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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Sommersguter-Reichmann, M., Rauner, M., & Behrens, D. (Angenommen/Im Druck). Complexity, interface management and unintended consequences of planned interventions illustrated by the DRG financing of Austrian hospitals. Z'GuG Zeitschrift für Gemeinwirtschaft und Gemeinwohl, (4).
Köhler, C., Campbell, A. M., & Ehmke, J. F. (Angenommen/Im Druck). Data-driven customer acceptance for attended home delivery. OR Spectrum. https://doi.org/10.1007/s00291-023-00712-4
Yaqub, M. Z., Raha, A., Jell-Ojobor, M., & Windsperger, J. (2023). Governance, Strategy, and Management of International Business Networks in Uncertain Times. Manuskript in Vorbereitung.
Goodarzian, F., Ghasemi, P., & Abraham, A. (2023). Key success factors for blockchain implementation in supply chain management. in K. Mathiyazhagan, V. R. Sreedharan, D. Mathivathanan, & V. Sunder M (Hrsg.), Blockchain in a Volatile-Uncertain-Complex-Ambiguous World (S. 219-231). Elsevier. https://doi.org/10.1016/B978-0-323-89963-5.00003-4
Hendrikse, G. (Hrsg.), Cliquet, G., Hajdini, I. (Hrsg.), Raha, A. (Hrsg.), & Windsperger, J. (Hrsg.) (2023). Networks in International Business: Managing Cooperatives, Franchises and Alliances. Springer. Contributions to Management Science https://doi.org/10.1007/978-3-031-18134-4
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