Case study methodology in business studies integrating artificial intelligence
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.
DOI Link
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
Recommended Citation
Sposato, Martin, "Case study methodology in business studies integrating artificial intelligence" (2025). All Works. 7271.
https://zuscholars.zu.ac.ae/works/7271
Indexed in Scopus
yes
Open Access
no