business information systems research topics

How it works

Useful Links

How much will your dissertation cost?

Have an expert academic write your dissertation paper!

Dissertation Services

Get unlimited topic ideas and a dissertation plan for just £45.00

Order topics and plan

Get 1 free topic in your area of study with aim and justification

Yes I want the free topic

Business Information Technology Dissertation Topics

Published by Owen Ingram at January 4th, 2023 , Revised On August 15, 2023

Information technology stands out as one of the latest discoveries of the twenty-first century. According to researchers, technology is currently undergoing an era of transformation. Yet, despite all the hype, many students struggle to figure out a topic for their degree specifically in Information Technology or combined with business courses as business information technology.

Nonetheless, we are right here to direct our students and show them a ray of hope. A comprehensive list of advanced dissertation topics in the field of business information technology is provided below for our students to pick a topic that suits their interests and research.

International Development Dissertation Topics
Cooperate Governance Dissertation Topics
Business Intelligence Dissertation Topics
International Business Dissertation Topics
Business Management Dissertation Topics
Business Psychology Dissertation Topics
Business Law Dissertation Topics
Project Management Dissertation Topics
Business Dissertation Topics
HRM Dissertation Topics
Management Dissertation Topics
Operations Management Dissertation Topics

Below Are Some Business Information Technology Dissertation Topics:

A literature analysis on the information quality management framework
A comprehensive investigation of the information system hierarchy
Big data and business intelligence are essential for sustainable development in organizations: Discuss a UK-based perspective
Correlation between Information systems management and risk management infrastructure to achieve business risk resilience
Impact of the Coronavirus on the management of X country’s information systems
The function of structured versus unstructured data in managing information systems
A review of the literature on the management of business intelligence and information systems
Pre- and post-COVID analysis of the impact of information systems on organizational performance
Implementing IT governance and managing information systems
A descriptive overview of IS strategic planning and management services
A review of the literature on international information system security
Information systems management historical analysis focusing on the last three decades
The part that planning, alignment, and leadership play in information systems management
A systematic review of the post-COVID era for information systems management research
Difficulties and possible challenges in the International management of Information systems
A thorough analysis of information policy and global information systems management
How to handle data management in the era of 5G technologies
Human-computer interaction’s effect on innovations
How does machine learning introduce students to more modern career opportunities?
Consider the use of molecular information systems in biotechnology
How information technology has aided in the processing of natural language
What are the most recent advancements in software engineering and programming languages?
An examination of new potential in the robotics industry.
What factors should I take into account while buying a bandwidth monitor?
How do we develop a efficient clinic management system for intensive care?
Reasons why e-waste management solutions should be used worldwide ASAP
Motives for why cyberbullying persists in modern communication technologies
Interpersonal communication has changed as a result of the development of information technology
The effect of 3D printing on medical practice
How well do colleges and universities produce qualified computer scientists using robots in infectious disease units?
How ethical hacking has become more harmful
Why having specialized financial systems is important
What is the best security precaution: A fingerprint or a serial number?
How to strengthen patent protection for technical advances?
An overview of the many software security measures

Do you have a dissertation topic in the field of business information technology? If not, our competent dissertation writers are at your disposal. The importance of technology research cannot be overstated. Several students are required to complete their information technology dissertations.

Our well-qualified dissertation writer offers research topics in the field of information technology to these students. Such assistance includes writing a dissertation and finding significant and relevant dissertation topics. Place your order now to enjoy our services!

Free Dissertation Topic

Phone Number

Academic Level Select Academic Level Undergraduate Graduate PHD

Academic Subject

Area of Research

Frequently Asked Questions

How to find business information technology dissertation topics.

To find business information technology dissertation topics:

Examine emerging IT trends.
Investigate industry challenges.
Explore digital transformation effects.
Analyze data security concerns.
Review AI and automation impacts.
Select a topic aligning with business and tech intersections.

39 Information Systems Dissertation Topics Ideas

February 20, 2022

Dr Jana Martiskova

Click here to place an order for topic brief service to get instant approval from your professor.

Table of Contents

As the name depicts, information systems dissertation topics revolve around the information technology sphere of organizations and industries. Information systems research topics include both primary as well as secondary levels of research studies and their complexities differ in accordance with the academic and degree levels at hand.

Best Information Systems Dissertation Topics Ideas for College Students

Given below is an extensive and enriched list of information systems thesis topics for our clients so that they go through the list and find something as per their interest and priority:

A historical analysis of information systems management: focus on the past three decades.
The role played by leadership, alignment, and planning in the domain of information systems management.
Research in information systems management: focus on post-COVID time period.
International information systems management: potential challenges and risks involved.
Information policy and international information systems management: a systematic analysis.
Information systems management and global operations: a review of the literature.
Importance of case studies and integrated projects in teaching information systems management.
A comparative analysis of practitioners and academicians in the field of information systems management.
How information technology supports businesses: the role played by information systems management.
Information systems management practices: a descriptive analysis.
Information systems management and the public sector: focus on the key issues.
Utilization of consumer internet data: ethics in information systems management.
Software development: groupware and problem-solving in a correlational analysis.
Research in the field of information systems management: focus on new innovations and ideas.
Cognition digital twins for personalized information systems of smart cities: Proof of concept
Information management systems: comparing private and public organizations in country X.
Machine learning-based diagnosis of diseases using the unfolded EEG spectra: toward an intelligent software sensor.
Relationship between information systems management and risk management systems: a comparative analysis.
Judging the IT department performance in an organization through information systems management.
Information systems management graduate school curriculums: a descriptive study.
Relationship between organizational learning and information systems management: a systematic analysis.
Quality management in the domain of information systems: a descriptive analysis.
Management of big data in developing countries of the world: a review of the literature.
Strategic information systems management: focus on the role of a balanced scorecard.
Delivery of information system: formation of a hypothetical framework.
Information quality management framework: a review of the literature.
Information systems hierarchy: a systematic analysis.
Importance of big data and business intelligence for the sustainable development in organizations: a UK-based approach.
Correlation between information systems management and risk management infrastructure to attain business risk resilience.
Effects of COVID-19 pandemic on the information systems management of X country.
Role of structured versus unstructured data in the domain of information systems management.
Business intelligence and information systems management: a review of the literature.
Effects of information systems on organizational performance: pre and post COVID analysis.
The Determinants of management information systems effectiveness in small-and medium-sized enterprises.
IT governance implementation and information systems management.
IS strategic planning and management services: a descriptive review.
Information system security at international levels: a review of the literature.
Developing a hypothetical model for measuring quality in information systems management.
The effects of information systems compatibility on firm performance following mergers and acquisitions
Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic

Above is the best list of Information Systems Dissertation Topics, If you are still looking for some unique information systems dissertation topics fill out the form below and get the topic mini proposal on your requirements.

Paid Topic Mini Proposal (500 Words)

Undergraduate.

You will get the topics first and then the mini proposal which includes:

An explanation why we choose this topic.
2-3 research questions.
Key literature resources identification.
Suitable methodology including raw sample size and data collection method
View a Sample of Service

Note: After submitting your order please must check your email [inbox/spam] folders for order confirmation and login details. If the email goes in spam please mark not as spam to avoid any communication gap between us.

Get An Expert Dissertation Writing Help To Achieve Good Grades

By placing an order with us, you can get;

Writer consultation before payment to ensure your work is in safe hands.
Free topic if you don't have one
Draft submissions to check the quality of the work as per supervisor's feedback
Free revisions
Complete privacy
Plagiarism Free work
Guaranteed 2:1 (With help of your supervisor's feedback)
2 Instalments plan
Special discounts

Business information systems research

We are dedicated to developing collaborations with the business community through qualitative, engaged research approaches to a wide range of phenomena of organising with digital technology.

Our work with industry partners extends from short-term engagements such as workshops and events to consulting, directly funded research in partnerships, and larger public-private funded initiatives such as Australian Research Council Linkage Projects.

We are known for our influential, analytical thinking on matters of information technology design, implementation, management and use, at the intersection of people, work practices and organisation.

Generally, we take a balanced and socio-technical view of technology with a sensitivity for both new opportunities from digital innovation and transformation for individuals, business and society, as well in relation to matters of individual privacy, agency and freedom, market disruptions, or power and inequality in organisations and society.

