Case Study Research and Artificial Intelligence: A Step-by-Step Process to Using ChatGPT in the Development of Case Studies in Qualitative Research

Abstract

This paper presents the findings of a formal case study process, where traditional methods are combined with Artificial Intelligence (AI) techniques to develop the prompts for the researcher to develop case study for their research. Based on GenAI technology, the framework covers seven key stages of AI use to develop new knowledge by comparing AI-generated suggestions with those used in classical research to develop a rich qualitative research case study. The key contribution of the research is an explicit characterization of the seven stages, which may enable researchers to develop a robust qualitative case study. Moreover, this work represents the first attempt at using heterogeneous, AI-generated prompts to develop a case study following the seven stages of case development study to develop rigorous research. It introduces a well-rounded toolbox that details the full research workflow, from idea generation to completion. This combination will not only catalyse studies of greater veracity but will also raise the standard in terms of using an AI-assisted methodology in case studies.

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