Generative AI and Empirical Research Methods in Operations Management
探讨生成式人工智能作为快速普及的技术，如何以不同于以往技术的模式影响运营管理领域的实证研究，并重新定义人机协作中的角色。
Generative Artificial Intelligence (Gen-AI) is arguably the fastest-adopted technology in history (Mariani and Dwivedi 2024). Like past transformative technologies—such as computers and the Internet—Gen-AI brings new opportunities and challenges to research. However, its distinctive features may result in an adoption pattern and impact that differ from those of earlier technologies. Anthony et al. (2023) offered a novel perspective on studying AI. Traditionally, technologies are viewed either as tools to improve performance or as mediums to enhance collaboration; however, AI can be seen as a counterpart or an agent interacting with human agents (c.f. Bendoly et al. 2024; Angelopoulos et al. 2023). Along these lines, the popular press has already labeled Gen-AI models as a “superhuman research assistant” in the research process (The Economist 2023). With the formation of such hybrid teams in research, it is more critical than ever to define the roles of team members.