Im Rahmen des PRIME (Paderborn Research Colloquium on Information Management & Engineering) begrüßt das Department Wirtschaftsinformatik Prof. Dr. Joschka Hüllmann (University of Twente). Wir laden alle Interessierten zu seinem Vortrag "Exploring Team Process Dynamics in Professional Esports through Digital Trace Data and Computational Methods" ein.
Joschka Hüllmann is an assistant professor of information systems at the University of Twente in the Netherlands. His research addresses the interface between the development and organizational use of innovative management information systems and their impact on work and the workplace. He likes to use and advance the analysis and theorizing of digital trace data. The results of his research have been published in IEEE Transactions, ACM Transactions, Information Technology & People, Journal of the Association for Information Systems, Team Performance Management, Deutscher Wirtschaftsdienst, and in the proceedings of all leading information systems conferences. Next to his academic career, Joschka Hüllmann works as a data scientist in renewable energy, public transport, and finance.
Abstract:
Team-based esports have developed into a global phenomenon with growing player counts, professional leagues, and expanding commercial markets. Esports titles such as Counter-Strike 2 and League of Legends challenge existing theories of virtual teams and action teams, because esports teams perform urgent, unpredictable, interdependent, and highly consequential tasks in dispersed virtual contexts. Knowledge about the determinants of team performance, coordination, and communication is raised into question. On top of that, esports is an attractive field for empirical research because all player actions are recorded as high-resolution digital trace data, enabling longitudinal analysis of team dynamics. This work-in-progress study combines machine learning methods for modeling team processes with regression analyses to identify correlations among tactical decisions, communication modes, and performance outcomes using game data from professional esports leagues. Preliminary findings highlight the importance of strategy formulation and coordination, and suggest that aggressive tactics might be more effective than control tactics. The study seeks to contribute in two ways: methodologically, by demonstrating how digital trace data from esports can expand empirical team research, and theoretically, by advancing existing knowledge about team dynamics.
