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Research Methods: The Essential Knowledge Base 2nd Edition

• ISBN-10 1133954774
• ISBN-13 978-1133954774
• Edition 2nd
• Publisher Cengage Learning
• Publication date January 1, 2015
• Language English
• Dimensions 7.75 x 0.75 x 9.75 inches
• Print length 448 pages
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• Publisher ‏ : ‎ Cengage Learning; 2nd edition (January 1, 2015)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 448 pages
• ISBN-10 ‏ : ‎ 1133954774
• ISBN-13 ‏ : ‎ 978-1133954774
• Item Weight ‏ : ‎ 1.75 pounds
• Dimensions ‏ : ‎ 7.75 x 0.75 x 9.75 inches
• #225 in Scientific Research
• #517 in Social Sciences Research
• #895 in Probability & Statistics (Books)

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Kanika arora.

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Introducing research methodology : a beginner's guide to doing a research project

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Research Methodology and Scientific Writing

• © 2021
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• C. George Thomas 0

Kerala Agricultural University, Thrissur, India

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• Provides tips to improve the writing skills for research students
• Deals with most interdisciplinary fields in Research such as Problems, Writing Proposals, Funding, Selecting Designs, Literature and Review, Collection of Data and Analysis, and Preparation of Thesis
• Discusses the latest on the use of information technology in retrieving and managing information

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Research: Meaning and Purpose

The Roadmap to Research: Fundamentals of a Multifaceted Research Process

Research Questions and Research Design

• Research Problems
• Writing Proposals
• Selecting Designs
• Literature and Review
• Collection of Data and Analysis
• Preparation of Thesis

Table of contents (24 chapters)

Front matter, research: the search for knowledge.

C. George Thomas

Philosophy of Research

Approaches to research, major research methods, experimental research, collection and analysis of data, planning and writing a research proposal, publications and the library, academic databases, the literature review, preparation of research papers and other articles, the structure of a thesis, tables and illustrations, reasoning in research, references: how to cite and list correctly, improve your writing skills, use appropriate words and phrases, punctuation marks and abbreviations, units and numbers, authors and affiliations, about the author, bibliographic information.

Book Title : Research Methodology and Scientific Writing

Authors : C. George Thomas

DOI : https://doi.org/10.1007/978-3-030-64865-7

Publisher : Springer Cham

eBook Packages : Education , Education (R0)

Copyright Information : The Author(s) 2021

Hardcover ISBN : 978-3-030-64864-0 Published: 25 February 2021

Softcover ISBN : 978-3-030-64867-1 Published: 25 February 2022

eBook ISBN : 978-3-030-64865-7 Published: 24 February 2021

Edition Number : 2

Number of Pages : XVII, 620

Number of Illustrations : 25 b/w illustrations

Topics : Engineering/Technology Education , Writing Skills , Thesis and Dissertation

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Research Methods: The Basics

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Research Methods: The Basics is an accessible, user-friendly introduction to the different aspects of research theory, methods and practice. This second edition provides an expanded resource suitable for students and practitioners in a wide range of disciplines including the natural sciences, social sciences and humanities. Structured in two parts – the first covering the nature of knowledge and the reasons for research, the second the specific methods used to carry out effective research and how to propose, plan, carry out and write up a research project – this book covers:

• Reasons for doing a research project • Structuring and planning a research project • The ethical issues involved in research • Different types of data and how they are measured • Collecting and analysing qualitative and quantitative data in order to draw sound conclusions • Mixed methods and interdisciplinary research • Devising a research proposal and writing up the research • Motivation and quality of work.

Complete with a glossary of key terms and guides to further reading, this book is an essential text for anyone coming to research for the first time.

Fundamentals of research methodology and data collection

• Edition: current
• Publisher: LAP Lambert Academic Publishing ( 2016-04-19 )
• ISBN: 978-3-659-86884-9

• Enugu State University of Science and Technology

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10 Best Research Books For Qualitative And Quantitative Research

Research books are designed to help you improve your research skills and conduct studies more effectively. So, if you’re on the hunt for research materials, check out our collection of the best research books!

Research methodology comes in many shapes and forms. Regardless of whether you are interested in qualitative or quantitative research, it is essential to find a book that can help you plan your research project adequately.

