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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Jell-Ojobor, M., & Raha, A. (2022). Being good at being good-The mediating role of an environmental management system in value-creating green supply chain management practices: The mediating role of an environmental management system in value-creating green supply chain management . Business Strategy and the Environment, 31(5), 1964-1984. https://doi.org/10.1002/bse.2993
Dragomir, A.-G., Van Woensel, T., & Dörner, K. F. (2022). The pickup and delivery problem with alternative locations and overlapping time windows. Computers & Operations Research, 143, Artikel 105758. https://doi.org/10.1016/j.cor.2022.105758
Fabel, O., Mináriková, D., & Hopp, C. (2022). Differences and similarities in executive hiring decisions of family and non-family firms. Journal of Family Business Strategy, 13(2), Artikel 100481. https://doi.org/10.1016/j.jfbs.2021.100481
Schoop, M., & Vetschera, R. (2022). Negotiation Systems and Studies. Group Decision and Negotiation, 31(3), 529-530. https://doi.org/10.1007/s10726-022-09788-9
Söffker, N., Ulmer, M. W., & Mattfeld, D. C. (2022). Stochastic Dynamic Vehicle Routing in the Light of Prescriptive Analytics: A Review. European Journal of Operational Research, 298(3), 801-820. https://doi.org/10.1016/j.ejor.2021.07.014
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