Jane Menzies, Bianka Sabert, Rohail Hassan, Prince Kofi Mensah
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引用次数: 0
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.
期刊介绍:
Thunderbird International Business Review is a peer-reviewed journal that is published six times a year in cooperation with the Thunderbird School of Global Business Management, the world"s leading institution in the education of global managers. The journal"s aim is to advance and disseminate research in the field of international business. Its main target audience includes academicians and executives in business and government who have an interest in international business.