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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Meske, C., Bunde, E., & Ehmke, J. F. (2020). Improving customers' decision making on blackboxed multimodal mobility platforms - A design science approach. in International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global Association for Information Systems.
Novak, A., Feichtinger, G., & Wirl, F. (2020). Institutional Change, Education, and Population Growth: Lessons from Dynamic Modelling. in Dynamic Modeling and Econometrics in Economics and Finance (Band 25, S. 37-56)
Glaser, M., Jirasek, M., & Windsperger, J. (2020). Ownership Structure of Franchise Chains: Trade-Off Between Adaptation and Control. International Journal of the Economics of Business, 27(3), 357-375. https://doi.org/10.1080/13571516.2020.1718460
Ehmke, J. F., & Haferkamp, J. (2020). Potential of Anticipatory Decision-Making in Dynamic Fleet Management. 1-4. Beitrag in Proceedings of the TSL Second Triennial Conference, USA / Vereinigte Staaten. https://www.informs.org/content/download/382185/4156366/file/49_Jarmo_Haferkamp_Potential_of_Anticipatory_Decision-Making.pdf
Gansterer, M., & Hartl, R. (2020). The collaborative multi-level lot-sizing problem with cost synergies. International Journal of Production Research, 58(2), 332-349. https://doi.org/10.1080/00207543.2019.1584415
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