Our areas of interest include:

agile project management
algorithmic management
assurance and accountability
business intelligence
change management
data privacy
digital innovation, transformation and disruption
enterprise systems
information governance
research methods
risk management
social media
sustainability
systems interoperability
the future of work
the philosophy of technology.

We are home to the newly founded Motus Research Lab , which explores the role of new visual interfaces and artificial intelligence in increasing trust and emotive user involvement with technological devices. Our aim is to improve service effectiveness in areas such as business advisory, healthcare, education and personal assistance. The lab has a strong focus on ethical and societal implications of technology, including AI personal assistance and 'digital humans'.

Meet our academics and research students.

Head of Discipline

Professor Carol Hsu

Deputy Heads of Discipline

Dr Sebastian Boell (Education)

Associate Professor Manoj Thomas (Research)

Professor John Buchanan

Professor Uri Gal

Professor Dirk Hovorka

Professor Kai Riemer

Professor Daniel Schlagwein

Associate Professor Daniel Gozman

Associate Professor Catherine Hardy

Associate Professor Sandra Peter

Associate Professor Manoj Thomas

Senior Lecturers

Dr Sebastian Boell

Dr Raffaele Ciriello

Dr Petri Hallikainen

Corina Raduescu

Dr Mike Seymour

Dr Malmi Amadoru

Sandra Dwyer

Dr Evelyn Ng

Dr Julian Prester

Dr Mylène Struijk

Honorary and emeritus staff

Honorary professors.

Professor Emeritus Deborah Bunker

Professor Robert Johnston

Professor Karl Kautz

Professor Allen Lee

Professor Suprateek Sarker

Honorary Senior Principal Research Fellow

Linda Levine

Higher degree by research students

View our current higher degree by research students .

Research groups

Digital disruption research group, communications and technology for society research group, research seminars.

The Discipline of Business Information Systems seminar series is organised by Dr Mylène Struijk .

2018 seminars

Digital eco-innovation in uk municipalities: an institutional perspective.

28 November 2018
Professor Ray Hackney, Brunel University London

Anthropogenic climate change threatens human society on a global scale. The scientific consensus is that greenhouse gas emissions (GHG) related to human activities are the cause. This paper argues that municipalities need to focus on eco-sustainability objectives if GHG are to be reduced.

Exploring the role of trust and privacy on e-Government adoption

Date: 5 September 2018 at 10am
Venue: Rm 5040, Abercrombie Building (H70)
Speaker: Professor Lemuria Carter, University of New South Wales

Crafting theory to satisfy the requirements of interpretation

Date: 1 August 2018 at 10am
Venue: Rm 4150, Abercrombie Building (H70)
Speaker: Professor Emeritus Allen Lee, Virginia Commonwealth University; Associate Professor Dirk Hovorka, The University of Sydney

The emergence of new product categories within stigmatised industries: The case of e-Cigarettes

Date: 6 June 2018 at 10am
Speaker: Raghu Garud, Pennsylvania State University

Taming our algorithms: A critical review of people analytics

Date: 30 May 2018 at 10am
Speaker: Associate Professor Uri Gal, University of Sydney Business School

Researcher perspective in the 'Basket of 8' IS journals: A weakness in disciplinary scope?

Date: 2 May 2018 at 10am
Speaker: Prof Robert Davison, City University of Hong Kong

2017 seminars

The role of social media in disaster response.

Date: 31 October 2017 at 10am
Venue: Rm 4022, Abercrombie Building (H70)
Speaker: Dr Rajib Subba, Westcliff University

IoT Design Challenges and the Social IoT Solution

Date: 25 October 2017 at 9.30am
Speaker: David Goad, The University of Sydney Business School

Revising “Architecture as a reference discipline for MIS”

Date: 18 October 2017 at 10am
Venue: Rm 5050, Abercrombie Building (H70)
Speaker: Professor (Emeritus) Allen Lee, Virginia Commonwealth University

Developing Indigenous theory

Date: 17 October 2017 at 10am
Speaker: Professor Robert Davison, City University of Hong Kong

Sports digitalisation: A new game for IS research

Date: 7 October 2017 at 10am
Speaker: Associate Professor Xiao Xiao, Copenhagen Business School

Building a Dynamic Picture of Disaster Recovery

Date: 6 September 2017 at 10am
Speaker: Professor Deborah Bunker; Dr Linda Levine, University of Sydney Business School

IT, Information, and Organisational Change

Date: 30 August 2017 at 10am
Speaker: Dr Sebastian Boell, University of Sydney Business School

MEETMIKE: Actors, Agents and Avatars

Date: 16 August 2017 at 10am
Speaker: Mike Seymour, Business Information Systems, University of Sydney Business School

Designing business systems in complex and disruptive environments

Date: 14 June 2017 at 10am
Speaker: Professor Igor Hawryszkiewycz, University of Technology, Sydney

Exploring the sources and persistence of ineffectiveness in professional online communities

Date: 19 May 2017 at 10am
Venue: Rm 5070, Abercrombie Building (H70)
Speaker: Professor Chee-Wee Tan, Copenhagen Business School

What makes technology-driven innovation disruptive? The role of interpretive discontinuity

Date: 17 May 2017 at 10am
Speaker: Professor Kai Riemer, University of Sydney Business School

The bitcoin game: Ethno-resonance as method

Date: 10 May 2017 at 10am
Speaker: Professor Donncha Kavanagh, University College Dublin

The opportunities and challenges of big data and algorithmic decision making

Date: 12 April 2017 at 11am
Speaker: Professor Sue Newell, University of Sussex

From IS plans to IS strategising: Lessons from the past; an agenda for the future

Date: 12 April 2017 at 10am
Speaker: Professor Bob Galliers, Bentley University

Unpacking the enigma of theory

Date: 5 April 2017 at 2pm
Speaker: Professor Jörgen Sandberg, School of Business, University of Queensland

Entering the digital: Exploring prototype ambiguity and membership Gestalts in movement organisations

Date: 22 March 2017 at 10am
Speaker: Professor Lisen Selander, University of Gothenburg

Towards a typology of relevance

Date: 15 March 2017 at 10am
Speaker: Dr Kaveh Mohajeri, Department of Informatics, Lund University School of Economics and Management

Strategy and the moral dimension of practice: Developing strategy-as-practice through virtue ethics

Date: 15 February 2017 at 10am
Speaker: Professor Haridimos Tsoukas, Warwick Business School, University of Warwick

A collaborative approach to innovation research: A presentation about the KIN Research Group at VU, Amsterdam

Date: 1 January 2017 at 11am
Speaker: Professor Marleen Huysman, Vrije Universiteit Amsterdam

Collaborate with us

Postgraduate research, karen hunter.

+61 2 9036 9432
[email protected]

Work with us

Related news, how to improve australian technological innovation, anti-social media: what can be done to stop platforms from driving democratic societies apart, ai chatbots are coming to your workplace but are not necessarily coming for your job.

78 MIS Topics for Presentations and Essays

🏆 best management information systems project ideas, 🎓 interesting topics related to information systems, ✅ simple & easy mis assignment topics.

