Generative Artificial Intelligence in Information Systems Research: Insights from a Scoping Review and Bibliometric Analysis

Abstract

This study aims to review and analyze the latest scientific breakthroughs in Generative artificial intelligence (Gen-AI) published in information system (IS) journals. The goal is to consolidate and organize the collective knowledge of Gen-AI in IS. We adopted a scoping review approach and complemented it with bibliometric analyses. We selected 55 articles from a collection of scholarly publications from several databases covering 2018 to 2024. Results reveal significant trends regarding the scientific production, the influential publications and articles, the study areas and their interconnections, the bibliographic coupling, the methodologies, and the theoretical foundations employed. This comprehensive analysis foresees a productive area of study on Gen-AI in IS as it established the basis for identifying key contributions and gaps and generating novel ideas for further exploration.