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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Alarcon Ortega, E. J., Malicki, S., Dörner, K. F., & Minner, S. (2024). Stochastic inventory routing with dynamic demands and intra-day depletion. Computers & Operations Research, 163, [106503]. https://doi.org/10.1016/j.cor.2023.106503
Zaid, W. M. A., & Yaqub, M. Z. (2024). The Prolificacy of Green Transformational Leadership in Shaping Employee Green Behavior During Times of Crises in Small and Medium Enterprises: A Moderated Mediation Model. Frontiers in Psychology, 15, [1258990]. https://doi.org/10.3389/fpsyg.2024.1258990
Scherr, N., Ulmer, M. W., & Mattfeld, D. C. (2024). Balancing resources for dynamic vehicle routing with stochastic customer requests. OR Spectrum, 46(2), 331-373. https://doi.org/10.1007/s00291-024-00747-1
Lanchimba, C., Porras, H., Salazar, Y., & Windsperger, J. (2024). Franchising and country development: evidence from 49 countries. International Journal of Emerging Markets, 19(1), 7-32. https://doi.org/10.1108/IJOEM-07-2020-0779
Nicola Naranjo, D. A. (2024). Comparison of four mechanisms for request exchange in collaborative transportation. International Transactions in Operational Research, 31(1), 515-540. https://doi.org/10.1111/itor.13119
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