Samsung Company’s Management Information System The scope of Management Information System is defined as, “The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […]
The Role of Management Information System (MIS) in Business The diagram below shows the relationship between the departments and underpins how the manual system which is used to conduct the primary and secondary activities within the departments is related to the performance of each […]
Management Information System Implementation in the Bank This conforms to the first principle of change in which a person is adjusted via a change in the system that they work in.
Management Information Systems: Making Strategic Decisions The company will create a model of the relationship between all the pieces of information in the group. In this regard, the organization employs MISs in order to complete and integrate a series of elements […]
Management Information Systems: Effective Decision-Making and Security Through taking into account the different organizational levels within an organization management information systems are classified into four main types, namely, operational level systems, knowledge level systems, management level systems and strategic level systems. Management […]
ABC Company Management Information System Increasing the presence of the firm’s products to specific segments of clients provides the customers with seamless shopping experience in the business’s physical and online stores.
Management Information Systems and Enterprise Resource Planning In addition to heavy investment in the staff who left, their departure led to delay in the areas they were in charge of as well as repeating some of the steps already done during the […]
Management Information Systems Analysis and Design The progress of this project will be based on a simple definition of a management information system which would be: a computer based system that provides flexible and speedy access to accurate data.
Management Information System: Cisco Systems Prior to the implementation of the ERP system, the company’s systems were on the brink of failure. The management of the company understood the need for the company to shift to a new ERP system.
Management Information Systems and E-Government In the developing countries, it has been of much surprise to notice that, the failures of e-government project, is a problem that is real and much practical.
Management Information Systems: Mitsubishi Motors A management information system is considered as one of the most effective and successful systems that are able to provide the necessary information in order to promote the development and management of any organization in […]
Management Information Systems Benefits in Business This has helped this firm to achieve competitive advantage in the market because it is always aware of the needs of its customers. To manage this threat, ABC has discounted and differentiated its products in […]
Management Information Systems in Organizational Performance The information system has enabled the organisation to solve problems like inappropriate use of time, increased expenditure, and customer dissatisfaction. Management information system is an important tool that can be used to shift the cost […]
Management Information Systems: Socio-Technical Aspect Software: This component stands for programs that are used to operate the MIS, manage data, search and cipher through logs, and other related activities.
Health Management Information Systems: Impact on the Technology Implementation Since the beginning of the information systems implementation, the vast majority of spheres have adopted some cutting-edge technologies to increase the effectiveness of their working process.
Management Information Systems (MIS) The advances in the evolution of devices and the achievement of a new stage of development critically impacts MIS and creates the basis for the emergence of multiple changes towards the achievement of better outcomes […]
Chalhoub Group: Management Information Systems This presentation will focus on one organization in UAE, highlighting how its improved IS/IT systems have helped it register massive profits.
Healthcare Management Information Systems: Working Principles For instance, the ministry of health uses the network to disseminate health information to people in all regions and also globally.
Healthcare Management Information Systems: An Evaluation In this perspective, the Chief Information Officer survey therefore becomes important for the Health Management Information System industry because it assist health institutions to project current and future informational and technological needs, not mentioning the […]
Accounting and Management Information Systems This article is a discussion of the results obtained by Mangiuc in an empirical study that involved both local and foreign companies in Romania.
Management Information Systems: Primis Online System at McGraw Hill This paper focuses on the analysis, design and system development elements applied by the Primis team in deployment of the online system at McGraw Hill.
Imperial Tobacco. Management Information System – Competitive Forces This means that the management at Imperial Tobacco needs to develop products that can compete with the new products for them to maintain their position in the market.
Management Information Systems: Ethics and Career Path The second one is the group of skills necessary to vivificate information, and the last one is meant to reason in a proper.
Management Information System and Outsourcing According to these critics, there is a need for some of the currently outsourced services to be performed in the home country.
“Management Information Systems” by James O’Brien and George M. Marakas This is a network or sub-network with a high speed that interconnects different types of data storage devices that have associated data servers on behalf of a larger network of users. Through this, data can […]
Management Information Systems and Its Impacts As thus, it is the obligation of the employees so see to it that they acquire the necessary knowledge and skills; otherwise, they will be washed out of the company system.
Management Information Systems: Efficiency and Collaboration In addition, it is important to stress out that Microsoft Access allows a more flexible retrieval of data even when the volume of data gets high.
Fly Dubai Company’s Management Information Systems Data from the company’s website and its associated pilot training website outline the main sources of primary information. Identity refers to the ease that websites explain the nature, history, and values of a company.
Relevant Decision Making: Management Information Systems in Organizations In this respect, managers are likely to make wrong decisions, especially, if they are unaware of the inaccuracy of the information provided by the system.
Management Information System and Strategic Performance According to his assumption, the higher the demographic diversity in top management team, the greater the contribution of accounting system to strategic performance.
Management Information Systems in Corporate Institutions With the invention of personal computers and other information technology tools, the companies had to develop a proper information technology system that would handle the work of the organization and reduce the errors that were […]
Types of Management Information Systems in Business Generally, a TPS is used to process the data that is required to update the records about the operations of a business.
Management Information Systems: LinkedIn Corporation It highlights how information technology has been used in management, the general operations of the organization as well as how the use of information systems has helped the organization to attain a competitive edge.
Management Information Systems and Business Decision-Making The article explains to its audience the importance of promoting and adapting the use of information systems to ensure that managers get the latest information in time.
Management Information System in Business The main importance of information system to any modern organization is to store its data and that of its associates and customers in a secure manner.
Management Information Systems Major: Courses and Careers Knowledge on Management information systems is vital to institutions on a management height, where it is employed to preserve and build up new techniques for organizing vast amounts of information and helping managers in the […]
Management Information System: Operational Efficiency and Decision-Making The customers as well are in a position to be aware of the status of their deliveries by logging in to the company’s website which is updated by the servers throughout.
Bespoke Management Information Systems Using Microsoft Access
Management Information System in Starbucks: IBM TPS System
Logistics Management Information Systems: Functions, Components, Examples
The Management Information Systems of Toyota: New Methods and Accomplish Business Goals
Management Information Systems for Shipping and Delivery Company
Management Information Systems of the Small and Medium Enterprises
Management Information Systems in Marketing: Kotler’s Model
Barriers to Successful Development of Strategic Management Information System
Management Accounting Information System: Auditing and Financial Reporting Modules
Warehouse Management Information System: Optimizing the Use of Available Space or Coordinating Tasks
Management Information Systems in Hospitals: Accounting for the Control of Doctors
Management Information Systems Through User Interface
Project Management Information System: Using More Efficiently, Without Getting Overwhelmed With Data
Information Management Systems in the Supply Chain
How Management Information Systems Affect Working Ethics
Human Resource Management System: The Best Tools in 2022
Management Information System for Real Estate and Property Management
Management Information System: Advantages and Disadvantages
The Technology of Information Management System
Management Information Systems for Computer-Aided Design
Management Information Systems: Enterprise Applications
The History of Management Information Systems: Five Eras
Management Information System: Development Process With System Development Life Cycle
Credit Management Information Systems: A Forward-Looking Approach
Common Problems in Management Information Systems
Management Information Systems at Rosenbluth Travel: Competitive Advantage in a Rapidly Growing Global Service Company
Why Can Management Information Systems Effectiveness Decreases
Management Information Systems: The Difference Between Advanced MIS and MI Dashboard
Developing Decision Support Capabilities Through the Use of Management Information Systems
Using National Education Management Information Systems to Make Local Service Improvements: The Case of Pakistan
How Might a Management Information System Be Used in a School
The External Organizational Environment and Its Impact on Management Information Systems
Management Information Systems: Managing the Digital Firm by Kenneth Laudon, Jane Laudon
The Disadvantage of Management Information System: Fraudulent Activities
Management Information Systems: Impact on Dairy Farm Profitability
Which Country Is Best in Management Information System
Management Information Systems Program for Poughkeepsie Children’s Home
Relationship Between Management Information Systems and Corporate Performance
Management Information Systems: Air Canada Takes off With Maintenix
Farm Management Information Systems Planning and Development in the Netherlands
Cyber Security Topics
Encryption Essay Titles
Hacking Essay Topics
Information Management Paper Topics
Quality Control Research Topics
Security Management Essay Ideas
Virtualization Essay Titles
Software Engineering Topics
Chicago (A-D)
Chicago (N-B)

IvyPanda. (2023, November 30). 78 MIS Topics for Presentations and Essays. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/

"78 MIS Topics for Presentations and Essays." IvyPanda , 30 Nov. 2023, ivypanda.com/essays/topic/management-information-systems-essay-topics/.

IvyPanda . (2023) '78 MIS Topics for Presentations and Essays'. 30 November.

IvyPanda . 2023. "78 MIS Topics for Presentations and Essays." November 30, 2023. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/.

1. IvyPanda . "78 MIS Topics for Presentations and Essays." November 30, 2023. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/.

Bibliography

IvyPanda . "78 MIS Topics for Presentations and Essays." November 30, 2023. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/.

Enroll & Pay
Prospective Students
Current Students

Analytics, Information, Operations research

Research information

The Analytics, Information, Operations (AIO) academic area includes faculty who are experts in topics such as business analytics, information systems and supply chain management, as well as former industry professionals whose experience supplements our curriculum.

AIO faculty regularly publish in leading academic journals and lend their expertise to regional and national media. Their intellectual contributions generate new knowledge and understanding, particularly as industries continue to rely more heavily on data-driven decision making.

