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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Schosser, A., Senft, B., & Rauner, M. (2022). The benefit of an ambulant psychiatric rehabilitation program in Vienna, Austria: an uncontrolled repeated measures study. Central European Journal of Operations Research, 30(1), 19-48. https://doi.org/10.1007/s10100-021-00773-2
Jell-Ojobor, M., Hajdini, I., & Windsperger, J. (2022). Governance of international franchise networks: Combining value creation and value appropriation perspectives. Journal of Business Research, 139, 267-279. https://doi.org/10.1016/j.jbusres.2021.09.001
Braune, R., Benda, F., Dörner, K. F., & Hartl, R. (2022). A Genetic Programming Learning Approach to Generate Dispatching Rules for Flexible Shop Scheduling Problems. International Journal of Production Economics, 243, Artikel 108342. https://doi.org/10.1016/j.ijpe.2021.108342
Parragh, S., Tricoire, F., & Gutjahr, W. (2022). A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem. OR Spectrum, 44, 419-459. https://doi.org/10.1007/s00291-020-00616-7
Freiberger, M., Grass, D., Kuhn, M., Seidl, A., & Wrzaczek, S. (2022). Chasing up and locking down the virus: Optimal pandemic interventions within a network. Journal of Public Economic Theory, 24(5), 1182-1217. https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpet.12604
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