Research design can vary from hard sciences to social sciences, but data analysis following a case study is usually similar. Therefore, you need a practical guide that can help you complete a research project and finish your research paper—interested in this field of topic? You’ll love our round-up of the best books for quantum physics !

1. Qualitative Research: A Guide To Design And Implementation, 4th Edition

2. research design: qualitative, quantitative, and mixed methods approaches, 4th edition, 3. the research methods knowledge base, 3rd edition, 4. the craft of research, 5. doing your research project: open up study skills, 5th edition, 6. qualitative inquiry and research design: choosing among five approaches, 3rd edition, 7. the essential guide to doing your research project, 2nd edition, 8. introducing research methodology: a beginner’s guide to doing a research project, 2nd edition, 9. the sage handbook of qualitative research, 5th edition, 10. research methods in education, 7th edition, the final word on the best research books, what is the difference between quantitative research and qualitative research, how do i figure out which academic journal to publish my research in.

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Popular Research Books to Read

When someone talks about qualitative research in academia, they refer to research that focuses on overall concepts and takeaways instead of complex numbers. For those conducting academic research, understanding the basics of this process is critical. Qualitative Research: A Guide to Design and Implementation , by Sharan B. Merriam and Elizabeth J. Tisdell, 4th edition, is one of the best books available because it focuses on action research, mixed methods, online data sources, and some of the latest technology that people can use to complete their projects.

A significant portion of this book focuses on data analysis software packages, which have become critically important in an era where publishing in the best academic journals is critical for every successful researcher. Finally, this book explains topics so that nearly everyone can understand.

Suppose you are looking for a book that can teach you the best research methodology. In that case, you will want to check out Research Design: Qualitative, Quantitative, and Mixed Methods Approaches by John W. Creswell, 4th edition. John Creswell is one of the most well-respected writers in case study research.

As books on how to research go, this one on quantitative and qualitative research methods is a great tool that will help you learn the basics of forming a research project in every field. This book covers philosophical assumptions and research projects, theory and research approaches, and conducts an effective literature review. These elements are also crucial in helping you form a step-by-step guide for your upcoming research project, and this book will teach you the basics of data analysis.

The first two editions were already solid, but the third edition of The Research Methods Knowledge Base , by William M.K. Trochim and James P. Donnelly, features many updates to quantitative and qualitative research methods, teaching graduate students the basics of data collection before diving into the details for more advanced learners.

One of the significant advantages of this text is that it is a comprehensive tool that can be used for both undergraduate and graduate-level courses. It has a relatively informal style and conversational feel, which means readers will not be intimidated by walls of text. The research methods it teaches are straightforward, applicable, and relevant to anyone looking to complete a research project in the current era.

The Craft of Research , by Wayne C. Booth, Gregory C. Colomb, and Joseph M. Williams, covers various research approaches that teach everyone the basics of forming a solid research project. In particular, this book focuses on what to do with the data after it has been collected.

People need to think about how their readers will interpret the structure of the paper, proactively anticipating questions they might have. By answering the reader’s questions in the initial version of the paper, it is easier to hold their attention from start to finish.

Of course, one of the most critical questions that must be asked when writing a research paper is, “so, what? Why does this information matter?” Researchers can keep this in mind while writing the introduction and conclusion of the paper so they will have an easier time constructing a powerful academic manuscript that is more likely to be accepted into the top academic journals.

Doing Your Research Project: Open Up Study Skills , by Judith Bell, is a must-read for new researchers looking to make their way in academic research. This book is helpful because it teaches people how to conduct a research project using step-by-step advice. A research project can be daunting for new learners because it’s easy to focus on the final project and feel intimidated before taking the first step.

This book is indispensable because it teaches people everything they need to know to develop a research project, draft a hypothesis, carry out the project, and finalize a research paper after conducting detailed data analysis. Furthermore, this text will dive into common mistakes, pitfalls, and obstacles researchers need to overcome. Time is your most valuable resource, and nobody wants to spend time on trials that will not be relevant to the final project.

