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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Griessmair, M., & Gettinger, J. (2020). Take the Right Turn: The Role of Social Signals and Action-Reaction Sequences in Enacting Turning Points in Negotiations. Group Decision and Negotiation, 29(3), 425-459. https://doi.org/10.1007/s10726-020-09664-4
Gansterer, M., & Hartl, R. F. (2020). Shared resources in collaborative vehicle routing. TOP. An Official Journal of the Spanish Society of Statistics and Operations Research, 28(1), 1-20. https://doi.org/10.1007/s11750-020-00541-6
Engin, A., & Vetschera, R. (2020). A 2020 perspective on “Optimistic overconfidence in electronic reverse auctions A research commentary on Behavioral OR methods”. Electronic Commerce Research and Applications, 40, Artikel 100937. https://doi.org/10.1016/j.elerap.2020.100937
Gansterer, M., Hartl, R., & Savelsbergh, M. W. P. (2020). The value of information in auction-based carrier collaborations. International Journal of Production Economics, 221, Artikel 107485. https://doi.org/10.1016/j.ijpe.2019.09.006
Sarasola, B., & Dörner, K. F. (2020). Adaptive large neighborhood search for the vehicle routing problem with synchronization constraints at the delivery location. Networks (New York): an international journal, 75(1), 64-85. https://doi.org/10.1002/net.21905
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