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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Windsperger, J., & Raha, A. (Hrsg.) (2025). Research handbook on the theory of the firm. Manuskript in Vorbereitung. in Research handbook on the theory of the firm Edward Elgar Publishing.
Shamrooz Aslam, M., Bilal, H., S,band, S., & Ghasemi, P. (2024). Modeling of nonlinear supply chain management with lead-times based on Takagi-Sugeno fuzzy control model. Engineering Applications of Artificial Intelligence, 133, [108131]. https://doi.org/10.1016/j.engappai.2024.108131
Scherr, Y. O., Gansterer, M., & Hartl, R. F. (2024). Request acceptance with overbooking in dynamic and collaborative vehicle routing. European Journal of Operational Research, 314(2), 612-629. https://doi.org/10.1016/j.ejor.2023.10.014
Alabdali, M. A., Yaqub, M. Z., Agarwal, R., Alofaysan, H., & Mohapatra, A. (2024). Unveiling Green Digital Transformational Leadership. Nexus between Green Digital Culture, Green Digital Mindset and Green Digital Transformation. Journal of cleaner production, 450, [141670]. https://doi.org/10.1016/j.jclepro.2024.141670
Goodarzian, F., Abraham, A., Taghipour, A., & Ghasemi, P. (2024). A Benders decomposition approach for a new sustainable pharmaceutical supply chain network: a case study in France. Annals of Operations Research. https://doi.org/10.1007/s10479-024-05936-3
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