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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Kinyo, R., Auer-Zotloeterer, K., & Strauss, C. (2025). Chatbots at Work - A Qualitative Case Study to Analyse the Service Quality of Chatbots in the Public Sector in Austria. in https://limen-conference.com/paper-category/tenth-international-scientific-business-conference-limen-leadership-innovation-management-and-economics-integrated-politics-of-research/ https://doi.org/10.31410/LIMEN.2024.89
Vetschera, R., & Knyazev, D. (2025). Does carrier collaboration require combinatorial auctions? European Journal of Operational Research, 326(3), 481-497. https://doi.org/10.1016/j.ejor.2025.04.021
Roljic, B., & Chen, Y. (2025). A Heavy-Duty Vehicle Routing Problem With Temperature Constraints. Networks, 87(2). https://doi.org/10.1002/net.70008
Goodarzian, F., & Ghasemi, P. (2025). A Case-Driven Simulation-Optimization Model for Sustainable Medical Logistics Network. Socio-Economic Planning Sciences, 101, Artikel 102271. https://doi.org/10.1016/j.seps.2025.102271
Guo, S. (2025). The influence of anticipated regretful participants on group decisions. Central European Journal of Operations Research.
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