What the study found
The authors argue that AI and ML can transform international business research by making it possible to analyze large-scale, multimodal data and detect patterns relevant to theory and evidence. They also present a structured roadmap for bringing these techniques into international business research.
Why the authors say this matters
The study suggests that AI and ML are not just analytical tools but may be transformative for the future of international business research. The authors say this matters because linking methodological innovation with conceptual advancement can support new work on international business topics such as foreignness, legitimacy, and deglobalization.
What the researchers tested
This is a research article that reviews AI- and ML-based techniques for international business research. The paper covers supervised methods, unsupervised methods, generative AI, and multimodal approaches, and it discusses how these can be applied to core international business constructs.
What worked and what didn't
The paper says these methods can enrich understanding of foreignness, legitimacy, internationalization strategy, corporate governance, distance, and deglobalization. It also notes that the methodological breadth and technical complexity of AI and ML create significant challenges for many international business scholars.
What to keep in mind
The abstract does not report empirical testing or specific quantitative results. It also does not provide detailed limitations beyond noting the technical and methodological challenges of integrating AI and ML into international business research.
Key points
- AI and ML are presented as tools that can analyze large-scale, multimodal data in international business research.
- The paper offers a structured roadmap for integrating AI- and ML-based techniques into the field.
- The authors review supervised, unsupervised, generative AI, and multimodal approaches.
- The paper says these methods can enrich constructs such as foreignness, legitimacy, and deglobalization.
- The abstract notes that AI and ML pose methodological and technical challenges for many scholars.
Disclosure
- Research title:
- AI and ML are reshaping international business research
- Authors:
- Ajai Gaur, Evelyn Lin Peng, Chinmay Pattnaik, Yi Li
- Institutions:
- Rutgers, The State University of New Jersey, The University of Sydney, The University of Sydney, The University of Sydney
- Publication date:
- 2026-03-03
- OpenAlex record:
- View
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