Area directors

Debabrata Dey, Davis Area Director
Detelina Stoyanova, Assistant Area Director

Degree programs

Business analytics B.S.B.
Information systems B.S.B.
Supply chain management B.S.B.
Master's in Business Analytics
Master's in Supply Chain Management & Logistics
Ph.D. in Analytics and Operations

Research topics

Data mining

Machine learning

Information security

Supply chain management

Healthcare information systems

In the Media

How to address the supply-chain staffing crisis

Disruptor Daily

What is the future of supply chain management 16 experts share insights.

Inbound Logistics

What's the difference between supply chain visibility and transparency.

Academic Minute

Mazhar arikan, university of kansas, talks baggage fees, recent research & news.

Study examines strategies to improve effect of parking time on last-mile deliveries

Workplace 'slavery' still embedded in supply chain, researcher says

Business advantages of customers using 'personal fabrication' in 3D printing

Pandemic altered predictability of stock market, according to social media data

Analytics, Information, Operations faculty

How to Select Mechanical Engineering Research Topics?

Table of Contents

Selecting the right mechanical engineering research topics is crucial for driving impactful innovation and addressing pressing challenges. Here’s a step-by-step guide to help you choose the best research topics:

Identify Your Interests: Start by considering your passions and areas of expertise within mechanical engineering. What topics excite you the most? Choosing a subject that aligns with your interests will keep you motivated throughout the research process.
Assess Current Trends: Stay updated on the latest developments and trends in mechanical engineering. Look for emerging technologies, pressing industry challenges, and areas with significant research gaps. These trends can guide you towards relevant and timely research topics.
Conduct Literature Review: Dive into existing literature and research papers within your field of interest. Identify gaps in knowledge, unanswered questions, or areas that warrant further investigation. Building upon existing research can lead to more impactful contributions to the field.
Consider Practical Applications: Evaluate the practical implications of potential research topics. How will your research address real-world problems or benefit society? Choosing topics with tangible applications can increase the relevance and impact of your research outcomes.
Consult with Advisors and Peers: Seek guidance from experienced mentors, advisors, or peers in the field of mechanical engineering. Discuss your research interests and potential topics with them to gain valuable insights and feedback. Their expertise can help you refine your ideas and select the most promising topics.
Define Research Objectives: Clearly define the objectives and scope of your research. What specific questions do you aim to answer or problems do you intend to solve? Establishing clear research goals will guide your topic selection process and keep your project focused.
Consider Resources and Constraints: Take into account the resources, expertise, and time available for your research. Choose topics that are feasible within your constraints and align with your available resources. Balancing ambition with practicality is essential for successful research endeavors.
Brainstorm and Narrow Down Options: Generate a list of potential research topics through brainstorming and exploration. Narrow down your options based on criteria such as relevance, feasibility, and alignment with your interests and goals. Choose the most promising topics that offer ample opportunities for exploration and discovery.
Seek Feedback and Refinement: Once you’ve identified potential research topics, seek feedback from colleagues, advisors, or experts in the field. Refine your ideas based on their input and suggestions. Iteratively refining your topic selection process will lead to a more robust and well-defined research proposal.
Stay Flexible and Open-Minded: Remain open to new ideas and opportunities as you progress through the research process. Be willing to adjust your research topic or direction based on new insights, challenges, or discoveries. Flexibility and adaptability are key qualities for successful research endeavors in mechanical engineering.

By following these steps and considering various factors, you can effectively select mechanical engineering research topics that align with your interests, goals, and the needs of the field.

Step by Step Guide on The Best Way to Finance Car

The Best Way on How to Get Fund For Business to Grow it Efficiently

A Fashionable Topic with(out) Sustainable Relevance for Research and Practice?

Published: 14 February 2013
Volume 5 , pages 65–69, ( 2013 )

Cite this article

business information systems research topics

Hans Ulrich Buhl 1 ,
Maximilian Röglinger 1 ,
Florian Moser 1 &
Julia Heidemann 2

29k Accesses

94 Citations

Explore all metrics

Avoid common mistakes on your manuscript.

“ To make money, you’ve got to predict two things—what’s going to happen and what people think is going to happen. ”

When looking at the words of Hal Varian, Google’s Chief Economist and professor emeritus at the University of California, Berkeley, thinking of Big Data seems natural. Big Data – a dictum which currently seems to be on everyone’s lips – has recently developed into one of the most discussed topics in research and practice. Looking at academic publications, we find that more than 70 % of all ranked papers which deal with Big Data were published within the last two years (Pospiech and Felden 2012 ) as well as nearly 12,000 hits for Big Data on GoogleScholar across various fields of research. In 2011, more than 530 academic Big Data related publications could be counted (Chen et al. 2012 ). We find more hits for “Big Data” than for “Development aid” in Google, and almost daily an IT-related business magazine publishes a Big Data special issue next to a myriad of Big Data business conferences. In Gartner’s current Hype Cycle for Emerging Technologies (Gartner 2012 ), Big Data is right on the peak of its hype phase, and according to this source a broad adoption is to be expected within the next five years. Big Data provokes excitement across various fields such as science, governments, and industries like media and telecommunications, health care engineering, or finance where organizations are facing a massive quantity of data and new technologies to store, process, and analyze those data. Despite the cherished expectations and hopes, the question is why we face such excitement around Big Data which at first view rather seems to be a fashionable hype than a revolutionary concept. Is Big Data really something new or is it just new wine in old bottles seeing that, e.g., data analytics is doing the same type of analysis since decades? Do more data, increased or faster analytics always imply better decisions, products, or services, or is Big Data just another buzzword to stimulate the IT providers’ sales? Taking the traditional financial service industry, which currently cherishes huge expectations in Big Data, as an example, the collection of massive amounts of data via multiple channels for a long time was part of the business model to customize prices, product offers, or to calculate credit ratings. However, improving financial services by exploiting these huge amounts of data implied constant updating efforts, media disruptions and expensive acquisition and processing of data. Hence, more data resulted in expensive data management, in higher prices for products or services as well as in inconvenient processes regarding the customers’ data entry. Hence, instead of the traditional universal banks that focused on a data-intensive business model, direct banks with a higher grade of standardization and IT support as well as a focus on (very few) key customer data often enough have become more successful. Focusing solely on pure IT-based data acquisition, processing and analysis to save costs on the other side is virtually impossible in industries such as banking due to an intense personal contact. Besides, neither in the financial service industry nor in other industries do more data automatically lead to better data, better business success, better services, better decisions, or (more) satisfied customers. Above all, Big Data brings a lot of still unresolved challenges regarding the volume, velocity, variety, and veracity of data, which should not be underestimated. Often enough, more data even lead to a certain amount of “data garbage” which usually is more easily and better recognized and managed by employees rather than by analytics software (veracity). Additionally, the management of various sources of data such as from, e.g., mobile applications, online social networks, or CRM systems is far from trivial (variety). The high data traffic brings along the challenge of archiving, retrieving, and analyzing huge amounts of data in real-time (volume and velocity). Unsurprisingly, nearly every second Big Data project is canceled before completion (Infochimps 2013 ). And as if these challenges were not enough, we additionally see a myriad of different legal privacy restrictions in different countries turning into one of Big Data’s most serious challenges. Despite a customer generation which is increasingly losing its inhibition to distribute private data in virtually every place in the web, country-specific privacy laws and a significant number of customers who are not willing to have their private data stored for a long time might seriously impede Big Data approaches and threaten corresponding business models.

