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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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
Kilgour, D. M., & Vetschera, R. (2024). Two‑Person Fair Division with Additive Valuations. Group Decision and Negotiation, 33(2), 745-774. https://doi.org/10.1007/s10726-024-09885-x
Alshahrani, M. A., Yaqub, M. Z., & Alabdali, M. A. (2024). Examining the Role of Intellectual Capital in Maturing Sustainable Competitive Advantage through Enkindling Innovations in SMEs: The Moderating Role of Entrepreneurship-Orientation. Journal of Intellectual Capital, 25(2/3), 328-359. https://doi.org/10.1108/JIC-05-2023-0111
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