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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Hess, C., Müller, A-G., Dörner, K. F., & Vigo, D. (2024). Waste collection routing: a survey on problems and methods. Central European Journal of Operations Research, 32(2), 399-434. https://doi.org/10.1007/s10100-023-00892-y
Saini, M., Prakash, G., Yaqub, M. Z., & Agarwal, R. (Angenommen/Im Druck). Why do people purchase plant-based meat products from retail stores? Examining consumer preferences, motivations, and drivers. Journal of Retailing and Consumer Services.
Anwar, M. A., Zong, Z., Mendiratta, A., & Yaqub, M. Z. (Angenommen/Im Druck). Antecedents of Big Data Analytics Adoption and its Impact on Decision Quality and Environmental Performance of SMEs in Recycling Sector. Technological Forecasting & Social Change.
Goodarzian, F., Ghasemi, P., Appolloni, A., Ali, I., & Cardenas Barron, L. (2024). Supply chain network design based on Big Data Analytics: heuristic-simulation method in a pharmaceutical case study. Production Planning & Control, 1-21. https://doi.org/10.1080/09537287.2024.2344729
Ehmke, J. F., Klein, R., Steinhardt, C., & Strauss, A. (2024). Data-driven demand and supply management for online-to-offline logistic services. OR Spectrum, 46, 237-240. https://doi.org/10.1007/s00291-024-00768-w
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