•  
  •  
 

Abstract

Diana Garcia Quevedo and Josue Kuri’s AI for Qualitative Research: A Hands-On Guide for Management Scholars (2026) offers a timely and accessible introduction to leveraging large language models (LLMs) for qualitative analysis in management research. Organized into two parts—theoretical foundations and hands-on applications—the book equips researchers with both conceptual understanding and practical programming skills to integrate AI tools responsibly into their analytical workflows. Garcia Quevedo, whose research at ESCP Business School centres on gender, entrepreneurship, and AI-driven qualitative methods, and Kuri, a principal scientist with extensive expertise in AI and network systems, provide a unique interdisciplinary perspective. This review examines the book’s structure, key contributions, and implications for the future of qualitative inquiry, highlighting its potential to transform how management scholars approach large-scale textual data while preserving the interpretive depth that defines qualitative research.

Keywords

artificial intelligence, qualitative research, large language models, management research, natural language processing

Author Bio(s)

Tito Dimas Atmawijaya serves as the Head of the English Literature Study Program at Universitas Pamulang and is currently pursuing a Doctoral degree in Linguistics at the University of Indonesia. As an educator, he holds a faculty position at Universitas Pamulang, where he focuses on conducting research in the fields of Applied Linguistics, Multimodal Semiotics, and Research Methods. Tito’s passion for language and his dedication to academic excellence have made him a valuable contributor to both the academic community and the advancement of linguistic studies. Please direct correspondence to dosen02078@unpam.ac.id

Acknowledgements

The author would like to acknowledge the Universitas Pamulang that has fully supported this article.

Publication Date

5-19-2026

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.

Share

 
COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.