15383: AI and Big Data Masterclass for International Management

Artificial intelligence (AI) and big data analytics are reshaping how scholars in International Management (IM) and related fields approach research. They offer transformative tools for analyzing cross-border dynamics and complex datasets. Despite their potential to enhance decision-making, refine theories, and increase methodological rigor, the adoption of these technologies in IM scholarship remains limited. This PDW introduces participants to advanced AI and big data applications, equipping them with the conceptual frameworks and practical skills needed to integrate these methodologies into their research. The workshop spans three interconnected sessions: an overview of contemporary research that demonstrates the impact of AI and big data on IM theories, a hands-on introduction to machine learning techniques using R-based tools, and collaborative round-table discussions where participants address their own research challenges. Attending, researchers will learn to operationalize central IM constructs using big data, refine decision-making theories in the context of AI augmentation, and design robust, reproducible methodologies. This PDW not only bridges academic perspectives with real-world applications but also fosters interdisciplinary collaboration across IM, strategy, entrepreneurship, and data science. Participants will be equipped to contribute to the growing body of management scholarship that leverages AI and big data, addressing critical gaps and advancing the theoretical and empirical frontiers of their research. Through this initiative, attendees position themselves at the forefront of methodological innovation in their fields.

The PDW is open for all attendees. However, we will organize roundtables to discuss AI and data-related challenges in research. To register for a roundtable and to be matched with a suitable mentor, submit a summary of your research challenges (0.5-1 page) and a short CV (max. 3 pages) to harald.puhr@uibk.ac.at. The submission deadline is July 6.