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.
News
Teaching
Research
New Papers
Zeige Ergebnisse 1 - 5 von 193
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
Aslam, M. S., Qammar, A., Ali, I., Yaqub, M. Z., Ahmad, F., & Mohapatra, A. K. (Angenommen/Im Druck). Fostering Innovation Speed and Quality in ICT Firms: The Role of Knowledge Governance Mechanisms, Absorptive Capacity and Environmental Dynamism. Technological Forecasting & Social Change.
Kilgour, D. M., & Vetschera, R. (2024). Two‑Person Fair Division with Additive Valuations. Group Decision and Negotiation, 33(2). https://doi.org/10.1007/s10726-024-09885-x
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
Zeige Ergebnisse 1 - 5 von 193