Qualitative Inquiry And Research Design: Choose Among Five Approaches , 3rd Edition, Is The Latest In A Line Of Best-Selling Research Books From Creswell. This Book Ties Into People’s Philosophical Underpinnings When Developing A Research Project. It Also Looks At The History Of Various Research Projects, Which Serve As An Example For The Reader.

Overall, there are five traditions in qualitative research; grounded theory, phenomenology, narrative research, case study, and ethnography. Creswell uses an accessible writing style to help the reader understand when to use each of these narratives. Then, he dives into strategies for writing research papers using each of these approaches.

The Essential Guide To Doing Your Research Project by Zina O’Leary is geared more toward young learners. As books on how to research, it focuses on how to develop a research project, analyze data, and write up the results. Every stage of the book is clearly explained, with the author specifying why it is essential to carry out that step correctly.

It also focuses on practical tips and tricks that learners can use to successfully carry out their research projects. The book includes helpful chapter summaries, a complete glossary, and boxed definitions for essential terms that should not be overlooked. The author also has a variety of suggestions for further reading, which is helpful for more advanced learners who may want to pick up a text that is a bit more detailed. Finally, the book also comes with access to a companion website. The website includes journal articles, real projects, worksheets, and podcasts.

Introducing Research Methodology: A Beginner’s Guide to doing a research project, by Uwe Flick is ideal for new researchers. the author guides readers through the fundamentals that underpin a strong research project. He focuses on essential steps, common mistakes, and ways to expedite the research process.

Then, the author dives into some of the most critical skills readers need to have if they want to collect and analyze data properly. he goes into basic organizational tactics that make data easier to interpret, explains how to shorten the analytical process, and dives into real-life quantitative and qualitative research methods. He uses his research as an example, explaining to people how to pull out the essential parts of the research project before writing them up.

The SAGE Handbook of Qualitative Research by Norman K. Denzin and Yvonna S. Lincoln focuses on global research. This text teaches readers how to synthesize existing literature, identify current research, and focus on caps that can be filled. the authors gather contributions from some of the most well-renowned researchers, addressing issues in research projects today. This text focuses more on research regarding social justice therefore, this is better for people in the social sciences.

Research Methods in Education , by Louis Cohen, Lawrence Manon, and Keith Morrison, is essential for students and professional researchers who want to learn how to create a comprehensive research project. It’s broken up into helpful chapters wrapped up by a convenient summary at the end, explaining to readers how to hit the high points.

Research Methods in Education also comes with a helpful companion website that contains PowerPoint slides for every chapter. This book can be read independently and discussed with a classroom full of students. The book has been written at a level that is accessible even to high school students, but the basics can be a helpful review for graduate researchers.

Academic research comes in many shapes and forms, with qualitative and quantitative research having high points; however, the basics are the same across all fields. Researchers need to learn how to develop a hypothesis, put together a research methodology, collect their data, interpret it, and write up their findings.

It can be helpful to use the books about research above to refine your research methods . Each book focuses on a slightly different facet of academic research, so readers need to find the right book to meet their needs. With a substantial text, readers can avoid common mistakes, follow in the footsteps of successful researchers, and increase their chances of writing a solid research paper for school or getting their paper accepted into an academic journal.

Books About Research FAQs

Quantitative research focuses more on numbers and statistics. This type of research is more common in hard sciences such as biology, chemistry, and physics.

Qualitative research focuses more on overall meanings and concepts. This type of research is more common in social sciences such as anthropology, archaeology, and research topics focusing on social justice.

It would help compare prior articles in that academic journal to the article you have written. Most academic journals focus on a specific field, and you need to submit your article to a publication that shares research articles similar to your own. Be sure to consider the prestige of the journal before submitting your paper.

If you enjoyed this round-up of the best research books, you might also like our top 11 essay writing tips for students .

Bryan Collins is the owner of Become a Writer Today. He's an author from Ireland who helps writers build authority and earn a living from their creative work. He's also a former Forbes columnist and his work has appeared in publications like Lifehacker and Fast Company.

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Research Methodology A Step-by-Step Guide for Beginners

• Ranjit Kumar - University of Western Australia, Australia
• Description

Designed with students, for students and now shortlisted for the British Book Design and Production Awards 2019!

