作者：Zhou, Yaxian; Yuan, Yufei; Huang, Kai; Hu, Xiangpei
作者单位：Dalian University of Technology; McMaster University
摘要：Grounded theory is a widely used scientific method for generating theories from qualitative data analysis. However, it is often time-consuming and requires professional training. Generative artificial intelligence, such as ChatGPT, excels in understanding and analyzing text, making it a valuable tool for qualitative research. This research proposes a novel approach to guide ChatGPT using the grounded theory method for qualitative data analysis and to design rigorous metrics for evaluating its ...
作者：Lin, Xiaolin; Wang, Xuequn; Shao, Bin; Taylor, Joseph
作者单位：California State University System; California State University Sacramento; Edith Cowan University; Texas A&M University System; West Texas A&M University
摘要：Although artificial intelligence (AI)-enabled chatbots have been increasingly incorporated into firms' business processes, such as customer service, they are still ineffective at handling unstructured tasks. Therefore, organizations might adopt chatbots to cut down the workforce for structured tasks and augment the remaining employees in unstructured tasks. Although there are substantial workforce implications for rebalancing work activities, few studies have assessed chatbots from the augment...
