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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Los, J., Schulte, F., Gansterer, M., Hartl, R. F., Spaan, M. T. J., & Negenborn, R. R. (2020). Decentralized Combinatorial Auctions for Dynamic and Large-Scale Collaborative Vehicle Routing. in M. Mes, S. Voß, & E. Lalla-Ruiz (Hrsg.), Computational Logistic : 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (S. 215-230). Springer. https://doi.org/10.1007/978-3-030-59747-4_14
Dawid, H., Hartl, R. F., & Kort, P. M. (2020). Dynamic models of the firm with green energy and goodwill with a constant size of the output market. in International Series in Operations Research and Management Science (Band 280, S. 131-146). Springer New York LLC. https://doi.org/10.1007/978-3-030-19107-8_8
Bunde, E., Meske, C., & Ehmke, J. F. (Angenommen/Im Druck). Establishing Design Knowledge to Improve Users’ Decision Making on Blackboxed Multimodal Mobility Platforms. Proceedings of the International Conference on Information Systems.
Meske, C., Bunde, E., & Ehmke, J. F. (2020). Improving customers' decision making on blackboxed multimodal mobility platforms - A design science approach. in International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global Association for Information Systems.
Novak, A., Feichtinger, G., & Wirl, F. (2020). Institutional Change, Education, and Population Growth: Lessons from Dynamic Modelling. in Dynamic Modeling and Econometrics in Economics and Finance (Band 25, S. 37-56)
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