AI and business management: Tracking future research agenda through bibliometric network analysis

Abstract

This study has been designed to analyse the academic landscape of AI on the Scopus and Web of Science (WOS) indices and compare the findings. AI is one of the most prominent and preferred research areas, only a few studies are dedicated to the bibliometric aspect of it. There is a need to compare studies on AI over different databases to identify the impact and usefulness of those studies in decision-making in business management. To conduct this analysis, the authors have collected data from both Scopus and WOS. ‘VOSviewer’, ‘R-Studio’, and ‘MS Excel’ software have been used for performance analysis and science mapping. This is one of the exceptional studies which perform a comparative analysis between two indices and also identifies funding sponsors for support of research in AI. “Dwivedi, Y.K.” is the most productive author and “Huang, Minghui” is the most impactful author. “National Natural Science Foundation of China” is the funding agency which has significantly supported AI research. Technical aspects like “Machine learning”, “neural networks”, and “blockchain” with ‘Sustainability’, ‘sustainable development’, ‘accounting’, and ‘auditing’ are trending themes for managerial decision-making.

Keywords

• Bibliometric analysis
• Artificial intelligence
• VOSviewer
• R-Studio
• Managerial decision making