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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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
Elting, S., Ehmke, J. F., & Gansterer, M. (2024). Collaborative transportation for attended home deliveries. Networks, 84(1), 84-106. https://doi.org/10.1002/net.22216
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, Artikel 108131. https://doi.org/10.1016/j.engappai.2024.108131
Saini, M., Prakash, G., Yaqub, M. Z., & Agarwal, R. (2024). Why do people purchase plant-based meat products from retail stores? Examining consumer preferences, motivations, and drivers. Journal of Retailing and Consumer Services, 81, Artikel 103939. https://doi.org/10.1016/j.jretconser.2024.103939
Alabdali, M. A., Khan, S. A., Yaqub, M. Z., & Alshahrani, M. A. (2024). Harnessing the Power of Algorithmic Human Resource Management and Human Resource Strategic Decision-Making for Achieving Organizational Success: An Empirical Analysis. Sustainability (Switzerland), 16(11), Artikel 4854. https://doi.org/10.3390/su16114854
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