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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Ghasemi, P., Ehmke, J. F., & Bicher, M. (2025). Managing equitable contagious disease testing: A mathematical model for resource optimization. Omega (United Kingdom), 135, Artikel 103305. https://doi.org/10.1016/j.omega.2025.103305
Elting, S., Ehmke, J. F., & Gansterer, M. (2025). Preference learning for efficient bundle selection in horizontal transport collaborations. European Journal of Operational Research, 324(3), 953-968. https://doi.org/10.1016/j.ejor.2025.02.002
Amlashi, D. M., Voelz, A., & Karagiannis, D. (2025). Artificial Intelligence and Internet of Things: A Neuro-Symbolic Approach for Automated Platform Configuration. Neurosymbolic Artificial Intelligence. https://doi.org/10.1177/29498732251340187
Schleibaum, S., Teusch, J., Scherr, Y. O., & Müller, J. P. (2025). Spatial-Temporal Patterns of E-Scooter Demand Prediction Across Cities. Transportation Research Procedia, 86, 48-55. https://doi.org/10.1016/j.trpro.2025.04.007
Mohammadhosseini Fadafan, E., & Vetschera, R. (2025). Buyer’s choice of a seller using smart contracts. SN Business and Economics, 5(4), Artikel 33. https://doi.org/10.1007/s43546-025-00799-7
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