GENERATIVE AI IN ACADEMIC LIBRARIES: BEHAVIORAL REASONING THEORY PERSPECTIVE

Abstract

The objective of this paper is to understand the applications of GAI in academic libraries, analyze the ‘reasons for’ and ‘reasons against’ the use of GAI in academic libraries, understand its impact on user experience, and finally provide implications to researchers, practitioners, academicians concerning the topic. Technologies like generative artificial intelligence (GAI) can positively impact libraries by enhancing efficiency, user experience, and engagement. However, there is a dearth of studies concerning the transformative influence of GAI on libraries. This study aims to address this research gap by examining the role of GAI in academic libraries. The paper undertakes the exploratory review method and within that, adopts the secondary research method specifically online search and literature search. By using the Behavioral Reasoning Theory approach, we conceptualize the reasons for and the reasons against that influence the attitudes toward the use of Generative AI in academic libraries. The study contributes to the ongoing studies in this area: a) by proposing a conceptual model for the application of GAI in libraries b) by understanding the applications of GAI in libraries, c) by discussing the reasons for and against the use of GAI in academic libraries and d) providing future agenda for research.