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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New Papers
Goodarzian, F., Ghasemi, P., Gunasekaren, A., Taleizadeh, A. A., & Abraham, A. (2022). A sustainable-resilience healthcare network for handling COVID-19 pandemic. Annals of Operations Research. doi.org/10.1007/s10479-021-04238-2
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. 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. 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), [103666]. doi.org/10.1016/j.im.2022.103666
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. doi.org/10.1016/j.ejor.2021.08.029