FROM SCARCITY TO ABUNDANCE: SCHOLARS AND SCHOLARSHIP IN AN AGE OF GENERATIVE ARTIFICIAL INTELLIGENCE

Generative artificial intelligence (AI) refers to a class of machine learning technologies that have the capability to generate new content that resembles human-created output, such as images, text, audio, and videos. Within the context of generative AI, much hype has been directed in particular toward large language models, given the associated tools’ ability to generate coherent and contextually relevant text given a user-defined prompt. As editors of a journal devoted to advancing knowledge production in the areas of management and organizations, we believe it is important to recognize the promise of generative AI for advancing such knowledge production. In particular, we see opportunities for scholars to increasingly make use of generative AI to assist with the entire value chain of knowledge production, from synthesis, to creation, to evaluation and translation (Bartunek, Rynes, & Daft, 2001; Kilduff, Mehra, & Dunn, 2011; Van De Ven & Johnson, 2006). Moreover, these same tools promise to increase both the efficiency and rigor of our research methods