Welcome to
the Department of Business Decisions and Analytics
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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Hartl, R. F., Tzur, M., & Gansterer, M. (2022). Transportation in the Sharing Economy. Transportation Science, 56(3), 567-570. https://doi.org/10.1287/trsc.2022.1143
Los, J., Schulte, F., Gansterer, M., Hartl, R. F., Spaan, M. T. J., & Negenborn, R. R. (2022). Large-scale collaborative vehicle routing. Annals of Operations Research. Vorzeitige Online-Publikation. https://doi.org/10.1007/s10479-021-04504-3
Behrens, D., Rauner, M., & Sommersguter-Reichmann, M. (2022). Why Resilience in Health Care Systems is More than Coping with Disasters: Implications for Health Care Policy. Schmalenbach Journal of Business Research, 74(4), 465-495. https://doi.org/10.1007/s41471-022-00132-0
Griessmair, M., & Hippmann, P. (2022). Anger, Guilt, and Repeated Cooperation in Social Dilemmas. Emotion, 22(3), 444-465. https://doi.org/10.1037/emo0000897
Haferkamp, J., & Ehmke, J. F. (2022). Effectiveness of demand and fulfillment control in dynamic fleet management of ride-sharing systems. Networks, 79(3), 314-337. https://doi.org/10.1002/net.22062
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