Welcome to the Department of Business Analytics and Decision Making
The Department of Business Decisions and Analytics is dedicated to high-quality research in quantitative economics and decision support. Building upon a data-driven and optimization-oriented perspective, we develop models and solve complex problems in today’s rapidly changing business environment. We are committed to research-based and competent teaching and try to convey a deep understanding of methods and real-world problems.
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Rauner, M., Weinhart, J., & Schwarz, B. (2025). Pandemie im Wandel: Die erste Welle von COVID-19, ergriffene Maßnahmen zum Schutze des Gesundheitssektors und zukünftige Implikationen. Manuskript zur Veröffentlichung eingereicht. in B. Grüb-Martin (Hrsg.), Herausgeberband NPOs im Wandel : Herausforderungen und Chancen Springer.
Ghasemi, P., Goli, A., Goodarzian, F., & Ehmke, J. F. (2025). Simulation-based genetic algorithm for optimizing a municipal cooperative waste supply chain in a pandemic. Engineering Applications of Artificial Intelligence, 139(Part A), Artikel 109478. https://doi.org/10.1016/j.engappai.2024.109478
Raha, A., Hajdini, I., & Windsperger, J. (2025). A Stakeholder Model of Performance in Networks Evidence from Central European Franchising Firms. European Management Review.
Amlashi, D. M., Voelz, A., & Song, J. (2025). Dynamic Adaption of Metamodels Based on Knowledge Graphs. in J. Grabis, & Y. Wautelet (Hrsg.), Advanced Information Systems Engineering Workshops (S. 18-29). Springer Nature Switzerland.
Windsperger, J., & Raha, A. (Hrsg.) (2025). Research handbook on the theory of the firm. Manuskript in Vorbereitung. in Research handbook on the theory of the firm Edward Elgar Publishing.
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