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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Lyu, X., Tierney, K., & Schulte, F. (2026). Collaborative maritime and port transportation: A literature review. European Journal of Operational Research, 333(3), 631-651. https://doi.org/10.1016/j.ejor.2026.01.041
Scherr, N., Reed, S., Campbell, A. M., & Thomas, B. W. (2026). Policies for the dynamic same-day delivery problem with walking and parking. Transportation Research Part E: Logistics and Transportation Review , 212, Artikel 104898. https://doi.org/10.1016/j.tre.2026.104898
Scherr, Y. O., Gansterer, M., & Hartl, R. F. (2026). Collaborative vehicle routing with strategic request acceptance: The impact of profit sharing. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2026.07.033
Baumgartner, G., Kocatürk, F., Scherr, N., & Ehmke, J. F. (2026). Energy Optimization Models for the Locomotive Assignment Problem. Networks. Vorzeitige Online-Publikation. https://doi.org/10.1002/net.70058
Ahmedoglu, M. (2026). Turning legacy into alliance relevance: Czechia’s defense-industrial imaginary and the politics of selective sovereignty. New Perspectives: interdisciplinary journal of Central & East European politics and international relations. https://doi.org/10.1177/2336825X261466888
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