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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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
Ghasemi, P., Ehmke, J. F., & Bicher, M. (2025). Managing equitable contagious disease testing: A mathematical model for resource optimization. Omega (United Kingdom), 135, Artikel 103305. https://doi.org/10.1016/j.omega.2025.103305
Elting, S., Ehmke, J. F., & Gansterer, M. (2025). Preference learning for efficient bundle selection in horizontal transport collaborations. European Journal of Operational Research, 324(3), 953-968. https://doi.org/10.1016/j.ejor.2025.02.002
Chen, B., & Knyazev, D. (2025). Optimal Discrimination-Free Auctions. Management Science. https://doi.org/10.1287/mnsc.2024.04584
Los, J., Schulte, F., Gansterer, M., Hartl, R. F., Spaan, M. T. J., & Negenborn, R. R. (2025). Large-scale collaborative vehicle routing. Annals of Operations Research, 350(1), 201-233. https://doi.org/10.1007/s10479-021-04504-3
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