research paper topics for commerce

21+ Best And Interesting Research Topics For Commerce Students In 2023

Research is the systematic quest for knowledge, a crucial component in the academic journey. It holds immense significance for commerce students, as it provides insights into the complex world of business, economics, and finance. Understanding the importance of research in commerce studies can unlock countless opportunities for growth and innovation.

Choosing a research topic in commerce is a vital step. It’s the compass that guides your academic expedition. In this blog, research topics for commerce students, we delve into the intricacies of this process, offering 21+ captivating ideas for 2023.

Our topics span various subfields, from Accounting and Finance to Marketing and Sales Management. We will also share valuable tips for successfully completing your commerce research and tackling the challenges commerce students face during their research journey.

Stay tuned with us to explore the exciting research topics for commerce students.

What Is Research?

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Research is like being a detective, but instead of solving crimes, you’re solving puzzles about the world. It’s a careful and organized way to find out more about something. Imagine you have a big question, like “How do plants grow?” or “What makes people happy?” Research helps you gather information, like reading books, asking experts, or doing experiments to find answers to your questions. It’s like putting together pieces of a jigsaw puzzle until you see the full picture, and it’s how we learn new things about the world around us.

Importance Of Research In Commerce Studies

Here are some importance of research in commerce studies:

1. Informed Decision-Making

Research in commerce studies provides the information needed to make smart choices, ensuring decisions are based on facts rather than guesswork, which is essential for success.

2. Keeping Up with Trends

Commerce research keeps you updated on what’s new and popular, helping you adapt your products or services to stay appealing and competitive in the market.

3. Solving Problems and Being Creative

Research encourages creative problem-solving, offering fresh ideas and solutions to navigate challenges and improve how you do business.

4. Understanding Your Customers

Your customers’ likes and needs can help you make your products and services better, which will make them happy and keep them coming back.

5. Planning for the Future

Commerce research serves as a crystal ball, helping you prepare for future challenges and opportunities, ensuring you’re ready for what lies ahead.

How To Choose A Research Topic In Commerce?

Choosing a research topic in commerce is a crucial step in the research process. Your topic should be interesting to you and relevant and significant in the field of commerce. Here are seven key considerations to help you select the right research topic:

Identify Your Interests: Start by exploring your own interests and passion within the field of commerce. Choosing a topic that genuinely excites you will make the research process more enjoyable and productive.
Review Current Trends: Stay updated on the latest trends and developments in commerce. A relevant and timely topic is more likely to capture the attention of your audience and contribute to the existing knowledge.
Narrow Down Your Focus: Commerce is a broad field; therefore, it’s essential to narrow down your research focus. Consider specific aspects of commerce, such as e-commerce, international trade, or marketing strategies.
Research Feasibility: Assess the availability of resources, data, and information for your chosen topic. Ensure you can access the necessary research materials to support your investigation.
Consider the Impact: Think about the potential impact of your research. Will it address a particular problem, provide practical solutions, or offer valuable insights to the commerce community?
Consult with Advisors : Talk to your academic teachers or mentors for help. Based on their knowledge, they can give you useful advice and help you narrow down your study topic.
Pilot Research: Before finalizing your topic, consider conducting preliminary research or a pilot study to gauge the depth and scope of the chosen subject. This can help you refine your focus further.

Tips For Successfully Completing The Commerce Research

Here are some tips for completing the commerce research:

Tip 1: Define Your Research Question Clearly

To complete your commerce research successfully, start by defining your research question clearly. This question will guide your entire study and help you stay focused on what you want to investigate. Ensure it’s specific and well-defined to avoid getting lost in irrelevant information.

Tip 2: Plan Your Research Timeline

Create a research timeline to manage your time effectively. Break down your project into smaller tasks with deadlines. This will help you stay on top of things and avoid rushing at the last minute, giving you more time to do thorough research and analysis.

Tip 3: Gather Reliable Sources

For a successful commerce research project, gather information from reliable sources. Use academic journals, books, reputable websites, and official reports. Citing credible sources will strengthen your research and demonstrate your knowledge.

Tip 4: Analyze and Interpret Data

After gathering information, don’t just show it; look it over and figure out what it means. Explain what the results mean and how they connect to your study question. If they help you get your point across, use charts, graphs, or lists.

Tip 5: Revise and Proofread Your Work

Before submitting your research, take the time to revise and proofread. Check for spelling, grammar, and formatting errors. Ensure your paper flows logically and presents your research in a well-structured manner. A polished final product will leave a positive impression on your readers.

In this section, we will discuss 21+ best and interesting research topics for commerce students in 2023:

I. Accounting and Finance

Accounting and Finance involve the management of money and resources within an organization. Here are three project topics in this category:

1. Financial Statement Analysis

Financial statement analysis projects focus on evaluating a company’s financial health by examining its balance sheet, income statement, and cash flow statement. It helps in making informed investment decisions or assessing a company’s creditworthiness.

Ratio analysis
Trend analysis
Comparative analysis
Common-size analysis
DuPont analysis

2. Budgeting and Forecasting

Budgeting and forecasting projects aim to create accurate financial plans for the future. This is crucial for organizations to allocate resources effectively and achieve financial goals.

Zero-based budgeting
Rolling budgets
Forecasting methods (e.g., time series analysis)
Budget variance analysis
Flexible budgeting

3. Risk Management and Insurance

These projects explore strategies to identify, assess, and mitigate financial risks within a business. It also involves examining the role of insurance in managing various types of risk.

Risk assessment
Hedging strategies
Catastrophic risk management
Types of insurance (e.g., property, liability, health)
Claims management

II. Business Management

Business management involves overseeing and coordinating various aspects of an organization to achieve its goals. Here are three project topics in this category:

5. Strategic Management

Strategic management projects delve into creating and implementing long-term plans to achieve a company’s vision and objectives. It includes assessing the competitive environment, formulating strategies, and ensuring their execution.

SWOT analysis
Porter’s Five Forces
Strategy formulation models (e.g., Ansoff Matrix)
Strategy execution and control
Corporate social responsibility in strategy

6. Leadership and Team Management

Projects in this area explore leadership styles, team dynamics, and how effective leadership can enhance team performance and organizational success.

Transformational leadership
Conflict resolution
Motivation and empowerment
Building high-performance teams
Leadership ethics

7. Change Management

Change management projects focus on planning and implementing organizational changes. It involves understanding the psychology of change, communication strategies, and overcoming resistance.

Kotter’s 8-Step Change Model
Change communication plans
Employee resistance and engagement
Change metrics and evaluation
Change leadership roles

III. Economics

Economics examines how societies allocate resources and make choices. Here are three project topics in this category:

8. Microeconomics of Consumer Behavior

Projects in this area explore how individuals make choices regarding consumption, budgeting, and the impact of factors like prices and income on these choices.

Utility theory
Consumer preferences
Budget constraints
Price elasticity of demand
Consumer surplus

9. Macroeconomic Policy Analysis

For these projects, you have to look at how fiscal and monetary policies, among other things, affect the economies of different countries. It looks at how they affect progress and economic stability.

Monetary policy tools (e.g., open market operations)
Fiscal policy tools (e.g., taxation)
Inflation targeting
Exchange rate policies
Economic growth models

10. Environmental Economics

Environmental economics projects explore the economic aspects of environmental issues, including resource allocation, externalities, and the design of policies to address environmental challenges.

The Tragedy of the Commons
Carbon pricing mechanisms
Cost-benefit analysis of environmental projects
Emission trading systems
Sustainable Development Economics

IV. E-Commerce and Information Technology

E-Commerce and Information Technology focus on online business operations and the use of technology in modern commerce. Here are three project topics in this category:

11. E-Commerce Website Development

Projects in this area involve designing, developing, and optimizing e-commerce websites, considering user experience, security, and effective product listings.

User interface design
Shopping cart functionality
Payment gateway integration
Mobile-responsive design
Search engine optimization (SEO)

12. Cybersecurity in E-Commerce

These projects address the critical need for cybersecurity in the e-commerce sector, including risk assessments, encryption, and fraud prevention strategies.

Data encryption protocols
Payment card security standards (PCI DSS)
Phishing and identity theft prevention
Penetration testing
Regulatory compliance (e.g., GDPR)

13. Big Data and Analytics in E-Commerce

Big data projects explore the collection and analysis of large datasets to gain insights into consumer behavior, optimize supply chains, and improve decision-making.

Data mining
Customer segmentation
Predictive analytics
Recommendation engines
Market basket analysis

V. Entrepreneurship and Small Business Management

Entrepreneurship and small business management focus on the creation and operation of small businesses. Here are three project topics in this category:

14. Business Plan Development

Projects in this area involve creating comprehensive business plans that cover market analysis, financial projections, and strategies for success.

Market research and validation
Financial forecasts
Marketing strategies
Operational plans
Exit strategies

15. Startup Financing and Funding

These projects explore various sources of capital for startups, such as venture capital, angel investors, loans, and crowdfunding.

Pitching to investors
Equity financing
Debt financing
Crowdfunding platforms
Bootstrapping strategies

15. Small Business Marketing Strategies

Marketing projects focus on cost-effective strategies for small businesses, including digital marketing, social media, content marketing, and customer relationship management.

Social media advertising
Email marketing
Content marketing
Customer retention strategies

VI. Global Business and International Trade

Global business and international trade explore the dynamics of commerce on a global scale. Here are three project topics in this category:

16. Market Entry Strategies for Foreign Markets

Projects in this area examine the different methods and considerations for entering and expanding into international markets, including exporting, franchising, joint ventures, and mergers and acquisitions.

Market research and selection
Entry mode analysis
Legal and cultural considerations
Global branding

17. Global Supply Chain Management

These projects delve into the complexities of managing global supply chains, optimizing logistics, and mitigating risks associated with international sourcing and distribution.

Supply chain visibility
Inventory management
Logistics and transportation
Vendor relationship management
Risk mitigation strategies

18. International Trade Policy and Agreements

This area explores the role of government policies and international agreements in shaping trade relations between countries and regions.

Trade barriers (e.g., tariffs, quotas)
Regional trade agreements (e.g., NAFTA, EU)
Dispute resolution mechanisms (e.g., WTO)
Trade liberalization
Trade compliance and documentation
Export-import regulations
Trade finance and letters of credit

VI. Law and Commerce

Law and commerce explore the legal framework businesses operate within. Here are three project topics in this category:

19. Business Contracts and Negotiation

Projects in this area examine the principles of contract law, negotiation strategies, and the drafting of effective business contracts to protect the interests of all parties involved.

Elements of a contract
Contract enforcement
Contract negotiation tactics
Boilerplate clauses
Remedies for contract breaches

20. Intellectual Property Rights

These projects focus on understanding and protecting intellectual property rights, including trademarks, patents, copyrights, and trade secrets, to safeguard a company’s innovations and creative works.

Trademark registration
Patent application process
Copyright infringement
Trade secret protection
IP licensing and litigation

21. Business Ethics and Corporate Social Responsibility (CSR)

Examining the ethical dimensions of commerce, these projects address corporate social responsibility, ethical decision-making, and the legal aspects of ethical business practices.

Ethical theories (e.g., utilitarianism, deontology)
CSR strategies
Whistleblowing and ethical reporting
Environmental regulations
Ethical codes of conduct

VI. Marketing and Sales Management

Marketing and sales management focus on promoting products and services and driving revenue growth. Here are three project topics in this category:

22. Digital Marketing and Social Media Strategy

Projects in this area explore the use of digital channels and social media platforms for marketing, including content creation, advertising, and audience engagement.

Social media marketing
Content creation and curation
Search engine marketing (SEM)
Influencer marketing
Analytics and ROI measurement

23. Consumer Behavior Analysis

These projects delve into understanding the psychology and behavior of consumers to develop effective marketing strategies and product positioning.

Market segmentation
Consumer decision-making process
Brand loyalty and perception
Pricing strategies
Neuromarketing techniques

24. Sales Force Management and Sales Techniques

Examining the strategies and tactics for building and managing successful sales teams, these projects explore techniques for increasing sales revenue.

Sales coaching training and development
Sales performance metrics
Customer relationship management (CRM)
Sales prospecting and lead generation
Sales closing techniques

Challenges Face By Commerce Students In Research And Overcome Techniques

Here are some challenges that are faced by commerce students in research:

1. Lack of Research Skills

Many commerce students face challenges in conducting research due to a lack of research skills, such as finding relevant sources and data, and structuring their work effectively.

Overcome Technique

Take research skills workshops.
Seek guidance from professors or librarians.
Practice by starting with smaller research projects.

2. Time Management

Balancing research with coursework and other responsibilities can be difficult for commerce students, leading to time management challenges.

Create a study schedule and stick to it.
Break research tasks into smaller, manageable chunks.
Use time management tools and apps.

3. Data Collection and Analysis

Many commerce students struggle with gathering and analyzing data, as it can be overwhelming and complex.

Learn statistical tools and software.
Collaborate with experts in data analysis.
Seek mentorship for guidance on data handling.

4. Writing and Presentation

Communicating research findings effectively through writing and presentations can be a challenge for commerce students.

Take writing and presentation courses.
Practice concise and clear communication.
Use templates and guidelines for structuring papers and presentations.

5. Lack of Motivation

Staying motivated throughout the research process can be a hurdle, particularly when facing setbacks or obstacles.

Set clear goals and rewards.
Find a study group or research partner for mutual motivation.
Remember the long-term benefits of your research for motivation.

Research topics for commerce students serves as a valuable compass for budding commerce scholars. We’ve unveiled the significance of research, emphasizing its role in enhancing understanding and driving innovation in this field. Selecting a research topic is a pivotal step, and we’ve provided a diverse array of 21+ engaging research topics for commerce students, ensuring ample choices for 2023.

Furthermore, we’ve shared practical tips for successful research completion and addressed common challenges faced by commerce students, offering effective techniques for overcoming them. With this guide, you’re well-equipped to embark on your research journey, unlocking the door to discovery and academic achievement in the realm of commerce.

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500+ Business Research Topics

Business research is an essential component of any successful organization, as it allows companies to make informed decisions based on data-driven insights. Whether it’s market research to identify new opportunities, or analyzing internal processes to improve efficiency, there are a vast array of business research topics that companies can explore. With the constantly evolving business landscape, it’s critical for organizations to stay up-to-date with the latest research trends and best practices to remain competitive. In this post, we’ll explore some of the most compelling business research topics that are currently being studied, providing insights and actionable recommendations for businesses of all sizes.

Business Research Topics

Business Research Topics are as follows:

The impact of social media on consumer behavior
Strategies for enhancing customer satisfaction in the service industry
The effectiveness of mobile marketing campaigns
Exploring the factors influencing employee turnover
The role of leadership in organizational culture
Investigating the relationship between corporate social responsibility and financial performance
Assessing the impact of employee engagement on organizational performance
The challenges and opportunities of global supply chain management
Analyzing the effectiveness of e-commerce platforms
Investigating the impact of organizational culture on employee motivation
The role of corporate governance in ensuring ethical business practices
Examining the impact of digital marketing on brand equity
Strategies for managing diversity and inclusion in the workplace
Exploring the effects of employee empowerment on job satisfaction
The role of innovation in business growth
Analyzing the impact of mergers and acquisitions on company performance
Investigating the impact of workplace design on employee productivity
The challenges and opportunities of international business expansion
Strategies for managing talent in the knowledge economy
The role of artificial intelligence in transforming business operations
Examining the impact of customer loyalty programs on retention and revenue
Investigating the relationship between corporate social responsibility and brand reputation
The role of emotional intelligence in effective leadership
The impact of digital transformation on small and medium-sized enterprises
Analyzing the effectiveness of green marketing strategies
The role of entrepreneurship in economic development
Investigating the impact of employee training and development on organizational performance
The challenges and opportunities of omnichannel retailing
Examining the impact of organizational change on employee morale and productivity
The role of corporate social responsibility in attracting and retaining millennial talent
Analyzing the impact of employee motivation on organizational culture
Investigating the impact of workplace diversity on team performance
The challenges and opportunities of blockchain technology in business operations
Strategies for managing cross-functional teams
The role of big data analytics in business decision-making
Examining the impact of corporate social responsibility on customer loyalty
Investigating the relationship between corporate social responsibility and employee engagement
The impact of social media marketing on customer engagement and brand loyalty.
The effectiveness of AI in improving customer service and satisfaction.
The role of entrepreneurship in economic development and job creation.
The impact of the gig economy on the labor market.
The effects of corporate social responsibility on company profitability.
The role of data analytics in predicting consumer behavior and market trends.
The effects of globalization on the competitiveness of small businesses.
The impact of e-commerce on traditional brick-and-mortar retail.
The role of emotional intelligence in leadership and team management.
The effects of workplace diversity on employee productivity and satisfaction.
The role of corporate culture in employee retention and satisfaction.
The impact of employee training and development on company performance.
The effectiveness of performance-based pay structures on employee motivation.
The impact of sustainability practices on company reputation and profitability.
The effects of artificial intelligence on job displacement and the future of work.
The role of innovation in the growth and success of small businesses.
The impact of government regulations on business operations and profitability.
The effects of organizational structure on company performance and efficiency.
The role of emotional labor in service industries.
The impact of employee empowerment on job satisfaction and retention.
The effects of workplace flexibility on employee productivity and well-being.
The role of emotional intelligence in negotiation and conflict resolution.
The impact of branding on consumer behavior and purchase decisions.
The effects of customer experience on brand loyalty and advocacy.
The role of storytelling in marketing and advertising.
The impact of consumer psychology on pricing strategies and sales.
The effects of influencer marketing on consumer behavior and brand loyalty.
The role of trust in online transactions and e-commerce.
The impact of product design on consumer perception and purchasing decisions.
The effects of customer satisfaction on company profitability and growth.
The role of social entrepreneurship in addressing societal problems and creating value.
The impact of corporate governance on company performance and stakeholder relations.
The effects of workplace harassment on employee well-being and company culture.
The role of strategic planning in the success of small businesses.
The impact of technology on supply chain management and logistics.
The effects of customer segmentation on marketing strategies and sales.
The role of corporate philanthropy in building brand reputation and loyalty.
The impact of intellectual property protection on innovation and creativity.
The effects of trade policies on international business operations and profitability.
The role of strategic partnerships in business growth and expansion.
The impact of digital transformation on organizational structure and operations.
The effects of leadership styles on employee motivation and performance.
The role of corporate social activism in shaping public opinion and brand reputation.
The impact of mergers and acquisitions on company performance and stakeholder value.
The effects of workplace automation on job displacement and re-skilling.
The role of cross-cultural communication in international business operations.
The impact of workplace stress on employee health and productivity.
The effects of customer reviews and ratings on online sales and reputation.
The role of competitive intelligence in market research and strategy development.
The impact of brand identity on consumer trust and loyalty.
The impact of organizational structure on innovation and creativity
Analyzing the effectiveness of virtual teams in global organizations
The role of corporate social responsibility in crisis management
The challenges and opportunities of online marketplaces
Strategies for managing cultural diversity in multinational corporations
The impact of employer branding on employee retention
Investigating the impact of corporate social responsibility on investor behavior
The role of technology in enhancing customer experience
Analyzing the impact of social responsibility initiatives on customer satisfaction
Investigating the impact of supply chain disruptions on business performance
The role of business ethics in organizational decision-making
The challenges and opportunities of artificial intelligence in customer service
Strategies for managing employee burnout and stress in the workplace.
Impact of social media on consumer behavior and its implications for businesses.
The impact of corporate social responsibility on company performance.
An analysis of the relationship between employee satisfaction and customer loyalty.
The effect of advertising on consumer behavior.
A study on the effectiveness of social media marketing in building brand image.
The impact of technological innovations on business strategy and operations.
The relationship between leadership style and employee motivation.
A study of the effects of corporate culture on employee engagement.
An analysis of the factors influencing consumer buying behavior.
The effectiveness of training and development programs in enhancing employee performance.
The impact of global economic factors on business decision-making.
The role of organizational communication in achieving business goals.
The relationship between customer satisfaction and business success.
A study of the challenges and opportunities in international business.
The effectiveness of supply chain management in improving business performance.
An analysis of the factors influencing customer loyalty in the hospitality industry.
The impact of employee turnover on organizational performance.
A study of the impact of corporate governance on company performance.
The role of innovation in business growth and success.
An analysis of the relationship between marketing and sales performance.
The effect of organizational structure on employee behavior.
A study of the impact of cultural differences on business negotiations.
The effectiveness of pricing strategies in increasing sales revenue.
The impact of customer service on customer loyalty.
A study of the role of human resource management in business success.
The impact of e-commerce on traditional brick-and-mortar businesses.
An analysis of the relationship between employee empowerment and job satisfaction.
The effectiveness of customer relationship management in building brand loyalty.
The role of business ethics in corporate decision-making.
A study of the impact of digital marketing on consumer behavior.
The effect of organizational culture on employee turnover.
An analysis of the factors influencing employee engagement in the workplace.
The impact of social media on business communication and marketing.
A study of the relationship between customer service and customer loyalty in the airline industry.
The role of diversity and inclusion in business success.
The effectiveness of performance management systems in improving employee performance.
The impact of corporate social responsibility on employee engagement.
A study of the factors influencing business expansion into new markets.
The role of brand identity in customer loyalty and retention.
The effectiveness of change management strategies in organizational change.
The impact of organizational structure on organizational performance.
A study of the impact of technology on the future of work.
The relationship between innovation and competitive advantage in the marketplace.
The effect of employee training on organizational performance.
An analysis of the impact of online reviews on consumer behavior.
The role of leadership in shaping organizational culture.
The effectiveness of talent management strategies in retaining top talent.
The impact of globalization on small and medium-sized enterprises.
A study of the relationship between corporate social responsibility and brand reputation.
The effectiveness of employee retention strategies in reducing turnover rates.
The role of emotional intelligence in leadership and employee engagement.
The impact of digital marketing on customer behavior
The role of organizational culture in employee engagement and retention
The effects of employee training and development on organizational performance
The relationship between corporate social responsibility and financial performance
The impact of globalization on business strategy
The importance of supply chain management in achieving competitive advantage
The role of innovation in business growth and sustainability
The impact of e-commerce on traditional retail businesses
The role of leadership in managing change in organizations
The effects of workplace diversity on organizational performance
The impact of social media on brand image and reputation
The relationship between employee motivation and productivity
The role of organizational structure in promoting innovation
The effects of customer service on customer loyalty
The impact of globalization on small businesses
The role of corporate governance in preventing unethical behavior
The effects of technology on job design and work organization
The relationship between employee satisfaction and turnover
The impact of mergers and acquisitions on organizational culture
The effects of employee benefits on job satisfaction
The impact of cultural differences on international business negotiations
The role of strategic planning in organizational success
The effects of organizational change on employee stress and burnout
The impact of business ethics on customer trust and loyalty
The role of human resource management in achieving competitive advantage
The effects of outsourcing on organizational performance
The impact of diversity and inclusion on team performance
The role of corporate social responsibility in brand differentiation
The effects of leadership style on organizational culture
The Impact of Digital Marketing on Brand Equity: A Study of E-commerce Businesses
Investigating the Relationship between Employee Engagement and Organizational Performance
Analyzing the Effects of Corporate Social Responsibility on Customer Loyalty and Firm Performance
An Empirical Study of the Factors Affecting Entrepreneurial Success in the Technology Sector
The Influence of Organizational Culture on Employee Motivation and Job Satisfaction: A Case Study of a Service Industry
Investigating the Impact of Organizational Change on Employee Resistance: A Comparative Study of Two Organizations
An Exploration of the Impact of Artificial Intelligence on Supply Chain Management
Examining the Relationship between Leadership Styles and Employee Creativity in Innovative Organizations
Investigating the Effectiveness of Performance Appraisal Systems in Improving Employee Performance
Analyzing the Role of Emotional Intelligence in Leadership Effectiveness: A Study of Senior Managers
The Impact of Transformational Leadership on Employee Motivation and Job Satisfaction in the Healthcare Sector
Evaluating the Effectiveness of Talent Management Strategies in Enhancing Organizational Performance
A Study of the Effects of Customer Relationship Management on Customer Retention and Loyalty
Investigating the Impact of Corporate Governance on Firm Performance: Evidence from Emerging Markets
The Relationship between Intellectual Capital and Firm Performance: A Case Study of Technology Firms
Analyzing the Effectiveness of Diversity Management in Improving Organizational Performance
The Impact of Internationalization on the Performance of Small and Medium-sized Enterprises: A Comparative Study of Developed and Developing Countries
Examining the Relationship between Corporate Social Responsibility and Financial Performance: A Study of Listed Firms
Investigating the Influence of Entrepreneurial Orientation on Firm Performance in Emerging Markets
Analyzing the Impact of E-commerce on Traditional Retail Business Models: A Study of Brick-and-Mortar Stores
The Effect of Corporate Reputation on Customer Loyalty and Firm Performance: A Study of the Banking Sector
Investigating the Factors Affecting Consumer Adoption of Mobile Payment Systems
The Role of Corporate Social Responsibility in Attracting and Retaining Millennial Employees
Analyzing the Impact of Social Media Marketing on Brand Awareness and Consumer Purchase Intentions
A Study of the Effects of Employee Training and Development on Job Performance
Investigating the Relationship between Corporate Culture and Employee Turnover: A Study of Multinational Companies
The Impact of Business Process Reengineering on Organizational Performance: A Study of Service Industries
An Empirical Study of the Factors Affecting Internationalization Strategies of Small and Medium-sized Enterprises
The Effect of Strategic Human Resource Management on Firm Performance: A Study of Manufacturing Firms
Investigating the Influence of Leadership on Organizational Culture: A Comparative Study of Two Organizations
The Impact of Technology Adoption on Organizational Productivity: A Study of the Healthcare Sector
Analyzing the Effects of Brand Personality on Consumer Purchase Intentions: A Study of Luxury Brands
The Relationship between Corporate Social Responsibility and Customer Perceptions of Product Quality: A Study of the Food and Beverage Industry
Investigating the Effectiveness of Performance Management Systems in Improving Employee Performance: A Study of a Public Sector Organization
The Impact of Business Ethics on Firm Performance: A Study of the Banking Industry
Examining the Relationship between Employee Engagement and Customer Satisfaction in the Service Industry
Investigating the Influence of Entrepreneurial Networking on Firm Performance: A Study of Small and Medium-sized Enterprises
The Effect of Corporate Social Responsibility on Employee Retention: A Study of High-tech Firms
The impact of workplace communication on employee engagement
The role of customer feedback in improving service quality
The effects of employee empowerment on job satisfaction
The impact of innovation on customer satisfaction
The role of knowledge management in organizational learning
The effects of product innovation on market share
The impact of business location on customer behavior
The role of financial management in business success
The effects of corporate social responsibility on employee engagement
The impact of cultural intelligence on cross-cultural communication
The role of social media in crisis management
The effects of corporate branding on customer loyalty
The impact of globalization on consumer behavior
The role of emotional intelligence in leadership effectiveness
The effects of employee involvement in decision-making on job satisfaction
The impact of business strategy on market share
The role of corporate culture in promoting ethical behavior
The effects of corporate social responsibility on investor behavior
The impact of sustainability on brand image and reputation
The role of corporate social responsibility in reducing carbon emissions.
The effectiveness of loyalty programs on customer retention
The benefits of remote work for employee productivity
The impact of environmental sustainability on consumer purchasing decisions
The role of brand identity in consumer loyalty
The relationship between employee satisfaction and customer satisfaction
The impact of e-commerce on traditional brick-and-mortar stores
The effectiveness of online advertising on consumer behavior
The impact of leadership styles on employee motivation
The role of corporate social responsibility in brand perception
The impact of workplace diversity on organizational performance
The effectiveness of gamification in employee training programs
The impact of pricing strategies on consumer behavior
The effectiveness of mobile marketing on consumer engagement
The impact of emotional intelligence on leadership effectiveness
The role of customer service in consumer loyalty
The impact of technology on supply chain management
The effectiveness of employee training programs on job performance
The impact of culture on consumer behavior
The effectiveness of performance appraisal systems on employee motivation
The impact of social responsibility on organizational performance
The role of innovation in business success
The impact of ethical leadership on organizational culture
The effectiveness of cross-functional teams in project management
The impact of government regulations on business operations
The role of strategic planning in business growth
The impact of emotional intelligence on team dynamics
The effectiveness of supply chain management on customer satisfaction
The impact of workplace culture on employee satisfaction
The role of employee engagement in organizational success
The impact of globalization on organizational culture
The effectiveness of virtual teams in project management
The impact of employee turnover on organizational performance
The role of corporate social responsibility in talent acquisition
The impact of technology on employee training and development
The effectiveness of knowledge management on organizational learning
The impact of organizational structure on employee motivation
The role of innovation in organizational change
The impact of cultural intelligence on global business operations
The effectiveness of marketing strategies on brand perception
The impact of change management on organizational culture
The role of leadership in organizational transformation
The impact of employee empowerment on job satisfaction
The effectiveness of project management methodologies on project success
The impact of workplace communication on team performance
The role of emotional intelligence in conflict resolution
The impact of employee motivation on job performance
The effectiveness of diversity and inclusion initiatives on organizational performance.
The impact of social media on consumer behavior and buying decisions
The role of diversity and inclusion in corporate culture and its effects on employee retention and productivity
The effectiveness of remote work policies on job satisfaction and work-life balance
The impact of customer experience on brand loyalty and revenue growth
The effects of environmental sustainability practices on corporate reputation and financial performance
The role of corporate social responsibility in consumer purchasing decisions
The effectiveness of leadership styles on team performance and productivity
The effects of employee motivation on job performance and turnover
The impact of technology on supply chain management and logistics efficiency
The role of emotional intelligence in effective leadership and team dynamics
The impact of artificial intelligence and automation on job displacement and workforce trends
The effects of brand image on consumer perception and purchasing decisions
The role of corporate culture in promoting innovation and creativity
The impact of e-commerce on traditional brick-and-mortar retail businesses
The effects of corporate governance on financial reporting and transparency
The effectiveness of performance-based compensation on employee motivation and productivity
The impact of online reviews and ratings on consumer trust and brand reputation
The effects of workplace diversity on innovation and creativity
The impact of mobile technology on marketing strategies and consumer behavior
The role of emotional intelligence in customer service and satisfaction
The effects of corporate reputation on financial performance and stakeholder trust
The impact of artificial intelligence on customer service and support
The role of organizational culture in promoting ethical behavior and decision-making
The effects of corporate social responsibility on employee engagement and satisfaction
The impact of employee turnover on organizational performance and profitability
The role of customer satisfaction in promoting brand loyalty and advocacy
The effects of workplace flexibility on employee morale and productivity
The impact of employee wellness programs on absenteeism and healthcare costs
The role of data analytics in business decision-making and strategy formulation
The effects of brand personality on consumer behavior and perception
The impact of social media marketing on brand awareness and customer engagement
The role of organizational justice in promoting employee satisfaction and retention
The effects of corporate branding on employee motivation and loyalty
The impact of online advertising on consumer behavior and purchasing decisions
The role of corporate entrepreneurship in promoting innovation and growth
The effects of cultural intelligence on cross-cultural communication and business success
The impact of workplace diversity on customer satisfaction and loyalty
The role of ethical leadership in promoting employee trust and commitment
The effects of job stress on employee health and well-being
The impact of supply chain disruptions on business operations and financial performance
The role of organizational learning in promoting continuous improvement and innovation
The effects of employee engagement on customer satisfaction and loyalty
The impact of brand extensions on brand equity and consumer behavior
The role of strategic alliances in promoting business growth and competitiveness
The effects of corporate transparency on stakeholder trust and loyalty
The impact of digital transformation on business models and competitiveness
The role of business ethics in promoting corporate social responsibility and sustainability
The effects of employee empowerment on job satisfaction and organizational performance.
The role of corporate governance in mitigating unethical behavior in multinational corporations.
The effects of cultural diversity on team performance in multinational corporations.
The impact of corporate social responsibility on consumer loyalty and brand reputation.
The relationship between organizational culture and employee engagement in service industries.
The impact of globalization on the competitiveness of small and medium enterprises (SMEs).
The effectiveness of performance-based pay systems on employee motivation and productivity.
The relationship between innovation and corporate performance in the pharmaceutical industry.
The impact of digital marketing on the traditional marketing mix.
The role of emotional intelligence in leadership effectiveness in cross-cultural teams.
The relationship between corporate social responsibility and financial performance in the banking sector.
The impact of diversity management on employee satisfaction and retention in multinational corporations.
The relationship between leadership style and organizational culture in family-owned businesses.
The impact of e-commerce on supply chain management.
The effectiveness of training and development programs on employee performance in the retail sector.
The impact of global economic trends on strategic decision-making in multinational corporations.
The relationship between ethical leadership and employee job satisfaction in the healthcare industry.
The impact of employee empowerment on organizational performance in the manufacturing sector.
The relationship between corporate social responsibility and employee well-being in the hospitality industry.
The impact of artificial intelligence on customer service in the banking industry.
The relationship between emotional intelligence and employee creativity in the technology industry.
The impact of big data analytics on customer relationship management in the telecommunications industry.
The relationship between organizational culture and innovation in the automotive industry.
The impact of internationalization on the performance of SMEs in emerging markets.
The effectiveness of performance appraisal systems on employee motivation and retention in the public sector.
The relationship between diversity management and innovation in the pharmaceutical industry.
The impact of social entrepreneurship on economic development in developing countries.
The relationship between transformational leadership and organizational change in the energy sector.
The impact of online customer reviews on brand reputation in the hospitality industry.
The effectiveness of leadership development programs on employee engagement in the finance industry.
The relationship between corporate social responsibility and employee turnover in the retail sector.
The impact of artificial intelligence on the recruitment and selection process in the technology industry.
The relationship between organizational culture and employee creativity in the fashion industry.
The impact of digital transformation on business models in the insurance industry.
The relationship between employee engagement and customer satisfaction in the service industry.
The impact of mergers and acquisitions on organizational culture and employee morale.
The effectiveness of knowledge management systems on organizational performance in the consulting industry.
The impact of social media marketing on brand loyalty in the food and beverage industry.
The relationship between emotional intelligence and customer satisfaction in the airline industry.
The impact of blockchain technology on supply chain management in the logistics industry.
The relationship between corporate social responsibility and employee engagement in the technology industry.
The impact of digitalization on talent management practices in the hospitality industry.
The effectiveness of reward and recognition programs on employee motivation in the manufacturing industry.
The impact of industry 4.0 on organizational structure and culture in the aerospace industry.
The relationship between leadership style and team performance in the construction industry.
The impact of artificial intelligence on financial forecasting and decision-making in the banking sector.
The relationship between corporate social responsibility and customer loyalty in the automotive industry.
The impact of virtual teams on employee communication and collaboration in the pharmaceutical industry.
The impact of remote work on employee productivity and job satisfaction
The effects of social media marketing on customer engagement and brand loyalty
The role of artificial intelligence in streamlining supply chain management
The effectiveness of employee training and development programs on organizational performance
The impact of diversity and inclusion initiatives on organizational culture and employee satisfaction
The role of corporate social responsibility in enhancing brand reputation and customer loyalty
The effects of e-commerce on small businesses and local economies
The impact of big data analytics on marketing strategies and customer insights
The effects of employee empowerment on organizational innovation and performance
The impact of globalization on the hospitality industry
The effects of corporate governance on organizational performance and financial outcomes
The role of customer satisfaction in driving business growth and profitability
The impact of artificial intelligence on financial forecasting and risk management
The effects of corporate culture on employee engagement and retention
The role of green marketing in promoting environmental sustainability and brand reputation
The impact of digital transformation on the retail industry
The effects of employee motivation on job performance and organizational productivity
The role of customer experience in enhancing brand loyalty and advocacy
The impact of international trade agreements on global business practices
The effects of artificial intelligence on customer service and support
The role of organizational communication in facilitating teamwork and collaboration
The impact of corporate social responsibility on employee motivation and retention
The effects of global economic instability on business decision-making
The role of leadership styles in organizational change management
The impact of social media influencers on consumer behavior and purchasing decisions
The effects of employee well-being on organizational productivity and profitability
The role of innovation in driving business growth and competitive advantage
The impact of digital marketing on consumer behavior and brand perception
The role of strategic planning in organizational success and sustainability
The impact of e-commerce on consumer privacy and data security
The effects of corporate reputation on customer acquisition and retention
The role of diversity and inclusion in organizational creativity and innovation
The impact of artificial intelligence on customer relationship management
The effects of customer feedback on product development and innovation
The role of employee job satisfaction in reducing turnover and absenteeism
The impact of global competition on business strategy and innovation
The effects of corporate branding on customer loyalty and advocacy
The role of digital transformation in enhancing organizational agility and responsiveness
The effects of employee empowerment on customer satisfaction and loyalty
The role of entrepreneurial leadership in driving business innovation and growth
The impact of digital disruption on traditional business models
The effects of organizational culture on innovation and creativity
The role of marketing research in developing effective marketing strategies
The impact of social media on customer relationship management
The effects of employee engagement on organizational innovation and competitiveness
The role of strategic partnerships in promoting business growth and expansion
The impact of global trends on business innovation and entrepreneurship

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257 Commerce Essay Topic Ideas & Examples

🏆 best commerce topic ideas & essay examples, 👍 good essay topics on commerce, 📌 interesting topics to write about commerce, 🎓 most interesting commerce topics to write about, ✅ simple & easy commerce essay titles, 📑 good research topics about commerce, ❓ e-commerce essay questions.

