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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Hartl, R. F., Kort, P. M., & Wrzaczek, S. (2023). Reputation or warranty, what is more effective against planned obsolescence? International Journal of Production Research, 61(3), 939-954. https://doi.org/10.1080/00207543.2021.2020929
Windsperger, J., Galak, O., & Raha, A. (2023). The Structure of Decision Rights in International Joint Ventures: A Property Rights and Transaction Cost View. European Journal of International Management, 19(3), 338-364. https://doi.org/10.1504/EJIM.2022.10046548
Momenitabar, M., Ebrahimi, Z. D., & Ghasemi, P. (2022). Designing a sustainable bioethanol supply chain network: A combination of machine learning and meta-heuristic algorithms. Industrial Crops and Products, 189, [115848]. https://doi.org/10.1016/j.indcrop.2022.115848
Novák, A. J., & Feichtinger, G. (2022). Accumulation and obsolescence of research knowledge. Central European Journal of Operations Research, 30(4), 1151-1166. https://doi.org/10.1007/s10100-021-00755-4
Braune, R. (2022). Packing-based branch-and-bound for discrete malleable task scheduling. Journal of Scheduling, 25(6), 675-704. https://doi.org/10.1007/s10951-022-00750-w
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