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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Windsperger, J., & Raha, A. (Hrsg.) (2025). Research handbook on the theory of the firm. Manuskript in Vorbereitung. in Research handbook on the theory of the firm Edward Elgar Publishing.
Horstmannshoff, T., Ehmke, J. F., & Ulmer, M. (2024). Dynamic learning-based search for multi-criteria itinerary planning. Omega, 129, [103159]. https://doi.org/10.1016/j.omega.2024.103159
Heluo, Y., & Fabel, O. (2024). Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan. Technological Forecasting and Social Change, 209, [123772]. https://doi.org/10.1016/j.techfore.2024.123772
Feichtinger, G., Grass, D., Hartl, R. F., Kort, P. M., & Seidl, A. (Angenommen/Im Druck). The digital economy and advertising diffusion models:Critical mass and the Stalling equilibrium. European Journal of Operational Research, 318(3), 966-978. https://doi.org/10.1016/j.ejor.2024.05.043
Sun, Z., Zhao, L., Mehrotra, A., Salam, M. A., & Yaqub, M. Z. (Angenommen/Im Druck). Digital Transformation and Corporate Green Innovation: An Affordance Theory Perspective. Business Strategy and the Environment.
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