In view of this development, is Big Data really “the next big thing” with substantial economic impact and technological significance within the next decade as currently promoted in research and practice? Yes and No – although Big Data currently might provoke exaggerated expectations, labeling it purely as a fashionable topic for existing concepts may be just the easy way out when we consider the following developments: The amount of data that is produced each day already exceeds 2.5 exabytes (McAfee and Brynjolfsson 2012 ). The bidirectional telecommunications capacity is growing by almost 30 % per year and the globally stored information is increasing more than about 20 % per year (Hilbert and López 2011 ). The turnover in the Big Data segment is expected to increase by more than 400 % to 16 billion Euros in 2016 (Computerwoche 2012 ). Looking at these points, the relevance of Big Data for academic and practical initiatives which regard this new era of data as a chance rather than a threat becomes obvious. As in his view data are becoming one of tomorrow’s most valuable goods for offering adequate products or services to customers, Jürgen Fitschen (Co-Chairman Deutsche Bank) even considers companies like Google or Microsoft as Deutsche Bank’s main future competitors of tomorrow (Deutsche Bank 2013 ). Indeed, driven by technological developments like, e.g., mobile and sensor-based content, various possibilities emerge for companies and governments (e.g., market intelligence, public safety) as well as for research (e.g., network analytics, mobile analytics) (Chen et al. 2012 ). In fact, some companies such as the mail order company Otto already exploit their huge volume of data successfully. On the basis of more than 300 million data sets per week, Otto performs more than one billion forecasts per year to predict the sales of certain articles in the next days and weeks. This enables Otto to decrease the inventories on average by 30 % (Fischermann and Götz 2013 ). Others such as the American broadband and telecommunications company Verizon have more visionary ideas which almost go into the direction of an Orwellian society. Verizon has applied for a patent in which a home entertainment system sends couple therapy advertisements to a television or a mobile device as soon as it recognizes a couple arguing. Alternatively, the system sends advertisements for a romantic weekend or contraceptives in case the couple is cuddling (Fischermann and Götz 2013 ). Of course, future data’s volume, velocity, variety, and veracity as well as privacy concerns might appear as stumbling blocks for such wishful thinking of Big Data. However, in consideration of the following technological developments and internal efforts regarding data quality and privacy issues, companies might be able to pave the way for their individual Big Data success:

Big Data is driven by massive cost reduction in data management in combination with Moore’s law regarding processing power. New technologies such as, e.g., Quantum Computing or In Memory Database systems allow for handling new dimensions of data amounts quickly and in an economically efficient way (volume and velocity). However, it is critical to align new IT infrastructure opportunities with existing and new business processes and applications in order to be able to exploit technological infrastructure advancements.

Successful Big Data approaches require new tools such as e.g., Social, In-Memory, Text, or Semantic Analytics which allow for analyzing the new amount of different data sources from for instance online social networks, search engines, payment transactions, or all kinds of E-Commerce (variety). However, the application of such data analytics tools first requires the possibility to gain access to these new data and customer sources as well as their adaption the new data sources to existing data warehouses, reporting standards etc.

Big Data’s success is inevitably linked to an intelligent management of data selection and usage as well as joint efforts towards clear rules regarding data quality. Though new technologies allow for collecting more and more data, the future customer is not likely to be willing to enter various kind of data, e.g., in mobile product purchase. Future applications need to hold 99 % of customer data always available from various sources and only 1 % to be entered on demand by the customer. This requires high quality of the data held by the company to guarantee meaningful use of the new data entered by the customer. High data quality requires data to be consistent regarding time (e.g., across all sales channels), content (e.g., same units of measure), meaning (e.g., to avoid different meanings), and data that allow for unique identifiability (e.g., of customers), as well as being complete, comprehensible, and reliable. To this end, a clear data governance and data policy is inevitable which enables a meaningful use of the data (veracity). As data policies likely differ e.g., within different business units or countries, companies need a data governance with clear data quality policies, data quality management processes, data quality responsibilities etc. In absence of this condition, all technological infrastructure advancements, analytic tools or business models are ultimately without value for data-driven business decisions.

Big Data requires innovative approaches which view privacy concerns and different international privacy standards not as hindering restrictions, but rather as a chance to develop a competitive advantage. In a Big Data era with many different data from different sources, privacy and anonymity means more than just uncoupling surname, first name, age, and address from a dataset. Location-based data and other sources still allow for easy and clear identification and tracking.

With respect to privacy, we can still observe (too) many companies especially from Europe and Asia avoid making first moves in Big Data. Rather than to wait for the well-known global companies like Google, Amazon, or Facebook to make the first step, it is time for small and medium-sized companies worldwide to become leaders in this new emerging business area. Otherwise, we will see a second wave of digital “colonialization” and domination by these Internet giants, as we have seen after the dot-com bubble where many companies worldwide were afraid of investing in new risky business models. Certainly, companies such as Google or Facebook are in the happy position of not having to deal with the restrictions of strict privacy policies in their domestic markets compared to the manifold legal restrictions which, e.g., German companies face. Thus, at a first glance they might be ahead regarding the usage of data. However, restrictions in certain markets not always need to be disadvantageous for long-term success of an industry. Looking for instance back at the development in the automotive industry, German manufacturers far earlier had to deal with customers expecting both fuel-saving cars and high performance driving experience whereas US-based manufacturers did not have to care about fuel-efficiency due to low fuel prices in their domestic market. Today, all customers worldwide face rising fuel prices and are developing a stronger ecological awareness. The German manufacturers’ know-how in building fuel-efficient cars today is one of the reasons why Germany’s automotive industry outperforms its American counterpart. Whereas the US-based companies struggle with low market shares and a bad image in the last decades, the German manufacturers dominated the global markets and regularly realize sales records (above all in growing markets and the US). Hence, constraints can actually serve as a fertile stimulus for innovative, customer oriented and value creating solutions. Regarding Big Data, the restrictive privacy rules, e.g., in Germany can be a similar chance for companies to develop innovative business models that satisfy legal privacy restrictions and customers’ concerns and simultaneously create value for the company.

Thus, to benefit from Big Data requires changes and improvements of technological infrastructure, business processes, business applications as well as an incremental change in the business model of the company, including new methods to derive knowledge from data. Companies aiming at a better use of gathered data should regard this also as a cultural challenge and, e.g., focus on training employees to efficiently manage data properly and incorporate them into decision making processes. Rather than considering data simply as an input variable, their value as a company “asset” needs to be understood. To maximize this goods’ utility, data governance must ensure high data quality as required as a basis for any Big Data initiative. This might also imply the creation of some new roles, such as a Chief Data Officers or data scientists as well as rules for data-driven decisions. In view of the fact that the majority of companies rates its level of data integration maturity as (very) low or average (Forrester Research 2010 ), there is still a long way to go before companies can utilize Big Data in the way currently promoted.

As a consequence, practice is well advised to closely collaborate with researchers who follow a multidisciplinary research approach to deal with Big Data’s variety of challenges and to derive lasting business models. This inevitably raises the question of the role of Business and Information Systems Engineering (BISE) in the Big Data debate and its possible contribution to making Big Data a success without just jumping on the hype bandwagon. The design of effective and efficient application systems to process and manage large amounts of data in fact is nothing new for BISE as its former names “elektronische datenverarbeitung” (Electronic Data Processing) or “Angewandte Informatik” (Applied Computer Science) reveal. Also the data-oriented research topics during the 1970s and 1980s, shortly after companies like Software AG (1962) or SAP (1972) were founded, show a solid data-oriented research agenda that now needs to be revived and adjusted. However, new ways in analytics will in the nearer future also require a close collaboration with Operations Research, one of BISE’s most important neighboring disciplines. On our own behalf: The re-staffing of BISE’s editorial board goes in line with this future trend as it incorporates a broader range of researchers from different fields and so allows for a closer relationship with Operations Research and Operations Management research. Taking BISE’s variety of methods and its nature as a multidisciplinary research discipline as a basis, BISE can contribute to the development of Big Data from both a theoretic and a practical perspective in two domains:

New research opportunities: The emerging challenges of Big Data’s volume, velocity, variety and veracity as well as quality and privacy issues pose various research questions regarding the implications for data storage, processing and analysis, changes in applications and processes as well as new business model opportunities. Apart from very technological issues like database optimization or semantic analysis, also the management and the optimization of business processes, the economic valuation of Big Data business models and many more (e.g., privacy-preserving data analytics) need to be addressed. To this aim, BISE needs to build on its broad variety of research methods to foster its claim of being the leading research community which offers well-founded theoretical solutions transferable into practice to address the broad range of Big Data challenges.

