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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Feichtinger, G., Grass, D., Hartl, R. F., Kort, P. M., & Seidl, A. (2024). The digital economy and advertising diffusion models:Critical mass and the Stalling equilibrium. European Journal of Operational Research, 318(3), 966-978. https://doi.org/10.1016/j.ejor.2024.05.043
Choukolaei, H. A., Mirani, S. E., Ghasemi, P., & Jahangoshai Rezaee, M. (2024). System dynamics simulation follow-up fuzzy cognitive map for investigating the effect of risks on relief in crisis management. Engineering Applications of Artificial Intelligence, 136, Artikel 109002. https://doi.org/10.1016/j.engappai.2024.109002
Knyazev, D. (2024). Buyers’ welfare maximizing auction design: comment. International Journal of Game Theory, 53(3), 1073-1075. https://doi.org/10.1007/s00182-024-00904-4
Otto, A., & Tilk, C. (2024). Intelligent design of sensor networks for data-driven sensor maintenance at railways. Omega (United Kingdom), 127, Artikel 103094. https://doi.org/10.1016/j.omega.2024.103094
Vetschera, R., & Dias, L. C. (2024). Confidence and Outcome Expectations in Bilateral Negotiations–A Dynamic Model. Group Decision and Negotiation, 33, 775-803. https://doi.org/10.1007/s10726-024-09886-w
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