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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Dörner, K. F., Stummer, C., & Zsifkovits, M. (2021). Preface: The modeling and simulation of complex systems. Annals of Operations Research, 305, 423-424. https://doi.org/10.1007/s10479-021-04247-1
Raha, A., Hajdini, I., & Windsperger, J. (2021). A multilateral stakeholder salience approach: An extension of the stakeholder identification and salience framework. Industrial Marketing Management, 97, 1-9. https://doi.org/10.1016/j.indmarman.2021.06.008
Grass, D., Feichtinger, G., Kort, P. M., & Seidl, A. (2021). Why (some) abnormal problems are "normal". Systems & Control Letters, 154, Artikel 104971. https://doi.org/10.1016/j.sysconle.2021.104971
Lang, M. A. K., Cleophas, C., & Ehmke, J. F. (2021). Multi-criteria Decision Making in Dynamic Slotting for Attended Home Deliveries. Omega, 102, Artikel 102305. https://doi.org/10.1016/j.omega.2020.102305
Morton, A., Bish, E., Megiddo, I., Zhuang, Z., Aringhieri, R., Brailsford, S., Deo, S., Geng, N., Higle, J., Hutton, D., Janssen, M., Hutton, E., Kaplan, E., Li, J., Oliveira, M., Prinja, S., Rauner, M., Silal, S., & Song, J. (2021). Introduction to the Special Issue: Management Science in the Fight Against Covid-19. Health Care Management Science, 24(2), 251–252. https://doi.org/10.1007/s10729-021-09569-x
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