Current State and Future Directions for AI Research in the Corporate World

Abstract

The purpose of this study is to survey recent work on AI in corporate settings and to suggest directions for further investigation in this area. This article first describes the historical development of research on AI in business by analysing 404 relevant papers retrieved from Web of Science and Scopus. It then goes on to highlight key publications in the area and the top venues for publishing AI-related research. The last step was to thoroughly examine the literature for latent subjects using a text-mining method based on Latent Dirichlet Allocation. The results show that there are 18 distinct areas of AI study, with four major groups forming: AI systems, AI techniques, AI social effect, and AI organisational influence. Robots and automated systems, the integration of the Internet of Things and artificial intelligence, ethics, and the law are among the many topics covered in this study's presentation of key developmental trends and the problems they pose. Lastly, a research agenda is put out to steer future business AI research in a way that addresses the trends and issues that have been discovered.