An Interdisciplinary Systematic Review on Artificial Intelligence in Management and Technology

Abstract

Research on artificial intelligence has escalated in recent years as an increasing number of researchers are systematically involved in explaining the application, impact, and relevance of artificial intelligence across fields. Although the number of research studies with a core focus on artificial intelligence has considerably increased over the years, little is known about how scholars from different fields view, use, and interpret artificial intelligence. As a consequence, artificial intelligence has become a buzzword with wide and multiple interpretations and applications across disciplines. This study aims at (a) providing a comprehensive understanding of the term artificial intelligence and (b) explaining whether the term relates to increased convergence/divergence across fields (i.e., technical vs. nontechnical/management studies). We answer these questions by conducting a systematic literature review and employing advanced bibliometric and topic modeling methods on a total of 791 studies drawn from leading technical and nontechnical/management scholarly journals over the period 2006 – 2021.