Online Grocery Store Business Plan The mission of the business is to provide fast and reliable delivery of groceries and consumer goods to all the esteemed customers at the comfort of their homes.
E-Commerce and Digital Marketing The e-commerce concepts to be addressed in the paper include the how the internet phenomenon has developed in the past decade, the companies that have gained from the online business concept, the losers, the opportunities […]
Role of Private International Law in E-Commerce Additionally, it has been hoped that private international law is the best means to alleviate complex issues in disputes such as those involving the use of the Internet.
Electronic Payment Systems for E-commerce Since e-commerce relates to selling goods and/or services over the internet, the issue of on-line payment system is intricately linked to the e-commerce phenomenon.
Starbucks Corporation’s E-Commerce and Social Enterprise The rapid decline in revenues experienced by Starbucks in 2007 was one of the major drivers for the company to introduce changes compliant with modernizations and digitalization of the business environment.
Tesco Company’s E-Commerce Implementation and Challenges To ensure that the data that was collected was effective and efficient, only constructs that were affected by the implementation of e-commerce were investigated in this study.
E-Commerce for the Organization McDonald’s Though the company started with the opening of its first restaurant by brothers Dick and Mac McDonald in 1940; the way the formal company was organized began in the year 1961 with Ray Croc, who […]
Delivering Web Content to Customers: Akamai Company A critical analysis of the case study indicates that optimizing network performance to achieve real-time delivery of web content and solve the problems identified above depends on the use of distributed servers.
E-Commerce: Amazon.com In order to improve knowledge management, the right source of information and also a thorough understanding of the same is pertinent.
E-Commerce and Risky Shopping Behaviors Although young online customers need to be at the forefront in minimizing possible risks arising from their online shopping behaviors, it is evident that more needs to be done to ensure these customers are able […]
A Managerial Perspective of Electronic Commerce This paper brings out the reasons for the decision of the oil traders to stay away from electronic commerce and the factors that will help to facilitate the oil trading to be done electronically.
Is E-Commerce Killing Brick and Mortar? The subject of the relationship between the brick and mortar retail and e-commerce has been the focus of attention of many economists and financial analysts.
E-Commerce and Internet The internet has changed the way people conduct businesses in the world. Another advantage of the internet is that a firm has access to large customer base.
E-Commerce Strategy and Action Plan Access to technology and factors which allow customers to have a large array of options from the comfort of their home have led to the formation of an extremely profitable e-commerce market.
E-Commerce at Alibaba Group The main objectives of Alibaba’s services and products designs is to pave way to the benefits of online accessibility to consumers, small businesses and entrepreneurs.
Reinventing E-Commerce: Amazon’s Bet on Unmanned Vehicle Delivery When the Internet secured customers’ safety and provided a decent connection, the barriers to enter the market were removed, giving rise to Amazon, eBay, and Dell.
Mobile Commerce: Opportunities and Dangers M-commerce is a new popular way of conducting business that is much beneficial for both the customer and the company; however, there are also critical disadvantages to this type of commerce.
E-Commerce: Amazon.com Analysis and Recommendations A brief history of Amazon.com Goals and objectives of Amazon.com: The main goal of Amazon.com is to become one of the most secure and customer-friendly places on the internet, where customers can find and […]
Walmart Company: Role of E-Commerce The issue is that many companies have managed to gain advantageous positions on the market, and it may be hard to compete with them.
E-Commerce Company Comparison: Walmart, Mirakl, eBay This presentation offers an overview of three companies that have different business models with detailed comparative analysis and recommendations.
What Is the Role of E-Commerce in Globalization? These are the advantages concerning the service providers; however, there are many characteristics of e-commerce that appeal to customers in saving their time and energy.
Pharmaceutical Sales Using E-Commerce This form of trade can give the international consumers easy access to purchase prescription products from anywhere in the world and hence making it a true global market for online pharmacies.
E-Commerce Strategies, Ethical and Legal Issues The YouTube page has the ability to identify the country of origin for the different users. Naturally, the company employs the pay-for-service model that enables people to access services depending on the value for their […]
Emaar Properties’ E-Commerce and Corporate Change In terms of marketing, Emaar thought that the e-commerce system would assist the company in advertising its corporate activities to reach the prospective investors and consumers interested in their activities and investing in the company.
ClothesHome E-Commerce Business Plan Keys to success The company’s keys to successes include: Provision of services that meet consumers’ needs Effective and continuous marketing User friendly and trendy website Enhancement of product quality The goal of ClothesHome Company is […]
“Assessing E-Commerce Systems Success” by Yi-Shun Wang The main focus of the analyzed article can be successfully derived from its title that emphasizes the necessity of assessing the success of e-commerce systems and validity of the use of the model of IS […]
E-Business and E-Commerce Marketplace Analysis 1 It should be mentioned that the term ‘e-business’ could be used to denote organizational strategy and operations as well as refer to the type of business that operates online.
Australia Post, E-Commerce and E-Parcel With its retail infrastructure all over Australia, Australia Post is in a position to deliver the produce ordered. Australia Post is charged with the responsibility of delivery.
Amazon as a Key Player in Global E-Commerce Market Speaking about the company’s establishment, first and foremost it is essential to point out the character of the relevant time period. One of the key factors that determine the company’s rapid growth and extension is […]
E-Business and E-Commerce Business to Consumer E-Commerce allows organizations to offer their products and services and generate revenue from the actual sale of those products and services to customers.
Science Development and Commerce In the first place, it is essential to make the government and local authorities to invest more into science. In conclusion, it is possible to note that commerce has a negative effect on development of […]
Impact of E-Commerce Technologies on Business Practices Some of the areas that will be tackled in this paper are: Evaluate and safeguard of clientele lifetime value Capitalize on constancy on customers and conviction Enhancing on customer public relation Get personal with the […]
Identity Theft and E-Commerce Criminals use social security numbers, financial records and other personal information to assume, or “steal” the identity of a person and conduct transactions without the knowledge of the victim.
The eBay Firm’s E-Commerce Analysis The key trends in digital business are cyber security and the democratization of AI. Therefore, eBay is using digital technology to meet the needs of its customers across the globe.
Changing Nature of Retail and the Rise of Commerce In order to dig further into the outlook of retail and how it is changing, I spoke to a couple of experts to gain insight into the retail sector, what strategies are retailers using to […]
E-Commerce Giant: Amazon Company The paper argues that the business model of the online retailer hinges on long-term investment and the development of technology, which is recognized as one of the main advantages of the company.
Advantages of E-Commerce at Walmart Placement of Walmart on Google searches has also been streamlined as the first six search results on Walmart USA are links to the company’s website.
E-Commerce System for a Clothing Company in Abu Dhabi Consequently, the following is the work breakdown configuration: Work Breakdown Configuration for the Development and Implementation of the e-Commerce Application Project Preliminary Study/Survey Understanding the Apparel Market and its trends in marketing and selling Evaluation […]
Factors that Influence the Development of M-Commerce For instance, one of the reasons explaining the realization of m-commerce in Japan and certain sections of Europe is the early introduction of third generation technology which is a standard platform for wireless networking. Perceived […]
The Development of E-Commerce The major advantage of e-commerce over the traditional ‘brick and mortar’ means of commerce is the reduction of the cost of doing business and the significant expansion of business.
Strategies for Exiting International Operations: Challenges and Solutions It may have been difficult for the organization to operate in this country because of the fact that; it did not understand the needs of the people.
E-Commerce Strategy and Implementation Plan for SatWorld The components of the User Interface and the system are: User Interface: The user interface is what the customer would be using.
E-Commerce Trust: UK-China Customer Relations Analysis The researcher clearly states the goals of the research in several parts of the beginning sections. The researcher has gone to the extent of providing factors that lead to the persisting distrusts among the participating […]
Guide to Online Shopping: Steps to Purchase from an E-Merchant The formalities/processes that one follows to purchase products from a retailer over the internet are many and a little bit cumbersome.
Outsourcing in the Global Economy: Strategies for Business Growth They speak of the benefits attained by spreading to other parts of the globe and boast of having to spend little amounts for the good relationships they develop with other nations.
E-Commerce Integration: Challenges, Strategic Models, and Future Prospects In the present context, corporate e-managers are challenged with the fundamental question of how to “capture, analyze and project” the changeover of the impact of e-commerce on the important or significant aspects of core processes […]
eCommerce Adoption: Transforming Global Business Landscape This is intended to find out how the popularity of eCommerce is spreading in several regions, Look at the benefits that are brought about by the use of eCommerce in several businesses in conducting transactions.
E-Commerce Directive for Internet Service Providers However, before delving into the details of this review, it is important to understand relevant cases that led to the formulation of the e-commerce directive 2000/31/EC in the first place.
E-Commerce Impact on Medicated Products’ Customer Behavior According to Hajli, the broad definition of e-commerce includes a vast array of activities and interactions that involve promoting a product to buyers who go on to make purchases, as well as the subsequent delivery […]
ICT Empowerment in Rural China: Evaluating E-Commerce’s Impact Leong et al.state that ICTs can become a vital empowerment tool and may help villages thrive in the situation when economic and social inequality between urban and rural areas in China is enormous regardless of […]
E-Commerce Taxation Challenges: A Global Perspective The volume of operations conducted on the Internet allows for the speculations on the possibility of the inevitable decline of the brick-and-mortar stores.
E-Commerce Evolution: Reshaping Business in the Digital Age Having determined the sphere, it is also vital to organize the functioning of the store in accordance with all existing laws and regulations which limit the functioning of the store of this kind.
Overcoming E-Commerce Barriers in Developing Countries This proposal outlines the model of developing research paper on the assessment of e-commerce barriers, which prevent the advance of information technologies in the countries of the ‘Third World.’ Thus, the proposed research paper will […]
Comparing E-Business vs. Traditional Business: Advantages and Disadvantages In E-business, by a click on the mouse, a potential customer is in a position to access exact product and make comparison on prices without having to appear physically in shops and stalls in the […]
E-Commerce in India: Growth, Challenges, and Future Prospects The economic infrastructures as well as the internet accessibility in the southern cities have contributed to the increased growth and expansion of e-commerce industry.
Internet Infrastructure: Australia vs. Laos It is estimated that the number of internet users in Laos is about 10% of the population while in Australia close to 80% of the population has access to the internet.
Amazon’s E-Commerce and Customer Purchase Phases The initial phase of the customer purchase journey is the awareness phase, where the client is alert to the desire and need for a service or a product.
E-Commerce: Doing Business Online It is not surprising that the article’s author cites the example of a global giant as Amazon, which trades everything in the world via the Internet. Another element of mobile marketing is the creation of […]
E-Commerce After the COVID-19 Pandemic In addition, in the wake of the pandemic, advertising by smaller e-commerce companies has substantially changed as well, especially in relation to the platforms used.
Data-Driven Decision-Making in E-Commerce Business A part of the problem is the fact that the solution is difficult to establish correctly over the massive amount of data that stems from the nature of online stores.
An E-Commerce Team’s Role in Business An e-commerce team has different specialists depending on the service and product type an organization sells and its business goals. The third procedure entails setting expectations to create an enabling environment for the team to […]
E-Commerce: Shopbop Website Analysis Overall, the website offers a good range of products and a fast delivery option, which are essential for online fashion retailers.
The Process of Moving to E-Commerce It is essential to understand that this is cannot be a quick process and requires considerable fine-tuning as the project builds, referring to the feedback from testers and customers who will be the first to […]
Workplace Inclusivity at International Bank of Commerce Even if employees of color do not ascribe significance to the unequal distribution of power in the bank, the lack of diversity is evident.
An E-Commerce Platform Project Proposal The application of these algorithms will be helpful to the client when choosing to purchase items, while the sellers will be able to access the complaints to make adjustable changes; the audience of this project […]
The Problem of Entering the Field of E-Commerce Thus, the business owner has to solve the problem of entering the field of e-commerce with the help of technology. The second technology is social computing the use of social media to promote the brand […]
An E-Commerce Strategy and Its Importance It is the e-commerce template that will provide the target market and the model of business that we will be using.
E-Commerce of Quadrupedal Apparel, Inc. Analysis The customer will always have the choice to go for a cheaper option provided by the company’s competitors, however, the quality and design of all products will be unique to Quadrupedal Apparel.
Amazon Web Services and E-Commerce Amazon Web Services QuiskSight business intelligence program may have different costs based on the number of users and the format of use.
E-Commerce Barrier in Entrepreneurship Many e-commerce firms confront a number of challenges, one of the most significant of which is the high cost of Internet access in many countries.
Congress’ Commerce Clause and the Supremacy Clause The Congress’ act of setting the shared responsibility payment at zero dollars in 2017 has led the Supreme Court to relook at the constitutionality of the ACA.
E-Commerce: An Expansion of Tools Corp Inc. to the Japanese Market The report offers an expansion of Tools Corp Inc.to the Japanese market, especially in e-commerce, to address these issues. Development and expansion to the Japanese market are necessary for Tools Corp for further success.
L’Oréal SA Products and E-Commerce In October 2020, the Luxe division of the corporate decided to shut a number of its shops within the USA and shift focus to e-commerce.
Nike and Amazon Firms’ Branding and E-Commerce On the one hand, it is the responsibility of the company to ensure positive and competent branding of the products internationally.
Macroeconomics Principles: International Commerce On the other hand, the higher the productivity gap, the greater the concentration of export businesses and the fewer their links with the rest of the economy.
E- Commerce and the Environment Introduction Reliance on the internet and mobile devices to do business leads to the so-called E-commerce. The term is hardly old, based on its adoption in the 2000s after the internet revolution. E-commerce is a real force in the present and future business world due to several facets. For example, the invention’s capacity to eliminate […]
Minting Coins, Incentives for Commerce, and Promissory Notes Therefore, to maintain a mercenary army to guard the aristocracy, the warriors of destiny had to preserve a status quo to share in the gains of battle.
The E-Commerce Law Adoption in Saudi Arabia E-commerce law in Saudi Arabia specifies how the jurisdiction of an online seller is determined. Thus, the jurisdiction of the business coincides with the place of its activity according to e-commerce law.
US Chamber of Commerce: Mission Statement, Activity The US Chamber of Commerce is right to lobby for policies and legislations that promote a conducive environment. One of the things that the US Chamber of Commerce needs focus on is to promote their […]
Air Cargo and E-Commerce The purpose of this paper is to discuss this video and the main benefits of air cargo described in it. This contributes to the creation of friendly and harmonious society in the future.
The Role of Gender in the Perception of Barriers to E-Commerce in the UAE In the Middle East, there are few economic and political opportunities for women as compared to what is available for men. This has been the trend for a long as men and women continue to […]
E-Commerce Business Management Electronic commerce entails the modern use of technology to advance business culture, especially promoted by the advent of computer network connections via internet.
E-Commerce as a Fast-Growing Trend in the Industry of Food With the development of e-commerce, food and beverage companies transmit the advertisement of their products, sustainability concerns, and the investigation of customer needs in a digital sphere.
Digitalization of E-Commerce in Bank of Ireland The interview with the Senior Director in the Property Finance division of Corporate Banking, Michael Murray, revealed the importance of the advance of digitalization for the Bank of Ireland. These and other technologies will enable […]
Electronic Commerce and Supply Chain Behavior The writer goes on to describe the positive effects of involving e-commerce in the supply chain. Another thing the author notes is that the implementation of e-commerce reduces the harmful effects of uncertainties in the […]
Adaptive Pricing E-Commerce Strategy Improvement The paper describes systemic understanding of the brand benefits of e-commerce and its transformation through an assessment of e-commerce, e-sales, and e-distribution.
China Cross-Border E-Commerce Report The topic for the investigation is chosen because of the growing importance of the online business and, at the same time, the robust economic power of China which now becomes one of the leading states […]
Increasing Last-Mile Delivery Efficiency in E-Commerce The goal of adopting this strategy in the data collection plan is to get the most updated information regarding the research issue.
The Social Economy: Impact of the E-Commerce In the proposed study, these three centres of data will be linked and evaluated to understand the impact of e-commerce on the social economy.
Lawrence Lessig, Remix: Making Art and Commerce Thrive in the Hybrid Economy The culture of read only is described as the culture people take in a submissive manner regardless of the degree of submissiveness.
Accounting: The Implementation of XBRL and E-Commerce In my accounting career, the implementation of XBRL and e-commerce will significantly reduce the time spent in data entry processes. In addition, it will determine the impacts of XBRL in my company since everyone will […]
Digital Publishing House: Balance of Creativity With Commerce Incorporating creativity with economics entails understanding the dynamics of the industry, as well as being in a position to manage the publishing house in a way that will sustain the business.
Computer Sciences Technology: E-Commerce E-commerce is synonymous with e-business and entails the buying and selling of goods and services on the internet especially the World Wide Web.
Google Jumps Into Fashion E-Commerce In addition, the organizational strategy of the company is to find new ways of serving customers. It is important for managers to embrace information systems in order to achieve the corporate goal of a business […]
The Theory of Utilitarianism in the Global E-Commerce Business Dealings Generally, it is of importance that businesses and corporations in e-commerce ensure ideal and sincere dealings to meet the expected level of satisfaction by their clients.
E-Commerce Types in the United Kingdom There have been several types adopted by companies, these includes e-shops, e-marketing and collaboration platform, however, E-business types adopted have varied, as the classification of the types show a discrepancy, other researchers such as Sweeney, […]
Troubles in the M-Commerce Structures The fact is that, before the options of the m-commerce, and the solutions of the difficulties closely linked with it became available, collecting funds for purchases and orders performed “on the road” required people to […]
Impacts of E-Commerce on Agriculture An analysis can be done to the decision-makers in the industry, agricultural and food products, business processes, firms as well as the interaction that results in the marketplaces, the structure of the market and the […]
Electronic Commerce Cycle Electronic commerce refers to an electronic mediated business or any business conducted using electronic as the media, it involves buying and selling of products or services using electronic systems such as the internet and other […]
E-Commerce at Maybelline The topic of the case study under analysis is the use of the outdated and modern e-commerce and interactive response systems in the business of color cosmetic products focused on field merchandising activities.
Slave Trade as Part of Atlantic Commerce However, from the beginning of the establishment of the Atlantic Trade and throughout its existence, the Africans were the voluntary sellers of their people.
Civil Rights Laws and Commerce Clause The aspect of Congress regulating prices between different states throughout the US indicates the existing relationship between the Act and the Commerce Clause. In conclusion, it is prudent to note that the Civil Rights laws […]
E-Commerce Shopping Carts Its dashboard is simple and does not force the user to search for additional instructions on the Internet. 3dcart is very helpful in terms of explaining to the user how to operate the platform there […]
The Benefits of Online Commerce Null Hypothesis – H0: There is a negative, significant effect of brand and product choices, pricing, return policy, security, and trust on online consumer spending.
Researching the E-Commerce Industry: The Currents Trends Etsy Financial Results in 2018 Overall, the e-commerce industry has been developing and will continue to evolve. Etsy, an online marketplace, is part of the e-commerce industry.
E-Commerce Applications in Turner Sports New Media The combination of both TV and Web services has allowed the companies to increase viewers since it’s possible to access it globally.
“On Broadway: Art and Commerce on the Great White Way” by Steven Adler The author casts light upon the current situation of Broadway art and the circumstances which may make the theatre to be at the border of decay.
An Interior Design: E-Commerce Business The major advantage of e commerce over the traditional ‘brick and mortar’ means of commerce is the reduction of the cost of doing business and the significant expansion of business.
Japan Commerce and Current Events The total volume of exports and imports and difference between the two components obtained over a given period of time, it is referred to as the balance of trade.
Internet Culture, E-Commerce, and New Economy In conclusion, the internet has made business transactions to be faster but some services offered on the internet are considered to be of low quality.
Joost Electronic Commerce and Applications In addition to the above, Joost has used ListenMusicFM to enable users of the site to find simple ways of listening and exploring new music on the site.
The Denver Chambers of Commerce and Public Policy The association of chambers of commerce around the world is referred to as the international Chambers of Commerce, with its headquarters in Paris.
Growth in E-Commerce for Travel Arrangements in Canada This growth in e-commerce has been attributed to an increased number of people gaining access to the internet rather than by rising in the tendency of use by existing users. This study, therefore, seeks to […]
Strategies of E-Business: Saudi Ceramics Provides E-Commerce For many international companies and local leaders in various branches of industry or provision of services it became too significant to join the space of the Internet developing and making wider the boarders of activity.
Eastman Chemical Industry: New E-Commerce Strategy Finally, Eastman Chemical Company was the first company to establish the e-brand and to open a Customer center for the consumers.
Brand Community Development in E-Commerce Age Besides, the advent of internet has helped the fast growth of brand community to evolve in many ways. Nevertheless, neither classification with the brand community nor product understanding has a major effect on customer’s readiness […]
Technological Innovation in E-Commerce Management Implementation or adoption of these innovations depends on the current technological level of the organization in question and an upgrade and/or replacement is not only necessary to ensure that a particular problem is solved or […]
US Constitution in the E-Commerce Context If we are speaking about E-commerce, one of the most stressful issues is the problem of privacy and confidentiality, because many people who prefer to operate in Web environment, try to make sure that their […]
International Delicacies Company’s E-Commerce It is expected that the majority of employees have good computer skills and knowledge in order to manage the site and process online orders.
Global Commerce: Term Definition Drug testing in the work place must look in to rights, and to determine what sorts of controls are morally permissible.
E-Commerce and Online Advertising Development The purpose of the paper is to highlight the principle of e-commerce approaches and functioning aspects of business management. Highlighting the basic marketing strategies of advertising sphere gives an opportunity to discipline and organize the […]
Commerce Between the United States and Other Countries The relationships between the United States and other countries, especially the developing ones, can be characterized as the relationships between the advertiser and the would-be customer or probably it would be better to say, the […]
Religion and Commerce in Portuguese Overseas Expansion This essay will highlight the factors that led to the expansion of the Portuguese to the overseas and how they became influential and managed to establish firm bases in Asia, Africa and South America.
Kudler Fine Foods: Aspect of Development of E-Commerce In the context of Kudler Fine Foods, how this could contribute to a useful and positive contribution to technological changes also needs to be seen in the light of concomitant efforts and commitment and could […]
E-Commerce: Analysis of Amazon Success The successful promotion and sale of items that are the ultimate result of the production line in authors’ publishers, labels and studios are of crucial importance for the purpose of completion of these lines of […]
Integration of E-Commerce Websites in Banking Systems A domain name should be got by the company and should focus on what it markets or what the company is about.
Ecology of Commerce: Green Taxes The Ecology of Commerce is a critical analysis of the way we conduct our business and our society today. This will provide incentives for businesses to produce things in an environmentally sound way, and it […]
Electronic Commerce and Open Source Software The third category of electronic commerce into business in which transactions take place within an organization, in an attempt to increase productivity, speed, and quality and so cut cost.
Electronic Commerce and the Social Enterprise The first security measure that is available for protecting the customer is the encryption of the online store. The third measure is the use of a password manager.
Self-Organizing E-Commerce Ecosystems in China’s Villages The given report is devoted to the in-depth analysis of the research paper by Leong, Pan, Newell, and Cui to achieve the improved understanding of issues covered by it and peculiarities of the study performed […]
Last Mile for E-Commerce The phenomenon of the last mile is traditionally referred to as the IT sphere and is supposed to denote the distance between the user and the IT company.
E-Commerce System’s Functional and Physical Requirements To understand the priority of the new system, the functional and physical features are to be considered along with the description of the particular processes which are to be completed by the members of the […]
Amazon Company: E-Commerce Course Consequently, the file size for the full-feature movie is 2.4GB.1. 6 MB 45Mb = 1 second 2457.
The Cleveland Clinic Website and E-Commerce Operations At first, firms used websites to promote their brands by allowing the online community to understand the values, mission, and vision of the firm and identifying the factors that make the brand unique in the […]
Topcars E-Commerce Company’s Marketing Management Within the first 3 years of operation, we expect to raise the sale of accessories and car design to generate most of our revenue stream.
Online Customer Engagement in E-Commerce The quantitative method was used to analyse the posts and comments of the clients of the banks in the Facebook communities.
Export Control by US Department of Commerce Controlling products exported from the U.S.is the responsibility of the Department of Commerce. The U.S.
E-Commerce and Its Effects on Business and Trade The emergence of digital and online technologies has paved the way for new opportunities and trends in global trade. In particular, the Internet has provided businesses with new communication channels that have sharpened the competition […]
Hermes House Company’s Need for E-Commerce With the onset of the crisis in the year 2008, the managers at Hermes fashion house started noticing a difference in the financial statements of the company.
Intrastate Commerce Law and the US Constitution Due to the fact that the interest of the state is higher than that of the country, the statute is thus regarded as unconstitutional since it affects the commerce of the states.
User Interface Usability on E-Commerce Platforms Through the study of Suh & Chang, it was noted that complications in online user interfaces, especially in the case of E-commerce platforms) lowered the likelihood of application patronage or even the possibility of a […]
Commerce, Medicine, Science in the Dutch Golden Age He gives an immensely enlightening analysis of science and medicine in the Dutch Golden Age.”The new philosophy” of the sixteenth and the seventeenth centuries appertains to the period of the scientific revolution that was taking […]
Blogging for Department of Tourism and Commerce Marketing One of the evident benefits of utilizing a blog for DTCM is the attraction of visitors to the main website. A blog is a relevant new media for DTCM because it allows commenting on the […]
Overcoming the Growing Challenge of E-Commerce The decline of physical stores and the growth of e-commerce prompts companies to conduct an environmental analysis to identify factors that could affect the success or failure of a business.
India’s Growing E-Commerce and Investment Motives The first group is online investors who wish to invest in Indian e-commerce, they may learn the advantages and disadvantages of indulging in the market, and they may weigh the options before making the decision.
New Business Concept: Online-To-Offline Commerce The majority of the customers are likely to be bargain shoppers who are willing to make a purchase of the desired product for the best price.
Facebook and Twitter Usage for E-Commerce This paper aims to discuss the question of Facebook and Twitter use for customer service and marketing, with the purpose to understand which companies are best suited for the mentioned platforms.
E-Commerce: Databases and Data Communications The use of social networking sites for individual and cooperate reasons has led to the development and improvement of databases and data communications.
E-Commerce Fashion Business in Saudi Arabia This fact is explained mostly by the popularity of the Internet among the citizens and the variety of products and services that can be bought there.
E-Commerce Adoption and Customer-Specific Barriers One of the customer-specific barriers to e-commerce adoption relates to the fact that many individuals are yet to realize the immense benefits associated with e-commerce applications, and are therefore unwilling to take the risk of […]
Indian E-Commerce Market’s Growing Popularity The growing popularity of smartphones and the Internet in India has become the perfect background for the development of the e-commerce market.
Electronic Commerce Initiatives and Activities In this case, the overall planning process implies the establishment of the objectives with the linkage to the business strategies and selection of the particular stages, which will support the overall development.
Waste in “The Ecology of Commerce” by Hawken This paper aims at analyzing several Hawken’s approaches with the help of which it is possible to comprehend the essence of waste and the outcomes it has in regards to people and the economics people […]
Dubai Tourism Promotion and Commerce Marketing For example, the city of Dubai, which is the focus of DTCM’s tourism promotion endeavours, was ranked position seven among the world’s most visited cities in 2013.
Dubai Department of Tourism and Commerce Marketing Consequently, this paper examines the tourism promotion efforts of Dubai with a focus on the body that is charged with the responsibility of overseeing tourism within the emirate.
Groupon Company’s E-Commerce and Environment
Mobile Self-Service E-Commerce Applications
Saudi E-Commerce, Its Opportunities and Challenges
E-Commerce and M-Commerce in the UAE Market
Emirati Today and Its E-Commerce Business Plan
The Development of Organ Transplantation: Commerce Legalizing
EBay and E-Commerce Business Strategies
Yahoo! E-Commerce: A/B vs. Multivariate Testing
Consumer Right to Privacy in E-Commerce and Zero Liability
China Chamber of International Commerce
Etihad Airways: E-Commerce in the Aviation Industry
E-Commerce Adoption and Business Positioning
Amazon.com: E-Commerce Marketing Plan
Internet Ethics: E-Commerce and Online Fraud
Operational Risks Related to Electronic Commerce
Future of E-Commerce: Data Collect Regarding Customer
E-Commerce Industry Development
E-Commerce: Sarbanes-Oxley Act Implications
How E-Commerce Reduces Problems of Traffic in Cities?
Commerce and Political Alliances
Home Depot Company’s E-Commerce Crime Case
B2B Internet Communication
Electronic Payment Issues in E-Commerce
E-Commerce: Mining Data for Better Business Intelligence
Globalisation and E-Commerce
Cultural Values and E-Commerce
Principles of Responsible Commerce
The Challenges of E-Commerce
Management Issues: Subjective Reflection on Commerce
Office Depot’s E-Commerce Evolution
E-Commerce Technology: Wal-Mart Corporation
Small & Medium Enterprises and E-Commerce Websites
Business Commerce and Consumer Privacy
Catatech Industries: The Question of Electronic Commerce
The Commerce Bank Cherry Hill
Web Analytics of E-Commerce
E-Commerce: Information Security
Internet Purchasing Portal to Facilitate Better Online Electronic Commerce Transactions in China
Issues in Electronic Commerce Security
Characterization of E-Commerce Traffic
E-Commerce Website for Music Videos
E-Business and E-Commerce and Information Systems
E-Commerce: Using It the Right Way
Extranet and B2B E-Commerce for Business
Mobile Commerce and the Evolving Wireless Technologies by Pouwan Lei and Jia Wang
The Impact of E-Commerce Technologies on Business Practices
Decker Computers: E-Commerce Website App
E-Commerce Business Plan
Amazon: E-Commerce Analysis
E-Commerce Management Issues: Universal Tube vs. Google
E-Tailing Behavior and Communication Mediums
E-Commerce Website: Creation, Growth and Security
Economics, Information Systems, and Electronic Commerce Strategy
Language and Communication for Business and Commerce
Critical Analysis of Commerce Platforms Amazon and e-Bay
Global Commerce: Asian Market Venture
Emergence of Payment Systems in the Age of Electronic Commerce: The State of the Art
E-Commerce in Developing Economies: Impact and Success Factors in China
Contrasting E-Business and E-Commerce in Narrower and Broader Terms
E-Commerce and Competitiveness: Amazon.ca and Chapters.Indigo.ca
Global Free Trade System and Commerce
Some of the Needs for Portals in Electronic Commerce (EC)
Ways KM Support E-Commerce
Security and Privacy Issues in E-Commerce
Greater Wilkes-Barre Chamber of Commerce
Mobile Commerce Technology
Interstate Commerce: Pacific Co. vs. Arizona
Social Business Networking and E-Commerce
Air Canada: Electronic Commerce in the Airline Industry
E-Commerce and Internet Marketing AND What Are Customer Opinion Good For?
Successful E-Commerce Business
The Role of E-Commerce in the Marketing
Central Commerce Collegiate Institute Designation
Legal Conflict Associated With Electronic Commerce
E-Commerce: Bridging Gap to E-Commerce Format and the Advantages and Disadvantages of Integration
E-Commerce: Flash 4 ActionScript
What Do You Mean by E-commerce?
What Are the Types of E-commerce?
What Is E-commerce and Its Benefits?
What Is the Most Selling Product in E-commerce?
Which Country Is Biggest for E-commerce?
What Does the E-commerce Cycle Look Like?
What Is the Most Common Type of E-commerce?
What Are the Advantages and Disadvantages of E-commerce?
What Are the Implications of E-commerce on Enforcing?
What Are the Modes of E-commerce?
What Are the Technological Innovations in E-commerce Management?
How Is Internet Culture and E-commerce Related?
What Are the Risks of Using E-commerce Systems?
Why Has Disintermediation Through E-Commerce Not Occurred to the Extent?
What Are the Benefits of Online Trading?
Which Is the Best E-commerce Company in the World?
What Product Is Highest in Demand?
What Are the Challenges in Mobile Commerce Structures?
What Is the Most Sold Item on Earth?
What Is Scope of E-commerce?
What Are Features of E-commerce?
What Is Impact of E-commerce?
What Are the Elements of E-commerce?
Who Is the Market Leader in E-Commerce?
What Items Do People Buy Online the Most?
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187 Commerce Essay Topics

🏆 best essay topics on commerce, ✍️ commerce essay topics for college, 👍 good commerce research topics & essay examples, 🌶️ hot commerce ideas to write about, 🎓 most interesting commerce research titles, 💡 simple commerce essay ideas, 📌 easy commerce essay topics, ❓ research questions about e-commerce.

