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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Yaqub, M. Z., Sreckovic, M., Cliquet, G., Hendrikse, G., & Windsperger, J. (2020). Network Innovation versus Innovation through Networks. Industrial Marketing Management, 90, 79-89. https://doi.org/10.1016/j.indmarman.2020.07.001
Hajdini, I., & Windsperger, J. (2020). REAL OPTIONS IN FRANCHISE CONTRACTING: An Application of Transaction Cost and Real Options Theory. European Journal of Law and Economics, 50, 313–337. https://doi.org/10.1007/s10657-020-09665-3
Florio, A. M., Hartl, R., & Minner, S. (2020). Optimal a priori tour and restocking policy for the single-vehicle routing problem with stochastic demands. European Journal of Operational Research, 285(1), 172-182. https://doi.org/10.1016/j.ejor.2018.10.045
Chenavaz, R. Y., Feichtinger, G., Hartl, R. F., & Kort, P. M. (2020). Modeling the impact of product quality on dynamic pricing and advertising policies. European Journal of Operational Research, 284(3), 990-1001. https://doi.org/10.1016/j.ejor.2020.01.035
Fabel, O., Hopp, C., & Speil, A. (2020). Advice-seeking and advice-utilization for hiring decisions: An investigation of a partially outsourced recruitment process for rank-and-file managers. Managerial and Decision Economics, 41(5), 784-799. https://doi.org/10.1002/mde.3138
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