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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Scherr, Y. O., Hewitt, M., & Mattfeld, D. C. (2022). Stochastic service network design for a platooning service provider. Transportation Research Part C: Emerging Technologies, 144, Artikel 103912. https://doi.org/10.1016/j.trc.2022.103912
Ritzinger, U., Puchinger, J., Rudloff, C., & Hartl, R. F. (2022). Comparison of anticipatory algorithms for a dial-a-ride problem. European Journal of Operational Research, 301(2), 591-608. https://doi.org/10.1016/j.ejor.2021.10.060
Feichtinger, G., Hartl, R. F., Kort, P. M., Seidl, A., & Wrzaczek, S. (2022). Asymmetric Information in a Capital Accumulation Differential Game with Spillover and Learning Effects. Journal of Optimization Theory and Applications, 194(3), 878-895. https://doi.org/10.1007/s10957-022-02054-7
Engin, A., & Vetschera, R. (2022). In whose bed shall I sleep tonight? The impact of transaction-specific versus partner-specific information on pricing on a sharing platform. Information & Management, 59(6), Artikel 103666. https://doi.org/10.1016/j.im.2022.103666, https://doi.org/https://phaidra.univie.ac.at/o:1632810
Redmond, M., Campbell, A. M., & Ehmke, J. F. (2022). Reliability in Public Transit Networks Considering Backup Itineraries. European Journal of Operational Research, 300(3), 852-864. https://doi.org/10.1016/j.ejor.2021.08.029
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