Eight steps, two pathways, one book.  The Fifth Edition of the bestseller  Research Methodology  has reimagined, redesigned, and fully renovated how a textbook can help students achieve success in their methods course or research project.

Eight steps:  Foolproof for any beginner researcher, the book breaks the process of designing and doing a research project into achievable stages. It delivers students from research problem to their written research report at the pace they need, with clear explanations, DIY tasks and study skills support.  In a new  landscape format  it presents figures, models and visualizations elegantly, so they don't break over a page, making even complex concepts easier to understand.

Two pathways:  With an innovative, beautiful design, regular progress checkpoints have been built into the book and its online resources. As students proceed through the 8 steps, each chapter provides regular opportunities for students to check understanding or give themselves a challenge. Each pathway then gives them the resources they need.

• Confused? Stop, practise with quizzes and flashcards, or use a video to look at a concept a different way.
• Up for a challenge? Access a wealth of additional material including research articles, readings, case studies, activities, bibliography tools and inspiration to pursue your curiosity, impress your lecturer, and nail your assignments.

With this one book,  every student gets what they need to succeed. It is the perfect essential text for students and beginner researchers across the social sciences.

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .

For assistance with your order: Please email us at [email protected] or connect with your SAGE representative.

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Good book for beginner

This is an excellent resource on research methodology and very accessible for the students I teach.

This is an excellent book BUT this edition is HIDEOUS.

It is a weird shape and won't fit well on our library shelves. One of my students mentioned she keeps her's on the floor.

The text is at times pink on pink or blue on blue and the contrast is terrible - that's an accessibility issue.

On a more subjective note, the fonts and the neons look like someone was trying to be cool and trendy and it smacks of 'hello fellow kids'. Fire the graphic designer.

I have suggested that my students buy 4th eds used if possible as it looks like a grow-up book for adults, and will fit on a bookshelf, and is actually LEGIBLE especially if they have any eye issues, colour blindness or specific learning difficulties

Standard classic text - appropriate for any level of study. Excellent overview of concepts and terminology.

A colourful and easy to use text book which I think the students will enjoy.

Fantastic research book. Very easy to read, well laid out and informative

An extremely detailed yet accessible introduction to conducting and evaluating research in a variety of subjects. This is a really helpful resource for students and is presented in an engaging manner.

I am no longer the course leader for this module but this is the best book on the market It is so well structured and very informative in an easier to read format than many other books on this topic

Great overview of research in a user friendly presentation, love the bright colours and unusual landscape layout.

Love this book. Very useful to dip in an out of and is bright and engaging. Clearly defined chapters with a good range of practical activities and exercises to reinforce learning. Student friendly and the bonus of online resources.

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The state of AI in early 2024: Gen AI adoption spikes and starts to generate value

If 2023 was the year the world discovered generative AI (gen AI) , 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey  on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year , with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.

About the authors

This article is a collaborative effort by Alex Singla , Alexander Sukharevsky , Lareina Yee , and Michael Chui , with Bryce Hall , representing views from QuantumBlack, AI by McKinsey, and McKinsey Digital.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.

AI adoption surges

Interest in generative AI has also brightened the spotlight on a broader set of AI capabilities. For the past six years, AI adoption by respondents’ organizations has hovered at about 50 percent. This year, the survey finds that adoption has jumped to 72 percent (Exhibit 1). And the interest is truly global in scope. Our 2023 survey found that AI adoption did not reach 66 percent in any region; however, this year more than two-thirds of respondents in nearly every region say their organizations are using AI. 1 Organizations based in Central and South America are the exception, with 58 percent of respondents working for organizations based in Central and South America reporting AI adoption. Looking by industry, the biggest increase in adoption can be found in professional services. 2 Includes respondents working for organizations focused on human resources, legal services, management consulting, market research, R&D, tax preparation, and training.

Also, responses suggest that companies are now using AI in more parts of the business. Half of respondents say their organizations have adopted AI in two or more business functions, up from less than a third of respondents in 2023 (Exhibit 2).

