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How can we im­prove trans­par­ency and cred­ib­il­ity in hy­po­thes­is-test­ing re­search in In­ter­na­tion­al Busi­ness? And why do man­agers across coun­tries dif­fer in their re­li­ance on AI?

Jelena Cer­ar co-au­thors two new art­icles in the Journ­al of In­ter­na­tion­al Busi­ness Stud­ies and In­ter­na­tion­al Busi­ness Re­view

Robot and people

Published in the Journal of International Business Studies, Jelena’s new study with Sebastian Reiche and Phillip C. Nell revisits hypothesis-testing research in International Business, examining where the field has achieved meaningful progress, where important shortcomings remain, and how research practices can become more transparent and credible. The article offers a critical reflection on the development of the field and outlines pathways toward more robust and trustworthy empirical research. Link to article

In the International Business Review (ABS 3), together with Dana Minbaeva and Phillip C. Nell, Jelena explores how national culture and government support shape the extent to which managers rely on artificial intelligence in strategic decision-making. Link to article

Jelena Cerar