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LongDbName: Business Source Complete ShortDbName: bth AN: 175918708 Title: Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice. PublicationDate: 20240301 Contributors: Menzies, Jane; Sabert, Bianka; Hassan, Rohail; Mensah, Prince Kofi; DocTypes: Literature Review; PubTypes: CoverDate: Mar2024 PeerReviewed: Source: Thunderbird International Business Review IsiType: JOUR DOIDS: ; ISBNS: ; ISSNS: 1096-4762; PublisherLocations: ; RecordType: ARTICLES BookEdition: Publisher: Wiley-Blackwell PageStart: 185 PageEnd: 200 PageCount: 16 Volume: 66 Issue: 2 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. DOI: 10.1002/tie.22370 Language: eng Subjects: Business intelligence; International business enterprises; Artificial intelligence; Business planning; Administrative Management and General Management Consulting Services; Machine learning; plink: https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183- b452-507d7fdd8314