Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice

Author:

Menzies Jane1ORCID,Sabert Bianka1ORCID,Hassan Rohail23ORCID,Mensah Prince Kofi4

Affiliation:

1. School of Business and Creative Industries University of the Sunshine Coast Sippy Downs Queensland Australia

2. Othman Yeop Abdullah Graduate School of Business (OYAGSB) Universiti Utara Malaysia Kuala Lumpur Malaysia

3. University of Economics and Human Sciences in Warsaw Warsaw Poland

4. University of Ghana Business School, University of Ghana Accra Ghana

Abstract

AbstractThe emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies.

Publisher

Wiley

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