Benefits of E-Commerce
Benefits and Drawbacks of Amazon E-Commerce
Jumia Nigeria E-Commerce Company’s Analysis
E-Commerce Business Models
Tesco.com: E-Business and E-Commerce Management
Future Trends of E-Commerce
E-Commerce in the Airline Industry
Toys R Us Company’s E-Commerce Strategy This essay examines whether Toys R Us should incorporate the use of online marketing in their sales plans within the vicinities of the Kingdom of Saudi Arabia or not.
E-commerce and E-business In the contemporary business environment, e-commerce and e-business have become critical elements of organizations’ strategies.
E-Commerce and E-Business Similarities E-business is a type of business strategy which includes a presence on the Internet. E-commerce refers to a set of online services which are used for financial transactions.
E-Commerce: Analysis of Amazon The E-commerce sector has become increasingly competitive, and Amazon has maintained its consumer focus in order to remain competitive.
The Social and Economic Importance of E-Commerce The intention of this report is to help shed light on how electronic commerce has influenced us, both economically and socially.
The Impact of E-Commerce on the External Audit Process The purpose of this report is to investigate the application of technology in commerce, with e-commerce being the focus.
Mobile Commerce in Tourism and Hospitality Sector Technological developments changed the manner in which communication took place and presented numerous opportunities for businesses.
E-Commerce in Small and Medium-Sized Enterprises E-commerce is a powerful machine that moves the world towards the information society. It is beneficial for the smallest as well as for the biggest companies.
E-Commerce Future in the Market Environment This paper explores the future of e-commerce coupled with giving suggestions on what companies can do to thrive in this dynamic and competitive market environment.
Bank of Credit and Commerce International Case When the branch offices of the Bank of Credit and Commerce International (BCCI) in seven countries were raided in early July 1991, one of the major bank scams involving billions of dollars was brought to light.
Feasibility Plan for E-Commerce of Food Delivery The use of cell phone innovation can be viewed as one of the creative approaches to assist organizations in improving their business execution in the global market.
Girlfunk Jewelry Company’s E-Commerce Business Plan The Girlfunk Jewelry specializes in the sustainable jewelry targeting the celebrity customer segment. It has a strategic e-commerce platform for ordering handmade jewelry designs.
E-Commerce: The Role of Artificial Intelligence Though the implementation of artificial intelligence within e-commerce continues to develop rapidly, there are several areas in which it affects the experiences of customers.
Walmart Corporation’s E-Commerce Business Plan The paper discusses Walmart’s e-commerce business plan. It is a retail corporation that runs businesses in different parts of the world with its headquarters in the US.
E-Commerce and Digital Technology for Small Businesses With proper customer value and cash flow management, E-commerce has helped small businesses incur a significant increase in revenue and better customer awareness.
E-Commerce: The Change in Consumer Shopping This paper aims to examine how the innovation and development of online stores led to customers choosing online shops instead of traditional shopping.
How E-Commerce Can Help Reduce Production Cycle Times? E-commerce has benefitted companies through the reduction of cycle time, facilitation of customer support, and empowerment of employees.
E-Commerce: Agile Project Management E-commerce is one of the most lucrative options for entrepreneurs. It is crucial to ensure that the website is of superior quality and is free of any defects.
E-Commerce in Business This paper demonstrates how e-commerce growth depends on external factors. The ability of the company to adapt to the needs of the target audience defines its success.
Analysis of the Trend of Electronic Commerce Two topics were discussed in the week, namely the future trends of e-commerce and how to make an online business successful.
Customer Relationship Management in E-Commerce A proper analysis of the SAP CRM system demonstration can help the company to deal with and solve different customer’s problems that are common in the real-world environment.
E-Commerce and Integrated Logistics to Customers This paper discusses the relationship between e-commerce and logistics, focusing on how integrated logistics is critical to the growth of e-commerce.
Discussion of E-commerce Market The paper analyzes the e-commerce market, the demand and supply side of the market, government regulations, and the market trends.
A Proposal on E-Commerce with Sportswear This proposal aimed at establishing an online retail clothing store that will specifically deal with sportswear. The focus will be to target the customers using digital technology.
Security for Internet E-Commerce Transactions E-commerce is becoming an important focus to many businesses across the globe because of the accompanying benefits and also because of the need to advance towards modern systems.
Social Commerce in China The presented paper is devoted to the in-depth investigation of social commerce and the way it evolves and functions in China.
Amazon’s E-Commerce Strategy Amazon’s latest IT/ IS strategy is a massive expansion of its e-commerce platform and creation of a new website to further encourage online-shopping.
Electronic Commerce Definition and Usage Electronic Commerce popularly known as e-commerce refers to commercial transactions performed online via electronic means.
Amazon.com as a Quality Delivery E-Commerce Company Nowadays, it is possible to state that Amazon.com is among those e-commerce companies that provide their clients with the best delivery service.
Business Processes Integration and Management in E-Commerce Environments The paper attempts to introduce supply chain management and explain the aspects of the e-supply chain, and how it can be integrated with e-commerce.
Bank of Credit and Commerce International’s Criminal Activity This case provides adequate information on how BCCI bank was involved in a global financial crime of laundering billions of dollars globally.
E-Commerce in Computer Science Area: Business Idea This proposal will discuss the setting up of an E-Commerce business that will essentially deal with the sale of electronic devices over the internet.
Hard Rock Café: E-Commerce and Globalization Hard Rock Café can utilize ICT and e-commerce models by hiring customer care executives working from home and submitting their work loads to the café’s head quarters.
The E-Commerce Case With Foodmart In his attempt to purchase the chocolate sauce which he saw in an advertisement, Todd agreed to the online contract of Foodmart.
Increase of E-Commerce Threat in Nowadays E-Commerce is the doing of commerce using Electronic Technology such as the internet, or other computer networks.
The Reverse Logistics in E-Commerce The study deals with how reverse logistic and e-commerce relate and the importance of reverse logistic in the e-commerce sector.
Using E-Commerce: A Technology-Based Business E-business provides a means to achieve a sustainable competitive advantage over competitors who are still using less technologically sophisticated techniques.
E-Commerce Start-Ups’ Challenges in the UAE Out of all the countries located in the Gulf Region, the UAE was considered one the most promising places for e-commerce development.
Cross-Border E-Commerce in China and Hong Kong This paper focuses on the impact of the new policies on cross-border e-commerce ecosystem in China and how it has impacted Hong Kong e-commerce environment.
China’s and Hong Kong’s Cross-Border E-Commerce This paper discusses the impacts of the new Cross-Border E-Commerce (CBE) policy in China and identifies the suitable CBE contributor to Hong Kong’s economy.
Health Tactical: The E-Commerce Platform Health Tactical’s e-commerce platform requires both hardware and software design that will enable it to integrate with other systems to offer the product to the target clients.
The Brick-And-Mortar Company: E-Commerce The Brick-and-Mortar Company has access to a wide range of new technologies that it might put to use to boost the amount of money that it generates.
E-Commerce: The Utility of Internet Retail The paper states e-commerce has no space restrictions, and websites can carry various products. It helps customers to get what they need.
Pepsi Co., E-Commerce and the Protection of User Information Pepsi Co. actively uses social networks in its advertising campaigns among customers and potential employees. They have LinkedIn, Facebook, and Twitter accounts.
Health Tactical: An E-Commerce Startup This project is an e-commerce startup going by the name Health Tactical that looks to sell groceries and common goods with a special focus on health aspects.
North American Colonies’ Connection to Atlantic Commerce by Laws The laws and trade of Atlantic commerce allowed the North American colonies to earn more profit for themselves, additionally enriching Britain.
Proper Management of the E-Commerce It is necessary to find out what and how an organization should do in order to carry out its e-commerce activities effectively without violating norms.
E-Commerce Business: Ineffective Leadership The aim of the research is to study the existing literature on e-commerce management and how leadership affects the viability of the company in the online business industry.
E-Commerce of Kitchen Concepts Company The article discusses the challenges of e-commerce, especially security issues and technical, and non-technical limitations.
Emirati Women and Barriers to E-Commerce in the UAE The paper seeks to investigate the role of gender in the perception of barriers to e-commerce in the United Arabs Emirates.
Medical Tourism in Poland: The Effectiveness of E-Commerce The main objective of this dissertation is to investigate the effectiveness of e-commerce in international trade with a case study of dentistry-based medical tourism in Poland.
Bolt E-Commerce Operations In optimizing e-commerce operations, Bolt Inc. has built online information systems which have positively enhanced its business processes.
Qualitative Research on the Gender Perception of E-Commerce This paper justifies the chosen phenomenology approach for the following research on gender behaviour in the perception of e-commerce.
Information Has Always Been Important in Warfare and Commerce Every organization must hold on to valuable consumer information that will help set forth their long-term strategies on service offerings and products.
Gender-Related Barriers to E-commerce Adoption in the UAE The work diagnoses the problem of low E-Commerce adoption among Emirati women by identifying barriers and proposing possible strategies and tactics for removing them.
Online Commerce: Jurisdiction, Copyright, and Privacy Issues The field of online commerce has great options for launching a website that would sell skin and body care products for Asian students.
Animal Transplantation and Commerce in Organs The animal – human transplantations and legalizing of commerce in organs are the two ways through which the shortage in organs can be tackled.
Animal Transplantation and Commerce in Organs Should Be Used to Reduce the Shortage in Organs This paper shall argue that animal transplantation and the commercialization of human transplantation organs should be legitimized.
Location-based Marketing on e-Commerce Such marketing strategies as Location-Based Marketing has been developed to improve and make online shopping more comfortable and convenient.
Mobile Commerce and Changing Customer Behavior The easiness and accessibility of buying via the internet compel people to spend more money than they would spend in a physical store.
The Case of E-Commerce Shopping The concept of electronic commerce is very relevant in today’s business world and most companies that operate nationally and internationally have their own e-commerce portals.
Gender in Perception of Barriers to E-commerce in UAE Gender has a major role in the perception of these barriers, which are encountered in the adoption of e-commerce in the UAE.
Mobile Commerce Adoption in Saudi Arabia The increasing mobile phones usage has opened up avenues for mobile commerce services across the globe in the recent years.
Electronic Commerce: Term Definition The concept of electronic commerce has become more and more popular as new technologies and the increasing availability of computers and other communication technologies.
The Relationship Between C-Commerce and Corporate Portal C-Commerce plays an important role in the success of business in today’s world of cut-throat competition where technology is the key element.
Collaboration Between C-Commerce and Corporate Portal Analysis of relationship between C-commerce and corporate portal, and a research study on the e-commerce applications in a selected company – the Thai-Lay Fashion.
Social Media Tools in E-Commerce Different social media are used as tools for effectively implementing e-commerce activities. Though these tools can be used for the better implementation of e-commerce, there are certain ethical issues involved.
E-Commerce: The Using of Credit Cards Despite all its advantages, electronic commerce still bears the dangers of fraud and is characterized by insecurity both for the buyer and for the seller.
An Insecure Open and an Overly Secure Environment in E-Commerce The essay compares an insecure open environment and an overly secure environment in e-commerce and defines their advantages and disadvantages.
Curve Distribution Company and E-Commerce In the wake of e-commerce becoming popular, Curve Distribution has to make a significant decision about serving the new market.
Bean-Coin: Currency and Commerce The suggested currency is called “Bean-coin” and it is a currency for vegan website activity. It is backed by the commodity such as ready meals sold by the website.
E-Commerce Business Startup: Things to Know The paper identifies five primary factors to consider before starting an e-commerce business and provides a plan for the future project.
Committee of Energy and Commerce’s Role in Healthcare Health care in the US is currently in crisis and soar the need for sustainable reform. One of the barriers on the way to meaningful changes is political polarization.
E-Commerce Business Failure in D. Crenna’s Article In his article “Learning from failure,” Daniel Crenna speaks about his own experience of trying to create Lunarbits, which had to be a platform for digital goods selling.
Databases, E-Commerce, Social Media at the Workplace This paper discusses databases in the work environment, types of e-commerce, social networking in the workplace, and defines database vendors in the marketplace.
Azzaz Company’s Expansion and E-Commerce Issues Azzaz is willing to expand and enter the e-commerce market. With the help of the recent acquisition of PhoneBits, it receives an opportunity to reach its resources and customers.
The Commerce Chamber of Alamogordo: Audience Assessment The model under consideration is the local commerce chamber of Alamogordo that is responsible at the local level of engaging the business community locally.
DeKalb Chamber of Commerce: Audience Analysis As the case of DeKalb’s Chamber shows, attracting new supporters with the help of modern media only serves as the tool for improving the organization promotion model.
Seven-Eleven Japan Company: E-Commerce Website Seven-Eleven Japan is an organization that successfully operates since the previous century but suffered from global economic issues.
AOL Company’s Electronic Commerce Decisions AOL has made the first step towards e-commerce. The company provides a useful service to its clients. The customers get the summary of their bills.
Foreign Direct Investment and Innovation in China’s E-Commerce Sector
Corporate Responsibility Standards: Current Implications and Future Possibilities for Peace Through Commerce
Contemporary Commerce and Trademarks’ Legal Role
Consumers’ Attitudes Toward Mobile-Commerce: A Model to Capture the Cultural and Environment Influences
How Zara Uses Its Marketing and E-Commerce to Spread Its Brand
Understanding the Technologies Required for E-Commerce
Reputation, Location, and Prices in Chinese Electronic Commerce Markets
Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce
Differences Between Manufacturing Operations and Service Operations Commerce
What Impact Will E-Commerce Have On the U.S. Economy
Whether Organisations Should Invest Resources on Managing Diversity Commerce
Consumer Price Search and Platform Design in Internet Commerce
Leadership and Change Management at General Motors Commerce
Development and Future Perspective of Electronic Commerce
The Egyptian E-signature Law and Its Effects on E-Commerce in Egypt
The History and Impact of E-Commerce in the Business World
Problems Facing E-tailers When They Choose to Enter the Market of E-Commerce
Trust and Reputation Building in E-Commerce
Internet Taxation and the Expansion of E-Commerce
Theoretical and Conceptual Framework of Airlines Commerce
The Economic and Social Impact of Electronic Commerce Preliminary
Unleashing E-Commerce for South Asian Integration
Commerce Planning and Internet Security
The Problem Statement for Successful Entrepreneurship Commerce
Customer Relationship Management and Its Relation to E-Commerce
Investigating Privacy and Information Disclosure Behavior in Social Electronic Commerce
E-Commerce and the Market Structure of Retail Industries
Unofficial Trade When States Are Weak: The Case of Cross-Border Commerce in the Horn of Africa
Trusts and Equitable Relationships in Utility to Commerce
Databases and the Web for an Integrated E-Commerce
The Strategic Challenges Facing the Firm Commerce
The Relationship Between Business and the Consumer in the E-Commerce Generation
Digital Marketing for E-Commerce and Social Media
Why Has New York by the Mid 19th Century Become America’s ‘Capital of Commerce’
The Benefits and Effects of Incorporating E-Commerce Solution to an Existing Business
What Drives Price Dispersion in the European E-Commerce Industry?
Amazon vs. Walmart: Which Giant Will Dominate E-Commerce
Mobile-Commerce and Consumers’ Online Purchase Orientation in Poland, Croatia, and Serbia
Commerce International Des Produits Agroalimentaires: Le Role Des Entreprises Commerciales D’Etat
The Last Frontier: The Integration of Banking and Commerce in the U.S
What Are the Advantages and Disadvantages of E-Commerce
The Relationship Between Entrepreneurship and Innovation Commerce
E-Business and Influenced Global E-Commerce
The Mobile-Commerce Technologies: Generations, Standards, and Protocols
What Impact Does Globalization Have On E-Commerce
The Legal and Ethical Issues in the Internet and E-Commerce
Olympus Strategic Management Research Commerce
The Market for E-Commerce Services in Agriculture
Using Social Network Classifiers for Predicting E-Commerce Adoption
What Are the Risks of Committing E-Commerce Systems
The Genesis and Advancement in Online-Commerce in the Modern Business World
Why the Industrial Revolution Was British: Commerce, Induced Invention, and the Scientific Revolution?
The Broader Term E-business and the Narrower Term E-Commerce
Consumer-Centric E-Commerce Business Models in India
How Has Internet Marketing Come Into Play With the Success of an E-Commerce?
E-Commerce and Its Benefits to Consumers
Difficulties and Barriers When Applying E-Commerce in Vietnam
Marketing Channels for E-Commerce in Emerging Markets
Small Business, Non-profit Organizations, and E-Commerce
The Electronic Commerce Contribution to the Global Economy and Productivity
How Did Trade and Commerce Contribute to the Development of the British Empire 1680
E-Commerce and the Regulation of Financial Services
Virtual Contracts and International Trade In E-Commerce
How the Newspaper and Music Industry Has Changed Because of E-Commerce?
E-Commerce and the Changes It Brought to the Market
The Triggering Factors Influencing Individual Entrepreneurs Commerce
E-Commerce Challenges the Traditional Business Practices
The Strategic Policy and Practices in Organisations Commerce
Social Commerce: The Transfer of Power From Sellers to Buyers
The Internet and E-Commerce Development in Mexico
Women, Medieval Commerce, and the Education Gender Gap
Mobile Phones and the Third Wave of Electronic Commerce
Why Creativity and Innovation Are Important to Company Commerce?
Security and Payment Issues Faced by E-Commerce Business
Can Multimarket Competition Theory Explain Why Manufacturers Are Reluctant to Adopt E-Commerce?
How Does Internet Commerce Simplify the World of E-business?
Does E-Commerce Help Agricultural Markets?
Why Do Banks Need Commerce Powers?
How Did Apple Use E-Commerce to Change the World?
Does E-Commerce Increase Employment in Japan?
Has Commerce Helped Put Jazz Out of Business in Today’s World?
Can Perfect Competition Be Achieved by Electronic Commerce?
How Can Information Systems Influence Commerce?
Does Congress Have Too Much Power Over Commerce?
How Does E-Commerce Help Business Entities Achieve Operational Excellence?
Does E-Commerce Perpetuate Unregulated Buying?
How Does E-Commerce Work?
Does Identification Influence Continuous E-Commerce Consumption?
How Does E-Commerce Affect Business Transactions?
What Is Driving the Development of E-Commerce in Rural China?
Does ‘Grease Money’ Speed Up the Wheels of Commerce?
How Have E-Commerce Capabilities Affected International Business?
What Was the Commerce and Slave Trade Compromise?
How Does HTML Design Influence E-Commerce?
Why Are Some Companies More Successful Than Others in Commerce?
How Has E-Commerce Become Vital to World Economics?
What Are the Biggest Barriers to E-Commerce?
How Do E-Commerce Companies Interact, Attract, and Retain?
Does Social Interaction Affect Purchase Intention in Social Commerce?
How Does Poor Intercultural Communication Affect International Commerce and Foreign Policy?

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Business Management Research Paper Topics

This page provides a comprehensive guide on business management research paper topics , designed to assist students in selecting areas that align with their interests and academic goals. The content is organized into several sections, offering an extensive list of topics divided into ten major categories, practical tips on choosing and writing on these topics, and information about iResearchNet’s customized writing services. The material aims to not only inspire and educate students but also support them in their academic journey, making the process of writing a research paper in business management more accessible and engaging. Whether you are new to the field or looking to explore new areas, this resource serves as a valuable starting point.

100 Business Management Research Paper Topics

Business management is a multifaceted field that touches various aspects of organizational functionality, leadership strategies, innovation, ethics, human resources, and much more. Here, we present a comprehensive list of business management research paper topics, categorized into ten distinct sections. These categories span the width and breadth of the field, giving students a wide range of topics to choose from.

Academic Writing, Editing, Proofreading, And Problem Solving Services

Get 10% off with 24start discount code, leadership and management.

The Role of Transformational Leadership in Organizational Success
Ethical Leadership and Corporate Social Responsibility
Cross-Cultural Management: Leading Global Teams
Women in Leadership: Challenges and Opportunities
The Impact of Autocratic Management on Employee Satisfaction
Emotional Intelligence in Leadership
Leadership Styles and Organizational Culture
Innovations in Management Practices
The Relationship between Leadership and Motivation
Agile Leadership: Adapting to Rapid Changes in Business

Human Resources Management

Employee Retention Strategies in Competitive Markets
The Role of HR in Diversity and Inclusion
Talent Acquisition and Talent Management Strategies
The Impact of Remote Work on Human Resources Practices
Performance Appraisal Systems and Their Effectiveness
Employee Wellness Programs and Their Impact on Productivity
HR Analytics: Using Data to Drive Decision-making
Labor Relations and Conflict Resolution
Organizational Learning and Development
Ethics in Human Resources Management

Strategic Management

Competitive Advantage through Strategic Planning
SWOT Analysis and Its Role in Business Strategy
Mergers and Acquisitions: Strategies and Challenges
Corporate Governance and Business Performance
Strategic Management in Family-owned Businesses
Sustainable Business Strategies
The Role of Innovation in Strategic Management
Risk Management in Business Strategy
Strategic Alliances and Business Growth
Strategy Implementation and Organizational Change

Marketing Management

Digital Marketing Trends and Their Impact on Business
Consumer Behavior and Market Segmentation
Social Media Marketing Strategies
Brand Management and Brand Loyalty
Pricing Strategies in Competitive Markets
Content Marketing and SEO Best Practices
Relationship Marketing and Customer Retention
Viral Marketing: Methods and Outcomes
Influencer Marketing in the Age of Social Media
Ethical Considerations in Marketing

Financial Management

Financial Planning and Budgeting in Businesses
Investment Strategies for Corporate Growth
Risk Management in Financial Decision Making
The Role of Financial Technology (FinTech) in Business
Financial Ethics and Regulations
Mergers, Acquisitions, and Financial Analysis
Cash Flow Management for Small Businesses
Corporate Finance and Capital Structure
International Financial Management
Impact of Economic Fluctuations on Financial Management

Operations Management

Supply Chain Management: Strategies and Challenges
Quality Control and Total Quality Management
Lean Manufacturing and Efficiency in Operations
Operations Strategy in E-commerce
Inventory Management Techniques
Process Improvement and Operational Excellence
The Role of Information Technology in Operations Management
Sustainability in Operations
Project Management Best Practices
Outsourcing and Global Operations

Innovation and Entrepreneurship

Start-up Culture and Innovation
Social Entrepreneurship and Sustainable Development
Innovation Management and Organizational Growth
The Entrepreneurial Mindset and Business Success
Venture Capital and Financing Start-ups
Women Entrepreneurs: Challenges and Opportunities
Franchising as a Business Model
Innovation in Product Development
Disruptive Technologies and Business Transformation
Creativity and Problem Solving in Entrepreneurship

Business Ethics and Social Responsibility

Corporate Social Responsibility (CSR) and Stakeholder Engagement
Ethical Dilemmas in Business Decision Making
Sustainability and Business Ethics
Transparency and Accountability in Business
Ethical Leadership and Organizational Culture
Business Ethics in Global Operations
Corporate Philanthropy and Community Engagement
Environmental Ethics in Business Practices
Compliance, Regulations, and Business Ethics
Social Impact of Business: Measuring and Reporting

International Business Management

Globalization and its Impact on Business Management
Cross-Border Mergers and Acquisitions
International Business Strategy and Cultural Considerations
Managing Multinational Corporations
International Trade Regulations and Compliance
Emerging Markets and Business Expansion
International Marketing Strategies
Global Supply Chain Management
Foreign Direct Investment Strategies
Leadership and Management in International Business

Technology Management

The Role of Artificial Intelligence in Business Management
Cybersecurity and Business Risk Management
Technology Adoption and Organizational Transformation
E-Business and Digital Transformation
Technology Management in Healthcare
Blockchain Technology in Business Operations
Innovation in Mobile Technologies for Business
Technology in Human Resources Management
Internet of Things (IoT) and Smart Businesses
Virtual Reality (VR) and Augmented Reality (AR) in Marketing

In conclusion, this comprehensive list of business management research paper topics offers students an expansive range of subjects to explore. These topics cater to various interests and can be further customized to align with specific research goals and academic requirements. Whether focusing on leadership, innovation, ethics, or technology, the options provided enable students to dive into meaningful inquiries that contribute to our understanding of the complex and dynamic field of business management.

Business Management and the Range of Research Paper Topics

Business management is an intricate and multifaceted discipline that encompasses various aspects of the modern corporate environment. It involves planning, organizing, directing, and controlling organizational resources to achieve specific goals. This vast field offers a plethora of research paper topics that span across leadership, strategy, marketing, human resources, technology, and more. In this article, we’ll explore the core areas of business management and the wide range of research topics they offer to students and scholars.

Leadership and management form the backbone of any successful organization. They involve setting visions, defining missions, developing strategies, and guiding the organization to achieve its objectives. Research in this area can focus on transformational leadership, ethical leadership, cross-cultural management, and various leadership styles. Investigating leadership theories and their practical application can shed light on how leaders influence organizational success and employee satisfaction.

Human resources management (HRM) plays a critical role in recruiting, training, motivating, and retaining employees. Research topics within HRM may include diversity and inclusion, talent management, performance appraisal systems, and employee wellness programs. The evolving nature of remote work has also opened new avenues for research in HR practices and its impact on organizational culture.

Strategic management involves the formulation and implementation of major goals and initiatives to ensure organizational growth and sustainability. Topics like competitive advantage, mergers and acquisitions, corporate governance, and risk management fall under this umbrella. Researching sustainable business strategies or innovation in strategic management can lead to valuable insights into long-term planning and decision-making.

Marketing management focuses on planning, executing, and monitoring marketing strategies. Research topics can cover digital marketing trends, consumer behavior, brand loyalty, pricing strategies, and ethical considerations in marketing. Investigating the effects of social media on marketing or exploring new methods of viral marketing can provide fresh perspectives on reaching modern audiences.

Financial management is vital for the financial health and stability of an organization. Research in this area may involve financial planning, investment strategies, risk management, financial technology, and corporate finance. Analyzing the effects of economic fluctuations or studying the role of FinTech in business can contribute to a deeper understanding of financial decisions and their consequences.

Operations management is concerned with designing, overseeing, and controlling production processes. Topics like supply chain management, quality control, lean manufacturing, and sustainability in operations are key areas of interest. Research in process improvement, project management best practices, or the role of IT in operations management can provide insights into efficiency and productivity.

Innovation and entrepreneurship are about fostering creativity, starting new ventures, and driving organizational growth. Research in this field can cover start-up culture, social entrepreneurship, venture capital, women entrepreneurs, and innovation in product development. Understanding disruptive technologies or exploring creativity in entrepreneurship can enrich the body of knowledge in business innovation.

Business ethics and social responsibility examine how organizations engage with stakeholders and the broader community. Topics include corporate social responsibility, ethical decision-making, transparency, and compliance. Research in this area can highlight the importance of ethics in global operations or explore the social impact of business practices.

International business management studies how organizations operate on a global scale. Research topics in this area may include globalization, cross-border mergers, international business strategy, and emerging markets. Investigating international marketing strategies or leadership in international business can offer unique insights into global commerce and cross-cultural interactions.

Technology management is an evolving field that integrates technology into business strategies. Research can explore artificial intelligence, cybersecurity, digital transformation, blockchain technology, and more. Investigating the role of technology in various business functions can lead to new ways of leveraging technology for growth and innovation.

Business management is a dynamic and complex field that intersects with various domains and specialties. The breadth of topics available for research reflects the multifaceted nature of the business world. Whether investigating leadership philosophies, diving into marketing strategies, exploring financial decision-making, or examining the ethical considerations of business practices, the field of business management offers a rich and varied landscape for intellectual inquiry.

For students looking to embark on a research paper, this wide array of topics provides opportunities to align academic interests with real-world applications. The continuous evolution of business practices, influenced by technological advancements, societal norms, global trends, and economic forces, ensures that business management will continue to be a fertile ground for research and exploration for years to come.

How to Choose Business Management Research Paper Topics

Choosing a topic for a research paper in business management can be a daunting task given the multifaceted nature of the field. Selecting the right topic is crucial as it lays the foundation for the entire research process. A well-chosen topic not only engages the reader but also aligns with the researcher’s interest, the study’s scope, and academic requirements. Here, we’ll explore some strategies and tips to help guide you through the process of choosing business management research paper topics that will resonate with your academic pursuits and curiosity.

Identify Your Area of Interest : Start by identifying the particular aspect of business management that intrigues you the most. Whether it’s human resources, marketing, finance, leadership, or any other area, focusing on your interest helps ensure that the research process will be engaging and rewarding.
Analyze the Relevance : Consider the relevance of the topic to current trends and issues in the business world. Researching a relevant and timely subject allows your work to contribute to contemporary discourse and can make it more appealing to readers.
Consider Academic and Practical Applications: Think about the academic significance and real-world applications of the chosen topic. It’s essential to align the topic with academic theories while also considering how it can apply to real-world business scenarios.
Evaluate the Scope: Evaluate the scope of the topic to ensure that it’s neither too broad nor too narrow. A well-defined scope helps in focusing the research, developing a coherent argument, and ensuring that the research is manageable within the given timeframe.
Check for Available Resources: Before finalizing a topic, ensure that there are enough resources and research materials available. Having access to relevant literature, data, and experts will facilitate a more thorough and credible research process.
Consult with a Mentor or Advisor: Consulting with a mentor, advisor, or faculty member can provide valuable insights and guidance in selecting the most suitable topic. They can offer expert advice based on your interests, academic requirements, and the field’s current trends.
Analyze Previous Research: Reviewing existing research in the desired field can highlight gaps in knowledge, emerging trends, and potential areas for further investigation. Analyzing previous works helps in building on existing knowledge and contributing something new to the field.
Consider Ethical Implications: It’s important to consider the ethical implications of the chosen research topic, especially if it involves human subjects, sensitive data, or controversial issues. Ensuring that the research adheres to ethical standards adds credibility to your work.
Align with Learning Objectives : Make sure that the chosen topic aligns with your course’s learning objectives and your personal academic goals. A topic that complements your academic trajectory can enhance your understanding of the field and contribute to your professional development.
Test the Topic : Before fully committing to a topic, consider writing a brief overview or outline to test if the topic resonates with your interests and if it can be explored in depth. This preliminary exercise can help in refining the topic and ensuring that it’s suitable for an extensive research paper.

Choosing the right business management research paper topic is a critical step that requires careful consideration and thoughtful planning. By following these tips, students can navigate the vast landscape of business management research and hone in on a topic that aligns with their interests, academic requirements, and the current trends in the field.

The chosen topic should not only reflect personal curiosity but also contribute to the broader understanding of business management. Engaging with mentors, analyzing existing research, considering practical applications, and evaluating the ethical and academic alignment of the topic will enable students to embark on a rewarding research journey that resonates with both academic scholars and business professionals.

How to Write a Business Management Research Paper

Writing a business management research paper involves meticulous planning, research, analysis, and composition. A well-crafted paper should reflect an in-depth understanding of business principles, theories, practices, and their application in the real world. In this section, we’ll guide you through the process of writing a compelling and insightful business management research paper, from the initial stages of planning to the final draft.

Understand the Assignment Requirements : Before you begin, carefully read and understand the assignment guidelines and requirements. Pay attention to the expected length, format, style, and deadlines. Knowing what’s expected ensures that you meet the specific criteria and avoid unnecessary revisions.
Start with a Strong Thesis Statement : Your thesis statement is the central argument or claim that you’ll be supporting throughout the paper. It should be clear, concise, and specific, guiding the reader on what to expect from your research.
Conduct Thorough Research : Invest time in conducting thorough research. Utilize academic databases, scholarly articles, textbooks, and reputable online sources. Ensure that your sources are credible, recent, and relevant to your topic.
Create a Detailed Outline : A well-structured outline helps in organizing your thoughts, arguments, and supporting evidence. Outline each section of your paper, including the introduction, methodology, analysis, conclusion, and bibliography.
Write the Introduction : The introduction sets the stage for your research, providing background information, context, and the rationale for your study. Clearly state the problem you are addressing, your research questions, and your thesis statement.
Develop the Methodology : In the methodology section, describe the research methods you used, such as surveys, interviews, or case studies. Explain why you chose these methods and how they helped you gather and analyze data.
Analyze and Discuss Your Findings : Present and analyze your findings in a logical and coherent manner. Use charts, graphs, or tables to illustrate key points. Discuss how your findings support or challenge existing theories, and provide insights into the implications for business management.
Craft a Thoughtful Conclusion : The conclusion should summarize the key findings, restate the thesis, and discuss the broader implications of your research. Highlight any limitations and suggest areas for future research.
Cite Your Sources Properly : Proper citation is essential for academic integrity. Use the required citation style (APA, MLA, Chicago/Turabian, Harvard) consistently throughout the paper. Create a comprehensive bibliography to list all the sources you’ve referenced.
Revise and Edit : Spend ample time revising and editing your paper. Check for clarity, coherence, grammatical errors, and stylistic issues. Consider seeking feedback from peers, tutors, or professional editors to ensure that your paper meets high standards.
Consider the Practical Implications : Discuss the practical implications of your findings, linking theoretical concepts with real-world business applications. Demonstrating how your research can be applied in a business context adds value to your paper.
Adhere to Ethical Standards : Ensure that your research complies with ethical standards, particularly if you’ve used human subjects or sensitive data. Obtain necessary permissions and be transparent about your research procedures.
Add an Executive Summary (if required) : An executive summary provides a concise overview of the entire paper and is particularly useful for papers intended for a business audience. It should highlight the main points, findings, and implications in a brief and accessible manner.

Writing a business management research paper requires careful planning, critical thinking, and meticulous execution. By following these tips, you can craft a paper that is coherent, insightful, and engaging.

Remember that a successful business management research paper not only adheres to academic standards but also resonates with professionals in the field. Invest time in understanding the topic, conducting robust research, articulating your arguments, and reflecting on the broader implications of your findings. With dedication, attention to detail, and a thoughtful approach, you’ll be well on your way to producing a research paper that stands out in both academic and business communities.

iResearchNet Writing Services

iResearchNet is proud to offer students and professionals a comprehensive suite of writing services tailored to business management research papers. Whether you’re seeking guidance on a specific topic, need assistance with the entire research process, or want a fully custom-written paper, our team of expert degree-holding writers is here to assist you. This section outlines the 13 standout features that make our services the best choice for your next business management research paper.

Expert Degree-Holding Writers : At iResearchNet, we boast a team of seasoned writers holding advanced degrees in business management and related fields. Their expertise ensures that your paper is not only well-written but also grounded in current theories, methodologies, and industry practices.
Custom Written Works : Our writing services are tailored to meet your specific needs. From selecting a topic to finalizing the bibliography, every aspect of the paper is customized to your preferences, guidelines, and academic requirements.
In-Depth Research : Thorough research is the backbone of a compelling research paper. Our writers have access to premium academic databases, scholarly journals, and industry reports, enabling them to provide well-researched, evidence-based arguments that support your thesis.
Custom Formatting : We understand the importance of formatting in academic writing. Our writers are proficient in various citation styles, including APA, MLA, Chicago/Turabian, and Harvard. Rest assured that your paper will be formatted accurately and consistently according to your instructions.
Top Quality : Quality is paramount at iResearchNet. Our quality assurance team carefully reviews each paper for clarity, coherence, originality, and adherence to guidelines. This rigorous process ensures that you receive a top-notch paper that exceeds your expectations.
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iResearchNet’s writing services for custom business management research papers combine expertise, quality, flexibility, and value to provide a seamless and rewarding experience. With a team of highly qualified writers, cutting-edge research resources, personalized support, and unwavering commitment to excellence, we are the preferred choice for students and professionals seeking top-tier writing assistance.

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Best 10 Commerce Project Ideas & Topics

Topic 1: Impact of Outsourcing Material Availability Decision-Making
Topic 2: Enhancing Employee Performance Through Monetary Incentives

Topic 3: Outsourcing Human Resource in Beverage and Food Firms

Topic 4: role of e-commerce in reducing operational cost, topic 5: reducing unemployment through a co-operative movement, topic 6: an analysis of the downside of co-operative thrift and credit society, topic 7: analysis of the role of insurance companies in driving growth of smes.

Topic 8: Implications of Globalization on National Security

Topic 9: Exploring the Significance of Commerce in Today’s World

Topic 10: the significance of e-commerce in emerging markets, topic 11: public sector bank’s future in the country, topic 12: impact of covid on indian economy.

Read the full article to know more about the project Ideas & Topics in detail.

Commerce is fundamental to the success of any business. To streamline trading operations and maintain profits, the industry must focus on commerce, which deals with a lot more than just selling and buying. As the world is digitizing, eCommerce solutions are increasingly becoming common. The advent of machine learning and AI has further enhanced the effectiveness of eCommerce. While the world is moving fast, it is important to upskill ourselves to get the edge over the competitors. upGrad offers some of the best free courses for working professionals to compete in the market.

Why is Commerce important?

With the global economy projected to achieve the US$100 trillion milestone in 2022, it is not surprising that commerce has established itself as a vital stream. So, whether you are deciding on your 6th sem project topics , writing a dissertation on online shopping project topics , or compiling a “ Project topics for commerce students” pdf , you will have to consider the role of commerce in the real world.

As a society, most of our activities revolve around buying and selling goods and services. At some level, we are all economic actors. Right at this very moment, you must be reading this article on a gadget you bought from a retailer. It’s next to impossible to not depend on the market for our needs today.

In fact, as a Commerce graduate, you will have to depend on the market as a salaried employee, a business owner, or an entrepreneur. You will have to sell your services or products to buy other services and products. In some capacity, commerce will become a part of your life.

The business of buying and selling is at the heart of commerce. As a student of commerce, this view of commerce would be an over-simplification. If you were to browse articles related to commerce stream or look up commerce topics for presentation , you would come across a diversity of topics. The discipline covers a multitude of subjects beyond just buying and selling activities, such as accounting, labor relations, supply chain management, and financial markets.

Whether you are taking a micro or macro-view, trade and commerce play a role in our everyday lives as members of a household, community, nation, or the world. You might pick up a newspaper article telling you about global inflation- there is commerce involved.

Further, with globalization and the advancement of technology, world commerce has transformed. And commerce as a discipline has had to evolve with these shifts and will continue to do so. For example, online shopping project topics exploring the role of digital technology and the impact of globalization on economies is one of the more popular commerce topics for presentation .

As it directly or indirectly impacts a large section of the world population, e-commerce is a notable topic of discussion amongst graduate and post-graduate students of commerce. Working on projects to find solutions to trade-related issues, and explore operational challenges, among others is an important part of their curriculum.

Given the vast pool of trending commerce project ideas, it may be difficult to choose a topic for your project. Commerce encompasses various business domains, with trade and selling being the pertinent ones. You require deep analysis and understanding to pick a topic that serves your interests and career goals. If analytics is your forte, and if you want to hone your skills, consider pursuing our business analytics certificate designed specifically for analytics aspirants.

In this article, we have compiled a list of interesting and innovative commerce project ideas to help you with your project. Irrespective of the topic you choose for your final project, you stand to gain immense knowledge and expertise to leverage exciting career opportunities.

How to Choose a Good Project Topic for the Commerce Project For Final Year Students?

Choosing a topic for your m.com final year project topics is a crucial decision that requires careful consideration and no doubt guidance. The right topic can make your project engaging, insightful, and valuable. So, keeping the above points in mind, here are some points to help you select a Trending project topics for commerce students for your project: –

Interest and Passion

Always choose that topic in which you have great interest. The reason being when you have interest in the subject, you will give your 100% making it more enjoyable and likely resulting in a better outcome.

Relevance to Commerce

Ensure that the topic is directly related to commerce. It could be a current trend, an emerging issue, or a classic concept you want to explore in depth.

Narrow and Focused

A broad topic can be overwhelming and challenging to cover in depth. So, narrow down your focus to a specific aspect or sub-topic within commerce. For example, instead of “Global E-Commerce Trends,” you could focus on “The Impact of Social Media on Online Retail Sales.”

Originality and Uniqueness

While some topics are popular and well-studied, try to bring a unique perspective or angle to your chosen topic. Look for gaps in existing research or areas that haven’t been explored extensively.

Feasibility

Consider the availability of resources, data, and information related to your chosen topic. Ensure you can access enough credible sources to support your research and analysis.

Practical Application

Choose a topic that has real-world relevance and application. Consider how your findings could be applied in business settings or how they might address a practical issue.

Current and Emerging Trends

Topics related to current trends, technological advancements, or emerging practices in commerce tend to capture attention. They showcase your ability to stay updated with the industry.

Looking to leverage your commerce background? Dive into the wide range of career options for commerce students and unlock the door to numerous opportunities that await you in the business world.

Alignment with Learning Objectives

Review your course or program objectives. Your project should align with the key concepts you’ve learned and demonstrate your understanding.

Market Analysis

If applicable, conduct a preliminary market analysis to identify areas of commerce that require more attention or improvement. Addressing these gaps could lead to an impactful project.

Consultation with Faculty/Advisors

Discuss your ideas with your faculty members or project advisors. They can provide valuable insights, suggest modifications, and guide you toward a more refined topic.

Feasibility of Data Collection

If your project involves data collection, consider the ease of gathering data. Complex data collection processes might require more time and resources.

Ethical Considerations

Ensure that your chosen topic doesn’t raise ethical concerns. Commerce projects might involve sensitive data or controversial issues, so it’s important to approach them with ethical integrity.

Cross-Disciplinary Approach

Explore topics that intersect with other disciplines like economics, psychology, or technology. This can add depth and uniqueness to your project.

Scalability

While your project might be limited in scope, consider whether the topic has the potential for broader applications or research beyond your project.

Audience Appeal

Think about your target audience. Will your project be interesting and informative to your peers, instructors, and potentially even professionals in the field?

Personal and Professional Growth

Choose a project topics for commerce that fulfills academic requirements and contributes to personal and professional growth. Acquiring in-depth knowledge about a relevant topic can be valuable in your future career.

Remember that the process of selecting a project topic is iterative. You might need to refine and narrow your ideas as you gather more information and feedback. Take your time, conduct thorough research, and select a topic that aligns with your interests, skills, and academic objectives.

Curious about the most lucrative career paths in commerce? Explore our detailed guide on the highest paid jobs in India in commerce , and aim for a prosperous future in the business world.

So let’s get started with the list of trending project topics for commerce students

Best Commerce Projects & Ideas For College Students & Beginners

In any field, the end consumers are given top priority. Their choices, preferences, and demands are factors that form the basis of marketing strategies and manufacturing operations. It is evident that we are dependent on commerce to ensure this chain of processes runs smoothly.

If you are wondering what kind of commerce projects could bring you closer to your goals, here is a thought-out list of 8 projects that will not just familiarize you with the existing problems in commerce but also provide solutions. Furthermore, they will be a glowing addition to your resume and increase your chances of success in this all-encompassing field of commerce. To increase your resume weightage, doing a business-related course would be beneficial. For example, our business analytics certificate has 100+ hours of learning with case studies and live sessions aids you positive career growth.

Topic 1: Impact of Outsourcing Material Availability Decision-Making

Objective : To determine the criteria used while deciding to outsource material availability along with strategizing the outsourcing process.

Outsourcing is a beneficial practice but at the same time, it poses a variety of challenges. Every industry seeks low labour cost, however, numerous other aspects require attention when outsourcing.

Although outsourcing is done at various levels, if you have a clear set of goals and strategies, more often than not, it will prove to be advantageous. It is important to understand that the performance of a company and its outsourced aspects do not have a connection because it does not impact the material availability directly.

Usually, two challenges are seen: the first one being, the time challenge, where the production process is slowed down due to unavailability of material and the second, more pressing financial challenge. Through this project, you can find solutions to both challenges.

Impacts of outsourcing-

Affects delivery time
Product quality
Employee productivity

Benefits of outsourcing-

Flexible staffing arrangement
Better risk management
Gain customer satisfaction
Increased efficiency
Reduces labour cost
Cost cutting
Improves quality
Helps in relieving workload

Also read, Career options in science after graduation

Topic 2: Monetary Policy – Enhancing Employee Performance Through Monetary Incentives

Objective : To perceive the relationship between monetary incentive and employee performance.

It is observed that bonuses ate fixed according to the employee’s performance, however, hard work being intangible is not considered. Therefore, it can be deduced that monetary incentives are independent of the performance, since the bonus and allowances are fixed according to a specific performance parameter. Moreover, the failure of a company’s promise to release the bonus on time also leads to dissatisfaction and demotivation among its employees.

On the other hand, companies can attain their target by quoting the performance bonus in advance, thereby, stimulating employees to perform more efficiently and proactively. This project will help you comprehend how effective monetary incentives are imperative to employee satisfaction and alleviating the attrition rate in the company.

Why are monetary incentives necessary?

Rewards employees
Profit sharing, partnerships, ESOPS, etc., increases the ownership attitude
Helps in acquiring quality talent
Controls attrition
Increases employee satisfaction
Increases employee engagement
Improves organisation’s performance

Types of monetary incentives-

Commissions
Added allowances payment
Wage incentives
Referral benefits
Profit sharing

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Objective : To evaluate how e-commerce aids the reduction of functional costs by making a comparative analysis.

This project emphasizes the benefits of eCommerce in today’s world. It is clear from the recent pandemic as well that electronic transactions have grown exponentially. An organization that will operate through a physical office will have significant costs to bear as compared to organizations that can function remotely.

These costs include logistics, administration, salesperson salary, the lease on storefront, electricity, telephone, heating/cooling, taxes, displays, repairs and maintenance of the building. On the contrary, for a virtual office, the entailing costs include web hosting charges, shopping cart software, and distribution rates.

This accounts for much less than the expense involved with physical offices. Both functional and operational costs are affected by eCommerce. Furthermore, e-commerce also has many other unmatched benefits when compared with offline commerce methods.

Benefits of reduced cost in e-commerce:

Self-regulating
Increased revenue
Utilisation of revenue into product development
Creates a competitive advantage

Ways to reduce cost in e-commerce:

Supplier tie-ups
Reduce returns
Marketing budget
Inventory management
Shipping methods optimization

Objective : To establish a co-operative movement in a working society and analyze its benefits on society members. It also evaluates various aspects of the co-operative movement that provide support to team members.