Gen AI adoption is most common in the functions where it can create the most value

Most respondents now report that their organizations—and they as individuals—are using gen AI. Sixty-five percent of respondents say their organizations are regularly using gen AI in at least one business function, up from one-third last year. The average organization using gen AI is doing so in two functions, most often in marketing and sales and in product and service development—two functions in which previous research  determined that gen AI adoption could generate the most value 3 “ The economic potential of generative AI: The next productivity frontier ,” McKinsey, June 14, 2023. —as well as in IT (Exhibit 3). The biggest increase from 2023 is found in marketing and sales, where reported adoption has more than doubled. Yet across functions, only two use cases, both within marketing and sales, are reported by 15 percent or more of respondents.

Gen AI also is weaving its way into respondents’ personal lives. Compared with 2023, respondents are much more likely to be using gen AI at work and even more likely to be using gen AI both at work and in their personal lives (Exhibit 4). The survey finds upticks in gen AI use across all regions, with the largest increases in Asia–Pacific and Greater China. Respondents at the highest seniority levels, meanwhile, show larger jumps in the use of gen Al tools for work and outside of work compared with their midlevel-management peers. Looking at specific industries, respondents working in energy and materials and in professional services report the largest increase in gen AI use.

Investments in gen AI and analytical AI are beginning to create value

The latest survey also shows how different industries are budgeting for gen AI. Responses suggest that, in many industries, organizations are about equally as likely to be investing more than 5 percent of their digital budgets in gen AI as they are in nongenerative, analytical-AI solutions (Exhibit 5). Yet in most industries, larger shares of respondents report that their organizations spend more than 20 percent on analytical AI than on gen AI. Looking ahead, most respondents—67 percent—expect their organizations to invest more in AI over the next three years.

Where are those investments paying off? For the first time, our latest survey explored the value created by gen AI use by business function. The function in which the largest share of respondents report seeing cost decreases is human resources. Respondents most commonly report meaningful revenue increases (of more than 5 percent) in supply chain and inventory management (Exhibit 6). For analytical AI, respondents most often report seeing cost benefits in service operations—in line with what we found last year —as well as meaningful revenue increases from AI use in marketing and sales.

Inaccuracy: The most recognized and experienced risk of gen AI use

As businesses begin to see the benefits of gen AI, they’re also recognizing the diverse risks associated with the technology. These can range from data management risks such as data privacy, bias, or intellectual property (IP) infringement to model management risks, which tend to focus on inaccurate output or lack of explainability. A third big risk category is security and incorrect use.

Respondents to the latest survey are more likely than they were last year to say their organizations consider inaccuracy and IP infringement to be relevant to their use of gen AI, and about half continue to view cybersecurity as a risk (Exhibit 7).

Conversely, respondents are less likely than they were last year to say their organizations consider workforce and labor displacement to be relevant risks and are not increasing efforts to mitigate them.

In fact, inaccuracy— which can affect use cases across the gen AI value chain , ranging from customer journeys and summarization to coding and creative content—is the only risk that respondents are significantly more likely than last year to say their organizations are actively working to mitigate.

Some organizations have already experienced negative consequences from the use of gen AI, with 44 percent of respondents saying their organizations have experienced at least one consequence (Exhibit 8). Respondents most often report inaccuracy as a risk that has affected their organizations, followed by cybersecurity and explainability.

Our previous research has found that there are several elements of governance that can help in scaling gen AI use responsibly, yet few respondents report having these risk-related practices in place. 4 “ Implementing generative AI with speed and safety ,” McKinsey Quarterly , March 13, 2024. For example, just 18 percent say their organizations have an enterprise-wide council or board with the authority to make decisions involving responsible AI governance, and only one-third say gen AI risk awareness and risk mitigation controls are required skill sets for technical talent.

Bringing gen AI capabilities to bear

The latest survey also sought to understand how, and how quickly, organizations are deploying these new gen AI tools. We have found three archetypes for implementing gen AI solutions : takers use off-the-shelf, publicly available solutions; shapers customize those tools with proprietary data and systems; and makers develop their own foundation models from scratch. 5 “ Technology’s generational moment with generative AI: A CIO and CTO guide ,” McKinsey, July 11, 2023. Across most industries, the survey results suggest that organizations are finding off-the-shelf offerings applicable to their business needs—though many are pursuing opportunities to customize models or even develop their own (Exhibit 9). About half of reported gen AI uses within respondents’ business functions are utilizing off-the-shelf, publicly available models or tools, with little or no customization. Respondents in energy and materials, technology, and media and telecommunications are more likely to report significant customization or tuning of publicly available models or developing their own proprietary models to address specific business needs.

