Introducing AI to qualitative research: Theoretical and practical implications

Martin Sposato, Zayed University

Document Type

Article

Source of Publication

Exploring Qualitative Research in Business Approaches Strategies and Methods

Publication Date

5-13-2025

Abstract

This chapter examines the integration of Artificial Intelligence (AI) into qualitative research in business studies, exploring theoretical foundations, practical applications, and future implications. The convergence of AI and qualitative methodologies offers opportunities and challenges, prompting reevaluation of research paradigms and raising epistemological questions. AI tools contribute to various stages of the research process, but there are implementation challenges. The chapter emphasizes maintaining human oversight and critical ethical considerations. Interdisciplinary collaboration opportunities are highlighted, showcasing potential advancements in understanding complex business phenomena. While AI presents innovative approaches to data analysis, limitations such as lack of contextual understanding are acknowledged. The chapter concludes by advocating for a balanced approach that leverages AI capabilities while upholding the integrity of qualitative inquiry, encouraging researchers to critically reflect on AI's role in advancing business research.

ISBN

[9798369376980, 9798369376997]

Publisher

IGI Global

First Page

285

Last Page

304

Disciplines

Business

Keywords

Artificial Intelligence, qualitative research, business studies, research paradigms, ethical considerations

Scopus ID

105008745861

Indexed in Scopus

yes

Open Access

no

Link to Full Text

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