This project helps us gain an understanding of the benefits of a co-operative movement in reducing unemployment. The analysis concludes that co-operative movements support employees and their well-being in terms of education and growth, thus, every organization must adopt one.

It is recommended that since a co-operative movement encourages and supports existing employees to study further and take up training to scale their skill sets, it must be made compulsory for every establishment. To facilitate the set up of the cooperatives, the project recommends aiding organisations financially in the form of loans from the co-operative banks. Consequently, establishing co-operative banks is also deemed significantly beneficial.

Also Read: Top 10 Highest Paying Jobs in Commerce Field

Objective : To shine a light on the futility of establishing a co-operative and credit society.

This kind of society is set up in organizations to help employees save a certain percentage of their salaries. These savings will support them after their retirement and can be used as an investment. However, it is noticed that such a society does not form a consensus as the goals are not attained. With a disparity in the financials and personal contexts, this society has not been able to satisfy its members.

This is due to poor inspection, and the irresponsible attitudes of authoritative people that have marred the interests of its members. Another important aspect that this project highlight is that when members take a loan from a credit society, they are often not in a position to return it, indicating a loss of money. The bad debts increase and the vested member’s interest is exploited unfairly.

Types of unemployment-

Demand deficient
Geographical

Benefits of Reducing Unemployment Through a Co-Operative Movement-

Enhanced social, economic and cultural aspects of the society
Provides social services such as education, housing, health, etc.
Increase wealth
Better living conditions
Higher satisfaction
Society progression
Improved economy

Checkout: Career Options for Commerce Students

Objective : To understand the relationship between SMEs and insurance companies. The project also aims to understand how insurance companies contribute to the growth of SMEs. This involves studying factors that are responsible for growth and failure alike. One major aspect that this project covers is the reason that SMEs do not get their businesses insured.

This project highlights what SMEs are and how l insurance companies can prevent them from being shut down. SMEs are small and medium scale enterprises with about 5 to 10 employees in a small SME and a maximum of 50 to 100 employees in a medium-scale enterprise.

SMEs are vital for the growth of the economy as they are independent and can generate effective revenue, contributing to the country’s GDP. It is recommended that these SMEs must get business insurance. However, with the lack of awareness of insurance of businesses, most small to medium enterprises fail to function beyond two years.

The lack of sustenance due to a blend of financial difficulties and departmental challenges is the cause of the shutdown. Therefore, insurance can step this up. If the employees feel secure, they will be motivated to work irrespective of the un-segregated organizational structure of the SMEs. The resolution for running SMEs for the long term is insurance.

Benefits of Insurance Companies in Driving Growth of SMEs-

Financial security to the employees
Higher employee satisfaction
Lower attrition
Financial stability
Improved organisation growth
Increase loyalty
Help in acquiring qualified candidates

Topic 8: Implications of Globalization on National Security

Objective : To examine the frequency of transnational threats and the method by which the security is breached. Furthermore, it highlights the effects of globalisation on increased national security.

A deep analysis of this project highlights two aspects of globalization. Firstly, where there is an increased threat due to breach of security, a significant increase in business is noticed. The to and fro of trade and ease of communication, facilitated by transportation are anticipated as threats to National Security.

At the same time, this has also elevated the business to a large extent. It causes businesses to amp their security measures and streamline their services. When the pros and cons are weighed, globalization has proved to be beneficial for most sectors.

It has also brought an upsurge in the National Income of many underdeveloped countries. Secondly, globalization has also brought about a lot of awareness, stimulating consumers to buy needful products. The positive impacts on the national income of a country have significantly increased.

Impacts of globalisation on national security-

Integration of markets
Trade measures
Access to new cultures
Potential of new threats
Access to new talent
Manage employee integration

Objective: To understand the various benefits of commerce.

The project highlights the following aspects:

Helps accomplish human wants : Commerce has facilitated trade between states, and across the borders. In turn, human wants are fulfilled because of this movement of goods. This also contributes to social welfare. The distribution of products through e-commerce has further enabled many small businesses to survive.
Enhances the standard of living : The increased flow of money has also increased consumerism. It encourages and financially supports people to make required purchases, subsequently, increasing the standard of living. Also, the pliability of a product’s delivery to diverse locations m, as well as flexibility of ordering from any location has facilitated streamlined services, further, enhancing consumerism and elevating the standard of living.
Empowering consumers and producers: If manufacturing continues to produce, but ceases to sell, the economy of a country is bound to plummet. It is due to commerce that trade persists. The chain of retailers, and wholesalers who purchase the products from manufacturers and market them appropriately, facilitates the movement of goods. The absence of these channels will stagnate the market. In addition to this, digital platforms have made e-commerce the most convenient link between consumers and producers.
Providing employment opportunities: Commerce is the harbinger of growth in manufacturing, warehousing, transporting, banking, advertising and so on. To ensure the efficiency of these operations, we need human resources. Commerce proffers employment to skilled and unskilled labour, along with numerous white-collar professionals.
Enabling income generation for a country on the whole : When trade increases, production and consumption follows. This creates work opportunities for the citizens of a country. This in turn impacts the national Income of a country. The average gross income of citizens contributes to the development of a country.
Driving growth in auxiliary sectors : Commerce leads to increased growth in auxiliary sectors such as banking, insurance, publicity, marketing, and advertising, among others.
Driving industrial development: One of the major outcomes of the commerce sector is the development of industries. Commerce aids in streamlining the division of labour, as well as providing raw materials to the industries. A meticulous division of every sector in the industry leads to its growth and development.
Driving international trade : The emergence of e-commerce has allowed businesses to think beyond the periphery of their country. This has facilitated streamlined trade between countries. Besides, commerce has opened doors for the exchange of commodities, and surplus produces of the country. Better transport and communication systems have resulted in increased international trade, which again is a result of commerce.
Benefitting underdeveloped countries : Commerce has created avenues for underdeveloped countries to export surplus raw material to other countries. This process has enhanced trade and the flow of money into underdeveloped countries.
Supporting exigencies : Whatever trade and exchange of food, medicines, relief packets, etc, is done, is highly dependent on the smooth functioning of the supply chain and commerce industry. During exigencies like earthquakes, floods, and other natural calamities, commerce proves its worth.

Impacts of commerce-

Impact productivity
Affect inflation
Reach market potential
Increases R&D of the country
Better talent management
Gives competitive advantage
Cost management
Impact culture and lifestyle

Objective : To explore the benefits of e-commerce, upcoming trends, and provide solutions to existing challenges.

Needless to mention, the significance of the internet and its usage in today’s world is skyrocketing. The increasing usage of mobile devices has enabled customers to purchase anything from anywhere. Evidently, the future of commerce is headed online. As e-commerce is replacing other traditional commerce models to provide seamless services and consumer experience, there has been a significant reduction in operational costs. If customers are willing to bear the shipping and other costs, even cross-border shopping is possible through e-commerce.

This platform allows users to conduct a comparative analysis and purchase an item at the best available price. This doesn’t just inculcate awareness and transparency but also inculcates a sense of achievement among the consumers when they save a penny. The clarity in communication between portals and customers further streamlines the process.

Apart from the listed benefits, it also involves some threats. These threats usually involve a breach of customer trust and a volatile economy. The failure of e-commerce business is rare, but not absent. It also reflects on the reliability of a platform when cross-border trading is undertaken. Prioritizing customer satisfaction is the key to the success of an eCommerce business.

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Upcoming trends in eCommerce will pave the path for successful business ventures and economic development. As more and ML more businesses adopt AI-driven technologies, augmented reality, and speech recognition techniques in enhancing customer experience, there will be a shift towards personalised solutions which is mostly possible thrift eCommerce. Ecommerce has an integral role to play in helping businesses enhance reach and scalability.

Benefits of E-Commerce

Affects buying behaviour
Enhance shopping experience
Access to a wider range of products
Benefits seller and customers
More employment opportunities
Cost reduction
Easy exchange and refund policy
Impacts economy

The public sector banks are a pivotal part of the economy. They help in mobilising the scattered and small savings of the people. Thus adding to the economic growth. They also play a role of credit intermediation, settlement of payments and netting.

Benefits of Public Sector Banks-

Pension after retirement
High-interest rate on deposits
Low- interest rates on loans
Job security
Accessibility to the rural areas
Multiple branches

The GDP shrank a lot during the Covid. The economy reached to its lowest. Every sector saw the impacts of Covid. The economy growth slowed down and its impacts are seen even today.

Some of the impacts are

Multiple layoffs
Losing of livelihood
Low revenue
Infrastructure damage
Resource reduction
Slow growth
Food shortage
Lack of basic amenities
Affordability

The students can take the approach of finding the causes behind the negative impacts of Covid on Indian Economy.

Checkout: Top Career Options After B.Com

What is the project topic for Bcom final year?

Some of the projects bcom final year students can do:

Financial Performance Analysis of a Company
Impact of Digital Marketing on Consumer Behavior
Study of Corporate Governance Practices
Analysis of Mutual Funds and Stock Market Trends
Consumer Perception of E-Banking Services

Additional Commerce Project Topics

How does advertising affect sales and conversions?
The effectiveness of online shopping.
The role of supply chain management in improving customer service.
AI implementation in e-commerce.
Green consumerism in the coming years.
The role of technologies in enhancing eCommerce.

SWOT Analysis of an MNC

SWOT is a innovative activities for commerce students which will serves as a powerful strategic tool for carefully examining and strategizing projects. Its implementation allows graduates to uncover fresh business prospects, boost revenue generation, and proactively address potential threats to an organization’s success.

By conducting a SWOT analysis, commerce project topics risks can be minimized, ensuring effortless execution of plans. In today’s digital age, multinational corporations often encounter challenges optimizing their online presence and maintaining top-notch cybersecurity. This makes a SWOT analysis a valuable asset for any research topics for commerce students or bcom project topics aiming to tackle these issues.

A Study of Joint Ventures

Two or more companies working together to share profits and losses, collaborate on business operations, and combine their resources for greater success culminate into a joint venture. As students, you can delve into this fascinating concept by focusing your commerce project topics report on prominent joint ventures such as Hero Honda, Sony Ericsson, and Motorola.

Your objective will be to compile a comprehensive report that is packed with data, including performance metrics, thorough analysis, market insights, and real-life case studies. By doing so, you will create a vivid representation of your research on joint ventures.

Job Opportunities from the Transportation Sector

This is one of the project topics for commerce students that delves into the pivotal role of the transportation sector in creating employment opportunities within the country. The commerce related topics explores the various modes of transit, including buses, cars, trains, metros, cable lines, and more. This project topics for commerce main focus is to gain insight into the functioning of different modes of transportation.

This e commerce project topics will also explore the employment benefits associated with the transportation industry, the challenges it faces, and the crucial essentials for transportation design and movement.

Additionally, the commerce related topics also sheds light on shipping methods such as canal, land, ocean, and overseas transport. It is clear that transportation infrastructure is not limited to merely connecting people and places. Instead, the industry serves as a catalyst for economic growth by generating employment opportunities.

The Power of Branding on Consumer Purchasing Behavior

Effective marketing strategies require a strong focus on branding due to its role in influencing consumer behavior. In fact, exploring the impact of branding on consumer behavior and their journey toward brand loyalty makes for a fascinating final-year project in commerce. This research topics for commerce students allows students to delve into how repeat purchases are influenced by branding tactics. However, the world of branding also presents the challenges of budget constraints and the need to stand out from the sea of competitors.

A Project on the Indian Railways Undertaking

With over 1.4 billion employees, the Indian Railways is a major public sector organization, and the department can offer several project topics for commerce students . Under the oversight of the Ministry of Railways and the Railway Board, the Railway Minister holds responsibility for all operations and interactions with the Indian Parliament. As a departmental undertaking of the Indian Government, the railways are subject to an annual budget set by the Government of India.

All expenses are closely monitored by the Ministry and subject to external audits. Conducting a project on this vast public transportation mode offers insights into the crucial role of government involvement in effectively running the railway ser vice in a country as vast as India.

A Project on Mumbai Dabbawalas

The bustling city of Mumbai has a longstanding love affair with Dabbawalas. These skilled professionals are the city’s go-to for homemade office lunches. Through this project, students will have the opportunity to gain a deeper understanding of how these Dabbawalas operate.

By participating in this project topics for commerce, students can develop essential skills such as team management, delivery efficiency, and business organization. They can also explore real-life case studies to enhance their learning experience.

Preparing a Report on Nationalized Banks

While looking for project topics for commerce students or project report topics preparing a report on a nationalized bank can be a great idea. The effectiveness and robustness of banking institutions have an influence on driving and shaping the economy. In the wake of India’s independence, the country established financial systems to promote the accessibility of banking services to the general public.

From standardizing currency practices to implementing global regulations on interest rates, the growth of India’s economy is closely intertwined with the operations of the Reserve Bank of India. This presents a fascinating avenue to explore for a simple project topics for b.com students , delving into the fundamentals of the Indian economy and providing comprehensive case studies and real-life examples to understand the intricacies of financial management and public/private sector banking.

Exploring Indian Exports

India thrives on the export of petroleum products, gems and jewelry, electronics, pharmaceutical drugs, and textiles. Through this project report topics, students can delve into the realm of export marketing and differentiate it from domestic sales. This comprehensive overview also sheds light on the driving forces behind Indian exporters and the multitude of hurdles they encounter, such as trade barriers, third-party competition, and foreign currency regulations.

Studying Different Distribution Channels

In the dynamic realm of sales and marketing, businesses can utilize the wholesale, retail, and direct-to-consumer distribution channels. Companies can reach consumers directly by leveraging cutting-edge e-commerce platforms, while retailers acquire products from manufacturers and then, in turn, sell them to customers. Additionally, retailers often partner with wholesalers who provide goods at competitive market rates.

This project topics for m.com students aims to examine the intricate connections between wholesalers, manufacturers, and retailers, exploring their distinct attributes and crucial functions. In today’s digital era, traditional business strategies have undergone a significant shift in terms of product promotion and profit generation.

Nonetheless, the fundamental principles of effective marketing remain unchanged. These include product excellence, pricing, advertising, distribution, packaging, target demographics, and personnel.

A Project on the Consumer Protection Act

Among various project topics for commerce students , working on the Consumer Protection Act can be quite interesting. The prime focus of this act in India is the welfare of consumers when making purchases of goods, products, and services.

With the rapid advancements in technology, the shopping landscape has significantly evolved in the nation. As a result, consumers now have higher expectations for top-notch products, immediate availability, and effective service.

By thoroughly evaluating this act, we can gain valuable insights into consumer perceptions and decision-making processes within the marketplace. Furthermore, the b.com 3rd year project topics report must also tackle various obstacles encountered by the logistics industry, inadequacies in product design, and unethical behaviors like hoarding and black marketing.

Additionally, it is important to mention how the government ensures the implementation of appropriate legal measures for the sales of goods and services. As a result, consumer protection measures encourage businesses to operate with honesty, efficiency, and transparency.

Project on the Dairy Industry

Let us take the example of Amul to conduct a commerce project on the dairy industry. Widely recognized as a top producer of milk, paneer, and dairy goods in India, Amul’s extensive reach and impact cannot be denied.

Let’s delve deeper into their success story by exploring their partnership with UNICEF and the ways in which they’ve been able to uplift farmers across the nation through their business model. The origins of Amul, its innovative marketing techniques, and its meticulous product sourcing strategies are all prime areas for investigation in understanding how the brand continues to deliver a fresh selection of goods to its devoted customers.

Amul’s remarkable success can be attributed to the strategic use of the seven “Ps” by its marketing professionals. By implementing a low-cost pricing strategy and ensuring its products offer great value for money, Amul has successfully established a widespread supply chain and distribution network throughout the country, maximizing the advantages of its production location. This serves as a great example for students on how to effectively select a sub-topic from a broader subject area.

Studying Different Advertising Media

In the ever-evolving world of business, turning a profit and building a strong reputation are the ultimate goals. In the realm of e-commerce, a multitude of advertising methods are being explored and tested by brands. Through extensive research, scholars have evaluated the success of diverse techniques, including augmented and virtual reality technology. One of the most interesting project topics for commerce students is discovering and analyzing various forms of advertising media.

Just as world commerce combines and impacts different aspects of life, so should your commerce topics for presentation . Whether you use this list of project ideas or other project topics for commerce students pdf to decide your publication subject or your 6th sem project topics , engage with the significance of commerce. As a commerce student, you can provide an analysis of the smallest denominator to significant world events that are not accessible to the layman.

With a country’s economic and cultural development hinging on commerce, it is one of the most sought-after fields today. As a skilled commerce professional, you can devise focused strategies to drive conversions and sales. You can also develop profitable relationships with manufacturers and enhance the customer experience. This also involves retailers and wholesalers, who directly deal with the consumers.

Therefore, professionals in commerce are required to up-skill themselves to gain a comprehensive understanding of how commerce deals with problems. This is possible through experience gleaned from solving real-life problems which can be sought from working on commerce projects. Commerce involves a lot of moving parts which demands that you possess strong leadership skills, communication skills, problem-solving abilities, strategizing skills, and analytical decision-making abilities.

The listed commerce project topics in this article will help you enhance your job-relevant skills which can serve as catalysts to landing your preferred job. When you select one of these topics, you are exercising the decision making skill, which is an efficacious commerce skill! So, we wish you the best of luck!

If you would like to learn more about commerce, we are here to help you at upGrad .

After completing your bachelor’s, you can pursue higher studies and get more specialized roles. As commerce with maths student, you can get an MBA in Finance to get lucrative positions in the finance sector. On the other hand, you can take a digital marketing course from MICA and become a marketing expert. It would allow you to pursue digital marketing careers.

To learn more about digital marketing courses and get hands-on experience, you can check out at upGrad.

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Artificial intelligence in E-Commerce: a bibliometric study and literature review

Research Paper
Published: 18 March 2022
Volume 32 , pages 297–338, ( 2022 )

Cite this article

Ransome Epie Bawack 1 ,
Samuel Fosso Wamba 2 ,
Kevin Daniel André Carillo 2 &
Shahriar Akter 3

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This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems (IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis with an extensive literature review was used. Bibliometric data from 4335 documents were analysed, and 229 articles published in leading IS journals were reviewed. The bibliometric analysis revealed that research on AI in e-commerce focuses primarily on recommender systems. Sentiment analysis, trust, personalisation, and optimisation were identified as the core research themes. It also places China-based institutions as leaders in this researcher area. Also, most research papers on AI in e-commerce were published in computer science, AI, business, and management outlets. The literature review reveals the main research topics, styles and themes that have been of interest to IS scholars. Proposals for future research are made based on these findings. This paper presents the first study that attempts to synthesise research on AI in e-commerce. For researchers, it contributes ideas to the way forward in this research area. To practitioners, it provides an organised source of information on how AI can support their e-commerce endeavours.

A survey on sentiment analysis methods, applications, and challenges

Literature reviews as independent studies: guidelines for academic practice

Artificial Intelligence and Business Value: a Literature Review

Avoid common mistakes on your manuscript.

Introduction

Electronic commerce (e-commerce) can be defined as activities or services related to buying and selling products or services over the internet (Holsapple & Singh, 2000 ; Kalakota & Whinston, 1997 ). Firms increasingly indulge in e-commerce because of customers' rising demand for online services and its ability to create a competitive advantage (Gielens & Steenkamp, 2019 ; Hamad et al., 2018 ; Tan et al., 2019 ). However, firms struggle with this e-business practice due to its integration with rapidly evolving, easily adopted, and highly affordable information technology (IT). This forces firms to constantly adapt their business models to changing customer needs (Gielens & Steenkamp, 2019 ; Klaus & Changchit, 2019 ; Tan et al., 2007 ). Artificial intelligence (AI) is the latest of such technologies. It is transforming e-commerce through its ability to “correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan & Haenlein, 2019 . p. 15). Depending on the context, AI could be a system, a tool, a technique, or an algorithm (Akter et al., 2021 ; Bawack et al., 2021 ; Benbya et al., 2021 ). It creates opportunities for firms to gain a competitive advantage by using big data to uniquely meet their customers' needs through personalised services (Deng et al., 2019 ; Kumar, Rajan, et al., 2019 ; Kumar, Venugopal, et al., 2019 ).

AI in e-commerce can be defined as using AI techniques, systems, tools, or algorithms to support activities related to buying and selling products or services over the internet. Research on AI in e-commerce has been going on for the past three decades. About 4000 academic research articles have been published on the topic across multiple disciplines, both at the consumer (de Bellis & Venkataramani Johar, 2020 ; Sohn & Kwon, 2020 ) and organisational levels (Campbell et al., 2020 ; Kietzmann et al., 2018 ; Vanneschi et al., 2018 ). However, knowledge on the topic has not been synthesised despite its rapid growth and dispersion. This lack of synthesis makes it difficult for researchers to determine how much the extant literature covers concepts of interest or addresses relevant research gaps. Synthesising research on AI in e-commerce is an essential condition for advancing knowledge by providing the background needed to describe, understand, or explain phenomena, to develop/test new theories, and to develop teaching orientations in this research area (Cram et al., 2020 ; Paré et al., 2015 ). Thus, this study aims to synthesise research on AI in e-commerce and propose directions for future research in the IS discipline. The innovative approach of combining bibliometric analysis with an extensive literature review is used to answer two specific research questions: (i) what is the current state of research on AI in e-commerce? (ii) what research should be done next on AI in e-commence in general, and within information systems (IS) research in particular?

This study's findings show that AI in e-commerce primarily focuses on recommender systems and the main research themes are sentiment analysis, optimisation, trust, and personalisation. This study makes timely contributions to ongoing debates on the connections between business strategy and the use of AI technologies (Borges et al., 2020 ; Dwivedi et al., 2019 , 2020 ). It also contributes to research on how firms can address challenges regarding the use of AI-related benefits and opportunities for new product or service developments and productivity improvements (Makridakis, 2017 ). Furthermore, no study currently synthesises AI in e-commerce research despite its rapid evolution in the last decade triggered by big data, advanced machine learning (ML) algorithms, and cloud computing. Using well-established e-commerce classification frameworks (Ngai & Wat, 2002 ; Wareham et al., 2005 ), this study classifies information systems (IS) literature on AI in e-commerce. These classifications make it easier for researchers and managers to identify relevant literature based on the topic area, research style, and research theme. A future research agenda is proposed based on the gaps revealed during the classification to guide researchers on making meaningful contributions to AI knowledge in e-commerce.

Research method

Bibliometric analysis.

Bibliometric analysis has been increasingly used in academic research in general and in IS research to evaluate the quality, impact, and influence of authors, journals, and institutions in a specific research area (Hassan & Loebbecke, 2017 ; Lowry et al., 2004 , 2013 ). It has also been used extensively to understand AI research on specific fields or topics (Hinojo-Lucena et al., 2019 ; Tran et al., 2019 ; Zhao, Dai, et al., 2020 ; Zhao, Lou, et al., 2020 ). In this study, a bibliometric analysis was conducted to understand research on AI in e-commerce using the approach Aria and Cuccurullo ( 2017 ) proposed. This methodology involves three main phases: data collection, data analysis, and data visualisation & reporting. The data collection phase involves querying, selecting, and exporting data from selected databases. This study's data sample was obtained by querying the Web of Science (WoS) core databases for publications from 1975 to 2020. This database was chosen over others like Google Scholar or Scopus because WoS provides better quality bibliometric information due to its lower rate of duplicate records (Aria et al., 2020 ) and greater coverage of high-impact journals (Aghaei Chadegani et al., 2013 ). The following search string was used to query the title, keywords, and abstracts of all documents in the WoS collection:

(‘‘Electronic Commerce’’ OR ‘‘Electronic business’’ OR ‘‘Internet Commerce’’ OR “e-business” OR “ebusiness” OR "e-commerce” OR “ecommerce” OR “online shopping” OR “online purchase” OR “internet shopping” OR “e-purchase” OR “online store” OR “electronic shopping”). AND (“Artificial intelligence” OR “Artificial neural network” OR “case-based reasoning” OR “cognitive computing” OR “cognitive science” OR “computer vision” OR “data mining” OR “data science” OR “deep learning” OR “expert system” OR “fuzzy linguistic modelling” OR “fuzzy logic” OR “genetic algorithm” OR “image recognition” OR “k-means” OR “knowledge-based system” OR “logic programming” OR “machine learning” OR “machine vision” OR “natural language processing” OR “neural network” OR “pattern recognition” OR “recommendation system” OR “recommender system” OR “semantic network” OR “speech recognition” OR “support vector machine” OR “SVM” OR “text mining”).

This search string led to 4414 documents that made up the initial dataset of this study. For quality reasons, only document types tagged as articles, reviews, and proceeding papers were selected for this study because they are most likely to have undergone a rigorous peer-review process before publication (Milian et al., 2019 ). Thus, editorial material, letters, news items, meeting abstracts, and retracted publications were removed from the dataset, leaving 4335 documents that made up the final dataset used for bibliometric analysis. Figure 1 summarises the data collection phase.

Summary of the data collection phase

Table 1 summarises the main information about the dataset regarding the timespan, document sources, document types, document contents, authors, and author collaborations. The dataset consists of documents from 2599 sources, published by 8663 authors and 84,474 references.

Bibliometrix Footnote 1 is the R package used to conduct bibliometric analysis (Aria & Cuccurullo, 2017 ). This package has been extensively used to conduct bibliometric studies published in top-tier journals. It incorporates the most renowned bibliometric tools for citation analysis (Esfahani et al., 2019 ; Fosso Wamba, 2020 ; Pourkhani et al., 2019 ). It was specifically used to analyse the sources, documents, conceptual, and intellectual structure of AI in e-commerce research. Publication sources and their source impacts were analysed based on their h-index quality factors (Hirsch, 2010 ). The most significant, impactful, prestigious, influential, and quality publication sources, affiliations, and countries regarding research on AI in e-commerce were identified. This contributed to the identification of the most relevant disciplines in this area of research. Documents were analysed using total citations to identify the most cited documents in the dataset. Through content analysis, the most relevant topics/concepts, AI technologies/techniques, research methods, and application domains were identified.

Furthermore, citation analysis and reference publication year spectroscopy (RPYS) were used to identify research contributions that form the foundations of research on AI in e-commerce (Marx et al., 2014 ; Rhaiem & Bornmann, 2018 ). These techniques were also used to identify the most significant changes in the research area. Co-word network analysis on author-provided keywords using the Louvain clustering algorithm was used to understand the research area's conceptual structure. This algorithm is a greedy optimisation method used to identify communities in large networks by comparing the density of links inside communities with links between communities (Blondel et al., 2008 ). This study used it to identify key research themes by analysing author-provided keywords. Co-citation network analysis using the Louvain clustering algorithm was also used to analyse publication sources through which journals communities were identified. It further contributed to identifying the most relevant disciplines in this research area by revealing journal clusters.

The bibliometric analysis results were reported from functionalist, normative, and interpretive perspectives (Hassan & Loebbecke, 2017 ). The functionalist perspective presents the results of the key concepts and topics investigated in this research area. The normative perspective focuses on the foundations and norms of the research area. The interpretive perspective emphasises the main themes that drive AI in e-commerce research.

Literature review

An extensive review and classification of IS literature on AI in e-commerce complemented the bibliometric analysis. It provides more details on how research in this area is conducted in the IS discipline. The review was delimited to the most impactful and influential management information systems (MIS) journals identified during the bibliometric analysis and completed by other well-established MIS journals known for their contributions to e-commerce research (Ngai & Wat, 2002 ; Wareham et al., 2005 ). Thus, 20 journals were selected for this review: Decision sciences, Decision support systems, Electronic commerce research and applications, Electronic markets, E-service journal, European journal of information systems, Information and management, Information sciences, Information systems research, International journal of electronic commerce, International journal of information management, Journal of information systems, Journal of information technology, Journal of management information systems, Journal of organisational computing and electronic commerce, Journal of strategic information systems, Journal of the association for information systems, Knowledge-based systems, Management science, MIS Quarterly .

The literature review was conducted in three stages (Templier & Paré, 2015 ; Webster & Watson, 2002 ): (i) identify and analyse all relevant articles from the targeted journals found in the bibliometric dataset (ii) use the keyword string to search for other relevant articles found on the official publication platforms of the targeted journals, and (iii) identify relevant articles from the references of the articles identified in stages one and two found within the target journals. All articles with content that did not focus on AI in e-commerce were eliminated. This process led to a final dataset of 229 research articles on AI in e-commerce. The articles were classified into three main categories: by topic area (Ngai & Wat, 2002 ), by research style (Wareham et al., 2005 ), and by research themes (from bibliometric analysis).

Classification by topic area involved classifying relevant literature into four broad categories: (i) applications, (ii) technological issues, (iii) support and implementation, and (iv) others. Applications refer to the specific domain in which the research was conducted (marketing, advertising, retailing…). Technological issues contain e-commerce research by AI technologies, systems, algorithms, or methodologies that support or enhance e-commerce applications. Support and Implementation include articles that discuss how AI supports public policy and corporate strategy. Others contain all other studies that do not fall into any of the above categories. It includes articles on foundational concepts, adoption, and usage. Classification by research style involved organizing the relevant literature by type of AI studied, the research approach, and the research method used in the studies. The research themes identified in the bibliometric analysis stage were used to classify the relevant IS literature by research theme.

Results of the bibliometric analysis

Scientific publications on AI in e-commerce began in 1991 with an annual publication growth rate of 10.45%. Figure 2 presents the number of publications per year. Observe the steady increase in the number of publications since 2013.

Number of publications on AI in e-commerce per year

Institutions in Asia, especially China, are leading this research area. The leading institution is Beijing University of Posts and Telecommunications, with 88 articles, followed by Hong Kong Polytechnic University with 84 articles. Table 2 presents the top 20 institutions publishing on AI in e-commerce.

As expected, China-based affiliations appear most frequently in publications (4261 times). They have over 2.5 times as many appearances as US-based affiliations (1481 times). Interestingly, publications with US-based affiliations attract more citations than those in China. Table 3 presents the number of times authors from a given country feature in publications and the corresponding total number of citations.

Functional perspective

Analysing the most globally cited documents Footnote 2 in the dataset (those with 100 citations) reveals that recommender systems are the main topic of interest in this research area (Appendix Table 10 ). Recommender systems are software agents that make recommendations for consumers by implicitly or explicitly evoking their interests or preferences (Bo et al., 2007 ). The topic has been investigated in many flavours, including hybrid recommender systems (Burke, 2002 ), personalised recommender systems (Cho et al., 2002 ), collaborative recommender systems (Lin et al., 2002 ) and social recommender systems (Li et al., 2013 ). The central concept of interest is personalisation, specifically leveraging recommender systems to offer more personalised product/service recommendations to customers using e-commerce platforms. Thus, designing recommender systems that surpass existing ones is the leading orientation of AI in e-commerce research. Researchers have mostly adopted experimental rather than theory-driven research designs to meet this overarching research objective. Research efforts focus more on improving the performance of recommendations using advanced AI algorithms than on understanding and modelling the interests and preferences of individual consumers. Nevertheless, the advanced AI algorithms developed are trained primarily using customer product reviews.

Interpretive perspective

Four themes characterise research on AI in e-commerce: sentiment analysis, trust & personalisation, optimisation, AI concepts, and related technologies. The keyword clusters that led to the identification of these themes are presented in Table 4 . The sentiment analysis theme represents the stream of research focused on interpreting and classifying emotions and opinions within text data in e-commerce using AI techniques like ML and natural language processing (NLP). The trust and personalisation theme represents research that focuses on establishing trust and making personalised recommendations for consumers in e-commerce using AI techniques like collaborative filtering, case-based reasoning, and clustering algorithms. The optimisation theme represents research that focuses on using AI algorithms like genetic algorithms to solve optimisation problems in e-commerce. Finally, the AI concepts and related technologies theme represent research that focuses on using different techniques and concepts used in the research area.

Normative perspective

Research on AI in e-commerce is published in two main journal subject areas: computer science & AI and business & management. This result confirms the multidisciplinary nature of this research area, which has both business and technical orientations. Table 5 presents the most active publication outlets in each subject area. The outlets listed in the table could help researchers from different disciplines to select the proper outlet for their research results. It could also help researchers identify the outlets wherein they are most likely to find relevant information for their research on AI in e-commerce.

However, some disciplines set the foundations and standards of research on AI in e-commerce through the impact of their contributions to its body of knowledge. Analysing document references shows that the most cited contributions come from journals in the IS, computer science, AI, management science, and operations research disciplines (Table 6 ). It shows the importance of these disciplines to AI's foundations and standards in e-commerce research and their major publication outlets.

The IS discipline is a significant contributor to AI in e-commerce research, given that 24 out of the 40 top publications in the area can be assimilated to IS sources. Table 7 also shows that 7 out of the top 10 most impactful publication sources are assimilated to the IS discipline. The leading paper from the IS field reviews approaches to automatic schema matching (Rahm & Bernstein, 2001 ) and it is the second most globally cited paper in the research area. Meanwhile, the leading paper from the MIS subfield reviews recommender system application developments (Lu et al., 2015 ).

Collaborative filtering, recommender systems, social information filtering, latent Dirichlet allocation, and matrix factoring techniques are the foundational topics in research on AI in e-commerce (Table 8 ). They were identified by analysing the most cited references in the dataset. These references were mostly literature reviews and documents that discussed the basic ideas and concepts behind specific technologies or techniques used in recommender systems.

Furthermore, the specific documents that set the foundations of research on AI in e-commerce and present the most significant historical contributions and turning points in the field were identified using RPYS (Appendix Table 11 ). 2001, 2005, 2007, 2011, and 2015 are the years with the highest number of documents referenced by the documents in the sample. The most cited studies published in 2001 focused on recommendation algorithms, especially item-based collaborative filtering, random forest, gradient boosting machine, and data mining. The main concept of interest was how to personalise product recommendations. In 2005, the most referenced documents focused on enhancing recommendation systems using hybrid collaborative filtering, advanced machine learning tools and techniques, and topic diversification. That year also contributed a solid foundation for research on trust in recommender systems. In 2007, significant contributions continued on enhanced collaborative filtering techniques for recommender systems. Meanwhile, Bo & Benbasat ( 2007 ) set the basis for research on recommender systems' characteristics, use, and impact, shifting from traditional studies focused on underlying algorithms towards a more consumer-centric approach. In 2011, major contributions were made to enhance recommender systems, like developing a new library for support vector machines (Chang & Lin, 2011 ) and the Scikit-learn package for machine learning in Python (Pedregosa et al., 2011 ). In 2015, the most critical contributions primarily focused on deep learning algorithms, especially with an essential contribution to using them in recommender systems (Wang et al., 2015 ).

Results of the literature review study

Classification by topic area.

Most articles on AI in e-commerce focus on technological issues (107 articles, 47%), followed by applications (87 articles, 38%), support and implementation (20 articles, 9%), then others (15 articles, 6%). Specifically, most articles focus on AI algorithms, models, and methodologies that support or improve e-commerce applications (76 articles, 33.2%) or emphasise the applications of AI in marketing, advertising, and sales-related issues (38 articles, 16.6%). Figure 3 presents the distribution of articles, while Appendix Table 12 presents the articles in each topic area.

Classification of MIS literature on AI in e-commerce by topic area

Classification by research style

Most authors discuss AI algorithms, models, computational approaches, or methodologies (168 articles, 73%). Specifically, current research focuses on how AI algorithms like ML, deep learning (DL), NLP, and related techniques could be used to model and understand phenomena in the e-commerce environment. It also focuses on studies that involve designing intelligent agent algorithms that support learning processes in e-commerce systems. Many studies also focus on AI as systems (31 articles, 14%), especially on recommender systems and expert systems that leverage AI algorithms in the back end. The “others” category harboured all articles that did not clearly refer to AI as either an algorithm or as a system (30 articles, 13%) (see Fig. 4 and Appendix Table 13 ).

Classification of MIS literature on AI in e-commerce by type of AI

Furthermore, most publications use the design science research approach (198 articles, 86%). Researchers prefer this approach because it allows them to develop their algorithms and models or improve existing ones, thereby creating a new IS artefact (see Fig. 5 and Appendix Table 14 ).

Classification of MIS literature on AI in e-commerce by research approach

Also, authors adopt experimental methods in their papers (157 articles, 69%), especially those who adopted a design science research approach. They mostly use experiments to test their algorithms or prove their concepts (see Fig. 6 and Appendix Table 15 ).

Classification of MIS literature on AI in e-commerce by research method

Classification by research theme

Based on the main research themes on AI in e-commerce identified during the bibliometric analysis, most authors published on optimisation (63 articles, 27%). They mostly focused on optimising recommender accuracy (25 articles), prediction accuracy (29 articles), and other optimisation aspects (9 articles) like storage optimisation. This trend was followed by publications on trust & personalisation (31 articles, 14%), wherein more articles were published on personalisation (17 articles) than on trust (14 articles). Twenty-nine articles focused on sentiment analysis (13%). The rest of the papers focus on AI design, tools and techniques (46 articles), decision support (30 articles), customer behaviour (13 articles), AI concepts (9 articles), and intelligent agents (8 articles) (see Fig. 7 and Appendix Table 16 ).

Classification of MIS literature on AI in e-commerce by current research themes

This study's overall objective was to synthesise research on AI in e-commerce and propose avenues for future research. Thus, it sought to answer two research questions: (i) what is the current state of research on AI in e-commerce? (ii) what research should be done next on AI in e-commerce in general and within IS research in particular? This section summarises the findings of the bibliometric analysis and literature review. It highlights some key insights from the results, starting with the leading role of China and the USA in this research area. This highlight is followed by discussions on the focus of current research on recommender systems, the extensive use of design science and experiments in this research area, and a limited focus on modelling consumer behaviour. This section also discusses the little research found on some research themes and the limited number of publications from some research areas. Implications for research and practice are discussed at the end of this section.