New teaching aspects: In contrast to earlier times when most business decisions relied on internal and transactional data, the business decisions of tomorrow require the involvement of huge volumes of more and more external information and take place outside the IT functions (Chen et al. 2012 ). This and the variety of challenges, fields of applications and importance in nearly every industry calls for data experts on the one hand, but even more for well-founded and multidisciplinary knowledge of future talents and leaders on the other hand. Solely for the US, a shortfall of 1.5 million managers with know-how for data-driven decision making is expected by 2018 (Manyika et al. 2011 ). This improves BISE’s attractiveness for students from various fields such as, e.g., business, information systems, (business) mathematics, computer science or (industrial) engineering as a discipline to study or do research in. However, though many claim that data scientist is becoming the most demanded and sexiest job in the world, it is up to the BISE community to educate talents which are able to build bridges between theory and practice as well as able to deal with both technical and economic questions.

In conclusion, Big Data – besides all hype and cherished expectations as “the next big thing” – above all is a multidisciplinary and evolutionary fusion of new technologies in combination with new dimensions in data storage and processing (volume and velocity), a new era of data source variety (variety) and the challenge of managing data quality adequately (veracity). However, to render Big Data a worthwhile innovation rather than merely a gadget, companies need well-founded and innovative business models that create value for the customer and thus the company while simultaneously considering privacy restraints. Hence, both from the research and practice perspective, Big Data needs to be taken as the basis rather than a guarantor of success. For long-term success, IT infrastructure, business processes, applications as well as the business model focusing on the customer need to be completely aligned.

Chen H, Chiang RHL, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Quarterly 36(4):1165–1188

Google Scholar

Computerwoche (2012) Big data – big business. Computerwoche 43

Deutsche Bank (2013) Jürgen Fitschen im Interview mit der Börsenzeitung: “Wir brauchen paneuropäische Banken”. https://www.deutsche-bank.de/de/content/company/nachrichten_4949.htm . Accessed 2013-01-04

Fischermann T, Götz H (2013) Wer hebt das Datengold? Die Zeit, No 2

Forrester Research (2010) Global master data management online survey

Gartner (2012) Gartner’s 2012 hype cycle special report evaluates the maturity of 1,900 technologies. http://www.gartner.com/technology/research/hype-cycles . Accessed 2012-11-08

Hilbert M, López P (2011) The world’s technological capacity to store, communicate, and compute information. Science 332:60–65

Article Google Scholar

Infochimps (2013) Intelligent applications: the big data theme for 2013. http://blog.infochimps.com . Accessed 2013-01-04

Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH (2011) Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute. http://www.mckinsey.com/insights/mgi/research/technology_and_innovation/big_data_the_next_frontier_for_innovation . Accessed 2013-01-03

McAfee A, Brynjolfsson E (2012) Big data: the management revolution. Harvard Business Review

Pospiech M, Felden C (2012) Big data – a state-of-the-art. In: Proceedings of the 18th Americas conference on information systems (AMCIS), Seattle

Download references

Author information

Authors and affiliations.

FIM Research Center Finance & Information Management, University of Augsburg, Universitätsstraße 12, 86159, Augsburg, Germany

Hans Ulrich Buhl, Maximilian Röglinger & Florian Moser

McKinsey & Company, Inc., Sophienstr. 26, 80333, Munich, Germany

Julia Heidemann

You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hans Ulrich Buhl .

Additional information

This article is also available in German in print and via http://www.wirtschaftsinformatik.de : Buhl HU, Röglinger M, Moser F, Heidemann J (2012) Big Data. Ein (ir-)relevanter Modebegriff für Wissenschaft und Praxis? WIRTSCHAFTSINFORMATIK. doi: 10.1007/s11576-013-0350-x .

Rights and permissions

Reprints and permissions

About this article

Buhl, H.U., Röglinger, M., Moser, F. et al. Big Data. Bus Inf Syst Eng 5 , 65–69 (2013). https://doi.org/10.1007/s12599-013-0249-5

Download citation

Published : 14 February 2013

Issue Date : April 2013

DOI : https://doi.org/10.1007/s12599-013-0249-5

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Find a journal
Publish with us
Track your research

An official website of the United States government

Here’s how you know

Official websites use .gov A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS A lock ( Lock A locked padlock ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

https://www.nist.gov/cybersecurity

black background. light blue shield in the middle. circle of hashmarks and triangles around the shield.

Cybersecurity

NIST develops cybersecurity standards, guidelines, best practices, and other resources to meet the needs of U.S. industry, federal agencies and the broader public. Our activities range from producing specific information that organizations can put into practice immediately to longer-term research that anticipates advances in technologies and future challenges.

Some NIST cybersecurity assignments are defined by federal statutes, executive orders and policies. For example, the Office of Management and Budget (OMB) mandates that all federal agencies implement NIST’s cybersecurity standards and guidance for non-national security systems. Our cybersecurity activities also are driven by the needs of U.S. industry and the broader public. We engage vigorously with stakeholders to set priorities and ensure that our resources address the key issues that they face.

NIST also advances understanding and improves the management of privacy risks, some of which relate directly to cybersecurity.

Priority areas to which NIST contributes – and plans to focus more on – include cryptography, education and workforce, emerging technologies, risk management , identity and access management, measurements, privacy, trustworthy networks and trustworthy platforms.

Additional details can be found in these brief and more detailed fact sheets.

The Research

Projects & programs.

Exposure Notification – protecting workplaces and vulnerable communities during a pandemic

Trustworthy Networks of Things

Cryptographic module validation program (cmvp).

Cyber-Physical Systems/Internet of Things for Smart Cities

Additional resources links.

NIST Cybersecurity Framework wheel grahpic has external sections labeled Identify, Protect, Detect, Respond and Recover; internal circle is labeled Govern.

NIST Drafts Major Update to Its Widely Used Cybersecurity Framework

NIST Publishes Automated Vehicles Workshop Report

Eight images show the same person, four wearing glasses and four without, and all with different face expressions. Label says: Database Facial Expressions.

NIST Reports First Results From Age Estimation Software Evaluation

Collage of photos shows factory worker, medical equipment, person using microscope.

NIST Awards Over $1.2 Million to Small Businesses to Advance Cybersecurity, Biopharmaceuticals, Semiconductors and More

Protecting Your Small Business: Phishing

Cybersecurity Insights Blog

Check your wallet how mobile driver’s licenses are changing online transactions, latest nice framework update offers improvements for the cybersecurity workforce, protecting model updates in privacy-preserving federated learning: part two, take a tour nist cybersecurity framework 2.0: small business quick start guide, nice webinar: empowering refugee communities in cybersecurity roles, 2024 iris experts group (ieg) meeting, nist workshop on the requirements for an accordion cipher mode 2024.

Additive Construction – The Path to Standardization II

Stay in touch.

SUGGESTED TOPICS
The Magazine
Newsletters
Managing Yourself
Managing Teams
Work-life Balance
The Big Idea
Data & Visuals
Reading Lists
Case Selections
HBR Learning
Topic Feeds
Account Settings
Email Preferences

The Strategic Advantage Omnichannel Retailers Have Over Amazon

Rodney Thomas,
Travis Tokar,
Remko Van Hoek

New research suggests that encouraging in-store pickup over home delivery could lead to more profitable sales, higher market shares, and sustainability-performance gains.

The authors’ research found that by providing consumers with information on the environmental and social impact of home deliveries, omnichannel retailers could capture $100 billion worth of market share from Amazon. It would also allow them to increase margins and make their own businesses more sustainable.

The allure of online shopping is undeniable. As Amazon has shown, consumers can receive delivery of almost any product with the simple click of a mouse or touch of a screen. No wonder e-commerce sales have more than doubled over the past five years and continue to grow.

Rodney Thomas is an associate professor of supply chain management and advisor to the Customer Centric Leadership Initiative at the University of Arkansas’s Sam M. Walton College of Business.
Travis Tokar is a professor of supply chain management at Texas Christian University’s Neeley School of Business.
Remko Van Hoek is a professor of supply chain management at the University of Arkansas’s Sam M. Walton College of Business and advises companies on procurement transformation . He previously served as a chief procurement officer at a number of companies.

Partner Center

Numbers, Facts and Trends Shaping Your World

Read our research on:

Full Topic List

Regions & Countries

Publications

Our Methods
Short Reads
Tools & Resources

Read Our Research On:

Internet & Technology

6 facts about americans and tiktok.

62% of U.S. adults under 30 say they use TikTok, compared with 39% of those ages 30 to 49, 24% of those 50 to 64, and 10% of those 65 and older.

