Artificial Intelligence in Management Studies (2021-2025): A Bibliometric Mapping of Themes, Trends, and Global Contributions

Yassine Sekaki, Hamza Ziane and Abdelhafid Khazzar
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Yassine Sekaki: UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]
Hamza Ziane: UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]
Abdelhafid Khazzar: UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]

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Abstract: AI has risen as one of the most influential topics in scientific research over the past decade, focusing on the application of AI technologies in multiple disciplines. Management, as a science that has been studied, researched, and applied, shows great opportunities in terms of AI applications, notably as a tool for enhancing decisionmaking, sustainability in managerial practices, and so on. This bibliometric study aims to investigate the trends of AI research in management, defining the focus areas and research gap publications were gathered from the scopus database, and were processed through the bibliometrix library of the R studio analysis software , data were represented using the VOSviewer software,the research yielded a significant number of papers on different topics, data analysis comprised the country of origin, publication journal, author and keyword co-occurrence. The results showed an increase in publications stuying the uses of AI in management from 2021 to 2024 and a sharp decline of publication output in 2025. leading countries were shown to be China, india and the United States which dominated in volume of publication, while the United Kingdom dominated in citation impact. The dominating journals were ustainability, Technological Forecasting and Social Change, and IEEE Transactions on Engineering Management respectively. The Keywords co-occurrence and thematic mapping showed an increasing shift from technical applications to societal aspects such as sustainability, digital transformation, and decisionmaking support. The research shows a strategic shift in AI research, a changing landscape of pure and applied AI toward a more nuanced type of studied.

Keywords: Artificial Intelligence; Management; Bibliometric Analysis; Technological Innovation; Digital Transformation (search for similar items in EconPapers)
Date: 2025-08-27
New Economics Papers: this item is included in nep-cmp
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Published in International Journal of Accounting, Finance, Auditing, Management and Economics, 2025, ⟨10.5281/zenodo.16956545⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05236423

DOI: 10.5281/zenodo.16956545

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