Need for more research from other countries

Research on AI in e-commerce has been rising steadily since 2013. Overall, these results indicate a growing interest in the applications of AI in e-commerce. China-based institutions lead this research area, although US-based affiliations attract more citations. Tables 2 and 3 indicate that China is in the leading position regarding research on AI in e-commerce. Observe that Amazon Inc. (USA), JD.com (China), Alibaba Group Holding Ltd. (China), Suning.com (China), Meituan (China), Wayfair (USA), eBay (USA), and Groupon (USA) are referenced among the largest e-commerce companies in the world (in terms of market capitalisation, revenue, and the number of employees). Footnote 3 These companies are primarily from China and the USA. These findings correlate with Table 3 , which could indicate that China and the USA are investing more in the research and development of AI applications in e-commerce (especially China, based on Table 2 ) because of the positions they occupy in the industry. This logic would imply that companies seeking to penetrate the e-commerce industry and remain competitive should also consider investing more in the research and development of AI applications in the area. The list of universities provided could become partner universities for countries with institutions that have less experience in the research area. Especially with the COVID-19 pandemic, e-commerce has become a global practice. Thus, other countries need to contribute more research on the realities of e-commerce in their respective contexts to develop more globally acceptable AI solutions in e-commerce practices. It is essential because different countries approach e-commerce differently. For example, although Amazon’s marketplace is well-developed in continents like Europe, Asia, and North America, it has difficulty penetrating Africa because the context is very different (culturally and infrastructurally). While mobile wallet payment systems are fully developed on the African continent, Amazon’s marketplace does not accommodate this payment method. Therefore, it would be impossible for many Africans to use Amazon’s Alexa to purchase products online. What does this mean for research on digital inclusion? Are there any other cross-cultural differences between countries that affect the adoption and use of AI in e-commerce? Are there any legal boundaries that affect the implementation and internationalisation of AI in e-commerce? Such questions highlight the need for more country-specific research on AI in e-commerce to ensure more inclusion.

Focus on recommender systems

AI in e-commerce research is essentially focused on recommender systems in the past years. The results indicate that in the last 20 years, AI in e-commerce research has primarily focused on using AI algorithms to enhance recommender systems. This trend is understandable because recommender systems have become an integral part of almost every e-commerce platform nowadays (Dokyun Lee & Hosanagar, 2021 ; Stöckli & Khobzi, 2021 ). As years go by, observe how novel AI algorithms have been proposed, the most recent being deep learning (Chaudhuri et al., 2021 ; Liu et al., 2020 ; Xiong et al., 2021 ; Zhang et al., 2021 ). Thus, researchers are increasingly interested in how advanced AI algorithms can enable recommender systems in e-commerce platforms to correctly interpret external data, learn from such data, and use those learnings to improve the quality of user recommendations through flexible adaptation. With the advent of AI-powered chatbots and voice assistants, firms increasingly include these technologies in their e-commerce platforms (Ngai et al., 2021 ). Thus, researchers are increasingly interested in conversational recommender systems (De Carolis et al., 2017 ; Jannach et al., 2021 ; Viswanathan et al., 2020 ). These systems can play the role of recommender systems and interact with the user through natural language (Iovine et al., 2020 ). Thus, conversational recommender systems is an up-and-coming research area for AI-powered recommender systems, especially given the ubiquitous presence of voice assistants in society today. Therefore, researchers may want to investigate how conversational recommender systems can be designed effectively and the factors that influence their adoption.

Limited research themes

The main research themes in AI in e-commerce are sentiment analysis, trust, personalisation, and optimisation. Researchers have focused on these themes to provide more personalised recommendations to recommendation system users. Personalising recommendations based on users’ sentiment and trust circle has been significantly researched. Extensive research has also been conducted on how to optimise the algorithmic performance of recommender systems. ML, DL, NLP are the leading AI algorithms and techniques currently researched in this area. The foundational topics for applying these algorithms include collaborative filtering, latent Dirichlet allocation, matrix factoring techniques, and social information filtering.

Current research shows how using AI for personalisation would enable firms to deliver high-quality customer experiences through precise personalisation based on real-time information (Huang & Rust, 2018 , 2020 ). It is highly effective in data-rich environments and can help firms to significantly improve customer satisfaction, acquisition, and retention rates, thereby ideal for service personalisation (Huang & Rust, 2018 ). AI could enable firms to personalise products based on preferences, personalise prices based on willingness to pay, personalise frontline interactions, and personalise promotional content in real-time (Huang & Rust, 2021 ).

Research also shows how AI could help firms optimise product prices by channel and customer (Huang & Rust, 2021 ; Huang & Rust, 2020 ) and develop accurate and personalised recommendations for customers. It is beneficial when the firm lacks initial data on customers that it can use to make recommendations (cold start problem) (Guan et al., 2019 ; Wang, Feng, et al., 2018 ; Wang, Jhou, et al., 2018 ; Wang, Li, et al., 2018 ; Wang, Lu, et al., 2018 ). It also gives firms the ability to automatically estimate optimal prices for their products/services and define dynamic pricing strategies that increase profits and revenue (Bauer & Jannach, 2018 ; Greenstein-Messica & Rokach, 2018 ). It also gives firms the ability to predict consumer behaviours like customer churn (Bose & Chen, 2009 ), preferences based on their personalities (Buettner, 2017 ), engagement (Ayvaz et al., 2021 ; Sung et al., 2021 ; Yim et al., 2021 ), and customer payment default (Vanneschi et al., 2018 ). AI also gives firms the ability to predict product, service, or feature demand and sales (Cardoso & Gomide, 2007 ; Castillo et al., 2017 ; Ryoba et al., 2021 ), thereby giving firms the ability to anticipate and dynamically adjust their advertising and sales strategies (Chen et al., 2014 ; Greenstein-Messica & Rokach, 2020 ). Even further, it gives firms the ability to predict the success or failure of these strategies (Chen & Chung, 2015 ).

Researchers have shown that using AI to build trust-based recommender systems can help e-commerce firms increase user acceptance of the recommendations made by e-commerce platforms (Bedi & Vashisth, 2014 ). This trust is created by accurately measuring the level of trust customers have in the recommendations made by the firm’s e-commerce platforms (Fang et al., 2018 ) or by making recommendations based on the recommendations of people the customers’ trust in their social sphere (Guo et al., 2014 ; Zhang et al., 2017 ).

Sentiment analytics using AI could give e-commerce firms the ability to provide accurate and personalised recommendations to customers by assessing their opinions expressed online such as through customer reviews (Al-Natour & Turetken, 2020 ; Qiu et al., 2018 ). It has also proven effective in helping brands better understand their customers over time and predict their behaviours (Das & Chen, 2007 ; Ghiassi et al., 2016 ; Pengnate & Riggins, 2020 ). For example, it helps firms better understand customer requirements for product improvements (Ou et al., 2018 ; Qi et al., 2016 ) and predict product sales based on customer sentiments (Li, Wang, et al., 2019 ; Li, Wu, et al., 2019 ; Li, Zhang, et al., 2019 ). Thus, firms can accurately guide their customers towards discovering desirable products (Liang & Wang, 2019 ) and predict the prices they would be willing to pay for products based on their sentiments (Tseng et al., 2018 ). Thus, firms that use AI-powered sentiment analytics would have the ability to constantly adapt their product development, sales, and pricing strategies while improving the quality of their e-commerce services and personalised recommendations for their customers.

While the current research themes are exciting and remain relevant in today’s context, it highlights the need for researchers to explore other research themes. For example, privacy, explainable, and ethical AI are trendy research themes in AI research nowadays. These themes are relevant to research on AI in e-commerce as well. Thus, developing these research themes would make significant contributions to research on AI in e-commerce. In the IS discipline, marketing & advertising is where AI applications in e-commerce have been researched the most. This finding complements Davenport et al. ( 2020 )’s argument, suggesting that marketing functions have the most to gain from AI. Most publications focus on technological issues like algorithms, support systems, and security. Very few studies investigated privacy, and none was found on topics like ethical, explainable, or sustainable AI. Therefore, future research should pay more attention to other relevant application domains like education & training, auctions, electronic payment systems, inter-organisational e-commerce, travel, hospitality, and leisure (Blöcher & Alt, 2021 ; Manthiou et al., 2021 ; Neuhofer et al., 2021 ). To this end, questions that may interest researchers include, what are the privacy challenges caused by using AI in e-commerce? How can AI improve e-commerce services in education and training? How can AI improve e-commerce services in healthcare? How can AI bring about sustainable e-commerce practices?

Furthermore, research on AI in e-commerce is published in two main journal categories: computer science & AI and business & management. Most citations come from the information systems, computer science, artificial intelligence, management science, and operations research disciplines. Thus, researchers interested in research on AI in e-commerce are most likely to find relevant information in such journals (see Tables 5 and 6 ). Researchers seeking to publish their research on AI in e-commerce can also target such journals. However, researchers are encouraged to publish their work in other equally important journal categories. For example, law and government-oriented journals would greatly benefit from research on AI in e-commerce. International laws and government policies could affect how AI is used in e-commerce. For example, due to the General Data Protection Regulation (GDPR), how firms use AI algorithms and applications to analyse user data in Europe may differ from how they would in the US. Such factors may have profound performance implications given that AI systems are as good as the volume and quality of data they can access for analysis. Thus, future research in categories other than those currently researched would benefit the research community.

More experiment than theory-driven research

Most of the research done on AI in e-commerce have adopted experimental approaches. Very few adopted theory-driven designs. This trend is also observed in IS research, where 69% of the studies used experimental research methods and 86% adopted a design science research approach instead of the positivist research approach often adopted in general e-commerce research (Wareham et al., 2005 ). However, this study's findings complement a recent review that shows that laboratory experiments and secondary data analysis were becoming increasingly popular in e-commerce research. Given that recommender systems support customer decision-making, this study also complements recent studies that show the rising use of design science research methods in decision support systems research (Arnott & Pervan, 2014 ) and in IS research in general (Jeyaraj & Zadeh, 2020 ). This finding could be explained by the fact that researchers primarily focused on enhancing the performance of AI algorithms used in recommender systems. Therefore, to test the performance of their algorithms in the real world, the researchers have to build a prototype and test it in real-life contexts. Using performance accuracy scores, the researchers would then tell the extent to which their proposed algorithm is performant. However, ML has been highlighted as a powerful tool that can help advance theory in behavioural IS research (Abdel-Karim et al., 2021 ). Therefore, key research questions on AI in e-commerce could be approached using ML as a tool for theory testing in behavioural studies. Researchers could consider going beyond using AI algorithms for optimising recommender systems to understand its users' behaviour. In Fig. 4 , observe that 73% of IS researcher papers reviewed approached AI as an algorithm or methodology to solve problems in e-commerce. Only 14% approached AI as a system. Researchers can adopt both approaches in the same study in the sense that they can leverage ML algorithms to understand human interactions with AI systems, not just for optimisation. This approach could provide users with insights by answering questions regarding the adoption and use of AI systems.

Furthermore, only 6% of the studies focus on consumer behaviour. Thus, most researchers on AI in e-commerce this far have focused more on algorithm performance than on modelling the behaviour of consumers who use AI systems. It is also clear that behavioural aspects of using recommender systems are often overlooked (Adomavicius et al., 2013 ). There is relatively limited research on the adoption, use, characteristics, and impact of AI algorithms or systems on its users. This issue was raised as a fundamental problem in this research area (Bo et al., 2007 ) and seems to remain the case today. However, understanding consumer behaviour could help improve the accuracy of AI algorithms. Thus, behavioural science researchers need to conduct more research on modelling consumer behaviours regarding consumers' acceptance, adoption, use, and post-adoption behaviours targeted by AI applications in e-commerce. As AI algorithms, systems, and use cases multiply in e-commerce, studies explaining their unique characteristics, adoption, use, and impact at different levels (individual, organisational, and societal) should also increase. It implies adopting a more theory-driven approach to research on AI in e-commerce. Therefore, behavioural science researchers should be looking into questions on the behavioural factors that affect the adoption of AI in e-commerce.

Implications for research

This study contributes to research by innovatively synthesising the literature on AI in e-commerce. Despite the recent evolution of AI and the steady rise of research on how it could affect e-commerce environments, no review has been conducted to understand this research area's state and evolution. Yet, a recent study shows that e-commerce and AI are currently key research topics and themes in the IS discipline (Jeyaraj & Zadeh, 2020 ). This paper has attempted to fill this research gap by providing researchers with a global view of AI research in e-commerce. It offers a multidimensional view of the knowledge structure and citation behaviour in this research area by presenting the study's findings from functional, normative, and interpretive perspectives. Specifically, it reveals the most relevant topics, concepts, and themes on AI in e-commerce from a multidisciplinary perspective.

This contribution could help researchers evaluate the value and contributions of their research topics in the research area with respect to other disciplines and choose the best publication outlets for their research projects. This study also reveals the importance of AI in designing recommender systems and shows the foundational literature on which this research area is built. Thus, researchers could use this study to design the content of AI or e-commerce courses in universities and higher education institutions. Its content provides future researchers and practitioners with the foundational knowledge required to build quality recommender systems. Researchers could also use this study to inform their fields on the relevance of their research topics and the specific gaps to fill therein. For example, this study reveals the extent to which the IS discipline has appropriated research on AI in e-commerce. It also shows contributions of the IS discipline to the current research themes, making it easier for IS researchers to identify research gaps as well as gaps between IS theory and practice.

Implications for practice

This study shows that AI in e-commerce primarily focuses on recommender systems. It highlights sentiment analysis, optimisation, trust, and personalisation as the core themes in the research area. Thus, managers could tap into these resources to improve the quality of their recommender systems. Specifically, it could help them understand how to develop optimised, personalised, trust-based and sentiment-based analytics supported by uniquely designed AI algorithms. This knowledge would make imitating or replicating the quality of recommendations rendered through e-commerce platforms practically impossible for competitors. Firms willing to use AI in e-commerce would need unique access and ownership of customer data, AI algorithms, and expertise in analytics (De Smedt et al., 2021 ; Kandula et al., 2021 ; Shi et al., 2020 ). The competition cannot imitate these resources because they are unique to the firm, especially if patented (Pantano & Pizzi, 2020 ). Also, this research paper classifies IS literature on AI in e-commerce by topic area, research style, and research theme. Thus, IS practitioners interested in implementing AI in e-commerce platforms would easily find the research papers that best meet their needs. It saves them the time to search for articles themselves, which may not always be relevant and reliable.

Limitations

This study has some limitations. It was challenging to select a category for each article in the sample dataset. Most of those articles could be rightfully placed in several categories of the classification frameworks. However, assigning articles to a single category in each framework simplifies the research area's conceptualisation and understanding (Wareham et al., 2005 ). Thus, categories were assigned to each article based on the most apparent orientation from the papers' titles, keywords, and abstracts. Another challenge was whether or not to include a research paper in the review. For example, although some studies on recommender systems featured in the keyword search results, the authors did not specify if the system's underlying algorithms were AI algorithms. Consequently, such articles were not classified to ensure that those included in this review certainly had an AI orientation. Despite our efforts, we humbly acknowledge that this study may have missed some publications, and others may have been published since this paper started the review process. Thus, in no way does this study claim to be exhaustive but rather extensive. Nonetheless, the findings from our rigorous literature review process strongly match the bibliometric analysis findings and those from similar studies we referenced. Therefore, we believe our contributions to IS research on AI in e-commerce remain relevant.

Future research

In addition to recommendations for future research discussed in the previous sections, the findings of this study are critically analysed through the lens of recent AI research published in leading IS journals. The aim is to identify other potential gaps for future research on AI in e-commerce that could interest the IS community.

One of the fundamental issues with AI research in IS today is understanding the AI concept (Ågerfalk, 2020 ). Our findings show that researchers have mostly considered algorithms and techniques like ML, DL, and NLP AI in their e-commerce research. Are these algorithms and techniques AI? Does the fact that an algorithm helps to analyse data and make predictions about e-commerce activities mean that the algorithm is AI? It is crucial for researchers to clearly explain what they mean by AI and differentiate between different types of AI used in their studies to avoid ambiguity. This explanation would help prevent confusion between AI and business intelligence & analytics in e-commerce. It would also help distinguish between AI as a social actor and AI as a technology with the computational capability to perform cognitive functions.

A second fundamental issue with AI research in IS is context (Ågerfalk, 2020 ). Using the same data, an AI system would/should be able to interpret the message communicated or sought by the user based on context. Context gives meaning to the data, making the AI system’s output relevant in the real world. Research on AI in e-commerce did not show much importance to context. Many authors used existing datasets to test their algorithms without connecting them to a social context. Thus, it is difficult to assess whether the performance of the proposed algorithms is relevant in every social context. Future research should consider using AI algorithms to analyse behavioural data alongside ‘hard’ data (facts) to identify patterns and draw conclusions in specific contexts. It implies answering the crucial question, what type of AI best suits which e-commerce context? Thus, researchers would need to collaborate with practitioners to better understand and delineate contexts (Ågerfalk, 2020 ) of investigation rather than make general claims on fraud detection or product prices, for example.

The IS community is also interested in understanding ethical choices and challenges organisations face when adopting AI systems and algorithms. What ethical decisions do e-commerce firms need to make when implementing AI solutions? What are the ethical challenges e-commerce firms face when implementing AI solutions? Following a sociotechnical approach, firms seeking to implement AI systems need to make ethical choices. These include transparent vs black-boxed algorithms, slow & careful vs expedited & timely designs, passive vs active implementation approach, obscure vs open system implementation, compliance vs risk-taking, and contextualised vs standardised use of AI systems (Marabelli et al., 2021 ). Thus, future research on AI in e-commerce should investigate how e-commerce firms address these ethical choices when implementing their AI solutions and the challenges they face in the process.

AI and the future of work is another primary source of controversy in the IS community (Huysman, 2020 ; Willcocks, 2020a , b ). Several researchers are investigating how AI is transforming the work configurations of organisations. Workplace technology platforms are increasingly observed to integrate office applications, social media features and AI-driven self-learning capabilities (Baptista et al., 2020 ; Grønsund & Aanestad, 2020 ; Lyytinen et al., 2020 ). Is this emergent digital/human work configuration also happening in e-commerce firms? How is this changing the future of work in the e-commerce industry?

IS researchers have increasingly called for research on how AI transforms decision making. For example, they are interested in understanding how AI could help augment mental processing, change managerial mindsets and actions, and affect the rationality of economic agents (Brynjolfsson et al., 2021 ). A recent study also makes several research propositions for IS researchers regarding conceptual and theoretical development, AI-human interaction, and AI implementation in the context of decision making (Duan et al., 2019 ). This study shows that decision-making is not a fundamental research theme as it accounts for only 13% of the research papers reviewed. Thus, future research on AI in e-commerce should contribute to developing this AI research theme in the e-commerce context. It involves proposing answers to questions like how AI affects managerial mindsets and actions in e-commerce? How is AI affecting the rationality of consumers who use e-commerce platforms?

This study shows that relatively few research papers on AI in e-commerce are theory-driven. Most adopted experimental research methods and design science research approaches wherein they use AI algorithms to explain phenomena. The IS community is increasingly interested in developing theories using AI algorithms (Abdel-Karim et al., 2021 ). Contrary to traditional theory development approaches, such theories developed based on AI algorithms like ML are called to be focused, context-specific, and as transparent as possible (Chiarini Tremblay et al., 2021 ). Thus, rather than altogether abandoning the algorithm-oriented approach used for AI in e-commerce research, researchers who master it should develop skills to use it as a basis for theorising.

Last but not least, more research is needed on the role of AI-powered voice-based AI in e-commerce. It is becoming common for consumers to use intelligent personal assistants like Google’s Google Assistant, Amazon’s Alexa, and Apple’s Siri for shopping activities since many retail organisations are making them an integral part of their e-commerce platforms (de Barcelos Silva et al., 2020 ). Given the rising adoption of smart speakers by consumers, research on voice commerce should become a priority for researchers on AI in e-commerce. Yet, this study shows that researchers are still mostly focused on web-based, social networking (social commerce), and mobile (m-commerce) platforms. Therefore, research on the factors that affect the adoption and use of voice assistants in e-commerce and the impact on consumers and e-commerce firms would make valuable contributions to e-commerce research. Table 9 summarises the main research directions recommended in this paper.

Conclusions

AI has emerged as a technology that can differentiate between two competing firms in e-commerce environments. This study presents the state of research of AI in e-commerce based on bibliometric analysis and a literature review of IS research. The bibliometric analysis highlights China and the USA as leaders in this research area. Recommender systems are the most investigated technology. The main research themes in this area of research are optimisation, trust & personalisation, sentiment analysis, and AI concepts & related technologies. Most research papers on AI in e-commerce are published in computer science, AI, business, and management outlets. Researchers in the IS discipline has focused on AI applications and technology-related issues like algorithm performance. Their focus has been more on AI algorithms and methodologies than AI systems. Also, most studies have adopted a design science research approach and experiment-style research methods. In addition to the core research themes of the area, IS researchers have also focused their research on AI design, tools and techniques, decision support, consumer behaviour, AI concepts, and intelligent agents. The paper discusses opportunities for future research revealed directly by analysing the results of this study. It also discusses future research directions based on current debates on AI research in the IS community. Thus, we hope that this paper will help inform future research on AI in e-commerce.

Download the bibliometrix R package and read more here: https://www.bibliometrix.org/index.html

Global citation refers to the total number of times the document has been cited in other documents in general and local citations refer to the total number of times a document has been cited by other documents in our dataset.

https://axiomq.com/blog/8-largest-e-commerce-companies-in-the-world/

Abbasi, A., Zhang, Z., Zimbra, D., Chen, H., & Nunamaker, J. F. (2010). Detecting fake websites: The contribution of statistical learning theory. MIS Quarterly, 34 (3), 435–461. https://doi.org/10.2307/25750686

Abdel-Karim, B. M., Pfeuffer, N., & Hinz, O. (2021). Machine learning in information systems - a bibliographic review and open research issues. Electronic Markets, 31 (3), 643–670. https://doi.org/10.1007/s12525-021-00459-2

Article Google Scholar

Adomavicius, G., Bockstedt, J. C., Curley, S. P., & Zhang, J. (2013). Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. Information Systems Research, 24 (4), 956–975. https://doi.org/10.1057/isre.2013.0497

Adomavicius, G., Sankaranarayanan, R., Sen, S., & Tuzhilin, A. (2005). Incorporating contextual information in recommender systems using a multidimensional approach. ACM Transactions on Information Systems, 23 (1), 103–145. https://doi.org/10.1145/1055709.1055714

Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17 (6), 734–749. https://doi.org/10.1109/TKDE.2005.99

Ågerfalk, P. J. (2020). Artificial intelligence as digital agency. European Journal of Information Systems, 29 (1), 1–8. https://doi.org/10.1080/0960085X.2020.1721947

Aghaei Chadegani, A., Salehi, H., Md Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ale Ebrahim, N. (2013). A comparison between two main academic literature collections: Web of science and scopus databases. Asian Social Science, 9 (5), 18–26. https://doi.org/10.5539/ass.v9n5p18

Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining Association Rules Between Sets of Items in Large Databases. ACM SIGMOD Record, 22 (2), 207–216. https://doi.org/10.1145/170036.170072

Aguwa, C., Olya, M. H., & Monplaisir, L. (2017). Modeling of fuzzy-based voice of customer for business decision analytics. Knowledge-Based Systems, 125 , 136–145. https://doi.org/10.1016/j.knosys.2017.03.019

Aher, S. B., & Lobo, L. M. R. J. (2013). Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data. Knowledge-Based Systems, 51 , 1–14. https://doi.org/10.1016/j.knosys.2013.04.015

Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: A systematic review and agenda for future research. Electronic Markets, 26 (2), 173–194. https://doi.org/10.1007/s12525-016-0219-0

Akter, S., Wamba, S. F., Mariani, M., & Hani, U. (2021). How to Build an AI Climate-Driven Service Analytics Capability for Innovation and Performance in Industrial Markets? Industrial Marketing Management, 97 , 258–273. https://doi.org/10.1016/j.indmarman.2021.07.014

Al-Natour, S., Benbasat, I., & Cenfetelli, R. (2011). The adoption of online shopping assistants: Perceived similarity as an antecedent to evaluative beliefs. Journal of the Association for Information Systems, 12 (5), 347–374. https://doi.org/10.17705/1jais.00267

Al-Natour, S., Benbasat, I., & Cenfetelli, R. T. (2006). The role of design characteristics in shaping perceptions of similarity: The case of online shopping assistants. Journal of the Association for Information Systems, 7 (12), 821–861.

Al-Natour, S., & Turetken, O. (2020). A comparative assessment of sentiment analysis and star ratings for consumer reviews. International Journal of Information Management, 54 , 102132. https://doi.org/10.1016/j.ijinfomgt.2020.102132

Al-Shamri, M. Y. H. (2016). User profiling approaches for demographic recommender systems. Knowledge-Based Systems, 100 , 175–187. https://doi.org/10.1016/j.knosys.2016.03.006

Alt, R., Ehmke, J. F., Haux, R., Henke, T., Mattfeld, D. C., Oberweis, A., Paech, B., & Winter, A. (2019). Towards customer-induced service orchestration - requirements for the next step of customer orientation. Electronic Markets, 29 (1), 79–91. https://doi.org/10.1007/s12525-019-00340-3

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research, 149 (3), 803–831. https://doi.org/10.1007/s11205-020-02281-3

Ariyaluran Habeeb, R. A., Nasaruddin, F., Gani, A., Targio Hashem, I. A., Ahmed, E., & Imran, M. (2019). Real-time big data processing for anomaly detection: A Survey. International Journal of Information Management, 45 , 289–307. https://doi.org/10.1016/j.ijinfomgt.2018.08.006

Arnott, D., & Pervan, G. (2014). A critical analysis of decision support systems research revisited: The rise of design science. Journal of Information Technology, 29 (4), 269–293. https://doi.org/10.1057/jit.2014.16

Ayvaz, D., Aydoğan, R., Akçura, M. T., & Şensoy, M. (2021). Campaign participation prediction with deep learning. Electronic Commerce Research and Applications, 48 , 101058. https://doi.org/10.1016/j.elerap.2021.101058

Azadjalal, M. M., Moradi, P., Abdollahpouri, A., & Jalili, M. (2017). A trust-aware recommendation method based on Pareto dominance and confidence concepts. Knowledge-Based Systems, 116 , 130–143. https://doi.org/10.1016/j.knosys.2016.10.025

Bag, S., Kumar, S. K., & Tiwari, M. K. (2019). An efficient recommendation generation using relevant Jaccard similarity. Information Sciences, 483 , 53–64. https://doi.org/10.1016/j.ins.2019.01.023

Bai, X., Marsden, J. R., Ross, W. T., & Wang, G. (2020). A note on the impact of daily deals on local retailers’ online reputation: Mediation effects of the consumer experience. Information Systems Research, 31 (4), 1132–1143. https://doi.org/10.1287/isre.2020.0935

Balabanović, M., & Shoham, Y. (1997). Content-Based, Collaborative Recommendation. Communications of the ACM, 40 (3), 66–72. https://doi.org/10.1145/245108.245124

Bandyopadhyay, S., Rees, J., & Barron, J. M. (2008). Reverse auctions with multiple reinforcement learning agents. Decision Sciences, 39 (1), 33–63. https://doi.org/10.1111/j.1540-5915.2008.00181.x

Baptista, J., Stein, M.-K., Klein, S., Watson-Manheim, M. B., & Lee, J. (2020). Digital work and organisational transformation: Emergent Digital/Human work configurations in modern organisations. The Journal of Strategic Information Systems, 29 (2), 101618. https://doi.org/10.1016/j.jsis.2020.101618

Barzegar Nozari, R., & Koohi, H. (2020). A novel group recommender system based on members’ influence and leader impact. Knowledge-Based Systems, 205 , 106296. https://doi.org/10.1016/j.knosys.2020.106296

Bassano, C., Gaeta, M., Piciocchi, P., & Spohrer, J. C. (2017). Learning the Models of Customer Behavior: From Television Advertising to Online Marketing. International Journal of Electronic Commerce, 21 (4), 572–604. https://doi.org/10.1080/10864415.2016.1355654

Bauer, J., & Jannach, D. (2018). Optimal pricing in e-commerce based on sparse and noisy data. Decision Support Systems, 106 , 53–63. https://doi.org/10.1016/j.dss.2017.12.002

Bawack, R. E., Wamba, S. F., & Carillo, K. (2021). A framework for understanding artificial intelligence research: insights from practice. Journal of Enterprise Information Management, 34 (2), 645–678. https://doi.org/10.1108/JEIM-07-2020-0284

Bedi, P., & Vashisth, P. (2014). Empowering recommender systems using trust and argumentation. Information Sciences, 279 , 569–586. https://doi.org/10.1016/j.ins.2014.04.012

Beladev, M., Rokach, L., & Shapira, B. (2016). Recommender systems for product bundling. Knowledge-Based Systems, 111 , 193–206. https://doi.org/10.1016/j.knosys.2016.08.013

Benbya, H., Pachidi, S., & Jarvenpaa, S. L. (2021). Special issue editorial: Artificial intelligence in organizations: Implications for information systems research. Journal of the Association for Information Systems, 22 (2), 281–303. https://doi.org/10.17705/1jais.00662

Blei, D. M., Ng, A. Y., & Jordan, M. T. (2002). Latent dirichlet allocation. Advances in Neural Information Processing Systems, 3 (Jan), 993–1022.

Google Scholar

Blöcher, K., & Alt, R. (2021). AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry. Electronic Markets, 31 (3), 529–551. https://doi.org/10.1007/s12525-020-00443-2

Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008 (10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008

Bo, X., Benbasat, I., Xiao, B., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31 (1), 137–209. https://doi.org/10.2307/25148784

Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46 , 109–132. https://doi.org/10.1016/j.knosys.2013.03.012

Bobadilla, J., Ortega, F., Hernando, A., & Bernal, J. (2012). A collaborative filtering approach to mitigate the new user cold start problem. Knowledge-Based Systems, 26 , 225–238. https://doi.org/10.1016/j.knosys.2011.07.021

Bolton, R. J., & Hand, D. J. (2002). Statistical fraud detection: A review. Statistical Science, 17 (3), 235–255. https://doi.org/10.1214/ss/1042727940

Bondielli, A., & Marcelloni, F. (2019). A survey on fake news and rumour detection techniques. Information Sciences, 497 , 38–55. https://doi.org/10.1016/j.ins.2019.05.035

Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2020). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management , 102225. https://doi.org/10.1016/j.ijinfomgt.2020.102225

Bose, I., & Chen, X. (2009). Hybrid models using unsupervised clustering for prediction of customer churn. Journal of Organizational Computing and Electronic Commerce, 19 (2), 133–151. https://doi.org/10.1080/10919390902821291

Brazier, F. M. T., Cornelissen, F., Gustavsson, R., Jonker, C. M., Lindeberg, O., Polak, B., & Treur, J. (2002). A multi-agent system performing one-to-many negotiation for load balancing of electricity use. Electronic Commerce Research and Applications, 1 (2), 208–224. https://doi.org/10.1016/S1567-4223(02)00013-3

Breiman, L. (2001). Random forests. Machine Learning, 45 (1), 5–32. https://doi.org/10.1023/A:1010933404324

Brusilovski, P., Kobsa, A., & Nejdl, W. (2007). The Adaptive Web Methods and Strategies of Web Personalization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol 4321 LNCS . Springer Science & Business Media.

Brynjolfsson, E., Wang, C., & Zhang, X. (2021). The economics of IT and digitization: Eight questions for research. MIS Quarterly, 45 (1), 473–477.

Buettner, R. (2017). Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework. Electronic Markets, 27 (3), 247–265. https://doi.org/10.1007/s12525-016-0228-z

Bukhari, A. C., & Kim, Y.-G. (2012). Integration of a secure type-2 fuzzy ontology with a multi-agent platform: A proposal to automate the personalized flight ticket booking domain. Information Sciences, 198 , 24–47. https://doi.org/10.1016/j.ins.2012.02.036

Burke, R. (2002). Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12 (4), 331–370. https://doi.org/10.1023/A:1021240730564

Büyüközkan, G., Feyzioǧlu, O., & Nebol, E. (2008). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics, 113 (1), 148–158. https://doi.org/10.1016/j.ijpe.2007.01.016

Cacheda, F., Carneiro, V., Fernández, D., & Formoso, V. (2011). Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Transactions on the Web , 5 (1). https://doi.org/10.1145/1921591.1921593

Cai, H., & Zhang, F. (2019). Detecting shilling attacks in recommender systems based on analysis of user rating behavior. Knowledge-Based Systems, 177 , 22–43. https://doi.org/10.1016/j.knosys.2019.04.001

Campbell, C., Sands, S., Ferraro, C., Tsao (Jody), H.-Y., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63 (2), 227–243. https://doi.org/10.1016/j.bushor.2019.12.002

Cao, Q., & Schniederjans, M. J. (2006). Agent-mediated architecture for reputation-based electronic tourism systems: A neural network approach. Information and Management, 43 (5), 598–606. https://doi.org/10.1016/j.im.2006.03.001

Cao, Y., & Li, Y. (2007). An intelligent fuzzy-based recommendation system for consumer electronic products. Expert Systems with Applications, 33 (1), 230–240. https://doi.org/10.1016/j.eswa.2006.04.012

Carbó, J., Molina, J. M., & Dávila, J. (2007). Avoiding malicious agents in E-commerce using fuzzy recommendations. Journal of Organizational Computing and Electronic Commerce, 17 (2), 101–117. https://doi.org/10.1080/10919390701293972

Cardoso, G., & Gomide, F. (2007). Newspaper demand prediction and replacement model based on fuzzy clustering and rules. Information Sciences, 177 (21), 4799–4809. https://doi.org/10.1016/j.ins.2007.05.009

Castillo, P. A., Mora, A. M., Faris, H., Merelo, J. J., García-Sánchez, P., Fernández-Ares, A. J., De las Cuevas, P., & García-Arenas, M. I. (2017). Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment. Knowledge-Based Systems, 115 , 133–151. https://doi.org/10.1016/j.knosys.2016.10.019

Chang, C. C., & Lin, C. J. (2011). LIBSVM: A Library for support vector machines. ACM Transactions on Intelligent Systems and Technology , 2 (3). https://doi.org/10.1145/1961189.1961199

Chang, J.-S., & Chang, W.-H. (2014). Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters. Electronic Commerce Research and Applications, 13 (2), 79–97. https://doi.org/10.1016/j.elerap.2013.10.004

Chang, R. M., Kauffman, R. J., & Kwon, Y. (2014). Understanding the paradigm shift to computational social science in the presence of big data. Decision Support Systems, 63 , 67–80. https://doi.org/10.1016/j.dss.2013.08.008

Chang, S. E., & Jang, Y. T. (2009). Assessing customer satisfaction in a V-commerce environment. Journal of Organizational Computing and Electronic Commerce, 19 (1), 30–49. https://doi.org/10.1080/10919390802605083

Chang, W.-H., & Chang, J.-S. (2012). An effective early fraud detection method for online auctions. Electronic Commerce Research and Applications, 11 (4), 346–360. https://doi.org/10.1016/j.elerap.2012.02.005

Chang, W.-L. (2011). iValue: A knowledge-based system for estimating customer prospect value. Knowledge-Based Systems, 24 (8), 1181–1186. https://doi.org/10.1016/j.knosys.2011.05.004

Chaudhuri, N., Gupta, G., Vamsi, V., & Bose, I. (2021). On the platform but will they buy? Predicting customers’ purchase behavior using deep learning. Decision Support Systems, 149 , 113622. https://doi.org/10.1016/j.dss.2021.113622

Chen, C. C., & Chung, M.-C. (2015). Predicting the success of group buying auctions via classification. Knowledge-Based Systems, 89 , 627–640. https://doi.org/10.1016/j.knosys.2015.09.009

Chen, K., Luo, P., & Wang, H. (2017). An influence framework on product word-of-mouth (WoM) measurement. Information and Management, 54 (2), 228–240. https://doi.org/10.1016/j.im.2016.06.010

Chen, L., Chen, G., & Wang, F. (2015). Recommender systems based on user reviews: The state of the art. User Modeling and User-Adapted Interaction, 25 (2), 99–154. https://doi.org/10.1007/s11257-015-9155-5

Chen, L., & Wang, F. (2013). Preference-based clustering reviews for augmenting e-commerce recommendation. Knowledge-Based Systems, 50 , 44–59. https://doi.org/10.1016/j.knosys.2013.05.006

Chen, M.-Y. (2013). A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering. Information Sciences, 220 , 180–195. https://doi.org/10.1016/j.ins.2011.09.013

Chen, M. Y., Kiciman, E., Fratkin, E., Fox, A., & Brewer, E. (2002). Pinpoint: Problem determination in large, dynamic internet services. Proceedings of the 2002 International Conference on Dependable Systems and Networks , 595–604. https://doi.org/10.1109/DSN.2002.1029005

Chen, R., Wang, Q., & Xu, W. (2019). Mining user requirements to facilitate mobile app quality upgrades with big data. Electronic Commerce Research and Applications, 38 , 100889. https://doi.org/10.1016/j.elerap.2019.100889

Chen, R., Zheng, Y., Xu, W., Liu, M., & Wang, J. (2018). Secondhand seller reputation in online markets: A text analytics framework. Decision Support Systems, 108 , 96–106. https://doi.org/10.1016/j.dss.2018.02.008

Chen, Y.-S. (2012). Classifying credit ratings for Asian banks using integrating feature selection and the CPDA-based rough sets approach. Knowledge-Based Systems, 26 , 259–270. https://doi.org/10.1016/j.knosys.2011.08.021

Chen, Y. L., Cheng, L. C., & Hsu, W. Y. (2013). A new approach to the group ranking problem: Finding consensus ordered segments from users’ preference data. Decision Sciences, 44 (6), 1091–1119. https://doi.org/10.1111/deci.12048

Chen, Y. L., Tang, K., Wu, C. C., & Jheng, R. Y. (2014). Predicting the influence of users’ posted information for eWOM advertising in social networks. Electronic Commerce Research and Applications, 13 (6), 431–439. https://doi.org/10.1016/j.elerap.2014.10.001

Cheung, K. W., Kwok, J. T., Law, M. H., & Tsui, K. C. (2003). Mining customer product ratings for personalized marketing. Decision Support Systems, 35 (2), 231–243. https://doi.org/10.1016/S0167-9236(02)00108-2

Chiarini Tremblay, M., Kohli, R., & Forsgren, N. (2021). Theories in Flux: Reimagining Theory Building in the Age of Machine Learning. MIS Quarterly, 45 (1), 455–459.

