1) Qualitative Data Analysis in the AI Era: Key Considerations for IB Research
Organizers:
Duc Nguyen – The University of Manchester, UK
Eriikka Paavilainen-Mäntymäki – University of Turku, Finland
Rebecca Piekkari – Aalto University, Finland
Emmanuella Plakoyiannaki – University of Vienna, Austria
Catherine Welch – Trinity College Dublin, Ireland
The interactive post-conference workshop explores the evolving role of human and artificial intelligence (AI) in qualitative data analysis. In international business (IB) research, qualitative inquiry has traditionally positioned the researcher as the central driver of interpretation. This view, however, has often underestimated how technological tools influence the way data is organized, processed, and analyzed – a gap that has become increasingly important to address.
You may find more information here.
2) Quantitative Methods Workshop: Handling Complexity in IB Research
Organizers:
Bo B. Nielsen – University of Sydney and Aalto University
Christian G. Asmussen – Copenhagen Business School
International Business (IB) research is inherently complex, due to the multiplicity of entities, multiplexity of interactions, and dynamism of the global economic system (Eden & Nielsen, 2020). Various analytical methods can be applied to answer questions related to IB complexity, and this workshop focuses on a set of quantitative approaches to this issue.
You may find more information here.