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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Qamar, A., Aslam, M. S., Yaqub, M. Z., Ahmad, F., Ali, I., & Ali, M. (Angenommen/Im Druck). Knowledge acquisition in international alliances: Analysing determinants, outcomes, and boundary conditions. European Journal of International Management.
Ahmadi, S. A., Ghasemi, P., & Ehmke, J. F. (Angenommen/Im Druck). Optimizing urban bike-sharing systems: a stochastic mathematical model for infrastructure planning. Central European Journal of Operations Research. https://doi.org/10.1007/s10100-024-00950-z
Engin, A., & Schaffhauser-Linzatti, M. (2024). Was tun mit Gewinnen? Eine Analyse zum strategischen Gewinnausweis österreichischer Universitäten. Hochschulmanagement. Zeitschrift für Leitung, Entwicklung und Selbstverwaltung von Hochschulen und Wissenseinrichtungen, 19(3+4), 90-95.
Goodarzian, F., & Ghasemi, P. (2023). A state-of-the-art review of operation research models and applications in home healthcare. Healthcare Analytics, 4, Artikel 100228. https://doi.org/10.1016/j.health.2023.100228
Khare, P., Joshi, K., & Joshi, A. (2023). A System Dynamics Approach to Rural Community Resilience: Learnings from the COVID-19 Pandemic. International Journal of Community Well-Being, 6(4), 389-409. https://doi.org/10.1007/s42413-023-00199-5
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