Cho, Y. H., Kim, J. K., & Kim, S. H. (2002). A personalized recommender system based on web usage mining and decision tree induction. Expert Systems with Applications, 23 (3), 329–342. https://doi.org/10.1016/S0957-4174(02)00052-0

Chong, A.Y.-L. (2013a). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40 (4), 1240–1247. https://doi.org/10.1016/j.eswa.2012.08.067

Chong, A. Y. L. (2013b). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40 (2), 523–530. https://doi.org/10.1016/j.eswa.2012.07.068

Chou, T. H., & Seng, J. L. (2009). An intelligent multi-agent e-services method-An international telecommunication example. Information and Management, 46 (6), 342–350. https://doi.org/10.1016/j.im.2009.05.006

Chow, H. K. H., Choy, K. L., & Lee, W. B. (2007). A dynamic logistics process knowledge-based system - An RFID multi-agent approach. Knowledge-Based Systems, 20 (4), 357–372. https://doi.org/10.1016/j.knosys.2006.08.004

Chu, B.-H., Tsai, M.-S., & Ho, C.-S. (2007). Toward a hybrid data mining model for customer retention. Knowledge-Based Systems, 20 (8), 703–718. https://doi.org/10.1016/j.knosys.2006.10.003

Chung, W. (2014). BizPro: Extracting and categorizing business intelligence factors from textual news articles. International Journal of Information Management, 34 (2), 272–284. https://doi.org/10.1016/j.ijinfomgt.2014.01.001

Cram, W. A., Templier, M., & Paré, G. (2020). (Re)considering the concept of literature review reproducibility. Journal of the Association for Information Systems, 21 (5), 1103–1114. https://doi.org/10.17705/1jais.00630

Cui, G., Wong, M. L., & Lui, H. K. (2006). Machine learning for direct marketing response models: Bayesian networks with evolutionary programming. Management Science, 52 (4), 597–612. https://doi.org/10.1287/mnsc.1060.0514

Da’u, A., Salim, N., Rabiu, I., & Osman, A. (2020). Recommendation system exploiting aspect-based opinion mining with deep learning method. Information Sciences, 512 , 1279–1292. https://doi.org/10.1016/j.ins.2019.10.038

Das, S. R., & Chen, M. Y. (2007). Yahoo! for amazon: Sentiment extraction from small talk on the Web. Management Science, 53 (9), 1375–1388. https://doi.org/10.1287/mnsc.1070.0704

Dastani, M., Jacobs, N., Jonker, C. M., & Treur, J. (2005). Modelling user preferences and mediating agents in electronic commerce. Knowledge-Based Systems, 18 (7), 335–352. https://doi.org/10.1016/j.knosys.2005.05.001

Datta, S., Bhaduri, K., Giannella, C., Wolff, R., & Kargupta, H. (2006). Distributed Data Mining in Peer-to-Peer Networks. IEEE Internet Computing, 10 (4), 18–26. https://doi.org/10.1109/MIC.2006.74

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48 (1), 24–42. https://doi.org/10.1007/s11747-019-00696-0

de Barcelos Silva, A., Gomes, M. M., da Costa, C. A., da Rosa Righi, R., Barbosa, J. L. V., Pessin, G., De Doncker, G., & Federizzi, G. (2020). Intelligent personal assistants: A systematic literature review. Expert Systems with Applications, 147 , 113193. https://doi.org/10.1016/j.eswa.2020.113193

de Bellis, E., & Venkataramani Johar, G. (2020). Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption. Journal of Retailing, 96 (1), 74–87. https://doi.org/10.1016/j.jretai.2019.12.004

De Carolis, B., de Gemmis, M., Lops, P., & Palestra, G. (2017). Recognizing users feedback from non-verbal communicative acts in conversational recommender systems. Pattern Recognition Letters, 99 , 87–95.

De Smedt, J., Lacka, E., Nita, S., Kohls, H. H., & Paton, R. (2021). Session stitching using sequence fingerprinting for web page visits. Decision Support Systems, 150 , 113579. https://doi.org/10.1016/j.dss.2021.113579

Decker, R., & Trusov, M. (2010). Estimating aggregate consumer preferences from online product reviews. International Journal of Research in Marketing, 27 (4), 293–307. https://doi.org/10.1016/j.ijresmar.2010.09.001

Deng, S., Tan, C. W., Wang, W., & Pan, Y. (2019). Smart Generation System of Personalized Advertising Copy and Its Application to Advertising Practice and Research. Journal of Advertising, 48 (4), 356–365. https://doi.org/10.1080/00913367.2019.1652121

Dong, M., Zeng, X., Koehl, L., & Zhang, J. (2020). An interactive knowledge-based recommender system for fashion product design in the big data environment. Information Sciences, 540 , 469–488. https://doi.org/10.1016/j.ins.2020.05.094

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48 , 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, Medaglia, R., Le Meunier-FitzHugh, K., Le Meunier-FitzHugh, L. C., Misra, S., Mogaji, E., Sharma, S. K., Bahadur Singh, J., Raghavan, V., Raman, R., P. Rana, N., Samothrakis, S., Spencer, J., Tamilmani, K., Tubadji, A. Walton, P., & Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management , 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2020). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management , 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168

Esfahani, H. J., Tavasoli, K., & Jabbarzadeh, A. (2019). Big data and social media: A scientometrics analysis. International Journal of Data and Network Science, 3 (3), 145–164. https://doi.org/10.5267/j.ijdns.2019.2.007

Esmeli, R., Bader-El-Den, M., & Abdullahi, H. (2021). Towards early purchase intention prediction in online session based retailing systems. Electronic Markets, 31 (3). https://doi.org/10.1007/s12525-020-00448-x

Fang, H., Zhang, J., & Şensoy, M. (2018). A generalized stereotype learning approach and its instantiation in trust modeling. Electronic Commerce Research and Applications, 30 , 149–158. https://doi.org/10.1016/j.elerap.2018.06.004

Fang, X., Hu, P. J. H., Li, Z. L., & Tsai, W. (2013). Predicting adoption probabilities in social networks. Information Systems Research, 24 (1), 128–145. https://doi.org/10.1287/isre.1120.0461

Fasli, M., & Kovalchuk, Y. (2011). Learning approaches for developing successful seller strategies in dynamic supply chain management. Information Sciences, 181 (16), 3411–3426. https://doi.org/10.1016/j.ins.2011.04.014

Feng, S., Zhang, H., Wang, L., Liu, L., & Xu, Y. (2019). Detecting the latent associations hidden in multi-source information for better group recommendation. Knowledge-Based Systems, 171 , 56–68. https://doi.org/10.1016/j.knosys.2019.02.002

Ferrara, E., De Meo, P., Fiumara, G., & Baumgartner, R. (2014). Web data extraction, applications and techniques: A survey. Knowledge-Based Systems, 70 , 301–323. https://doi.org/10.1016/j.knosys.2014.07.007

Fiore, U., De Santis, A., Perla, F., Zanetti, P., & Palmieri, F. (2019). Using generative adversarial networks for improving classification effectiveness in credit card fraud detection. Information Sciences, 479 , 448–455. https://doi.org/10.1016/j.ins.2017.12.030

Fosso Wamba, S. (2020). Humanitarian supply chain: a bibliometric analysis and future research directions. Annals of Operations Research , 1–27. https://doi.org/10.1007/s10479-020-03594-9

Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29 (5), 1189–1232. https://doi.org/10.1214/aos/1013203451

Galitsky, B. (2006). Reasoning about attitudes of complaining customers. Knowledge-Based Systems, 19 (7), 592–615. https://doi.org/10.1016/j.knosys.2006.03.006

Geng, Q., Deng, S., Jia, D., & Jin, J. (2020). Cross-domain ontology construction and alignment from online customer product reviews. Information Sciences, 531 , 47–67. https://doi.org/10.1016/j.ins.2020.03.058

Ghavipour, M., & Meybodi, M. R. (2016). An adaptive fuzzy recommender system based on learning automata. Electronic Commerce Research and Applications, 20 , 105–115. https://doi.org/10.1016/j.elerap.2016.10.002

Ghiassi, M., Zimbra, D., & Lee, S. (2016). Targeted Twitter Sentiment Analysis for Brands Using Supervised Feature Engineering and the Dynamic Architecture for Artificial Neural Networks. Journal of Management Information Systems, 33 (4), 1034–1058. https://doi.org/10.1080/07421222.2016.1267526

Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23 (10), 1498–1512. https://doi.org/10.1109/TKDE.2010.188

Gielens, K., & Steenkamp, J.-B.E.M. (2019). Branding in the era of digital (dis)intermediation. International Journal of Research in Marketing, 36 (3), 367–384. https://doi.org/10.1016/j.ijresmar.2019.01.005

Gokmen, T., & Vlasov, Y. (2016). Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations. Frontiers in Neuroscience, 10 , 333. https://doi.org/10.3389/fnins.2016.00333

Goldberg, D., Nichols, D., Oki, B. M., & Terry, D. (1992). Using collaborative filtering to Weave an Information tapestry. Communications of the ACM, 35 (12), 61–70. https://doi.org/10.1145/138859.138867

Goldberg, K., Roeder, T., Gupta, D., & Perkins, C. (2001). Eigentaste: A Constant Time Collaborative Filtering Algorithm. Information Retrieval, 4 (2), 133–151. https://doi.org/10.1023/A:1011419012209

Gong, J., Abhishek, V., & Li, B. (2018). Examining the impact of keyword ambiguity on search advertising performance: A topic model approach. MIS Quarterly, 42 (3), 805–829. https://doi.org/10.25300/MISQ/2018/14042

Greenstein-Messica, A., & Rokach, L. (2018). Personal price aware multi-seller recommender system: Evidence from eBay. Knowledge-Based Systems, 150 , 14–26. https://doi.org/10.1016/j.knosys.2018.02.026

Greenstein-Messica, A., & Rokach, L. (2020). Machine learning and operation research based method for promotion optimization of products with no price elasticity history. Electronic Commerce Research and Applications, 40 , 100914. https://doi.org/10.1016/j.elerap.2019.100914

Griggs, K., & Wild, R. (2003). Intelligent support for sophisticated e-commerce services: An agent-based auction framework modeled after the New York stock exchange specialist system. E-Service Journal, 2 (2), 87–104. https://doi.org/10.2979/esj.2003.2.2.87

Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. Journal of Strategic Information Systems , 29 (2). https://doi.org/10.1016/j.jsis.2020.101614

Gu, X., Wu, S., Peng, P., Shou, L., Chen, K., & Chen, G. (2017). CSIR4G: An effective and efficient cross-scenario image retrieval model for glasses. Information Sciences, 417 , 310–327. https://doi.org/10.1016/j.ins.2017.07.027

Guan, J., Shi, D., Zurada, J. M., & Levitan, A. S. (2014). Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration. Journal of Organizational Computing and Electronic Commerce, 24 (1), 94–112. https://doi.org/10.1080/10919392.2014.866505

Guan, S.-U., Chan, T. K., & Zhu, F. (2005). Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis. Electronic Commerce Research and Applications, 4 (4), 377–394. https://doi.org/10.1016/j.elerap.2005.07.002

Guan, Y., Wei, Q., & Chen, G. (2019). Deep learning based personalized recommendation with multi-view information integration. Decision Support Systems, 118 , 58–69. https://doi.org/10.1016/j.dss.2019.01.003

Gunnec, D., & Raghavan, S. (2017). Integrating Social Network Effects in the Share-Of-Choice Problem. Decision Sciences, 48 (6), 1098–1131. https://doi.org/10.1111/deci.12246

Guo, G., Qiu, H., Tan, Z., Liu, Y., Ma, J., & Wang, X. (2017a). Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. Knowledge-Based Systems, 138 , 202–207. https://doi.org/10.1016/j.knosys.2017.10.005

Guo, G., Zhang, J., & Thalmann, D. (2014). Merging trust in collaborative filtering to alleviate data sparsity and cold start. Knowledge-Based Systems, 57 , 57–68. https://doi.org/10.1016/j.knosys.2013.12.007

Guo, G., Zhang, J., Zhu, F., & Wang, X. (2017b). Factored similarity models with social trust for top-N item recommendation. Knowledge-Based Systems, 122 , 17–25. https://doi.org/10.1016/j.knosys.2017.01.027

Guo, H., Pathak, P., & Cheng, H. K. (2015). Estimating Social Influences from Social Networking Sites-Articulated Friendships versus Communication Interactions. Decision Sciences, 46 (1), 135–163. https://doi.org/10.1111/deci.12118

Guo, X., Wei, Q., Chen, G., Zhang, J., & Qiao, D. (2017). Extracting representative information on intra-organizational blogging platforms. MIS Quarterly, 41 (4), 1105–1127. https://doi.org/10.25300/MISQ/2017/41.4.05

Gupta, S., & Kant, V. (2020). Credibility score based multi-criteria recommender system. Knowledge-Based Systems, 196 , 105756. https://doi.org/10.1016/j.knosys.2020.105756

Guttman, R. H., Moukas, A. G., & Maes, P. (1998). Agent-mediated electronic commerce: A survey. Knowledge Engineering Review, 13 (2), 147–159. https://doi.org/10.1017/S0269888998002082

Ha, S. H., & Lee, J. H. (2009). Dynamic dissemination of personalized content on the web. Journal of Organizational Computing and Electronic Commerce, 19 (2), 96–111. https://doi.org/10.1080/10919390902821218

Hamad, H., Elbeltagi, I., & El-Gohary, H. (2018). An empirical investigation of business-to-business e-commerce adoption and its impact on SMEs competitive advantage: The case of Egyptian manufacturing SMEs. Strategic Change, 27 (3), 209–229. https://doi.org/10.1002/jsc.2196

Han, J., Zheng, L., Huang, H., Xu, Y., Yu, P. S., & Zuo, W. (2019). Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems. Information Sciences, 503 , 521–532. https://doi.org/10.1016/j.ins.2019.07.024

Han, J., Kamber, M., & Pei, J. (2001). Data mining: Concepts and technologies. Data Mining Concepts Models Methods & Algorithms, 5 (4), 1–18.

Hanani, U., Shapira, B., & Shoval, P. (2001). Information filtering: Overview of issues, research and systems. User Modeling and User-Adapted Interaction, 11 (3), 203–259. https://doi.org/10.1023/A:1011196000674

Hansen, J. H. L., & Hasan, T. (2015). Speaker recognition by machines and humans: A tutorial review. IEEE Signal Processing Magazine, 32 (6), 74–99. https://doi.org/10.1109/MSP.2015.2462851

Hassan, N. R., & Loebbecke, C. (2017). Engaging scientometrics in information systems. Journal of Information Technology, 32 (1), 85–109.

He, J., Fang, X., Liu, H., & Li, X. (2019). Mobile app recommendation: An involvement-enhanced approach. MIS Quarterly, 43 (3), 827–850. https://doi.org/10.25300/MISQ/2019/15049

He, W., Zhang, Z., & Akula, V. (2018). Comparing consumer-produced product reviews across multiple websites with sentiment classification. Journal of Organizational Computing and Electronic Commerce, 28 (2), 142–156. https://doi.org/10.1080/10919392.2018.1444350

Herce-Zelaya, J., Porcel, C., Bernabé-Moreno, J., Tejeda-Lorente, A., & Herrera-Viedma, E. (2020). New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Information Sciences, 536 , 156–170. https://doi.org/10.1016/j.ins.2020.05.071

Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004). Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22 (1), 5–53. https://doi.org/10.1145/963770.963772

Hernando, A., Bobadilla, J., Ortega, F., & Gutiérrez, A. (2017). A probabilistic model for recommending to new cold-start non-registered users. Information Sciences, 376 , 216–232. https://doi.org/10.1016/j.ins.2016.10.009

Hill, S., & Ready-Campbell, N. (2011). Expert Stock Picker: The Wisdom of (Experts in) Crowds. International Journal of Electronic Commerce, 15 (3), 73–102. https://doi.org/10.1093/JEC1086-4415150304

Himabindu, T. V. R., Padmanabhan, V., & Pujari, A. K. (2018). Conformal matrix factorization based recommender system. Information Sciences, 467 , 685–707. https://doi.org/10.1016/j.ins.2018.04.004

Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9 (1), 51. https://doi.org/10.3390/educsci9010051

Hirsch, J. E. (2010). An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85 (3), 741–754. https://doi.org/10.1007/s11192-010-0193-9

Hirt, R., Kühl, N., & Satzger, G. (2019). Cognitive computing for customer profiling: Meta classification for gender prediction. Electronic Markets, 29 (1), 93–106. https://doi.org/10.1007/s12525-019-00336-z

Hogenboom, A., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2015). Adaptive Tactical Pricing in Multi-Agent Supply Chain Markets Using Economic Regimes. Decision Sciences, 46 (4), 791–818. https://doi.org/10.1111/deci.12146

Holsapple, C. W., & Singh, M. (2000). Electronic commerce: From a definitional taxonomy toward a knowledge-management view. Journal of Organizational Computing and Electronic Commerce, 10 (3), 149–170. https://doi.org/10.1207/S15327744JOCE1003_01

Hong, W., Thong, J. Y. L., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers’ online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems, 21 (3), 149–184. https://doi.org/10.1080/07421222.2004.11045812

Hopkins, J., Kafali, Ö., Alrayes, B., & Stathis, K. (2019). Pirasa: Strategic protocol selection for e-commerce agents. Electronic Markets, 29 (2), 239–252. https://doi.org/10.1007/s12525-018-0307-4

Hu, Y.-C. (2014). Recommendation using neighborhood methods with preference-relation-based similarity. Information Sciences, 284 , 18–30. https://doi.org/10.1016/j.ins.2014.06.043

Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49 (1), 30–50. https://doi.org/10.3239/s11747-020-00749-9

Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21 (2), 155–172. https://doi.org/10.1177/1094670517752459

Huang, M. H., & Rust, R. T. (2020). Engaged to a robot? The role of AI in service. Journal of Service Research , 24(1), 30–41. https://doi.org/10.1177/1094670520902266

Huang, Z., Zeng, D., & Chen, H. (2007). A comparison of collaborative-filtering algorithms for ecommerce. IEEE Intelligent Systems, 22 (5), 68–78. https://doi.org/10.1109/MIS.2007.4338497

Huysman, M. (2020). Information systems research on artificial intelligence and work: A commentary on “Robo-Apocalypse cancelled? Reframing the automation and future of work debate.” Journal of Information Technology, 35 (4), 307–309. https://doi.org/10.1177/0268396220926511

Iovine, A., Narducci, F., & Semeraro, G. (2020). Conversational Recommender Systems and natural language: A study through the ConveRSE framework. Decision Support Systems, 131 , 113250. https://doi.org/10.1016/j.dss.2020.113250

Isinkaye, F. O., Folajimi, Y. O., & Ojokoh, B. A. (2015). Recommendation systems: Principles, methods and evaluation. Egyptian Informatics Journal, 16 (3), 261–273. https://doi.org/10.1016/j.eij.2015.06.005

Ito, T., Hattori, H., & Shintani, T. (2002). A cooperative exchanging mechanism among seller agents for group-based sales. Electronic Commerce Research and Applications, 1 (2), 138–149. https://doi.org/10.1016/S1567-4223(02)00010-8

Iwański, J., Suchacka, G., & Chodak, G. (2018). Application of the Information Bottleneck method to discover user profiles in a Web store. Journal of Organizational Computing and Electronic Commerce, 28 (2), 98–121. https://doi.org/10.1080/10919392.2018.1444340

Jannach, D., Manzoor, A., Cai, W., & Chen, L. (2021). A Survey on Conversational Recommender Systems. ACM Computing Surveys (CSUR), 54 (5), 1–36.

Jeong, W. S., Han, S. G., & Jo, G. S. (2003). Intelligent Cyber Logistics Using Reverse Auction in Electronic Commerce. Journal of Organizational Computing and Electronic Commerce, 13 (3–4), 191–209. https://doi.org/10.1207/s15327744joce133&4_03

Jeyaraj, A., & Zadeh, A. H. (2020). Evolution of information systems research: Insights from topic modeling. Information & Management, 57 (4), 103207. https://doi.org/10.1016/j.im.2019.103207

Ji, K., & Shen, H. (2015). Addressing cold-start: Scalable recommendation with tags and keywords. Knowledge-Based Systems, 83 , 42–50. https://doi.org/10.1016/j.knosys.2015.03.008

Ji, S., & juan, Zhang, Q., Li, J., Chiu, D. K. W., Xu, S., Yi, L., & Gong, M. (2020). A burst-based unsupervised method for detecting review spammer groups. Information Sciences, 536 , 454–469. https://doi.org/10.1016/j.ins.2020.05.084

Jiang, G., Ma, F., Shang, J., & Chau, P. Y. K. (2014). Evolution of knowledge sharing behavior in social commerce: An agent-based computational approach. Information Sciences, 278 , 250–266. https://doi.org/10.1016/j.ins.2014.03.051

Jiang, Z., Mookerjee, V. S., & Sarkar, S. (2005). Lying on the web: Implications for expert systems redesign. Information Systems Research, 16 (2), 131–148. https://doi.org/10.1287/isre.1050.0046

Jøsang, A., Ismail, R., & Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decision Support Systems, 43 (2), 618–644. https://doi.org/10.1016/j.dss.2005.05.019

Julià, C., Sappa, A. D., Lumbreras, F., Serrat, J., & López, A. (2009). Predicting Missing Ratings in Recommender Systems: Adapted Factorization Approach. International Journal of Electronic Commerce, 14 (2), 89–108. https://doi.org/10.1093/JEC1086-4415140203

Kagan, S., & Bekkerman, R. (2018). Predicting Purchase Behavior of Website Audiences. International Journal of Electronic Commerce, 22 (4), 510–539. https://doi.org/10.0456/10864415.2018.1485084

Kaiser, C., Schlick, S., & Bodendorf, F. (2011). Warning system for online market research - Identifying critical situations in online opinion formation. Knowledge-Based Systems, 24 (6), 824–836. https://doi.org/10.1016/j.knosys.2011.03.004

Kalakota, R., & Whinston, A. B. (1997). Electronic commerce: a manager’s guide . Addison-Wesley Professional.

Kandula, S., Krishnamoorthy, S., & Roy, D. (2021). A prescriptive analytics framework for efficient E-commerce order delivery. Decision Support Systems, 147 , 113584. https://doi.org/10.1016/j.dss.2021.113584

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62 (1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004

Kauffman, R. J., Kim, K., Lee, S.-Y.T., Hoang, A.-P., & Ren, J. (2017). Combining machine-based and econometrics methods for policy analytics insights. Electronic Commerce Research and Applications, 25 , 115–140. https://doi.org/10.1016/j.elerap.2017.04.004

Kazienko, P., & Adamski, M. (2007). AdROSA-Adaptive personalization of web advertising. Information Sciences, 177 (11), 2269–2295. https://doi.org/10.1016/j.ins.2007.01.002

Keegan, S., O’Hare, G. M. P., & O’Grady, M. J. (2008). Easishop: Ambient intelligence assists everyday shopping. Information Sciences, 178 (3), 588–611. https://doi.org/10.1016/j.ins.2007.08.027

Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2012). Real-Time tactical and strategic sales management for intelligent agents guided by economic regimes. Information Systems Research, 23 (4), 1263–1283. https://doi.org/10.1287/isre.1110.0415

Khare, V. R., & Chougule, R. (2012). Decision support for improved service effectiveness using domain aware text mining. Knowledge-Based Systems, 33 , 29–40. https://doi.org/10.1016/j.knosys.2012.03.005

Khopkar, S. S., & Nikolaev, A. G. (2017). Predicting long-term product ratings based on few early ratings and user base analysis. Electronic Commerce Research and Applications, 21 , 38–49. https://doi.org/10.1016/j.elerap.2016.12.002

Kiekintveld, C., Miller, J., Jordan, P. R., Callender, L. F., & Wellman, M. P. (2009). Forecasting market prices in a supply chain game. Electronic Commerce Research and Applications, 8 (2), 63–77. https://doi.org/10.1016/j.elerap.2008.11.005

Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58 (3), 263–267. https://doi.org/10.2501/JAR-2018-035

Kim, D. J., Song, Y. I., Braynov, S. B., & Rao, H. R. (2005a). A multidimensional trust formation model in B-to-C e-commerce: A conceptual framework and content analyses of academia/practitioner perspectives. Decision Support Systems, 40 (2), 143–165. https://doi.org/10.1016/j.dss.2004.01.006

Kim, D., Park, C., Oh, J., & Yu, H. (2017). Deep hybrid recommender systems via exploiting document context and statistics of items. Information Sciences, 417 , 72–87. https://doi.org/10.1016/j.ins.2017.06.026

Kim, J. W., Lee, B. H., Shaw, M. J., Chang, H. L., & Nelson, M. (2001). Application of decision-tree induction techniques to personalized advertisements on internet storefronts. International Journal of Electronic Commerce, 5 (3), 45–62. https://doi.org/10.1080/10864415.2001.11044215

Kim, K., & Ahn, H. (2008). A recommender system using GA K-means clustering in an online shopping market. Expert Systems with Applications, 34 (2), 1200–1209. https://doi.org/10.1016/j.eswa.2006.12.025

Kim, W., Kerschberg, L., & Scime, A. (2002). Learning for automatic personalization in a semantic taxonomy-based meta-search agent. Electronic Commerce Research and Applications, 1 (2), 150–173. https://doi.org/10.1016/S1567-4223(02)00011-X

Kim, Y. S., Yum, B. J., Song, J., & Kim, S. M. (2005b). Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites. Expert Systems with Applications, 28 (2), 381–393. https://doi.org/10.1016/j.eswa.2004.10.017

Klaus, T., & Changchit, C. (2019). Toward an Understanding of Consumer Attitudes on Online Review Usage. Journal of Computer Information Systems, 59 (3), 277–286. https://doi.org/10.1080/08874417.2017.1348916

Knorr, E. M., Ng, R. T., & Tucakov, V. (2000). Distance-based outliers: Algorithms and applications. The VLDB Journal, 8 (3), 237–253. https://doi.org/10.1007/s007780050006

Kohavi, R., Longbotham, R., Sommerfield, D., & Henne, R. M. (2009). Controlled experiments on the web: Survey and practical guide. Data Mining and Knowledge Discovery, 18 (1), 140–181. https://doi.org/10.1007/s10618-008-0114-1

Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R., & Riedl, J. (1997). Applying Collaborative Filtering to Usenet News. Communications of the ACM, 40 (3), 77–87. https://doi.org/10.1145/245108.245126

Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques for Recommender Systems. Computer, 42 (8), 30–37. https://doi.org/10.1109/MC.2009.263

Kühl, N., Mühlthaler, M., & Goutier, M. (2020). Supporting customer-oriented marketing with artificial intelligence: Automatically quantifying customer needs from social media. Electronic Markets, 30 (2), 351–367. https://doi.org/10.1007/s12525-019-00351-0

Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2018). Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning. Journal of Management Information Systems, 35 (1), 350–380. https://doi.org/10.1080/07421222.2018.1440758

Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2019a). Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models. Journal of Management Information Systems, 36 (4), 1313–1346. https://doi.org/10.1080/07421222.2019.1661089

Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019b). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61 (4), 135–155. https://doi.org/10.1177/0008125619859317

Kuo, R. J., Chang, K., & Chien, S. Y. (2004). Integration of Self-Organizing Feature Maps and Genetic-Algorithm-Based Clustering Method for Market Segmentation. Journal of Organizational Computing and Electronic Commerce, 14 (1), 43–60. https://doi.org/10.1207/s15327744joce1401_3

Kuo, R. J., Liao, J. L., & Tu, C. (2005). Integration of ART2 neural network and genetic K-means algorithm for analyzing Web browsing paths in electronic commerce. Decision Support Systems, 40 (2), 355–374. https://doi.org/10.1016/j.dss.2004.04.010

Kwon, O., Yoo, K., & Suh, E. (2006). ubiES: Applying ubiquitous computing technologies to an expert system for context-aware proactive services. Electronic Commerce Research and Applications, 5 (3), 209–219. https://doi.org/10.1016/j.elerap.2005.10.011

Laorden, C., Santos, I., Sanz, B., Alvarez, G., & Bringas, P. G. (2012). Word sense disambiguation for spam filtering. Electronic Commerce Research and Applications, 11 (3), 290–298. https://doi.org/10.1016/j.elerap.2011.11.004

Lau, R. Y. K. (2007). Towards a web services and intelligent agents-based negotiation system for B2B eCommerce. Electronic Commerce Research and Applications, 6 (3), 260–273. https://doi.org/10.1016/j.elerap.2006.06.007

Law, R., Leung, R., & Buhalis, D. (2009). Information technology applications in hospitality and tourism: A review of publications from 2005 to 2007. Journal of Travel and Tourism Marketing, 26 (5–6), 599–623. https://doi.org/10.1080/10548400903163160

Lawrence, R. D., Almasi, G. S., Kotlyar, V., Viveros, M. S., & Duri, S. S. (2001). Personalization of supermarket product recommendations. In Data Mining and Knowledge Discovery (Vol. 5, Issues 1–2, pp. 11–32). Springer. https://doi.org/10.1023/A:1009835726774

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521 (7553), 436–444.

Lee, D., & Hosanagar, K. (2021). How do product attributes and reviews moderate the impact of recommender systems through purchase stages? Management Science, 67 (1), 524–546. https://doi.org/10.1287/mnsc.2019.3546

Lee, D., Gopal, A., & Park, S. H. (2020). Different but equal? a field experiment on the impact of recommendation systems on mobile and personal computer channels in retail. Information Systems Research, 31 (3), 892–912. https://doi.org/10.1287/ISRE.2020.0922

Lee, H.-C., Rim, H.-C., & Lee, D.-G. (2019). Learning to rank products based on online product reviews using a hierarchical deep neural network. Electronic Commerce Research and Applications, 36 , 100874. https://doi.org/10.1016/j.elerap.2019.100874

Lee, J., Podlaseck, M., Schonberg, E., & Hoch, R. (2001). Visualization and analysis of clickstream data of online stores for understanding web merchandising. Data Mining and Knowledge Discovery, 5 (1–2), 59–84. https://doi.org/10.1023/A:1009843912662

Lee, S. K., Cho, Y. H., & Kim, S. H. (2010). Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations. Information Sciences, 180 (11), 2142–2155. https://doi.org/10.1016/j.ins.2010.02.004

Lee, S., & Kim, W. (2017). Sentiment labeling for extending initial labeled data to improve semi-supervised sentiment classification. Electronic Commerce Research and Applications, 26 , 35–49. https://doi.org/10.1016/j.elerap.2017.09.006

Lee, Y. H., Hu, P. J. H., Cheng, T. H., & Hsieh, Y. F. (2012). A cost-sensitive technique for positive-example learning supporting content-based product recommendations in B-to-C e-commerce. Decision Support Systems, 53 (1), 245–256. https://doi.org/10.1016/j.dss.2012.01.018

Leloup, B. (2003). Pricing with local interactions on agent-based electronic marketplaces. Electronic Commerce Research and Applications, 2 (2), 187–198. https://doi.org/10.1016/S1567-4223(03)00023-1

Lessmann, S., Haupt, J., Coussement, K., & De Bock, K. W. (2019). Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Information Sciences . https://doi.org/10.1016/j.ins.2019.05.027

Li, H., Su, S. Y. W., & Lam, H. (2006). On automated e-business negotiations: Goal, policy, strategy, and plans of decision and action. Journal of Organizational Computing and Electronic Commerce, 16 (1), 1–29. https://doi.org/10.1080/10919390609540288

Li, J., Chen, C., Chen, H., & Tong, C. (2017). Towards Context-aware Social Recommendation via Individual Trust. Knowledge-Based Systems, 127 , 58–66. https://doi.org/10.1016/j.knosys.2017.02.032

Li, S., Zhang, Y., Yu, Z., Zhang, F., & Lu, H. (2019a). Predicting the influence of viral message for VM campaign on Weibo. Electronic Commerce Research and Applications, 36 , 100875. https://doi.org/10.1016/j.elerap.2019.100875

Li, X., Wu, C., & Mai, F. (2019b). The effect of online reviews on product sales: A joint sentiment-topic analysis. Information & Management, 56 (2), 172–184. https://doi.org/10.1016/j.im.2018.04.007

Li, Y.-M., Chou, C.-L., & Lin, L.-F. (2014). A social recommender mechanism for location-based group commerce. Information Sciences, 274 , 125–142. https://doi.org/10.1016/j.ins.2014.02.079

Li, Y. M., Wu, C. T., & Lai, C. Y. (2013). A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship. Decision Support Systems, 55 (3), 740–752. https://doi.org/10.1016/j.dss.2013.02.009

Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T., & Cambria, E. (2019c). Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowledge-Based Systems, 172 , 64–75. https://doi.org/10.1016/j.knosys.2019.02.012

Li, Yu., Lu, L., & Xuefeng, L. (2005). A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce. Expert Systems with Applications, 28 (1), 67–77. https://doi.org/10.1016/j.eswa.2004.08.013

Liang, R., Wang, J., & qiang. (2019). A Linguistic Intuitionistic Cloud Decision Support Model with Sentiment Analysis for Product Selection in E-commerce. International Journal of Fuzzy Systems, 21 (3), 963–977. https://doi.org/10.1007/s40815-019-00606-0

Liebman, E., Saar-Tsechansky, M., & Stone, P. (2019). The right music at the right time: Adaptive personalized playlists based on sequence modeling. MIS Quarterly, 43 (3), 765–786. https://doi.org/10.25300/MISQ/2019/14750

Lin, Q.-Y., Chen, Y.-L., Chen, J.-S., & Chen, Y.-C. (2003). Mining inter-organizational retailing knowledge for an alliance formed by competitive firms. Information & Management, 40 (5), 431–442. https://doi.org/10.1016/S0378-7206(02)00062-9

Lin, W., Alvarez, S. A., & Ruiz, C. (2002). Efficient Adaptive-Support Association Rule Mining for Recommender Systems. Data Mining and Knowledge Discovery, 6 (1), 83–105. https://doi.org/10.1023/A:1013284820704

Lin, W. H., Wang, P., & Tsai, C. F. (2016). Face recognition using support vector model classifier for user authentication. Electronic Commerce Research and Applications, 18 , 71–82. https://doi.org/10.1016/j.elerap.2016.01.005

Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 7 (1), 76–80. https://doi.org/10.1109/MIC.2003.1167344

Liu, B., Hu, M., & Cheng, J. (2005). Opinion observer. Proceedings of the 14th International Conference on World Wide Web , 342. https://doi.org/10.1145/1060745.1060797

Liu, D.-R., Chen, K.-Y., Chou, Y.-C., & Lee, J.-H. (2018). Online recommendations based on dynamic adjustment of recommendation lists. Knowledge-Based Systems, 161 , 375–389. https://doi.org/10.1016/j.knosys.2018.07.038

Liu, H., Jiang, Z., Song, Y., Zhang, T., & Wu, Z. (2019). User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. Knowledge-Based Systems, 181 , 104784. https://doi.org/10.1016/j.knosys.2019.05.027

Liu, K., Zeng, X., Bruniaux, P., Wang, J., Kamalha, E., & Tao, X. (2017). Fit evaluation of virtual garment try-on by learning from digital pressure data. Knowledge-Based Systems, 133 , 174–182. https://doi.org/10.1016/j.knosys.2017.07.007

Liu, N., & Shen, B. (2020). Aspect-based sentiment analysis with gated alternate neural network. Knowledge-Based Systems, 188 , 105010. https://doi.org/10.1016/j.knosys.2019.105010

Liu, R., Mai, F., Shan, Z., & Wu, Y. (2020). Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach. Information & Management, 57 (8), 103387. https://doi.org/10.1016/j.im.2020.103387

Liu, X., Datta, A., & Rzadca, K. (2013). Trust beyond reputation: A computational trust model based on stereotypes. Electronic Commerce Research and Applications, 12 (1), 24–39. https://doi.org/10.1016/j.elerap.2012.07.001

Lowry, P. B., Moody, G. D., Gaskin, J., Galletta, D. F., Humpherys, S. L., Barlow, J. B., & Wilson, D. W. (2013). Evaluating journal quality and the association for information systems senior scholars’ journal basket via bibliometric measures: Do expert journal assessments add value? MIS Quarterly, 37 (4), 993–1012. https://doi.org/10.25300/MISQ/2013/37.4.01

Lowry, P., Romans, D., & Curtis, A. (2004). Global Journal Prestige and Supporting Disciplines: A Scientometric Study of Information Systems Journals. Journal of the Association for Information Systems, 5 (2), 29–77. https://doi.org/10.17705/1jais.00045

Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. (2015). Recommender system application developments: A survey. Decision Support Systems, 74 , 12–32. https://doi.org/10.1016/j.dss.2015.03.008

Luo, X., Lu, X., & Li, J. (2019). When and How to Leverage E-commerce Cart Targeting: The relative and moderated effects of scarcity and price incentives with a two-stage field experiment and causal forest optimization. Information Systems Research, 30 (4), 1203–1227. https://doi.org/10.1287/isre.2019.0859

Lyytinen, K., Nickerson, J. V, & King, J. L. (2020). Metahuman systems = humans + machines that learn. Journal of Information Technology , 36 (4), 427–445. https://doi.org/10.1177/0268396220915917

Ma, X., Sha, J., Wang, D., Yu, Y., Yang, Q., & Niu, X. (2018). Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning. Electronic Commerce Research and Applications, 31 , 24–39. https://doi.org/10.1016/j.elerap.2018.08.002

Ma, Z., Pant, G., & Sheng, O. R. L. (2011). Mining competitor relationships from online news: A network-based approach. Electronic Commerce Research and Applications, 10 (4), 418–427. https://doi.org/10.1016/j.elerap.2010.11.006

Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90 , 46–60. https://doi.org/10.1016/j.futures.2017.03.006

Manahov, V., & Zhang, H. (2019). Forecasting Financial Markets Using High-Frequency Trading Data: Examination with Strongly Typed Genetic Programming. International Journal of Electronic Commerce, 23 (1), 12–32. https://doi.org/10.1080/10864415.2018.1512271

Manthiou, A., Klaus, P., Kuppelwieser, V. G., & Reeves, W. (2021). Man vs machine: Examining the three themes of service robotics in tourism and hospitality. Electronic Markets, 31 (3), 511–527. https://doi.org/10.1007/s12525-020-00434-3

Manvi, S. S., & Venkataram, P. (2005). An intelligent product-information presentation in E-commerce. Electronic Commerce Research and Applications, 4 (3), 220–239. https://doi.org/10.1016/j.elerap.2005.01.001

Mao, M., Lu, J., Han, J., & Zhang, G. (2019). Multiobjective e-commerce recommendations based on hypergraph ranking. Information Sciences, 471 , 269–287. https://doi.org/10.1016/j.ins.2018.07.029

Maqsood, H., Mehmood, I., Maqsood, M., Yasir, M., Afzal, S., Aadil, F., Selim, M. M., & Muhammad, K. (2020). A local and global event sentiment based efficient stock exchange forecasting using deep learning. International Journal of Information Management, 50 , 432–451. https://doi.org/10.1016/j.ijinfomgt.2019.07.011

Marabelli, M., Newell, S., & Handunge, V. (2021). The lifecycle of algorithmic decision-making systems: Organizational choices and ethical challenges. The Journal of Strategic Information Systems, 30 (3), 101683. https://doi.org/10.1016/j.jsis.2021.101683

Martens, D., & Provost, F. (2014). Explaining data-driven document classifications. MIS Quarterly, 38 (1), 73–99. https://doi.org/10.25300/MISQ/2014/38.1.04