Many Americans think generative AI programs should credit the sources they rely on

Americans’ use of chatgpt is ticking up, but few trust its election information, whatsapp and facebook dominate the social media landscape in middle-income nations, sign up for our internet, science, and tech newsletter.

New findings, delivered monthly

Electric Vehicle Charging Infrastructure in the U.S.

64% of Americans live within 2 miles of a public electric vehicle charging station, and those who live closest to chargers view EVs more positively.

When Online Content Disappears

A quarter of all webpages that existed at one point between 2013 and 2023 are no longer accessible.

A quarter of U.S. teachers say AI tools do more harm than good in K-12 education

High school teachers are more likely than elementary and middle school teachers to hold negative views about AI tools in education.

Teens and Video Games Today

85% of U.S. teens say they play video games. They see both positive and negative sides, from making friends to harassment and sleep loss.

Americans’ Views of Technology Companies

Most Americans are wary of social media’s role in politics and its overall impact on the country, and these concerns are ticking up among Democrats. Still, Republicans stand out on several measures, with a majority believing major technology companies are biased toward liberals.

22% of Americans say they interact with artificial intelligence almost constantly or several times a day. 27% say they do this about once a day or several times a week.

About one-in-five U.S. adults have used ChatGPT to learn something new (17%) or for entertainment (17%).

Across eight countries surveyed in Latin America, Africa and South Asia, a median of 73% of adults say they use WhatsApp and 62% say they use Facebook.

5 facts about Americans and sports

About half of Americans (48%) say they took part in organized, competitive sports in high school or college.

REFINE YOUR SELECTION

Research teams, signature reports.

The State of Online Harassment

Roughly four-in-ten Americans have experienced online harassment, with half of this group citing politics as the reason they think they were targeted. Growing shares face more severe online abuse such as sexual harassment or stalking

Parenting Children in the Age of Screens

Two-thirds of parents in the U.S. say parenting is harder today than it was 20 years ago, with many citing technologies – like social media or smartphones – as a reason.

Dating and Relationships in the Digital Age

From distractions to jealousy, how Americans navigate cellphones and social media in their romantic relationships.

Americans and Privacy: Concerned, Confused and Feeling Lack of Control Over Their Personal Information

Majorities of U.S. adults believe their personal data is less secure now, that data collection poses more risks than benefits, and that it is not possible to go through daily life without being tracked.

Americans and ‘Cancel Culture’: Where Some See Calls for Accountability, Others See Censorship, Punishment

Social media fact sheet, digital knowledge quiz, video: how do americans define online harassment.

1615 L St. NW, Suite 800 Washington, DC 20036 USA (+1) 202-419-4300 | Main (+1) 202-857-8562 | Fax (+1) 202-419-4372 | Media Inquiries

Research Topics

Email Newsletters

ABOUT PEW RESEARCH CENTER Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

Supported by

Microsoft Makes a New Push Into Smaller A.I. Systems

The company that has invested billions in generative A.I. pioneers like OpenAI says giant systems aren’t necessarily what everyone needs.

Share full article

A brightly lit, glass-fronted Microsoft store with cars passing by in a blur.

By Karen Weise and Cade Metz

Karen Weise covers Microsoft from Seattle. Cade Metz writes about artificial intelligence from San Francisco.

In the dizzying race to build generative A.I. systems, the tech industry’s mantra has been bigger is better, no matter the price tag.

Now tech companies are starting to embrace smaller A.I. technologies that are not as powerful but cost a lot less. And for many customers, that may be a good trade-off.

On Tuesday, Microsoft introduced three smaller A.I. models that are part of a technology family the company has named Phi-3. The company said even the smallest of the three performed almost as well as GPT-3.5, the much larger system that underpinned OpenAI’s ChatGPT chatbot when it stunned the world upon its release in late 2022.

The smallest Phi-3 model can fit on a smartphone, so it can be used even if it’s not connected to the internet. And it can run on the kinds of chips that power regular computers, rather than more expensive processors made by Nvidia.

Because the smaller models require less processing, big tech providers can charge customers less to use them. They hope that means more customers can apply A.I. in places where the bigger, more advanced models have been too expensive to use. Though Microsoft said using the new models would be “substantially cheaper” than using larger models like GPT-4, it did not offer specifics.

The smaller systems are less powerful, which means they can be less accurate or sound more awkward. But Microsoft and other tech companies are betting that customers will be willing to forgo some performance if it means they can finally afford A.I.

Customers imagine many ways to use A.I., but with the biggest systems “they’re like, ‘Oh, but you know, they can get kind of expensive,’” said Eric Boyd, a Microsoft executive. Smaller models, almost by definition, are cheaper to deploy, he said.

Mr. Boyd said some customers, like doctors or tax preparers, could justify the costs of the larger, more precise A.I. systems because their time was so valuable. But many tasks may not need the same level of accuracy. Online advertisers, for example, believe they can better target ads with A.I., but they need lower costs to be able to use the systems regularly.

“I want my doctor to get things right,” Mr. Boyd said. “Other situations, where I am summarizing online user reviews, if it’s a little bit off, it’s not the end of the world.”

Chatbots are driven by large language models , or L.L.M.s, mathematical systems that spend weeks analyzing digital books, Wikipedia articles, news articles, chat logs and other text culled from across the internet. By pinpointing patterns in all that text, they learn to generate text on their own.

But L.L.M.s store so much information, retrieving what is needed for each chat requires considerable computing power. And that is expensive.

While tech giants and start-ups like OpenAI and Anthropic have been focused on improving the largest A.I. systems, they are also competing to develop smaller models that offer lower prices. Meta and Google, for instance, have released smaller models over the past year .

Meta and Google have also “ open sourced ” these models, meaning anyone can use and modify them free of charge. This is a common way for companies to get outside help improving their software and to encourage the larger industry to use their technologies. Microsoft is open sourcing its new Phi-3 models, too.

(The New York Times sued OpenAI and Microsoft in December for copyright infringement of news content related to A.I. systems.)

After OpenAI released ChatGPT, Sam Altman, the company’s chief executive, said the cost of each chat was “ single-digits cents ” — an enormous expense considering what popular web services like Wikipedia are serving up for tiny fractions of a cent.

Now, researchers say their smaller models can at least approach the performance of leading chatbots like ChatGPT and Google Gemini. Essentially, the systems can still analyze large amounts of data but store the patterns they identify in a smaller package that can be served with less processing power.

Building these models are a trade-off between power and size. Sébastien Bubeck, a researcher and vice president at Microsoft , said the company built its new smaller models by refining the data that was pumped into them, working to ensure that the models learned from higher-quality text.

Part of this text was generated by the A.I. itself — what is known as “ synthetic data. ” Then human curators worked to separate the sharpest text from the rest.

Microsoft has built three different small models: Phi-3-mini, Phi-3-small and Phi-3-medium. Phi-3-mini, which will be available on Tuesday, is the smallest (and cheapest) but the least powerful. Phi-3 Medium, which is not yet available, is the most powerful but the largest and most expensive.

Making systems small enough to go directly on a phone or personal computer “will make them a lot faster and order of magnitudes less expensive,” said Gil Luria, an analyst at the investment bank D.A. Davidson.

Karen Weise writes about technology and is based in Seattle. Her coverage focuses on Amazon and Microsoft, two of the most powerful companies in America. More about Karen Weise

Cade Metz writes about artificial intelligence, driverless cars, robotics, virtual reality and other emerging areas of technology. More about Cade Metz

Explore Our Coverage of Artificial Intelligence

News and Analysis

Humane’s Ai Pin was supposed to free people from smartphones, but sales have been slow. Now Humane is talking to HP and others about a potential sale. Here’s how the device flopped .

Federal regulators have reached a deal that allows them to proceed with antitrust investigations into the dominant roles that Microsoft, OpenAI and Nvidia play in the A.I. industry.

Google appears to have rolled back its new A.I. Overviews after the technology produced a litany of untruths and errors.

The Age of A.I.

After some trying years during which Mark Zuckerberg could do little right, many developers and technologists have embraced the Meta chief as their champion of “open-source” A.I.

D’Youville University in Buffalo had an A.I. robot speak at its commencement . Not everyone was happy about it.

