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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Qamar, A., Aslam, M. S., Yaqub, M. Z., Ahmad, F., Ali, I., & Ali, M. (Angenommen/Im Druck). Knowledge acquisition in international alliances: Analysing determinants, outcomes, and boundary conditions. European Journal of International Management.
Sreen, N., Alzeiby, E., Yaqub, M. Z., & Mohapatra, A. K. (Angenommen/Im Druck). Tourists’ Personality traits and Dining-in/Dining-out preferences. An Approach-Avoidance Theory Perspective. Tourism Recreation Research.
Goodarzian, F., & Ghasemi, P. (2023). A state-of-the-art review of operation research models and applications in home healthcare. Healthcare Analytics, 4, [100228]. https://doi.org/10.1016/j.health.2023.100228
Khare, P., Joshi, K., & Joshi, A. (2023). A System Dynamics Approach to Rural Community Resilience: Learnings from the COVID-19 Pandemic. International Journal of Community Well-Being, 6(4), 389-409. https://doi.org/10.1007/s42413-023-00199-5
Sommersguter-Reichmann, M., Rauner, M., & Behrens, D. (2023). Complexity, interface management and unintended consequences of planned interventions illustrated by the DRG financing of Austrian hospitals. Z'GuG Zeitschrift für Gemeinwirtschaft und Gemeinwohl, 46(4), 441-471. https://doi.org/10.5771/2701-4193-2023-4
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