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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Kinast, A., Dörner, K. F., & Rinderle-Ma, S. (2022). Combing metaheuristics and process mining: Improving cobot placement in a combined cobot assignment and job shop scheduling problem. in Procedia Computer Science (Band 200, S. 1836-1845). Elsevier. https://doi.org/10.1016/j.procs.2022.01.384
Chen, B., Chen, B., & Knyazev, D. (2022). Information disclosure in dynamic research contests. RAND Journal of Economics, 53(1), 113-137. https://doi.org/10.1111/1756-2171.12402
Völz, V., Mattfeld, D. C., & Scherr, Y. O. (2022). Relocation planning with partly autonomous vehicles in car sharing systems. Transportation Research Procedia, 62(62), 213-220. https://doi.org/10.1016/j.trpro.2022.02.027
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
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