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The Utilisation of Artificial Intelligence in the Export Performance of MNCs: The Role of Cultural Distance

Author

Listed:
  • Syed Khusro Chishty

    (Department of Business Administration, College of Administrative and Financial Science, Saudi Electronic University, Jeddah 23442, Saudi Arabia)

  • Sonia Sayari

    (Department of Business Administration, College of Administrative and Financial Science, Saudi Electronic University, Jeddah 23442, Saudi Arabia
    Higher Institute of Accounting and Business Administration (ISCAE), University of Manouba, Tunis 2010, Tunisia)

  • Amani Hamza Mohamed

    (Department of Marketing and Management, Hekma School of Business and Law, Dar Al Hekma University, Jeddah 22246, Saudi Arabia)

  • Mohammed Faishal Mallick

    (Department of Business Administration, College of Administrative and Financial Science, Saudi Electronic University, Jeddah 23442, Saudi Arabia)

  • Nusrat Khan

    (Department of Business Administration, College of Administrative and Financial Science, Saudi Electronic University, Jeddah 23442, Saudi Arabia)

  • Asra Inkesar

    (Department of Business Administration, College of Administrative and Financial Science, Saudi Electronic University, Riyadh 93499, Saudi Arabia)

Abstract

Artificial intelligence (AI) is transforming the internationalisation activities of multinational corporations (MNCs) through enhanced operational efficiencies and optimised decision-making; though the moderating factors influencing its impact on export-led internationalisation remain underexplored. This research adopts a Resource-Based View (RBV) approach to examine the complex relationship between AI capabilities and the export performance of Indian MNCs, with cultural distance serving as a moderating factor, analysing how AI adoption influences export intensity, trade expansion, and market penetration strategies. Data from a 2024 survey of 449 Indian exporters across various industries, analysed using Structural Equation Modelling, reveal that AI capabilities positively impact export performance particularly in markets characterised by high institutional uncertainty and complex regulatory environments. Moreover, cultural distance acts as a significant moderator, amplifying the role of AI in navigating consumer preferences, language barriers, and localised business practices. AI-powered analytics help firms better understand foreign markets, adapt to cultural differences, and optimise international operations. This study advances the scholarly understanding and contributes to internationalisation theory by integrating AI-driven trade strategies with institutional and cultural moderating factors and offers a structured framework for corporate managers and policymakers to formulate AI-based strategic decisions that leverage AI to mitigate trade-related uncertainties, improve their compliance with international regulations, and strengthen global trade competitiveness in emerging economies.

Suggested Citation

  • Syed Khusro Chishty & Sonia Sayari & Amani Hamza Mohamed & Mohammed Faishal Mallick & Nusrat Khan & Asra Inkesar, 2025. "The Utilisation of Artificial Intelligence in the Export Performance of MNCs: The Role of Cultural Distance," Administrative Sciences, MDPI, vol. 15(5), pages 1-13, April.
    • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:5:p:160-:d:1643714
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    References listed on IDEAS

    as
    1. Daniel Sullivan, 1996. "Measuring the Degree of Internationalization of a firm: A Reply," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 27(1), pages 179-192, March.
    2. Laszlo Tihanyi & David A Griffith & Craig J Russell, 2005. "The effect of cultural distance on entry mode choice, international diversification, and MNE performance: a meta-analysis," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 36(3), pages 270-283, May.
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