Exploring Artificial Intelligence and Industry 4.0 in Business and Management: A Bibliometric Review of Current Research and Emerging Perspectives
Abstract:
Academic interest in the connections between artificial intelligence (AI), Industry 4.0, and digital transforma tion has significantly increased in recent years. However, a comprehensive bibliometric analysis of this domain remains rare. This study seeks to fill this gap by using VOSviewer to explore the relevant scientific literature. We analyzed a set of 261 peer-reviewed articles indexed in Scopus to identify the main themes, the most influ ential authors, and key publications in this field. The preliminary analysis focused on the evolution of publi cations, highlighting the most influential journals and the geographical distribution of contributions, which show a strong predominance of research in developed countries, with growing contributions from emerging economies. The keyword analysis conducted with VOSviewer identified several key themes structuring the in tellectual foundation of this study. Among the main themes are: (1) AI and Industry 4.0, (2) the enhancement of industrial processes through AI, (3) the impact of digital transformation on supply chains, (4) sustainability in the context of Industry 4.0, and (5) the interconnections between AI, Industry 4.0, and digital transformation. The article delves into these themes, highlighting the dynamics and interconnections that underpin them, and concludes by identifying existing research gaps and opportunities for future studies.
