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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Dragomir, A.-G., & Dörner, K. F. (2020). Solution techniques for the inter-modal pickup and delivery problem in two regions. Computers & Operations Research, 113, Artikel 104808. https://doi.org/10.1016/j.cor.2019.104808
Minarikova, D., Mumdziev, N., Griessmair, M., & Windsperger, J. (2020). The bright side and dark side of trust: The mediating effect of franchisor trust on performance. Managerial and Decision Economics: the international journal of research and progress in management economics, 41(1), 116-129. https://doi.org/10.1002/mde.3097
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.
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