Martinez-Cruz, C., Porcel, C., Bernabé-Moreno, J., & Herrera-Viedma, E. (2015). A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. Information Sciences, 311 , 102–118. https://doi.org/10.1016/j.ins.2015.03.013

Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65 (4), 751–764. https://doi.org/10.1002/asi.23089

McAuley, J., Targett, C., Shi, Q., & Van Den Hengel, A. (2015). Image-based recommendations on styles and substitutes. SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval , 43–52. https://doi.org/10.1145/2766462.2767755

Milian, E. Z., de Spinola, M., & M., & Carvalho, M. M. d. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34 , 100833. https://doi.org/10.1016/j.elerap.2019.100833

Miralles-Pechuán, L., Ponce, H., & Martínez-Villaseñor, L. (2018). A novel methodology for optimizing display advertising campaigns using genetic algorithms. Electronic Commerce Research and Applications, 27 , 39–51. https://doi.org/10.1016/j.elerap.2017.11.004

Mo, J., Sarkar, S., & Menon, S. (2018). Know when to run: Recommendations in crowdsourcing contests. MIS Quarterly, 42 (3), 919–943. https://doi.org/10.25300/MISQ/2018/14103

Mokryn, O., Bogina, V., & Kuflik, T. (2019). Will this session end with a purchase? Inferring current purchase intent of anonymous visitors. Electronic Commerce Research and Applications, 34 , 100836. https://doi.org/10.1016/j.elerap.2019.100836

Motiwalla, L. F., & Nunamaker, J. F. (1992). Mail-man: A knowledge-based mail assistant for managers. Journal of Organizational Computing, 2 (2), 131–154. https://doi.org/10.1080/10919399209540179

Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2020). How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents. Electronic Markets . https://doi.org/10.1007/s12525-020-00411-w

Nassiri-Mofakham, F., Nematbakhsh, M. A., Baraani-Dastjerdi, A., & Ghasem-Aghaee, N. (2009). Electronic promotion to new customers using mkNN learning. Information Sciences, 179 (3), 248–266. https://doi.org/10.1016/j.ins.2008.09.019

Neuhofer, B., Magnus, B., & Celuch, K. (2021). The impact of artificial intelligence on event experiences: A scenario technique approach. Electronic Markets, 31 (3), 601–617. https://doi.org/10.1007/s12525-020-00433-4

Ngai, E. W. T., & Wat, F. K. T. (2002). A literature review and classification of electronic commerce research. Information and Management, 39 (5), 415–429. https://doi.org/10.1016/S0378-7206(01)00107-0

Ngai, E. W. T., Lee, M. C. M., Luo, M., Chan, P. S. L., & Liang, T. (2021). An intelligent knowledge-based chatbot for customer service. Electronic Commerce Research and Applications, 50 , 101098. https://doi.org/10.1016/j.elerap.2021.101098

Nikolay, A., Anindya, G., & Panagiotis, G. I. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57 (8), 1485–1509. https://doi.org/10.1287/mnsc.1110.1370

Nilashi, M., & bin Ibrahim, O., Ithnin, N., & Sarmin, N. H. (2015). A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS. Electronic Commerce Research and Applications, 14 (6), 542–562. https://doi.org/10.1016/j.elerap.2015.08.004

Nishimura, N., Sukegawa, N., Takano, Y., & Iwanaga, J. (2018). A latent-class model for estimating product-choice probabilities from clickstream data. Information Sciences, 429 , 406–420. https://doi.org/10.1016/j.ins.2017.11.014

Núñez-Valdez, E. R., Quintana, D., González Crespo, R., Isasi, P., & Herrera-Viedma, E. (2018). A recommender system based on implicit feedback for selective dissemination of ebooks. Information Sciences, 467 , 87–98. https://doi.org/10.1016/j.ins.2018.07.068

O’Donovan, J., & Smyth, B. (2005). Trust in recommender systems. International Conference on Intelligent User Interfaces, Proceedings IUI , 167–174. https://doi.org/10.1145/1040830.1040870

O’Neil, S., Zhao, X., Sun, D., & Wei, J. C. (2016). Newsvendor Problems with Demand Shocks and Unknown Demand Distributions. Decision Sciences, 47 (1), 125–156. https://doi.org/10.1111/deci.12187

Oliver, J. R. (1996). A Machine-Learning Approach to Automated Negotiation and Prospects for Electronic Commerce. Journal of Management Information Systems, 13 (3), 83–112. https://doi.org/10.1080/07421222.1996.11518135

Ortega, F., Hernando, A., Bobadilla, J., & Kang, J. H. (2016). Recommending items to group of users using Matrix Factorization based Collaborative Filtering. Information Sciences, 345 , 313–324. https://doi.org/10.1016/j.ins.2016.01.083

Ortega, F., Sánchez, J. L., Bobadilla, J., & Gutiérrez, A. (2013). Improving collaborative filtering-based recommender systems results using Pareto dominance. Information Sciences, 239 , 50–61. https://doi.org/10.1016/j.ins.2013.03.011

Ou, W., Huynh, V.-N., & Sriboonchitta, S. (2018). Training attractive attribute classifiers based on opinion features extracted from review data. Electronic Commerce Research and Applications, 32 , 13–22. https://doi.org/10.1016/j.elerap.2018.10.003

Padmanabhan, B., & Tuzhilin, A. (2003). On the use of optimization for data mining: Theoretical interactions and eCRM opportunities. Management Science, 49 (10), 1327–1343. https://doi.org/10.1287/mnsc.49.10.1327.17310

Pang, G., Wang, X., Hao, F., Xie, J., Wang, X., Lin, Y., & Qin, X. (2019). ACNN-FM: A novel recommender with attention-based convolutional neural network and factorization machines. Knowledge-Based Systems, 181 , 104786. https://doi.org/10.1016/j.knosys.2019.05.029

Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55 , 102096. https://doi.org/10.1016/j.jretconser.2020.102096

Paré, G., Trudel, M. C., Jaana, M., & Kitsiou, S. (2015). Synthesizing information systems knowledge: A typology of literature reviews. Information and Management, 52 (2), 183–199. https://doi.org/10.1016/j.im.2014.08.008

Park, C., Kim, D., Yang, M. C., Lee, J. T., & Yu, H. (2020a). Click-aware purchase prediction with push at the top. Information Sciences, 521 , 350–364. https://doi.org/10.1016/j.ins.2020.02.062

Park, C., Kim, D., & Yu, H. (2019). An encoder–decoder switch network for purchase prediction. Knowledge-Based Systems, 185 , 104932. https://doi.org/10.1016/j.knosys.2019.104932

Park, H., Song, M., & Shin, K.-S. (2020b). Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories. Knowledge-Based Systems, 187 , 104825. https://doi.org/10.1016/j.knosys.2019.06.033

Park, J. H., & Park, S. C. (2003). Agent-based merchandise management in business-to-business electronic commerce. Decision Support Systems, 35 (3), 311–333. https://doi.org/10.1016/S0167-9236(02)00111-2

Parvin, H., Moradi, P., Esmaeili, S., & Qader, N. N. (2019). A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method. Knowledge-Based Systems, 166 , 92–107. https://doi.org/10.1016/j.knosys.2018.12.016

Patcha, A., & Park, J.-M. (2007). An overview of anomaly detection techniques: Existing solutions and latest technological trends. Computer Networks, 51 (12), 3448–3470. https://doi.org/10.1016/j.comnet.2007.02.001

Patra, B. K., Launonen, R., Ollikainen, V., & Nandi, S. (2015). A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data. Knowledge-Based Systems, 82 , 163–177. https://doi.org/10.1016/j.knosys.2015.03.001

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12 , 2825–2830.

Pendharkar, P. C. (2006). Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences. Journal of Organizational Computing and Electronic Commerce, 16 (3–4), 223–245. https://doi.org/10.1080/10919392.2006.9681201

Pengnate (Fone), S., & Riggins, F. J. (2020). The role of emotion in P2P microfinance funding: A sentiment analysis approach. International Journal of Information Management, 54 , 102138. https://doi.org/10.1016/j.ijinfomgt.2020.102138

Pfeiffer, J., Pfeiffer, T., Meißner, M., & Weiß, E. (2020). Eye-tracking-based classification of information search behavior using machine learning: Evidence from experiments in physical shops and virtual reality shopping environments. Information Systems Research, 31 (3), 675–691. https://doi.org/10.1287/ISRE.2019.0907

Pontelli, E., & Son, T. C. (2003). Designing intelligent agents to support universal accessibility of E-commerce services. Electronic Commerce Research and Applications, 2 (2), 147–161. https://doi.org/10.1016/S1567-4223(03)00012-7

Pourgholamali, F., Kahani, M., & Bagheri, E. (2020). A neural graph embedding approach for selecting review sentences. Electronic Commerce Research and Applications, 40 , 100917. https://doi.org/10.1016/j.elerap.2019.100917

Pourkhani, A., Abdipour, K., Baher, B., & Moslehpour, M. (2019). The impact of social media in business growth and performance: A scientometrics analysis. International Journal of Data and Network Science, 3 (3), 223–244. https://doi.org/10.5267/j.ijdns.2019.2.003

Praet, S., & Martens, D. (2020). Efficient Parcel Delivery by Predicting Customers’ Locations*. Decision Sciences, 51 (5), 1202–1231. https://doi.org/10.1111/deci.12376

Pranata, I., & Susilo, W. (2016). Are the most popular users always trustworthy? The case of Yelp. Electronic Commerce Research and Applications, 20 , 30–41. https://doi.org/10.1016/j.elerap.2016.09.005

Preibusch, S., Peetz, T., Acar, G., & Berendt, B. (2016). Shopping for privacy: Purchase details leaked to PayPal. Electronic Commerce Research and Applications, 15 , 52–64. https://doi.org/10.1016/j.elerap.2015.11.004

Pröllochs, N., Feuerriegel, S., Lutz, B., & Neumann, D. (2020). Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations. Information Sciences, 536 , 205–221. https://doi.org/10.1016/j.ins.2020.05.022

Pu, P., & Chen, L. (2007). Trust-inspiring explanation interfaces for recommender systems. Knowledge-Based Systems, 20 (6), 542–556. https://doi.org/10.1016/j.knosys.2007.04.004

Pujahari, A., & Sisodia, D. S. (2019). Modeling Side Information in Preference Relation based Restricted Boltzmann Machine for recommender systems. Information Sciences, 490 , 126–145. https://doi.org/10.1016/j.ins.2019.03.064

Qi, J., Zhang, Z., Jeon, S., & Zhou, Y. (2016). Mining customer requirements from online reviews: A product improvement perspective. Information and Management, 53 (8), 951–963. https://doi.org/10.1016/j.im.2016.06.002

Qiu, J., Liu, C., Li, Y., & Lin, Z. (2018). Leveraging sentiment analysis at the aspects level to predict ratings of reviews. Information Sciences, 451–452 , 295–309. https://doi.org/10.1016/j.ins.2018.04.009

Rahm, E., & Bernstein, P. A. (2001). A survey of approaches to automatic schema matching. VLDB Journal, 10 (4), 334–350. https://doi.org/10.1007/s007780100057

Ranjbar Kermany, N., & Alizadeh, S. H. (2017). A hybrid multi-criteria recommender system using ontology and neuro-fuzzy techniques. Electronic Commerce Research and Applications, 21 , 50–64. https://doi.org/10.1016/j.elerap.2016.12.005

Rao, Y., Xie, H., Li, J., Jin, F., Wang, F. L., & Li, Q. (2016). Social emotion classification of short text via topic-level maximum entropy model. Information and Management, 53 (8), 978–986. https://doi.org/10.1016/j.im.2016.04.005

Ravi, K., & Ravi, V. (2015). A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Knowledge-Based Systems, 89 , 14–46. https://doi.org/10.1016/j.knosys.2015.06.015

Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994). GroupLens: An open architecture for collaborative filtering of netnews. Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, CSCW 1994 , 175–186. https://doi.org/10.1145/192844.192905

Resnick, P., & Varian, H. R. (1997). Recommender Systems. Communications of the ACM, 40 (3), 56–58. https://doi.org/10.1145/245108.245121

Rhaiem, M., & Bornmann, L. (2018). Reference Publication Year Spectroscopy (RPYS) with publications in the area of academic efficiency studies: What are the historical roots of this research topic? Applied Economics, 50 (13), 1442–1453. https://doi.org/10.1080/00036846.2017.1363865

Ricci, F., Rokach, L., & Shapira, B. (2011). Introduction to recommender systems handbook. In Recommender systems handbook (pp. 1–35). Springer.

Ryoba, M. J., Qu, S., & Zhou, Y. (2021). Feature subset selection for predicting the success of crowdfunding project campaigns. Electronic Markets, 31 (3), 671–684. https://doi.org/10.1007/s12525-020-00398-4

Sabater, J., & Sierra, C. (2005). Review on computational trust and reputation models. Artificial Intelligence Review, 24 (1), 33–60. https://doi.org/10.1007/s10462-004-0041-5

Salakhutdinov, R., Mnih, A., & Hinton, G. (2007). Restricted Boltzmann machines for collaborative filtering. ACM International Conference Proceeding Series, 227 , 791–798. https://doi.org/10.1145/1273496.1273596

Saleh, A. I., El Desouky, A. I., & Ali, S. H. (2015). Promoting the performance of vertical recommendation systems by applying new classification techniques. Knowledge-Based Systems, 75 , 192–223. https://doi.org/10.1016/j.knosys.2014.12.002

Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th International Conference on World Wide Web, WWW 2001 , 285–295. https://doi.org/10.1145/371920.372071

Saumya, S., Singh, J. P., Baabdullah, A. M., Rana, N. P., & Dwivedi, Y. K. (2018). Ranking online consumer reviews. Electronic Commerce Research and Applications, 29 , 78–89. https://doi.org/10.1016/j.elerap.2018.03.008

Schafer, J. B., Konstan, J. A., & Riedl, J. (2001). E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery, 5 (1), 115–153. https://doi.org/10.1023/A:1009804230409

Schmidhuber, J. (2015). Deep Learning in neural networks: An overview. Neural Networks, 61 , 85–117. https://doi.org/10.1016/j.neunet.2014.09.003

Shani, G., Heckerman, D., & Brafman, R. I. (2005). An MDP-based recommender system. Journal of Machine Learning Research, 6 (Sep), 1265–1295.

Shardanand, U., & Maes, P. (1995). Social information filtering. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , 210–217. https://doi.org/10.1145/223904.223931

Shi, Y., Wang, T., & Alwan, L. C. (2020). Analytics for Cross-Border E-Commerce: Inventory Risk Management of an Online Fashion Retailer. Decision Sciences, 51 (6), 1347–1376. https://doi.org/10.1111/deci.12429

Si, Y., Zhang, F., & Liu, W. (2017). CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features. Knowledge-Based Systems, 128 , 59–70. https://doi.org/10.1016/j.knosys.2017.04.013

Singh, A., & Tucker, C. S. (2017). A machine learning approach to product review disambiguation based on function, form and behavior classification. Decision Support Systems, 97 , 81–91. https://doi.org/10.1016/j.dss.2017.03.007

Sohn, K., & Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47 , 101324. https://doi.org/10.1016/j.tele.2019.101324

Song, S., Hwang, K., Zhou, R., & Kwok, Y. K. (2005). Trusted P2P transactions with fuzzy reputation aggregation. IEEE Internet Computing, 9 (6), 24–34. https://doi.org/10.1109/MIC.2005.136

Stöckli, D. R., & Khobzi, H. (2021). Recommendation systems and convergence of online reviews: The type of product network matters! Decision Support Systems, 142 , 113475. https://doi.org/10.1016/j.dss.2020.113475

Stoeckli, E., Dremel, C., Uebernickel, F., & Brenner, W. (2020). How affordances of chatbots cross the chasm between social and traditional enterprise systems. Electronic Markets, 30 (2), 369–403. https://doi.org/10.1007/s12525-019-00359-6

Su, X., & Khoshgoftaar, T. M. (2009). A Survey of Collaborative Filtering Techniques. Advances in Artificial Intelligence, 2009 , 1–19. https://doi.org/10.1155/2009/421425

Suchacka, G., & Iwański, J. (2020). Identifying legitimate Web users and bots with different traffic profiles — an Information Bottleneck approach. Knowledge-Based Systems, 197 , 105875. https://doi.org/10.1016/j.knosys.2020.105875

Sul, H. K., Dennis, A. R., & Yuan, L. I. (2017). Trading on Twitter: Using Social Media Sentiment to Predict Stock Returns. Decision Sciences, 48 (3), 454–488. https://doi.org/10.1111/deci.12229

Sun, Y., Liu, X., Chen, G., Hao, Y., & Zhang (Justin), Z. (2020). How mood affects the stock market: Empirical evidence from microblogs. Information & Management, 57 (5), 103181. https://doi.org/10.1016/j.im.2019.103181

Sung (Christine), E., Bae, S., Han, D.-I.D., & Kwon, O. (2021). Consumer engagement via interactive artificial intelligence and mixed reality. International Journal of Information Management, 60 , 102382. https://doi.org/10.1016/j.ijinfomgt.2021.102382

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015). Going deeper with convolutions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 , 1–9. https://doi.org/10.1109/CVPR.2015.7298594

Takeuchi, H., Subramaniam, L. V., Nasukawa, T., & Roy, S. (2009). Getting insights from the voices of customers: Conversation mining at a contact center. Information Sciences, 179 (11), 1584–1591. https://doi.org/10.1016/j.ins.2008.11.026

Tan, F. T. C., Pan, S. L., & Zuo, M. (2019). Realising platform operational agility through information technology–enabled capabilities: A resource-interdependence perspective. Information Systems Journal, 29 (3), 582–608. https://doi.org/10.0487/isj.12221

Tan, J., Tyler, K., & Manica, A. (2007). Business-to-business adoption of eCommerce in China. Information & Management, 44 (3), 332–351. https://doi.org/10.1016/j.im.2007.04.001

Tan, P.-N., & Kumar, V. (2002). Discovery of Web Robot Sessions Based on their Navigational Patterns. Data Mining and Knowledge Discovery, 6 (1), 9–35. https://doi.org/10.1023/A:1013228602957

Tan, Y.-H., & Thoen, W. (2000). INCAS: A legal expert system for contract terms in electronic commerce. Decision Support Systems, 29 (4), 389–411. https://doi.org/10.1016/S0167-9236(00)00085-3

Tang, P., Qiu, W., Huang, Z., Chen, S., Yan, M., Lian, H., & Li, Z. (2020). Anomaly detection in electronic invoice systems based on machine learning. Information Sciences, 535 , 172–186. https://doi.org/10.1016/j.ins.2020.03.089

Templier, M., & Paré, G. (2015). A framework for guiding and evaluating literature reviews. Communications of the Association for Information Systems, 37 (1), 112–137. https://doi.org/10.17705/1CAIS.03706

Thiebes, S., Lins, S., & Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic Markets, 31 (2). https://doi.org/10.1007/s12525-020-00441-4

Tian, F., Wu, F., Chao, K. M., Zheng, Q., Shah, N., Lan, T., & Yue, J. (2016). A topic sentence-based instance transfer method for imbalanced sentiment classification of Chinese product reviews. Electronic Commerce Research and Applications, 16 , 66–76. https://doi.org/10.1016/j.elerap.2015.10.003

Tran, B., Vu, G., Ha, G., Vuong, Q.-H., Ho, M.-T., Vuong, T.-T., La, V.-P., Ho, M.-T., Nghiem, K.-C., Nguyen, H., Latkin, C., Tam, W., Cheung, N.-M., Nguyen, H.-K., Ho, C., & Ho, R. (2019). Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study. Journal of Clinical Medicine, 8 (3), 360. https://doi.org/10.3390/jcm8030360

Tseng, K.-K., Lin, R.F.-Y., Zhou, H., Kurniajaya, K. J., & Li, Q. (2018). Price prediction of e-commerce products through Internet sentiment analysis. Electronic Commerce Research, 18 (1), 65–88. https://doi.org/10.1007/s10660-017-9272-9

Vanneschi, L., Horn, D. M., Castelli, M., & Popovič, A. (2018). An artificial intelligence system for predicting customer default in e-commerce. Expert Systems with Applications, 104 , 1–21. https://doi.org/10.1016/j.eswa.2018.03.025

Varshney, D., Kumar, S., & Gupta, V. (2017). Predicting information diffusion probabilities in social networks: A Bayesian networks based approach. Knowledge-Based Systems, 133 , 66–76. https://doi.org/10.1016/j.knosys.2017.07.003

Viejo, A., Sánchez, D., & Castellà-Roca, J. (2012). Preventing automatic user profiling in Web 2.0 applications. Knowledge-Based Systems, 36 , 191–205. https://doi.org/10.1016/j.knosys.2012.07.001

Villegas, N. M., Sánchez, C., Díaz-Cely, J., & Tamura, G. (2018). Characterizing context-aware recommender systems: A systematic literature review. Knowledge-Based Systems, 140 , 173–200. https://doi.org/10.1016/j.knosys.2017.11.003

Viswanathan, S., Guillot, F., & Grasso, A. M. (2020). What is natural?: Challenges and opportunities for conversational recommender systems. ACM International Conference Proceeding Series , 1–4. https://doi.org/10.1145/3405755.3406174

Vizine Pereira, A. L., & Hruschka, E. R. (2015). Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems, 82 , 11–19. https://doi.org/10.1016/j.knosys.2015.02.016

Vozalis, M. G., & Margaritis, K. G. (2007). Using SVD and demographic data for the enhancement of generalized Collaborative Filtering. Information Sciences, 177 (15), 3017–3037. https://doi.org/10.1016/j.ins.2007.02.036

Wang, F.-H. (2008). On discovery of soft associations with “most” fuzzy quantifier for item promotion applications. Information Sciences, 178 (7), 1848–1876. https://doi.org/10.1016/j.ins.2007.11.018

Wang, G., Ma, J., Huang, L., & Xu, K. (2012). Two credit scoring models based on dual strategy ensemble trees. Knowledge-Based Systems, 26 , 61–68. https://doi.org/10.1016/j.knosys.2011.06.020

Wang, H.-C., Jhou, H.-T., & Tsai, Y.-S. (2018a). Adapting topic map and social influence to the personalized hybrid recommender system. Information Sciences . https://doi.org/10.1016/j.ins.2018.04.015

Wang, H. C., & Doong, H. S. (2010). Argument form and spokesperson type: The recommendation strategy of virtual salespersons. International Journal of Information Management, 30 (6), 493–501. https://doi.org/10.1016/j.ijinfomgt.2010.03.006

Wang, H., Wang, N., & Yeung, D. Y. (2015). Collaborative deep learning for recommender systems. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , 2015 - Augus , 1235–1244. https://doi.org/10.1145/2783258.2783273

Wang, Q., Li, B., & Singh, P. V. (2018). Copycats vs. original mobile apps: A machine learning copycat-detection method and empirical analysis. Information Systems Research, 29 (2), 273–291. https://doi.org/10.1287/isre.2017.0735

Wang, W., Feng, Y., & Dai, W. (2018c). Topic analysis of online reviews for two competitive products using latent Dirichlet allocation. Electronic Commerce Research and Applications, 29 , 142–156. https://doi.org/10.1016/j.elerap.2018.04.003

Wang, Y., Lu, X., & Tan, Y. (2018d). Impact of product attributes on customer satisfaction: An analysis of online reviews for washing machines. Electronic Commerce Research and Applications, 29 , 1–11. https://doi.org/10.1016/j.elerap.2018.03.003

Wareham, J., Zheng, J. G., & Straub, D. (2005). Critical themes in electronic commerce research: A meta-analysis. Journal of Information Technology, 20 (1), 1–19. https://doi.org/10.1057/palgrave.jit.2000034

Watson, G. R., & Rasmussen, C. E. (2008). An integrated environment for the development of parallel applications. Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing , 11 (2), 19–34. https://doi.org/10.1007/978-3-540-68564-7

Webster, J., & Watson, R. T. (2002). Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly , 26 (2), xiii–xxiii. 10.1.1.104.6570

Wei, C. P., Hu, P. J., & Dong, Y. X. (2002). Managing document categories in e-commerce environments: An evolution-based approach. European Journal of Information Systems, 11 (3), 208–222. https://doi.org/10.1057/palgrave.ejis.3000429

Wei, J., He, J., Chen, K., Zhou, Y., & Tang, Z. (2017). Collaborative filtering and deep learning based recommendation system for cold start items. Expert Systems with Applications, 69 , 29–39. https://doi.org/10.1016/j.eswa.2016.09.040

Wenxuan Ding, A., Li, S., & Chatterjee, P. (2015). Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation. Information Systems Research, 26 (2), 339–359. https://doi.org/10.1057/isre.2015.0568

Willcocks, L. (2020a). Robo-Apocalypse cancelled? Reframing the automation and future of work debate. Journal of Information Technology, 35 (4), 286–302. https://doi.org/10.1177/0268396220925830

Willcocks, L. (2020b). Robo-Apocalypse? Response and outlook on the post-COVID-19 future of work. Journal of Information Technology, 36 (2), 188–194. https://doi.org/10.1177/0268396220978660

Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. In Data Mining: Practical Machine Learning Tools and Techniques . Morgan Kaufmann. https://doi.org/10.1016/c2009-0-19715-5

Wu, B., Ye, Y., & Chen, Y. (2019). Visual appearance or functional complementarity: Which aspect affects your decision making? Information Sciences, 476 , 19–37. https://doi.org/10.1016/j.ins.2018.10.011

Wu, J., Huang, L., & Zhao, J. L. (2019). Operationalizing regulatory focus in the digital age: Evidence from an e-commerce context. MIS Quarterly, 43 (3), 745–764. https://doi.org/10.25300/MISQ/2019/14420

Wu, R. S., & Chou, P. H. (2011). Customer segmentation of multiple category data in e-commerce using a soft-clustering approach. Electronic Commerce Research and Applications, 10 (3), 331–341. https://doi.org/10.1016/j.elerap.2010.11.002

Xia, H., Wei, X., An, W., Zhang, Z. J., & Sun, Z. (2021). Design of electronic-commerce recommendation systems based on outlier mining. Electronic Markets, 31 (2). https://doi.org/10.1007/s12525-020-00435-2

Xie, F., Chen, Z., Shang, J., & Fox, G. C. (2014). Grey Forecast model for accurate recommendation in presence of data sparsity and correlation. Knowledge-Based Systems, 69 (1), 179–190. https://doi.org/10.1016/j.knosys.2014.04.011

Xiong, J., Yu, L., Zhang, D., & Leng, Y. (2021). DNCP: An attention-based deep learning approach enhanced with attractiveness and timeliness of News for online news click prediction. Information and Management, 58 (2), 103428. https://doi.org/10.1016/j.im.2021.103428

Xu, Y., Yang, Y., Han, J., Wang, E., Ming, J., & Xiong, H. (2019). Slanderous user detection with modified recurrent neural networks in recommender system. Information Sciences, 505 , 265–281. https://doi.org/10.1016/j.ins.2019.07.081

Xue, G. R., Lin, C., Yang, Q., Xi, W., Zeng, H. J., Yu, Y., & Chen, Z. (2005). Scalable collaborative filtering using cluster-based smoothing. SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 114–121. https://doi.org/10.1145/1076034.1076056

Yan, S. R., Zheng, X. L., Wang, Y., Song, W. W., & Zhang, W. Y. (2015). A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce. Information Sciences, 318 , 51–72. https://doi.org/10.1016/j.ins.2014.09.036

Yan, Y., Huang, C., Wang, Q., & Hu, B. (2020). Data mining of customer choice behavior in internet of things within relationship network. International Journal of Information Management, 50 , 566–574. https://doi.org/10.1016/j.ijinfomgt.2018.11.013

Yang, Z., Cai, Z., & Guan, X. (2016a). Estimating user behavior toward detecting anomalous ratings in rating systems. Knowledge-Based Systems, 111 , 144–158. https://doi.org/10.1016/j.knosys.2016.08.011

Yang, Z., Xu, L., Cai, Z., & Xu, Z. (2016b). Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. Knowledge-Based Systems, 100 , 74–88. https://doi.org/10.1016/j.knosys.2016.02.008

Ye, X., Dong, L., & Ma, D. (2018). Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score. Electronic Commerce Research and Applications, 32 , 23–36. https://doi.org/10.1016/j.elerap.2018.10.004

Yim, D., Malefyt, T., & Khuntia, J. (2021). Is a picture worth a thousand views? Measuring the effects of travel photos on user engagement using deep learning algorithms. Electronic Markets, 31 (3), 619–637. https://doi.org/10.1007/s12525-021-00472-5

Zaïane, O. R. (2002). Building a recommender agent for e-learning systems. Proceedings - International Conference on Computers in Education, ICCE, 2002 , 55–59. https://doi.org/10.1109/CIE.2002.1185862

Zhang, D., Yan, Z., Jiang, H., & Kim, T. (2014). A domain-feature enhanced classification model for the detection of Chinese phishing e-Business websites. Information and Management, 51 (7), 845–853. https://doi.org/10.1016/j.im.2014.08.003

Zhang, D., Xu, H., Su, Z., & Xu, Y. (2015). Chinese comments sentiment classification based on word2vec and SVMperf. Expert Systems with Applications, 42 (4), 1857–1863. https://doi.org/10.1016/j.eswa.2014.09.011

Zhang, Q., Yang, L. T., Chen, Z., & Li, P. (2018a). A survey on deep learning for big data. Information Fusion, 42 , 146–157. https://doi.org/10.1016/j.inffus.2017.10.006

Zhang, W., Wang, C., Zhang, Y., & Wang, J. (2020a). Credit risk evaluation model with textual features from loan descriptions for P2P lending. Electronic Commerce Research and Applications, 42 , 100989. https://doi.org/10.1016/j.elerap.2020.100989

Zhang, W., Du, Y., Yang, Y., & Yoshida, T. (2018b). DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function. Electronic Commerce Research and Applications, 31 , 12–23. https://doi.org/10.1016/j.elerap.2018.08.001

Zhang, W., Du, Y., Yoshida, T., & Yang, Y. (2019a). DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function. Information Sciences, 470 , 121–140. https://doi.org/10.1016/j.ins.2018.08.039

Zhang, X., Liu, H., Chen, X., Zhong, J., & Wang, D. (2020b). A novel hybrid deep recommendation system to differentiate user’s preference and item’s attractiveness. Information Sciences, 519 , 306–316. https://doi.org/10.1016/j.ins.2020.01.044

Zhang, X., Han, Y., Xu, W., & Wang, Q. (2019b). HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture. Information Sciences . https://doi.org/10.1016/j.ins.2019.05.023

Zhang, Y., Chen, H., Lu, J., & Zhang, G. (2017). Detecting and predicting the topic change of knowledge-based systems: A topic-based bibliometric analysis from 1991 to 2016. Knowledge-Based Systems, 133 , 255–268. https://doi.org/10.1016/j.knosys.2017.07.011

Zhang, Z., Wei, X., Zheng, X., & Zeng, D. D. (2021). Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach. Information & Management, 58 (7), 103484. https://doi.org/10.1016/j.im.2021.103484

Zhao, G., Lou, P., Qian, X., & Hou, X. (2020a). Personalized location recommendation by fusing sentimental and spatial context. Knowledge-Based Systems, 196 , 105849. https://doi.org/10.1016/j.knosys.2020.105849

Zhao, L., Dai, T., Qiao, Z., Sun, P., Hao, J., & Yang, Y. (2020b). Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse. Process Safety and Environmental Protection, 133 , 169–182. https://doi.org/10.1016/j.psep.2019.11.014

Zhao, Y., Yu, Y., Li, Y., Han, G., & Du, X. (2019). Machine learning based privacy-preserving fair data trading in big data market. Information Sciences, 478 , 449–460. https://doi.org/10.1016/j.ins.2018.11.028

Zheng, X., Zhu, S., & Lin, Z. (2013). Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. Decision Support Systems, 56 , 211–222. https://doi.org/10.1016/j.dss.2013.06.002

Zheng, Z., & Padmanabhan, B. (2006). Selectively acquiring customer information: A new data acquisition problem and an active learning-based solution. Management Science, 52 (5), 697–712. https://doi.org/10.1287/mnsc.1050.0488

Ziegler, C.-N., McNee, S. M., Konstan, J. A., & Lausen, G. (2005). Improving recommendation lists through topic diversification. Proceedings of the 14th International Conference on World Wide Web , 22. https://doi.org/10.1145/1060745.1060754

Zoghbi, S., Vulić, I., & Moens, M. F. (2016). Latent Dirichlet allocation for linking user-generated content and e-commerce data. Information Sciences, 367–368 , 573–599. https://doi.org/10.1016/j.ins.2016.05.047

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Bawack, R.E., Wamba, S.F., Carillo, K.D.A. et al. Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electron Markets 32 , 297–338 (2022). https://doi.org/10.1007/s12525-022-00537-z

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Keywords : Social commerce, Live-stream shopping behavior, Mental health, COVID-19 and psychology, Social commerce ecosystem, Neuromarketing and Social commerce

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How is eCommerce Growing Important Every Day?

The eCommerce industry has undergone significant transformations over the past few years, and its growth hasn't gone unnoticed. The increasing importance of eCommerce can be attributed to several factors, including:

Expanding Customer Base : The advancement of eCommerce has led to a massive increase in the number of customers participating in online shopping. Understanding and analyzing the evolving trends and preferences of these newer customers have become essential for businesses.

Convenience for Customers : One of the primary reasons for the industry's growth is the convenience it offers to customers. Online shopping portals enable people to purchase their favorite products from the comfort of their homes, contributing to the industry's popularity.

Targeted Marketing Growth: The effectiveness of targeted marketing strategies has played a crucial role in eCommerce's success. From personalized messages addressing customers by name to tailored product recommendations, such tactics have significantly enhanced customer satisfaction and contributed to the industry's expansion.

Top E-commerce Research Ideas

To ensure your eCommerce research paper captures attention and relevance, it's essential to focus on the most pertinent topics in the industry. We've compiled a list of potential topics that can significantly enhance the chances of your research paper's success:

1. Role of Artificial Intelligence in Shaping Consumer Demand In E-commerce

Objective of the Paper: The topic emphasizes the importance of using Artificial Intelligence in shaping consumer demand in the e-commerce industry. It aims to explore how AI is utilized to provide personalized product recommendations, virtual assistants, dynamic pricing, chatbots, etc.

The paper aims to provide insights into the effectiveness of AI in influencing consumer decision-making, examining underlying mechanisms and assessing its impact on satisfaction, loyalty, and shopping experiences.

Why Choose this Topic?

The objective is to contribute towards a deeper understanding of the role of advanced AI in e-commerce and provide valuable insights for businesses and policymakers. This information will help policymakers make informed decisions and optimize their marketing strategies.

2. An Innovative E-commerce Platform Incorporating Metaverse to Live Commerce

Objective of the Paper: The paper's primary purpose is to explore the integration of the metaverse concept into e-commerce platforms and investigate its impact. The research would aim to understand how Metaverse can be leveraged to enhance and transform the typical e-commerce model.

Such e-commerce thesis topics aim to develop and assess an innovative e-commerce platform that incorporates elements like virtual reality, augmented reality, and immersive experiences into live commerce interactions. The research can also identify the hiccups one might face regarding technical requirements and ethical considerations when marrying e-commerce with Metaverse.

Metaverse has recently gained a lot of attention due to its vast advantages. If Metaverse is successfully implemented with live commerce, one can unleash the platform's full potential and use it to their advantage. This paper helps provide insights into the application of the Metaverse in creating innovative yet immersive platforms.

3. Autonomous Transaction Model For E-commerce Using Blockchain Technology

Objective of the Paper: This innovative topic helps investigate and develop a novel transaction model. The primary purpose of including blockchain in an e commerce research paper is to explore the potential of Blockchain in enabling autonomous transactions within the entire e-commerce ecosystem.

Using the study, one can design and implement an autonomous transaction model that utilizes Blockchain's decentralized and immutable nature. This would facilitate secure, transparent as well as efficient transactions in e-commerce. Such e-commerce research paper topics aim to discover how Blockchain can effectively streamline various aspects of eCommerce management , including order processing, inventory management, supply chain logistics, payment systems, etc.

This paper would significantly contribute to assessing the effectiveness of the autonomous transaction model in improving operational efficiency, cost-cutting, and mitigating funds and counterfeiting risks. This helps create a transparent e-commerce transaction ecosystem that various businesses can apply.

4. Product Advertising Recommendation in E-commerce Based on Deep Learning and Distributed Expression

Objective of the Paper: This paper helps explore and develop a sophisticated recommendation system for product advertising by utilizing deep learning techniques and distributed expression methods. The primary aim is to discover how deep learning algorithms can be applied to analyze vast amounts of data, user behavior, product information, contextual factors, etc.

One can develop recommendation systems that leverage deep learning models like CNNs, RNNs, or transformer models to get meaningful product images, descriptions, and user preferences. The research also evaluates the proposed recommendation system's performance, scalability, and privacy implications.

This paper would help gain valuable insights for companies and industries to optimize their marketing strategies which will ultimately help in improving the overall user experience.

5. Evaluating User Interface and Experience of VR in the Electronic Commerce Environment: A Hybrid Approach

Objective of the Paper: The purpose is to analyze and assess virtual reality's UI and UX aspects of virtual reality, one of the hottest topics of current times, in the context of electronic commerce. This research will help provide insights into the effectiveness and usability of VR technology in enhancing the shopping experience for consumers and the selling experience for traders.

The aim is to employ not a single method but a hybrid approach combining qualitative and quantitative research. This involves conducting user studies, usability testing, surveys, and even interviews to get hands-on data and participant feedback.

Conducting thorough research on this topic will help provide valuable information for designing and optimizing VR interfaces in e-commerce settings. Gaining the knowledge would help companies better fathom the potential of VR in e-commerce and identify areas of improvement.

6. Smart E-commerce Logistics Construction Model-based on Big Data Analytics

Objective of the Paper: To propose a probable advanced logistic construction model for e-commerce that uses big data analytics to optimize and enhance the efficiency of the entire logistics process.

The primary goal is to explore and identify how big data analytics can garner, analyze and extract essential information from vast logistics-related data in the e-commerce industry. The sources include order information, inventory data, transportation records, traffic patterns, etc.

Ultimately, the research would be used to develop an intelligent logistics construction model that could use big data analytics, including data mining machine learning, predictive analytics, and even optimization algorithms.

Why Choose this Paper?

By gathering information from real-time data, the model aims to improve accuracy, cut costs, minimize delays, and provide a seamless experience to the users. The paper would provide companies with information that would strengthen their logistics operation and help them meet the increasing demands and expectations of the eCommerce market.