A new program, backed by Cornell Tech, M.I.T. and U.C.L.A., helps prepare lower-income, Latina and Black female computing majors for A.I. careers.

IMAGES

🔥 Research topics related to information technology. 130+ Best
100+ Greatest Business Research Topics for Students
Business Information Systems
Integration of information systems from Business Information Systems
(PDF) Business Information Systems Success
Why study business information systems

VIDEO

Need of Information & its Economics
Analysis of Information Systems
Business Information Systems Student Symposium (BISSS)
Topic 7 (Part 1): Fundamentals of Information Technology-Business Data Processing
Business Information Systems
Information Systems Research Methodology

COMMENTS

Business Information Technology Dissertation Topics
Below Are Some Business Information Technology Dissertation Topics: A literature analysis on the information quality management framework. A comprehensive investigation of the information system hierarchy. Big data and business intelligence are essential for sustainable development in organizations: Discuss a UK-based perspective.
39 Best Information Systems Dissertation Topics Ideas
Strategic information systems management: focus on the role of a balanced scorecard. Delivery of information system: formation of a hypothetical framework. Information quality management framework: a review of the literature. Information systems hierarchy: a systematic analysis. Importance of big data and business intelligence for the ...
15737 PDFs
Explore the latest full-text research PDFs, articles, conference papers, preprints and more on BUSINESS INFORMATION SYSTEMS. Find methods information, sources, references or conduct a literature ...
Business analytics and big data research in information systems
The "Business Analytics and Big Data" track as a melting pot for topics in information systems (IS) and neighbouring disciplines has a long and successful history at the European Conference on Information Systems (ECIS). From its initial year in 2012 to 2021, the track has received 512 submissions.
Information Systems Research
Information Systems Research (ISR) is a leading peer-reviewed, international journal focusing on theory, research, and intellectual development for information systems in organizations, institutions, the economy, and society. It is dedicated to furthering knowledge in the application of information technologies to human organizations and their management and, more broadly, to improving ...
Information Systems Research: Foundations, Design and Theory
Mohammed Ali is a Lecturer in Digital Business and Information Systems and the programme lead for Business Management with Innovation and Technology at the University of Salford Business School, UK.He is a Senior Fellow of Higher Education with extensive teaching experience. His research interests fall under the socio-technical and system complexities of information systems and digital ...
Ph.D. in Business with an Information Systems and Technology Management
The program is designed to explore diverse research topics in information systems, including digital transformation, IS economics, digital strategy, e-commerce, artificial intelligence (AI), and other emerging digital phenomena in today's pervasively digitized businesses, and exploits them for business values.
Current Issue
Information Systems Research; INFORMS Journal on Applied Analytics; INFORMS Journal on Computing; INFORMS Journal on Data Science; ... Business Value of Information Technology Capabilities: An Institutional Governance Perspective. Jessica Pye, Arun Rai, John Qi Dong. Pages: 28-44.
Emerging Research Areas in Business and Information Systems Engineering
"The Research Field "Modeling Business Information Systems" - Current Challenges and Basic Points of a Future Research Agenda" by Strecker et al. provides an overview of new challenges in another established field of BISE research which had significant impact on practice: information systems modeling.
Evolution of Information Systems Business Value Research: Topic
ABSTRACT. Information Systems Business Value (ISBV) has been a key research topic within the information systems discipline through time. Over the last three decades, ISBV research has dealt with various aspects such as the type of relationships, research methods, theoretical foundations, influencing factors, and measurement issues.
Master Thesis Topics
Data management is a subset of these topics that falls under the umbrella of these frameworks, and may be either explicitely or implicitely addressed. Objectives: Identify security-related data management design areas (e.g. access rights, privacy compliance) Select and review information security frameworks. Provide a mapping of data management ...
Business information systems research
The Discipline of Business Information Systems is internationally recognised for our innovative approaches to high-impact research, industry engagement and analytical thinking in the field of digital business. We are dedicated to developing collaborations with the business community through qualitative, engaged research approaches to a wide ...
Information Management: Articles, Research, & Case Studies on
New research on information management from Harvard Business faculty on issues including management of electronic records, data security and privacy, and how organizations can preserve the accumulated knowledge of individual employees.
Information Systems Research
ScholarOne will be open to submissions beginning on January 2, 2024. The deadline for submissions is . Additional information can be found here. Information Systems Research is a peer-reviewed journal that seeks to publish the best research in the information systems discipline.
Evolution of Information Systems Business Value Research: Topic
Abstract. Information Systems Business Value (ISBV) has been a key research topic within the information systems discipline through time. Over the last three decades, ISBV research has dealt with ...
ICT Providers: A Relevant Topic for Business and Information Systems
Design of future information systems: The development of innovative business information systems is one of the central research topics of business and information systems engineering. This includes, e.g., modeling languages, methods, reference models or systems architectures.
Information Technology: News, Articles, Research, & Case Studies
Information Technology. New research on information technology from Harvard Business School faculty on issues including the HealthCare.gov fiasco, online privacy concerns, and the civic benefits of technologies that utilize citizen-created data. Page 1 of 60 Results →. 23 Apr 2024.
Trending Topics for IT (Information Technology) Leaders
IT Trending Topics ... get the latest insights and exclusive research to help you boost your IT strategy with Gartner for IT Leaders. CIO Agenda. ... based on unbiased research and interactions with thousands of organizations who have successfully implemented digital business transformation initiatives.
Business Information Systems
Flowcharting Techniques. K.B. Lloyd, J. Solak, in Encyclopedia of Information Systems, 2003 III.A. Data Flowcharting—Initial Uses One of the first tools adopted in computerized business information systems analysis was the data flow chart, also known as a document flowchart. A data flowchart emphasizes tasks, workflows, and changes in data content or structure.
Evolution of Information Systems Business Value Research: Topic
This research applies topic modeling on the abstracts of 2824 articles published between 1990 and 2020 to show that topics such as IS management, IS implementation, and IS public services had endured over time and seemed poised for greater focus on IS sustainability in the near future. ABSTRACT Information Systems Business Value (ISBV) has been a key research topic within the information ...
78 Management Information System Topics for Presentation and Essays
Samsung Company's Management Information System. The scope of Management Information System is defined as, "The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […] Management Information Systems Types: Functions and ...
Analytics, Information, Operations research
The Analytics, Information, Operations (AIO) academic area includes faculty who are experts in topics such as business analytics, information systems and supply chain management, as well as former industry professionals whose experience supplements our curriculum. AIO faculty regularly publish in leading academic journals and lend their ...
Top 150 Mechanical Engineering Research Topics [Updated]
Top 50 Mechanical Engineering Research Topics For Advanced. Development of advanced materials for high-temperature applications. Optimization of heat exchanger design using computational fluid dynamics (CFD) Control strategies for enhancing the performance of micro-scale heat transfer devices.
Big Data
This inevitably raises the question of the role of Business and Information Systems Engineering (BISE) in the Big Data debate and its possible contribution to making Big Data a success without just jumping on the hype bandwagon. ... Also the data-oriented research topics during the 1970s and 1980s, shortly after companies like Software AG (1962 ...
Cybersecurity
NIST develops cybersecurity standards, guidelines, best practices, and other resources to meet the needs of U.S. industry, federal agencies and the broader public. Our activities range from producing specific information that organizations can put into practice immediately to longer-term research that anticipates advances in technologies and ...
The Strategic Advantage Omnichannel Retailers Have Over Amazon
The authors' research found that by providing consumers with information on the environmental and social impact of home deliveries, omnichannel retailers could capture $100 billion worth of ...
Best Information Technology Courses Online [2024]
Information security, also known as information technology (IT) security, is the implementation and maintenance of systems to protect information or data. This includes responsibility for the security of data in all forms, including not only internet-connected computers but paper files, other types of physical media, and data stored offline.
Internet & Technology
Americans' Views of Technology Companies. Most Americans are wary of social media's role in politics and its overall impact on the country, and these concerns are ticking up among Democrats. Still, Republicans stand out on several measures, with a majority believing major technology companies are biased toward liberals. short readsApr 3, 2024.
Microsoft Makes a New Push Into Smaller A.I. Systems
April 23, 2024. In the dizzying race to build generative A.I. systems, the tech industry's mantra has been bigger is better, no matter the price tag. Now tech companies are starting to embrace ...