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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Rist, Y., Tilk, C., & Forbes, M. (Angenommen/Im Druck). Benders Decomposition with Delayed Disaggregation for the Active Passive Vehicle Routing Problem. European Journal of Operational Research, 318(3), 836-850. https://doi.org/10.1016/j.ejor.2024.05.041
Vetschera, R., & Dias, L. C. (Angenommen/Im Druck). Confidence and Outcome Expectations in Bilateral Negotiations–A Dynamic Model. Group Decision and Negotiation. https://doi.org/10.1007/s10726-024-09886-w
Horstmannshoff, T., Ehmke, J. F., & Ulmer, M. (2024). Dynamic learning-based search for multi-criteria itinerary planning. Omega. https://doi.org/10.1016/j.omega.2024.103159
Bokhari, S. A. A., Aftab, M., Yaqub, M. Z., Ali, M., & Malik, A. (2024). Entrepreneurs’ Dynamic Managerial Capabilities as a Source of Sustained Competitive Advantage for Small and Medium Enterprises. International Journal of Business Performance Management, 25(2), 219-241. https://doi.org/10.1504/IJBPM.2024.137002
Alshahrani, M. A., Yaqub, M. Z., & Alabdali, M. A. (2024). Examining the Role of Intellectual Capital in Maturing Sustainable Competitive Advantage through Enkindling Innovations in SMEs: The Moderating Role of Entrepreneurship-Orientation. Journal of Intellectual Capital.
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