7. Consumer Marketing Strategy and E-commerce in the Last Decade

Objective of the Paper: The paper helps analyze the changes in consumer marketing strategies over the last ten years. The aim is to explore the evolving trends in terms of consumer behavior, preferences, and expectations and how they have influenced marketing strategies.

The study also helps understand how digital technologies such as social media, mobile devices, and significant data analytics shape consumer behavior. It also helps recognize the best practices and successful marketing strategies various e-commerce businesses use to attract, engage and retain customers.

If one analyzes any latest research paper on e commerce, one will find data that talks about the various challenges and opportunities that businesses have faced and adopted in the last decade. Likewise, this paper will help develop and implement effective consumer marketing strategies in an e-commerce environment. It would more likely be a comprehensive guide that talks about the evolution of consumer marketing strategies and their relationship with e-commerce in the last decade.

8. E-commerce Opportunities in the 4.0 Era of Innovative Entrepreneurship Management Development

Objective of the Paper: The purpose is to identify the various unique opportunities that arise in e-commerce as per the Fourth Industrial Revolution. The paper investigates and analyzes the multiple dimensions of eCommerce in the 4.0 era, which includes various parameters like AI, IoT, Blockchain, cloud computing, and data analytics.

The primary goal of this paper is to understand how these advanced technologies can be implemented to enhance the e-commerce platform and enable new business models.

The paper also aims to find specific growth areas, such as cross-border e-commerce, mobile commerce, and social or platform-based business models.

The paper helps in providing valuable insights for budding entrepreneurs and established businesses. It helps to understand the innovative relationship between emerging technologies and e-commerce, resulting in a conducive and sustainable environment.

How To Write An Effective E-commerce Research Paper?

Some basic steps must be followed to write an influential e-commerce research paper. They are:

Choose the Right Topic: Selecting a specific domain is necessary before writing a paper. Ensure the e commerce-related research topics are relevant to the current scenario and resonate with the market's current demand.
Conduct Thorough Research: A research paper is nothing if it is just filled with some facts everyone can find in the newspapers and magazines. As a research scholar, you need to conduct thorough research and write the paper in a way that discusses even the most critical topics excitingly.
Outline the Paper: Before writing, create an outline that will act as a guide throughout the research.
Analyze and Interpret your Findings: Collecting data and merely representing it would not be enough. You must analyze your research findings and translate them into an actionable conclusion.
Revise and Edit: Even after completing the paper, you must revise the whole thing to find mistakes, if any, are present while filling in the information.

You must always remember an e-commerce paper is only effective when it has the perfect balance between in-depth analysis, clarity of expression, and an engaging writing style.

In conclusion, the realm of eCommerce is experiencing rapid and dynamic changes, making it crucial for researchers and businesses to stay updated with the latest trends and topics. In 2024 and beyond, the key to success lies in exploring intriguing research ideas that hold the potential to revolutionize customer engagement, satisfaction, and conversion rates.

The first four research topics open up numerous opportunities for delving into customer-centric approaches, allowing businesses to better understand their target audience and cater to their needs effectively. Furthermore, the fifth and sixth topics emphasize the importance of efficient logistics and supply chain management, ensuring seamless delivery solutions and practices to meet customer expectations.

The final two topics highlight the indispensable role of data analytics and AI in the eCommerce landscape. Leveraging advanced technologies in these areas can drive better decision-making, fraud detection, and overall business efficiency.

By embracing these research areas and selecting the right eCommerce research title, researchers can gain valuable insights that will help them thrive in the ever-evolving world of eCommerce. Embracing innovation and staying attuned to the shifting industry trends will be key in achieving success in this fast-paced and competitive market.

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Frequently Asked Questions (FAQs)

The best way to choose a topic in commerce is to research and find out the most searched topics of the current times. This homework will help you understand the market's current demands and choose your topic accordingly.

In the simplest terms, e-commerce market research is the process of collecting and studying data and information related to the e-commerce industry.

If we consider previous data, the B2C model is the most successful form of eCommerce as the B2C model targets individual consumers rather than businesses providing a more significant customer base.

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Sat / act prep online guides and tips, 113 great research paper topics.

General Education

One of the hardest parts of writing a research paper can be just finding a good topic to write about. Fortunately we've done the hard work for you and have compiled a list of 113 interesting research paper topics. They've been organized into ten categories and cover a wide range of subjects so you can easily find the best topic for you.

In addition to the list of good research topics, we've included advice on what makes a good research paper topic and how you can use your topic to start writing a great paper.

What Makes a Good Research Paper Topic?

Not all research paper topics are created equal, and you want to make sure you choose a great topic before you start writing. Below are the three most important factors to consider to make sure you choose the best research paper topics.

#1: It's Something You're Interested In

A paper is always easier to write if you're interested in the topic, and you'll be more motivated to do in-depth research and write a paper that really covers the entire subject. Even if a certain research paper topic is getting a lot of buzz right now or other people seem interested in writing about it, don't feel tempted to make it your topic unless you genuinely have some sort of interest in it as well.

#2: There's Enough Information to Write a Paper

Even if you come up with the absolute best research paper topic and you're so excited to write about it, you won't be able to produce a good paper if there isn't enough research about the topic. This can happen for very specific or specialized topics, as well as topics that are too new to have enough research done on them at the moment. Easy research paper topics will always be topics with enough information to write a full-length paper.

Trying to write a research paper on a topic that doesn't have much research on it is incredibly hard, so before you decide on a topic, do a bit of preliminary searching and make sure you'll have all the information you need to write your paper.

#3: It Fits Your Teacher's Guidelines

Don't get so carried away looking at lists of research paper topics that you forget any requirements or restrictions your teacher may have put on research topic ideas. If you're writing a research paper on a health-related topic, deciding to write about the impact of rap on the music scene probably won't be allowed, but there may be some sort of leeway. For example, if you're really interested in current events but your teacher wants you to write a research paper on a history topic, you may be able to choose a topic that fits both categories, like exploring the relationship between the US and North Korea. No matter what, always get your research paper topic approved by your teacher first before you begin writing.

113 Good Research Paper Topics

Below are 113 good research topics to help you get you started on your paper. We've organized them into ten categories to make it easier to find the type of research paper topics you're looking for.

Arts/Culture

Discuss the main differences in art from the Italian Renaissance and the Northern Renaissance .
Analyze the impact a famous artist had on the world.
How is sexism portrayed in different types of media (music, film, video games, etc.)? Has the amount/type of sexism changed over the years?
How has the music of slaves brought over from Africa shaped modern American music?
How has rap music evolved in the past decade?
How has the portrayal of minorities in the media changed?

Current Events

What have been the impacts of China's one child policy?
How have the goals of feminists changed over the decades?
How has the Trump presidency changed international relations?
Analyze the history of the relationship between the United States and North Korea.
What factors contributed to the current decline in the rate of unemployment?
What have been the impacts of states which have increased their minimum wage?
How do US immigration laws compare to immigration laws of other countries?
How have the US's immigration laws changed in the past few years/decades?
How has the Black Lives Matter movement affected discussions and view about racism in the US?
What impact has the Affordable Care Act had on healthcare in the US?
What factors contributed to the UK deciding to leave the EU (Brexit)?
What factors contributed to China becoming an economic power?
Discuss the history of Bitcoin or other cryptocurrencies (some of which tokenize the S&P 500 Index on the blockchain) .
Do students in schools that eliminate grades do better in college and their careers?
Do students from wealthier backgrounds score higher on standardized tests?
Do students who receive free meals at school get higher grades compared to when they weren't receiving a free meal?
Do students who attend charter schools score higher on standardized tests than students in public schools?
Do students learn better in same-sex classrooms?
How does giving each student access to an iPad or laptop affect their studies?
What are the benefits and drawbacks of the Montessori Method ?
Do children who attend preschool do better in school later on?
What was the impact of the No Child Left Behind act?
How does the US education system compare to education systems in other countries?
What impact does mandatory physical education classes have on students' health?
Which methods are most effective at reducing bullying in schools?
Do homeschoolers who attend college do as well as students who attended traditional schools?
Does offering tenure increase or decrease quality of teaching?
How does college debt affect future life choices of students?
Should graduate students be able to form unions?

What are different ways to lower gun-related deaths in the US?
How and why have divorce rates changed over time?
Is affirmative action still necessary in education and/or the workplace?
Should physician-assisted suicide be legal?
How has stem cell research impacted the medical field?
How can human trafficking be reduced in the United States/world?
Should people be able to donate organs in exchange for money?
Which types of juvenile punishment have proven most effective at preventing future crimes?
Has the increase in US airport security made passengers safer?
Analyze the immigration policies of certain countries and how they are similar and different from one another.
Several states have legalized recreational marijuana. What positive and negative impacts have they experienced as a result?
Do tariffs increase the number of domestic jobs?
Which prison reforms have proven most effective?
Should governments be able to censor certain information on the internet?
Which methods/programs have been most effective at reducing teen pregnancy?
What are the benefits and drawbacks of the Keto diet?
How effective are different exercise regimes for losing weight and maintaining weight loss?
How do the healthcare plans of various countries differ from each other?
What are the most effective ways to treat depression ?
What are the pros and cons of genetically modified foods?
Which methods are most effective for improving memory?
What can be done to lower healthcare costs in the US?
What factors contributed to the current opioid crisis?
Analyze the history and impact of the HIV/AIDS epidemic .
Are low-carbohydrate or low-fat diets more effective for weight loss?
How much exercise should the average adult be getting each week?
Which methods are most effective to get parents to vaccinate their children?
What are the pros and cons of clean needle programs?
How does stress affect the body?
Discuss the history of the conflict between Israel and the Palestinians.
What were the causes and effects of the Salem Witch Trials?
Who was responsible for the Iran-Contra situation?
How has New Orleans and the government's response to natural disasters changed since Hurricane Katrina?
What events led to the fall of the Roman Empire?
What were the impacts of British rule in India ?
Was the atomic bombing of Hiroshima and Nagasaki necessary?
What were the successes and failures of the women's suffrage movement in the United States?
What were the causes of the Civil War?
How did Abraham Lincoln's assassination impact the country and reconstruction after the Civil War?
Which factors contributed to the colonies winning the American Revolution?
What caused Hitler's rise to power?
Discuss how a specific invention impacted history.
What led to Cleopatra's fall as ruler of Egypt?
How has Japan changed and evolved over the centuries?
What were the causes of the Rwandan genocide ?

Why did Martin Luther decide to split with the Catholic Church?
Analyze the history and impact of a well-known cult (Jonestown, Manson family, etc.)
How did the sexual abuse scandal impact how people view the Catholic Church?
How has the Catholic church's power changed over the past decades/centuries?
What are the causes behind the rise in atheism/ agnosticism in the United States?
What were the influences in Siddhartha's life resulted in him becoming the Buddha?
How has media portrayal of Islam/Muslims changed since September 11th?

Science/Environment

How has the earth's climate changed in the past few decades?
How has the use and elimination of DDT affected bird populations in the US?
Analyze how the number and severity of natural disasters have increased in the past few decades.
Analyze deforestation rates in a certain area or globally over a period of time.
How have past oil spills changed regulations and cleanup methods?
How has the Flint water crisis changed water regulation safety?
What are the pros and cons of fracking?
What impact has the Paris Climate Agreement had so far?
What have NASA's biggest successes and failures been?
How can we improve access to clean water around the world?
Does ecotourism actually have a positive impact on the environment?
Should the US rely on nuclear energy more?
What can be done to save amphibian species currently at risk of extinction?
What impact has climate change had on coral reefs?
How are black holes created?
Are teens who spend more time on social media more likely to suffer anxiety and/or depression?
How will the loss of net neutrality affect internet users?
Analyze the history and progress of self-driving vehicles.
How has the use of drones changed surveillance and warfare methods?
Has social media made people more or less connected?
What progress has currently been made with artificial intelligence ?
Do smartphones increase or decrease workplace productivity?
What are the most effective ways to use technology in the classroom?
How is Google search affecting our intelligence?
When is the best age for a child to begin owning a smartphone?
Has frequent texting reduced teen literacy rates?

How to Write a Great Research Paper

Even great research paper topics won't give you a great research paper if you don't hone your topic before and during the writing process. Follow these three tips to turn good research paper topics into great papers.

#1: Figure Out Your Thesis Early

Before you start writing a single word of your paper, you first need to know what your thesis will be. Your thesis is a statement that explains what you intend to prove/show in your paper. Every sentence in your research paper will relate back to your thesis, so you don't want to start writing without it!

As some examples, if you're writing a research paper on if students learn better in same-sex classrooms, your thesis might be "Research has shown that elementary-age students in same-sex classrooms score higher on standardized tests and report feeling more comfortable in the classroom."

If you're writing a paper on the causes of the Civil War, your thesis might be "While the dispute between the North and South over slavery is the most well-known cause of the Civil War, other key causes include differences in the economies of the North and South, states' rights, and territorial expansion."

#2: Back Every Statement Up With Research

Remember, this is a research paper you're writing, so you'll need to use lots of research to make your points. Every statement you give must be backed up with research, properly cited the way your teacher requested. You're allowed to include opinions of your own, but they must also be supported by the research you give.

#3: Do Your Research Before You Begin Writing

You don't want to start writing your research paper and then learn that there isn't enough research to back up the points you're making, or, even worse, that the research contradicts the points you're trying to make!

Get most of your research on your good research topics done before you begin writing. Then use the research you've collected to create a rough outline of what your paper will cover and the key points you're going to make. This will help keep your paper clear and organized, and it'll ensure you have enough research to produce a strong paper.

What's Next?

Are you also learning about dynamic equilibrium in your science class? We break this sometimes tricky concept down so it's easy to understand in our complete guide to dynamic equilibrium .

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Christine graduated from Michigan State University with degrees in Environmental Biology and Geography and received her Master's from Duke University. In high school she scored in the 99th percentile on the SAT and was named a National Merit Finalist. She has taught English and biology in several countries.

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E-commerce Dissertation Topics

Published by Carmen Troy at January 10th, 2023 , Revised On August 18, 2023

Introduction

Studying e-commerce helps in understanding how online businesses work. As a student of e-commerce, you will be required to learn about the various electronic mediums that online businesses rely upon and how online operations and transactions are carried out.

Essentially, e-commerce is studying the different technologies involved in setting up an online business. These include automated data collection systems, artificial intelligence, user design, inventory management systems, electronic data interchange systems (EDI), online transactions processing, industry-specific user tools, internet marketing, supply chain management, news breaking, and electronic funds transfer, and mobile commerce.

To help you get started with brainstorming for e-commerce topic ideas, we have developed a list of the latest topics that can be used for writing your e-commerce dissertation.

PhD qualified writers of our team have developed these topics, so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the topic, research question , aim and objectives , literature review along with the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

Check our dissertation examples to get an idea of how to structure your dissertation .

Review the full list of dissertation topics for 2022 here.

2022 E-commerce Dissertation Topics

Topic 1: an assessment of the geographical constraints impacting the business flow of e-commerce- a case study of amazon..

Research Aim: This study aims to find the impact of geographical constraints on the flow of e-commerce business focusing on Amazon. In this research, we will analyse how these geographical restrictions affect the flow of business. In many areas, e-commerce may drive the decline of small stores and may also affect the local producers and the global economy.

Topic 2: An investigation of the security controls and issues of e-commerce websites in the UK online environment.

Research Aim: With the development of the global economy and an increasing number of customers running their business largely through the internet or mobile has made e-commerce grow. Creating an effective strategy is the most integral part of a modern organization; however, a company must take care of the new security concerns and problems while maintaining their quality and high standard. This study will primarily focus on the security control and issues of e-commerce websites in the UK and how they cope with them to keep the data secured.

Topic 3: Google ads vs. Search ads in e-commerce- A comparative study

Research Aim: An organization may find it challenging to decide what kind of advertisement they should use for their online campaigns. This study will provide a comparative analysis of google ads and search ads and give us an understanding of both ads, focusing on which is better according to the budget of the organisation, which will help them gain a significant audience and grow the business.

Topic 4: An examination of consumer decision-making processes- A comparative study between e-commerce and m-commerce in the United Kingdom.

Research Aim: The growth of eCommerce is increasing day by day. This research aims to find the factors affecting the online purchase decision. This study will provide a comparative analysis of eCommerce and m-commerce in the UK, focusing on different factors and characteristics of both. This study will differentiate the features of eCommerce and m-commerce and identify the main factors which influence the long run of online marketing to provide better services for consumers and make them know about new business opportunities.

Topic 5: Gender Inequality in the Ecommerce Industry.

Research Aim: Women in industries are still facing substantial issues in their daily lives as well as in their professional lives; for example, salary gaps, discrimination, maternity leave are just simple examples that influence the everyday lives of thousands of individuals around the world. This study will focus on the gender inequality and biased behaviours individuals, especially women, face in the eCommerce industry.

Covid-19 E-commerce Research Topics

Topic 1: impacts of coronavirus on e-commerce.

Research Aim: The study will focus on identifying the effects of coronavirus on E-commerce.

Topic 2: Frequent E-commerce shopping during Coronavirus pandemic

Research Aim: Coronavirus has affected almost every business, including E-commerce. This study will investigate the reasons behind increasing online shopping, challenges faced by E-commerce industries, and measures taken to improve the business.

Topic 3: Contribution of E-commerce during COVID-19

Research Aim: This study will identify E-commerce industries’ contribution during the coronavirus pandemic. What safety measures have they taken to provide safe deliveries of the products? What kind of challenges they faced?

Topic 4: Offline and online shopping after COVID-19

Research Aim: This study will focus on reviewing the current positive and negative impacts on online shopping and shopping in stores and predict the future of shopping after COVID-19, listing the differences, challenges, benefits, and risks of both online and offline shopping.

E-commerce Dissertation Topics for 2021

Topic 1: impact of digital business on the economic growth of the country: a case study of xyz country.

Research Aim: This research will focus on the significance of digital business during the pandemic and its impacts, not the country’s economic growth. It is a detailed view of the future that needs to be digitalised.

Topic 2: Brand marketing through social media

Research Aim: This research aims to focus on the importance of Brand Marketing through social media by addressing various current strategies used in brand marketing.

Topic 3: Impacts of social media on customer behaviour

Research Aim: This research aims to measure social media’s impacts on customer behaviour and address various effective strategies to attract customers through social media.

Topic 4: What factors influence the consumer's buying decisions?

Research Aim: This research aims to identify factors that influence the consumer’s buying decisions

Topic 5: Black Friday sale strategy to drive sales

Research Aim: This research aims to identify how the Black Friday sale strategy is effective in driving sales. How can huge discounts benefit sellers?

Topic 6: The role of influencer marketing in increasing sale

Research Aim: Influencer Marketers impact the customer’s perception. This research aims to the role of influencer marketing in increasing sales.

Topic 7: Impact of E-marketing on consumer purchase decision: the case of the luxury industry in the UK

Research Aim: This research aims to measure E-marketing’s impact on consumer purchase decisions in the U.K luxury industry.

Topic 8: Analysis of the customer-centric marketing strategies in attaining competitive advantage for the firm and sustaining business success

Research Aim: This research focuses on attaining customer-centric marketing strategies in a competitive advantage for the firm and sustaining business success.

Topic 9: Traditional vs. digital marketing: a comparative study of the last ten years

Research Aim: This research aims to conduct a comparative study of traditional vs. digital marketing in the last ten years.

Topic 10: The impact of relationship marketing on customer loyalty: an analysis of the Honda motor

Research Aim: This research aims to assess the impact of relationship marketing on customer loyalty. An analysis of the Honda motor will be conducted as the basis of the research.

Topic 11: The importance of search engines in e-commerce

Research Aim: This research aims to identify the importance of search engines in e-commerce.

Topic 12: E-commerce company's advertising strategy-critical analysis

Research Aim: This research aims to identify the importance of an E-commerce company’s advertising strategy.

Topic 13: Importance of customer retention in E-commerce

Research Aim: This research aims to measure the importance of customer retention in E-commerce.

Topic 14: Importance of brand loyalty in internet marketing

Research Aim: This research aims to identify the importance of brand loyalty in internet marketing.

E-commerce Dissertation Topics for 2020

Topic 1: analysing the impact of e-commerce strategies on building better relationships with customers: a case study of the uk fashion industry.

Research Aim: the UK fashion industry is a fragmented zone where a large number of famous brands have been competing to gain a competitive edge through better customer relationships. For the same purpose, effective e-commerce strategies can help in building better customer relationships. Thus, the main purpose of this research will be to analyse the impact of e-commerce strategies on building better relationships with customers of the UK Fashion industry.

Topic 2: Assessing the impact of unique website attributes on consumer buying pattern: A case study of Amazon and eBay

Research Aim: The rise of information technology has led famous brands to develop unique attributes for their websites to encourage their audience to buy. One of the most notable issues of the e-commerce industry is the ever-increasing competition amongst online retailers that offer user-friendly and unique website design and UX features to achieve favourable results. The purpose of this study will be to assess the impact of website attributes on consumer buying patterns with a focus on Amazon and e-bay.

Topic 3: How does e-commerce facilitate adding value to a business: A case study of service industry in China.

Research Aim: In today’s world with tech-savvy consumers, online purchases are much higher as compared to traditional, in-store purchases. This persuades the pioneers of the service industry to add value to their business by providing e-commerce facilities to consumers. Therefore, the main purpose of this research will be to analyse how e-commerce facilitates and adds value to a business with a focus on China service industry.

Topic 4: Critical analysis of security policies and vulnerabilities of an online banking website: Identifying the challenges and remedies to improvise risk management

Research Aim: The number of internet users around the world is increasing with each passing year, however, this has also posited various security problems for online banking websites. The main purpose of this study will be to critically analyse security policies and the vulnerabilities of online banking websites, along with the identification of challenges and remedies for improvising risk management.

Topic 5: Can e-commerce help organisations build a competitive advantage over their competitors?

Research Aim: This research will talk about the role of e-commerce in helping organisations build a competitive advantage against their competitors. This research will understand how e-commerce, through advanced technology, helps businesses attain their business objective and how it helps them facilitate their customers.

Topic 6: Exploring the regulations and guidelines set out for e-commerce companies

Research Aim: This research will understand the rules and regulations set out by the government and regulating authorities to implement safe and secure e-commerce. When offering online payment services to their customers, businesses have to make sure that they comply with the laws set out by the government so that customers’ payments are safe and secure.

Topic 7: Analyzing the best security mechanisms that should be implemented by e-commerce businesses

Research Aim: When implementing e-commerce models, it is necessary for businesses to make sure that the best security mechanisms are put in place. Customers trust companies which is why they make online payments. Thus the development of secure payment gateways is vitally important to keep the trust of customers. This research will analyse the various security mechanisms available for companies and how businesses should implement them.

Topic 8: Exploring the data privacy issues in e-commerce

Research Aim: This research will be focused on trust issues surrounding e-commerce. Customers make credit card payments trusting the company and the technology in use. However, there have been instances where companies failed to protect customer data, and their privacy is compromised. Such incidents can cause the company to lose its reputation and find itself having to deal with legal issues. This study explores the various privacy issues that customers come across when buying online.

Topic 9: E-Commerce and customer retention – What role does e-commerce play?

Research Aim: This research will explore an important aspect of businesses i.e. customer retention. The study will analyse whether or not e-commerce helps businesses in retaining customers. What are the various causes and reasons people trust e-commerce and stay loyal to a brand if it does? This research will investigate all the possibilities to conclude whether e-commerce plays a role in retaining customers or not.

Topic 10: Security limitations and challenges of implementing e-commerce.

Research Aim: This research will explore the challenges and security limitations businesses have to deal with when building an e-commerce business. The study will include the various security elements that companies have to consider when implementing e-commerce models, the challenges they encounter, and the steps that they take in order to ensure the security of customers’ data as well as their own systems.

E-commerce Marketing Dissertation Topics

Their marketing and advertising strategies largely influence e-businesses. Without having a well-rounded and educated marketing strategy, an e-business in today’s cut-throat online environment will surely struggle to succeed.

Web admins and online marketing experts employ various marketing strategies to engage potential customers on social networks, banner advertisements, and paid advertisements.

The internet has played a vital role in making data available to everyone, making it possible to target customers based on their demographics and social media profiles. Thus, from these intriguing and up-to-date e-commerce marketing topics, you can choose the most suitable one for your own dissertation project.

Topic 1: E-commerce and the importance of search engine rankings for businesses

Research Aim: This research will identify the importance of search engine ranking for e-commerce businesses.

Topic 2: Investigating internet marketing strategies employed by traditional retailers

Research Aim: This research will explore and evaluate the internet marketing strategies undertaken by businesses.

Topic 3: Retaining customers by employing e-commerce: A case study of the UK fashion industry

Research Aim: This research will explore the ways through which e-commerce businesses can retain their customers. A specific focus of this study will be the UK Fashion industry.

Topic 4: Wholly online or one foot in both worlds – The advantages and disadvantages of the two commonly employed marketing strategies - online and conventional models

Research Aim: This research will aim to understand the pros and cons of two main marketing strategies employed by companies. Also, this research will study businesses that run both online and traditional businesses.

Topic 5: To investigate internet marketing strategies employed by e-commerce retailers

Research Aim: This research will understand the internet marketing strategies undertaken by e-commerce retailers.

Topic 6: Understanding the effect of customer behaviour on internet marketing strategies

Research Aim: This research will understand how internet marketing strategies change consumer behaviour.

Topic 7: Measuring the success of marketing strategy employed by new e-businesses – A case study of the UK retail industry

Research Aim: This research will aim to measure the success of marketing strategies adopted and employed by companies in the UK retail sector.

Topic 8: Measuring the success of internet marketing strategy employed by traditional businesses – A case study of the airline industry

Research Aim: This research will explore the success of internet marketing strategies employed by traditional businesses in the airline industry of the UK.

Topic 9: The role of original and plagiarism free content in today’s e-marketing strategies

Research Aim: This research will explore an important concept of internet marketing i.e. content marketing. The importance of content quality and authenticity will be evaluated in this study.

How Can ResearchProspect Help?

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E-commerce Strategy Dissertation Topics

The importance and the role of an effective e-commerce strategy should never be overlooked especially when promoting a product or service. In today’s highly “technology-oriented” world, having an internet presence is considered a requirement.

A well-rounded design can help e-businesses become leaders in their respective industries. Some related topics are listed below:

Topic 1: Evaluating internet marketing strategies employed by existing e-businesses

Research Aim: This research will aim to explore the various internet marketing strategies employed by various existing businesses. The dissertation will identify the most successful online marketing strategies for the last five years in the UK e-commerce industry.

Topic 2: The challenges and opportunities for organisations migrating to the internet

Research Aim: This research will explore the challenges and opportunities that companies come across when transitioning from a traditional to an e-commerce model.

Topic 3: Accident or Design – Do we really have an internet marketing mix model/strategy that is sure to work?

Research Aim: This research will aim to explore whether we really have an internet marketing mix model/strategy that is sure to work or do online marketing strategies become successful by accident.

Topic 4: Investigating the use of customer service in e-commerce to gain a competitive advantage

Research Aim: This research will investigate the role of friendly and efficient customer services in the success of e-commerce strategy

Topic 5: Exploring the most effective aspects of e-commerce strategy in today’s world

Research Aim: This research will outline the most important qualities of an e-commerce strategy to be successful in today’s fast-moving world.

Topic 6: Exploring the various internet business value creation strategies employed by e-businesses

Research Aim: This research will explore and investigate the different internet value creation strategies adopted by e-commerce businesses.

Topic 7: Measuring performance of an e-business marketing strategy

Research Aim: This research will aim to measure the success of an e-commerce strategy implemented by an e-commerce business. This topic can be customised to focus on a specific company or a specific strategy.

Topic 8: Investigating e-business strategies employed by educational institutes in the UK

Research Aim: The educational sector has adopted e-commerce to attract students from around the world. This study will aim to investigate the e-commerce strategies implemented by educational institutes to evaluate their success.

Topic 9: Reviewing the e-business strategies employed by the UK SME’s

Research Aim: This research will compare and analyse the best e-commerce strategy implemented by SMEs in the UK.

Topic 10: How effective e-commerce strategies can help companies in building their brand reputation

Research Aim: This research will understand the various strategies implemented by companies and will conclude whether implementing them helps companies build their brand reputation.

E-commerce Security and Trust Dissertation Topics

The importance of trust and security in e-commerce has greatly increased in recent times, thanks to the growing number of threats that exist on the internet. When companies decide to implement e-commerce models, they entrust their customers that their data and privacy will be protected.

On the other hand, customers also make e-commerce payments trusting the company with their information. Thus, exploring these two essentials of e-commerce will help understand how successful companies have been in assuring customers about their security systems. Here are some commerce trust and security topics for you to choose from.

1. E-Commerce Trust Dissertation Topics

Topic 1: trust in e-commerce – reality or myth.

Research Aim: This research will explore the trust aspect of e-commerce as to whether it really exists or is just a myth.

Topic 2: Investigating data privacy issues in e-commerce and how they affect businesses

Research Aim: This research will explore the data privacy issues in the e-commerce industry and how they affect businesses.

Topic 3: Data Protection Act: Does it help in building trust in e-commerce

Research Aim: This research will understand the data protection act. It will also analyze whether or not it helps businesses to build trust. The research will explore whether changes to this act are required or not.

Topic 4: How has anti-virus technology helped the e-commerce industry?

Research Aim: This research will explore the effectiveness of anti-virus software and whether it has helped protect the e-commerce industry.

Topic 5: Investigating strategies used by retailers to build up trust among potential and existing customers

Research Aim: This research will analyse the strategies utilised by retailers in the UK to build trust among customers.

2. E-commerce Security Dissertation Topics

Topic 1: to identifying the security limitations that led to third party attacks in the past.

Research Aim: This research will analyse the past third-party attacks and will explore the reasons as to why those happened.

Topic 2: An empirical study of e-commerce security, challenges, and solutions

Research Aim: This research will discuss the basics of e-commerce security, the challenges faced by the industry and its solutions.

Topic 3: Investigating strategies employed by e-commerce businesses to enhance the security of e-commerce transactions

Research Aim: This research will aim to understand the various strategies that are employed by e-commerce businesses to enhance the security of e-commerce transactions.

Topic 4: Exploring the effectiveness of encryption in the e-commerce industry

Research Aim: This research will investigate the effectiveness of encryption and the reason why the e-commerce industry adopted it.

Topic 5: Online reputation management: Exploring how e-commerce companies in the UK fashion industry practice it

Research Aim: This research will discuss a relatively new concept, online reputation, and will explore how the UK fashion industry practices it.

E-commerce Usability Dissertation Topics

Not many e-businesses pay enough attention to the usability of their e-commerce website. It should be noted that the complex ordering and navigation system leads to higher bounce rates, leaving companies with very little or no revenue.

Companies should build a user-friendly user interface, or else visitors will prematurely give up and abandon their shopping cart. To explore this aspect of e-commerce, here are some latest research topics:

Topic 1: A comparative analysis of the usability of the world’s leading travel websites

Research Aim: This research will compare the website user interface of leading airlines such as Emirates, Qatar Airways, Turkish Airlines, etc.

Topic 2: Evaluating the website design and structure of the leading UK retail stores

Research Aim: This research will evaluate the website design and structure of the leading retail stores in the UK.

Topic 3: Assessing the website usability and design interface of government websites in the U.A.E.

Research Aim: This research will analyse the websites user interface of government-run websites in the United Arab Emirates.

Topic 4: Reviewing user-friendly design options for an e-commerce website for an online clothing store

Research Aim: This research will explore the website UX design options that must be taken into consideration by companies to ensure user-friendliness and smooth flow.

Topic 5: An analysis of the usability of m-commerce applications

Research Aim: This research will discuss and analyse the m-commerce application of the web systems as to how they should be built, keeping user-friendliness in mind.

Topic 6: Customer preferences and behaviour: Should these be considered when building a website?

Research Aim: This research will consider two important aspects of website development – customer preferences and behaviour. The study will discuss the importance of being mindful of consumer behaviour and consumer preferences when building a brand new website.

Topic 7: The impact of poorly designed websites on a company’s revenues

Research Aim: This research will assess the effects of poorly designed websites on a company’s revenues.

Topic 8: Customer satisfaction and usability: Are they both related to the e-commerce?

Research Aim: This research will explore the most important factor related to business, i.e. customer satisfaction and how it relates to website UX designing.

Topic 9: Critically analysing the UX design technologies employed by e-commerce businesses.

Research Aim: This research will critically analyse the current technologies employed by e-commerce businesses.

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E-commerce Law Dissertation Topics

Governments across the globe have reacted slowly to technological advancements being made over the last fifty years. The lobby groups behind large profit-making organisations play a huge part in the e-commerce laws being made.

The Digital Millennium Copyright Act and the Copy Right Act are two classic examples of such laws created to protect the interests of those in power. Consequently, the benefits of the legislation are not being experienced by the general public. Thus, it is worth exploring this aspect of e-commerce. Some suggestions are provided below if you wish to base your e-commerce dissertation on law:

Topic 1: To compare the e-commerce regulations in the United States of America and the European Union for new and existing e-commerce businesses

Research Aim: This research will compare and analyse the e-commerce laws and regulations for new and existing businesses in the United States of America and the European Union,

Topic 2: The role of consumer protection laws in the development of e-commerce – The case of the UAE

Research Aim: This research will explore customer protection laws and their role in the development of e-commerce in the UAE.

Topic 3: Computer Misuse Act 1990: Is it relevant today in the e-commerce industry?

Research Aim: This research will explore the computer misuse act 1990 and whether or not it is relevant today in the e-commerce industry.

Topic 4: Exploring how Brexit will impact the e-commerce laws for companies in the UK

Research Aim: This research will explore the impact of Brexit on the e-commerce industry in the UK and whether or not there will be new laws.

Topic 5: The impact of the American Copyright Act extension on e-commerce

Research Aim: This research will explore the impact of the American Copyright Act extension on e-commerce.

Topic 6: Analysing the impact of international legislation on the e-commerce industry

Research Aim: This research will analyse the impact of international legislation on the e-commerce industry.

Topic 7: Investigating UK’s legislation concerning e-businesses and how it affects businesses

Research Aim: This research will understand how UK legislation has set out e-commerce rules and how it impacts businesses.

Topic 8: Exploring the effectiveness of e-commerce laws and legislation as a deterrent to cyber attacks.

Research Aim: This research will understand whether or not e-commerce laws and legislation act as a deterrent to computer attacks and how effective they have been.

Topic 9: The implications of the Data Protection Act 1988 for e-businesses

Research Aim: This research will aim to understand the implications of the Data Protection Act 1988 for e-commerce businesses of today.

Topic 10: An analysis of the lawfulness of the e-commerce industry

Research Aim: This research will explore in-depth the laws and legislation related to e-commerce and how well they are adopted and implemented by e-commerce businesses.

Mobile E-commerce Dissertation Topics

Studies performed on e-commerce by various researchers reveal that mobile e-commerce will be the next “big thing” in the e-commerce industry.

With smartphones being the emerging and driving force in technology, the use of the internet in today’s world is not limited only to desktops and laptops. All smartphones using android and IOS applications allow users to browse the internet.

Consequently, more and more retailers are upgrading their websites to make them responsive and friendlier to mobile visitors. In this regard, some savvy e-commerce retailers are developing delivery mechanisms that satisfy the new platform’s needs.

Thus, it will be interesting to explore this aspect of e-commerce as it will give an insight into the current e-commerce industry. Here are some interesting mobile e-commerce dissertation topics that you can choose from.:

Topic 1: Wireless security and its effectiveness in the e-commerce Industry

Research Aim: This research will explore the concept of wireless security and how it helps the e-commerce industry.

Topic 2: Analysing the use of m-commerce by customers today – Understanding their adoption pattern

Research Aim: This research will aim to understand the e-commerce adoption rate and what compels customers to move towards m-commerce.

Topic 3: Investigating m-commerce strategies employed airline sector in the UAE

Research Aim: This research will investigate the m-commerce strategies that are employed by the airline sector in the UAE.

Topic 4: Analysing m-commerce innovation in the travel sector of the UK

Research Aim: This research will analyse the quick adoption rate of m-commerce rate in the travel sector in the UK.

Topic 5: Combining the benefits of m-commerce with the benefits of traditional commerce and e-commerce – A study of any multi-national retailer

Research Aim: This research will present a comparative analysis of traditional commerce and e-commerce and how multinationals benefit from it. This topic can be customised to a country or company of your choosing.

Topic 6: The effects of m-commerce on economic development in Europe

Research Aim: There is no doubt that e-commerce and m-commerce have played a huge role in developing economies. This research will investigate the impact of m-commerce on Europe’s economic development.

Topic 7: Trust and security issues in m-commerce: How companies can overcome them

Research Aim: This research will present some major trust and security issues associated with m-commerce and explore how companies can overcome these challenges.

Topic 8: The impact of m-commerce user interface on companies’ revenues

Research Aim: This research will first understand the importance of user interface in m-commerce and will then assess its impact on the company’s profitability.

Topic 9: Understanding the role and importance of data security in m-commerce – How it can be ensured

Research Aim: Just like e-commerce, m-commerce also has its own data security issues. This research will understand the role of the importance of data security and discuss how it can be ensured.

Topic 10: Generating revenue through m-commerce – Challenges and opportunities

Research Aim: This research will understand the challenges and opportunities associated with revenue generation through m-commerce.

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Important Notes:

As a student of e-commerce looking to get good grades, it is essential to develop new ideas and experiment with existing e-commerce theories – i.e., to add value and interest in your research topic.

The field of e-commerce is vast and interrelated to so many other academic disciplines like business , marketing , management , and even project management . That is why it is imperative to create an e-commerce dissertation topic that is particular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation as you may end up in the cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best e-commerce dissertation topics that fulfil your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and can also be practically implemented. Take a look at some of our sample e-commerce dissertation topics to get an idea for your own dissertation.

How to Structure your E-commerce Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgements
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analyzing published and unpublished literature on the chosen research topic to address research questions . The purpose is to highlight and discuss the selected research area’s relative weaknesses and strengths while identifying any research gaps. Break down the topic and key terms that can positively impact your dissertation and your tutor.
Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
Findings and Analysis : Findings of the research are analyzed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion : The researcher presents his interpretation of the results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is establishing the link between the results and evidence from the literature. Recommendations with regards to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References : Make sure to complete this following your University’s requirements
Bibliography
Appendices : Any additional information, diagrams, and graphs used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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Frequently Asked Questions

How to find dissertation topics about e-commerce.

For E-commerce dissertation topics:

Examine emerging trends in online business.
Investigate consumer behavior and preferences.
Analyze impacts of technology on E-commerce.
Explore security and privacy concerns.
Study E-commerce strategies and marketing.
Choose a specific area aligning with your expertise and curiosity.