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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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
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), [13039]. https://doi.org/10.3390/su151713039
Ghasemi, P., Reza Pourhassan, M., Reza Khadem Roshandeh, M., & Sadat Seyed Bathaee, M. (2023). A Multi Echelon Location-Routing-Inventory Model for a Supply Chain Network: NSGA II and Multi-Objective Whale Optimization Algorithm. International Journal of Supply and Operations Management. https://doi.org/10.22034/IJSOM.2023.109996.2804
Heluo, Y., & Robson, C. W. (2023). A note on how public transport announcements affect the spread of COVID-19. Transportation Research Interdisciplinary Perspectives, 21, [100893]. https://doi.org/10.1016/j.trip.2023.100893
Rehsmann, D. (2023). The Sumo coach problem. Review of Economic Design, 27(3), 669-700. https://doi.org/10.1007/s10058-022-00316-4
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