过程(计算)
研究开发
开发(拓扑)
计算机科学
定性研究
管理科学
人工智能
工程类
社会学
数学
程序设计语言
社会科学
生物
数学分析
古生物学
考试(生物学)
作者
Muhammad Naeem,Lorna Thomas
标识
DOI:10.1177/16094069251371478
摘要
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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