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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Sommersguter-Reichmann, M., Rauner, M., & Behrens, D. (2023). Complexity, interface management and unintended consequences of planned interventions illustrated by the DRG financing of Austrian hospitals. Z'GuG Zeitschrift für Gemeinwirtschaft und Gemeinwohl, 46(4), 441-471. https://doi.org/10.5771/2701-4193-2023-4
Kötschau, R., Soeffker, N., & Ehmke, J. F. (2023). Mobile parcel lockers with individual customer service. Networks, 82(4), 506-526. https://doi.org/10.1002/net.22173
Burian, M., Köhler, C., Campbell, A. M., & Ehmke, J. F. (2023). Service time window selection for attended home deliveries: a case study for urban and rural areas. Central European Journal of Operations Research. https://doi.org/10.1007/s10100-023-00879-9
Chen, B., & Knyazev, D. (2023). Symmetric mechanism design: Comment. Journal of Mathematical Economics, 109, [102910]. https://doi.org/10.1016/j.jmateco.2023.102910
Akbari, K., Eigruber, M., & Vetschera, R. (2023). Risk attitudes: The central tendency bias. EURO Journal on Decision Processes, 12(100042). https://www.sciencedirect.com/science/article/pii/S2193943823000158?via%3Dihub
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