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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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
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
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