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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Ahadzadeh, R., Dehghani, E., & Ghasemi, P. (2026). Towards sustainable closed-loop photovoltaic supply chains: A hybrid framework integrating reinforcement learning and mathematical models. Expert systems with applications, 296(D), Artikel 129182. https://doi.org/10.1016/j.eswa.2025.129182
Artelt, A., Olsen, M., & Tierney, K. (2025). On the Hardness of Computing Counterfactual and Semi-factual Explanations in XAI. Transactions on Machine Learning Research (TMLR). https://openreview.net/forum?id=aELzBw0q1O
Kostyukova, M., Windsperger, J., & Strauss, C. (2025). Platforms’ Social Impact in Times of Disruptions: Cases of Uber and Airbnb During the War in Ukraine. Beitrag in SCIA-2025: 4th International Workshop on Social Communication and Information Activity in Digital Humanities, October 30, 2025, Lviv, Ukraine, Lviv, Ukraine. https://ceur-ws.org/Vol-4107/paper3.pdf
Vetschera, R., & Knyazev, D. (2025). Does carrier collaboration require combinatorial auctions? European Journal of Operational Research, 326(3), 481-497. https://doi.org/10.1016/j.ejor.2025.04.021
Roljic, B., & Chen, Y. (2025). A Heavy-Duty Vehicle Routing Problem With Temperature Constraints. Networks, 87(2). https://doi.org/10.1002/net.70008
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