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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Mlekusch, J., & Hartl, R. (2024). The Dual-Resource-Constrained Re-entrant Flexible Flow shop A Constraint Programming approach and a Hybrid Genetic Algorithm. International Journal of Production Research. https://doi.org/10.1080/00207543.2024.2392198
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
Heitmann, R. .-J. O., Scherr, N., Klawonn, F., Ulmer, M. W., & Mattfeld, D. C. (2024). Accelerating value function approximations for dynamic dial-a-ride problems via dimensionality reductions. Computers & Operations Research, 167, Artikel 106639. https://doi.org/10.1016/j.cor.2024.106639
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