Case study methodology in business studies integrating artificial intelligence

Martin Sposato, Zayed University

Document Type

Book Chapter

Source of Publication

Prompt Engineering and Generative AI Applications for Teaching and Learning

Publication Date

3-13-2025

Abstract

This chapter explores the integration of Artificial Intelligence (AI) into case study methodology for business research. It traces the historical development of case studies, examines current applications, and investigates the transformative potential of AI in enhancing data collection, analysis, and interpretation. The study discusses practical implications, addressing both opportunities and challenges of AI integration. Ethical considerations, theoretical implications, and future research directions are thoroughly examined. The chapter emphasizes the need for a balanced approach that leverages AI capabilities while maintaining the contextual richness of traditional case studies. It concludes that thoughtful AI integration can significantly enhance the depth, breadth, and efficiency of case study research in business studies, opening new avenues for insight and theory development.

ISBN

[9798369373323, 9798369373347]

First Page

447

Last Page

465

Disciplines

Business | Computer Sciences

Keywords

Artificial Intelligence, Case Study Methodology, Business Research, Data Analysis, Ethical Considerations

Scopus ID

05002932744

Indexed in Scopus

yes

Open Access

no

Link to Full Text

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