Artificial Intelligence in International Business: A Data-Driven Bibliometric Study

Ruxandra Stanomir and Andreea-Alexandra Bădulescu
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Ruxandra Stanomir: Bucharest University of Economic Studies, Bucharest, Romania
Andreea-Alexandra Bădulescu: Bucharest University of Economic Studies, Bucharest, Romania

Economics and Applied Informatics, 2025, issue 3, 207-213

Abstract: Artificial intelligence is emerging as a key force in international business, exerting an increasingly influential impact on diplomacy, governance, and cross-border cooperation. As scholarly interest in this area grows, so does the volume of academic literature on the subject. Despite this growth, there is still a limited understanding of how research in this field is structured and how it has evolved. This study uses bibliometric analysis of publications indexed in the Web of Science database to examine the development of research at the intersection of Artificial Intelligence and international business. It identifies the core themes, publication trends, and international collaboration networks that define the field. The findings reveal a significant surge in research output since 2021, accompanied by heightened focus on ethical governance, policy innovation, and interdisciplinary approaches. The data also indicate broader geographic participation, suggesting a shift towards a more globally inclusive research landscape. By mapping these patterns, the study offers a comprehensive overview of the field's trajectory and its increasing relevance in shaping international business thought and practice.

Keywords: artificial intelligence; international business; bibliometric analysis; research trends (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2025:i:3:p:207-213

DOI: 10.35219/eai15840409566

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