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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 og mennesker

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