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

Author

Listed:
  • Ruxandra Stanomir

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Andreea-Alexandra Bădulescu

    (Bucharest University of Economic Studies, Bucharest, Romania)

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.

Suggested Citation

  • Ruxandra Stanomir & Andreea-Alexandra Bădulescu, 2025. "Artificial Intelligence in International Business: A Data-Driven Bibliometric Study," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 207-213.
    • Handle: RePEc:ddj:fseeai:y:2025:i:3:p:207-213
    DOI: https://doi.org/10.35219/eai15840409566
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    References listed on IDEAS

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    1. Jorge Campoverde Campoverde & Katherine Coronel-Pangol & Doménica Heras Tigre, 2024. "How does artificial intelligence affect the business context? A bibliometric analysis," Edelweiss Applied Science and Technology, Learning Gate, vol. 8(4), pages 358-389.
    2. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    3. Güler Koştı & İsmail Kayadibi, 2025. "A bibliometric analysis of artificial intelligence and machine learning applications for human resource management," Future Business Journal, Springer, vol. 11(1), pages 1-19, December.
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