Welcome to the Department of Business Analytics and Decision Making
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.
News
Research
New Papers
Zeige Ergebnisse 1 - 5 von 274
Heluo, Y., Wang, K., Robson, C. W., Zhou, Z., Wang, X., & Fabel, O. (2026). Public announcements and mask use during COVID-19 bridging regression and machine learning. Scientific Reports, 16(1), Artikel 25659. https://doi.org/10.1038/s41598-026-55230-4
Lyu, X., Tierney, K., & Schulte, F. (2026). Collaborative maritime and port transportation: A literature review. European Journal of Operational Research, 333(3), 631-651. https://doi.org/10.1016/j.ejor.2026.01.041
Engin, A., Rauner, M., Erbschwendtner, B., & Kaltenböck, J. (2026). A Bayesian Analysis of Personality Types and Stress Coping Strategies of Austrian Red Cross Paramedics. Manuskript zur Veröffentlichung eingereicht.
Scherr, N., Reed, S., Campbell, A. M., & Thomas, B. W. (2026). Policies for the dynamic same-day delivery problem with walking and parking. Transportation Research Part E: Logistics and Transportation Review , 212, Artikel 104898. https://doi.org/10.1016/j.tre.2026.104898
Scherr, Y. O., Gansterer, M., & Hartl, R. F. (2026). Collaborative vehicle routing with strategic request acceptance: The impact of profit sharing. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2026.07.033
Zeige Ergebnisse 1 - 5 von 274