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

Abstract

The 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.

Theoretical and Methodological Approaches to Studying Artificial Intelligence in the Context of International Relations and International Law

“…Menzies applies quantitative analysis to investigate the challenges and opportunities of integrating AI into international business, emphasizing the necessity of quantitative analysis to assess the impact of AI technologies on legal frameworks regulating international migration and human rights (Menzies et al, 2024).…”

Business Management in the Information Age: Use of Systems, Data Processing and Scalability for Organizational Efficiency

“…Companies that have achieved greater adaptive capacity share certain common characteristics, such as a flexible and change-oriented organizational culture [26], a robust technological infrastructure [48] and an agile business strategy and customer-centered [47], [54], [65]. In fact, for [1] the workload is reduced, the precision and efficiency of the staff improves.…”

“…Furthermore, we identify several adaptation strategies used by companies to maintain their relevance and competitiveness in a highly dynamic and competitive business environment. Among these strategies we have the diversification of products and services to meet the changing needs of customers [54], [66]. Collaboration with strategic partners to take advantage of new market opportunities [52], [67].…”