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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Fröhlich, G. E. A., Gansterer, M., & Dörner, K. F. (2023). A rolling horizon framework for the time-dependent multi-visit dynamic safe street snow plowing problem. Networks, 83(2), 236-255. Vorzeitige Online-Publikation. https://doi.org/10.1002/net.22189
Staribacher, D., Rauner, M., & Helmut, N. (2023). Hospital Resource Planning for Mass Casualty Incidents: Limitations for Coping with Multiple Injured Patients. Healthcare : open access journal, 11(20), 1-21. Artikel 2713. https://doi.org/10.3390/healthcare11202713
Babaeinesami, A., Ghasemi, P., & Pourghader Chobar, A. (2023). A Stackelberg Game for Closed-Loop Supply Chains under Uncertainty with Genetic Algorithm and Gray Wolf Optimization. Supply Chain Analytics, 4, Artikel 100040. Vorzeitige Online-Publikation. https://doi.org/10.1016/j.sca.2023.100040
Fabel, O., Mauser, S., & Zhang, Y. (2023). Performance contests and merit pay with empathic employees. Managerial and Decision Economics, 45(1), 353-372. https://doi.org/10.1002/mde.4003, https://doi.org/10.1002/mde.4003
Ahmadi, S. A., Ghasemi, P., Prasad, M. S. V., Modibbo, U. M., & Ahmadi, S. A. (2023). Attaining Sustainable Development Goals through Financial Inclusion: Exploring Collaborative Approaches to Fintech Adoption in Developing Economies. Sustainability (Switzerland), 15(17), Artikel 13039. https://doi.org/10.3390/su151713039
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