Respondents most often report that their organizations required one to four months from the start of a project to put gen AI into production, though the time it takes varies by business function (Exhibit 10). It also depends upon the approach for acquiring those capabilities. Not surprisingly, reported uses of highly customized or proprietary models are 1.5 times more likely than off-the-shelf, publicly available models to take five months or more to implement.

Gen AI high performers are excelling despite facing challenges

Gen AI is a new technology, and organizations are still early in the journey of pursuing its opportunities and scaling it across functions. So it’s little surprise that only a small subset of respondents (46 out of 876) report that a meaningful share of their organizations’ EBIT can be attributed to their deployment of gen AI. Still, these gen AI leaders are worth examining closely. These, after all, are the early movers, who already attribute more than 10 percent of their organizations’ EBIT to their use of gen AI. Forty-two percent of these high performers say more than 20 percent of their EBIT is attributable to their use of nongenerative, analytical AI, and they span industries and regions—though most are at organizations with less than $1 billion in annual revenue. The AI-related practices at these organizations can offer guidance to those looking to create value from gen AI adoption at their own organizations.

To start, gen AI high performers are using gen AI in more business functions—an average of three functions, while others average two. They, like other organizations, are most likely to use gen AI in marketing and sales and product or service development, but they’re much more likely than others to use gen AI solutions in risk, legal, and compliance; in strategy and corporate finance; and in supply chain and inventory management. They’re more than three times as likely as others to be using gen AI in activities ranging from processing of accounting documents and risk assessment to R&D testing and pricing and promotions. While, overall, about half of reported gen AI applications within business functions are utilizing publicly available models or tools, gen AI high performers are less likely to use those off-the-shelf options than to either implement significantly customized versions of those tools or to develop their own proprietary foundation models.

What else are these high performers doing differently? For one thing, they are paying more attention to gen-AI-related risks. Perhaps because they are further along on their journeys, they are more likely than others to say their organizations have experienced every negative consequence from gen AI we asked about, from cybersecurity and personal privacy to explainability and IP infringement. Given that, they are more likely than others to report that their organizations consider those risks, as well as regulatory compliance, environmental impacts, and political stability, to be relevant to their gen AI use, and they say they take steps to mitigate more risks than others do.

Gen AI high performers are also much more likely to say their organizations follow a set of risk-related best practices (Exhibit 11). For example, they are nearly twice as likely as others to involve the legal function and embed risk reviews early on in the development of gen AI solutions—that is, to “ shift left .” They’re also much more likely than others to employ a wide range of other best practices, from strategy-related practices to those related to scaling.

In addition to experiencing the risks of gen AI adoption, high performers have encountered other challenges that can serve as warnings to others (Exhibit 12). Seventy percent say they have experienced difficulties with data, including defining processes for data governance, developing the ability to quickly integrate data into AI models, and an insufficient amount of training data, highlighting the essential role that data play in capturing value. High performers are also more likely than others to report experiencing challenges with their operating models, such as implementing agile ways of working and effective sprint performance management.

About the research

The online survey was in the field from February 22 to March 5, 2024, and garnered responses from 1,363 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 981 said their organizations had adopted AI in at least one business function, and 878 said their organizations were regularly using gen AI in at least one function. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.

Alex Singla and Alexander Sukharevsky  are global coleaders of QuantumBlack, AI by McKinsey, and senior partners in McKinsey’s Chicago and London offices, respectively; Lareina Yee  is a senior partner in the Bay Area office, where Michael Chui , a McKinsey Global Institute partner, is a partner; and Bryce Hall  is an associate partner in the Washington, DC, office.

They wish to thank Kaitlin Noe, Larry Kanter, Mallika Jhamb, and Shinjini Srivastava for their contributions to this work.

This article was edited by Heather Hanselman, a senior editor in McKinsey’s Atlanta office.

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