AI for Qualitative Research (Record no. 579891)

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001 - CONTROL NUMBER
control field 978-3-032-08872-7
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260304124525.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783032088727
-- 978-3-032-08872-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-032-08872-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.4-.42
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJM
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Subject category code JN
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Subject category code BUS041000
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Subject category code KJM
Source thema
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Subject category code JN
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.407124
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Garcia Quevedo, Diana.
Relator term author.
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Relator code aut
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9 (RLIN) 23838
245 10 - TITLE STATEMENT
Title AI for Qualitative Research
Medium [electronic resource] :
Remainder of title A Hands-On Guide for Management Scholars /
Statement of responsibility, etc by Diana Garcia Quevedo, Josue Kuri.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2026.
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-- Springer Nature Switzerland :
-- Imprint: Palgrave Macmillan,
-- 2026.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 174 p. 16 illus., 7 illus. in color.
Other physical details online resource.
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1 Introduction -- Chapter 2 Overview of Artificial Intelligence, Machine Learning, Natural Language Processing, and Large Language Models -- Chapter 3 Natural Language Processing in Management Research -- Chapter 4 Ethical Considerations -- Chapter 5 Systems and Tools to Use NLP and LLMs: Getting Started -- Chapter 6 Using LLMs in Qualitative Analysis -- Chapter 7 Data Evaluation and Validation -- Chapter 8 Classification -- Chapter 9 Clustering and Topic Modeling -- Chapter 10 Information Retrieval (IR) and Retrieval-Augmented Generation (RAG) -- Chapter 11 Perspectives on LLMs in Management and Qualitative Research.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc This open access book will guide qualitative researchers in the social sciences with little to no coding experience in leveraging large language models (LLMs). Responding to a lack of instructional materials that recognize the need to equip qualitative researchers with the most advanced tools, this book offers a research-focused guide to harness the power of LLMs. The content is divided into two parts, beginning with an introduction to LLMs, natural language processing, and machine learning, as well as a historical and ethical perspective on the use of AI in research. The second part of the book serves as a hands-on guide, providing step-by-step instructions for the use of LLMs to analyze large datasets. It is written with practical cases, taken from management sciences, and emphasizes maintaining a close connection to the data throughout the process. It will be highly valuable to researchers in management studies, as well as in the wider social sciences. Diana Garcia Quevedo is a Visiting Professor at Clemson University, South Carolina, US, and a recipient of the Stand Up for Science fund at ESCP Business School, where she studies innovation in entrepreneurship and green venturing. Her research focuses on the impact of women entrepreneurs on the economy and society. She also works on new methods for qualitative research, particularly large language models, to analyze large amounts of online data inductively. Josue Kuri is a Principal Scientist at Amazon Web Services (AWS), where he leads cloud infrastructure planning automation efforts. At AWS, he pioneered the use of machine learning for network forecasting and the development of a digital twin platform to optimize large-scale digital infrastructure. Prior to AWS, he worked at Google and Facebook (now Meta) on the operational and strategic planning of network infrastructure, including investments in submarine cables. Additionally, he pursues an interest in expanding the use of AI in research and education.
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650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Executives
General subdivision Training of.
9 (RLIN) 5779
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technological innovations.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management Education.
9 (RLIN) 5782
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Innovation and Technology Management.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kuri, Josue.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 23839
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032088710
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032088734
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032088741
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-032-08872-7">https://doi.org/10.1007/978-3-032-08872-7</a>
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