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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Wolfinger, D., Gansterer, M., Dörner, K. F., & Popper, N. (2023). A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem. European Journal of Operational Research, 304(1), 169-182. https://doi.org/10.1016/j.ejor.2021.10.028
Breuer, W., Bischof, J., Fabel, O., Hofmann, C., Hundsdoerfer, J., & Weitzel, T. (2023). Business economics in a pandemic world: how a virus changed our economic life. Journal of Business Economics, 93(1-2), 1-9. https://doi.org/10.1007/s11573-023-01135-x
Vetschera, R., & Dias, L. C. (2023). Confidence in bargaining processes and outcomes: Empirical tests of a conceptual model. EURO Journal on Decision Processes, 11, Artikel 100028. https://doi.org/10.1016/j.ejdp.2023.100028
Krebs, C., Ehmke, J. F., & Koch, H. (2023). Effective loading in combined vehicle routing and container loading problems. Computers and Operations Research, 149, Artikel 105988. https://doi.org/10.1016/j.cor.2022.105988
Köhler, C., Ehmke, J. F., Campbell, A. M., & Cleophas, C. (2023). Evaluating pricing strategies for premium delivery time windows. EURO Journal on Transportation and Logistics, 12, Artikel 100108. https://doi.org/10.1016/j.ejtl.2023.100108
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