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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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
Sommersguter-Reichmann, M., Rauner, M., & Behrens, D. (2023). Complexity, interface management and unintended consequences of planned interventions illustrated by the DRG financing of Austrian hospitals. Z'GuG Zeitschrift für Gemeinwirtschaft und Gemeinwohl, 46(4), 441-471. https://doi.org/10.5771/2701-4193-2023-4
Kötschau, R., Soeffker, N., & Ehmke, J. F. (2023). Mobile parcel lockers with individual customer service. Networks, 82(4), 506-526. https://doi.org/10.1002/net.22173
Chen, B., & Knyazev, D. (2023). Symmetric mechanism design: Comment. Journal of Mathematical Economics, 109, Artikel 102910. https://doi.org/10.1016/j.jmateco.2023.102910
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