Department of Business Decisions and Analytics

Department of Business Decisions and Analytics

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Photo by Jonathan Kemper on Unsplash

Research

The Department of Business Decisions and Analytics is dedicated to high-quality research in quantitative economics and decision support. Building on a data-driven, optimization-oriented perspective, we develop models and solve complex problems in today’s rapidly changing business environment.

Our Research

A notebook with bar charts and numbers is explained by pointing with a hand
Barbara Mair

Recent Publications

2026

Heluo Y, Wang K, Robson CW, Zhou Z, Wang X, Fabel O. Public announcements and mask use during COVID-19 bridging regression and machine learning. Scientific Reports. 2026 Dec;16(1):25659. doi: 10.1038/s41598-026-55230-4

www.scopus.com/pages/publications/105047613364

Lyu X, Tierney K, Schulte F. Collaborative maritime and port transportation: A literature review. European Journal of Operational Research. 2026 Sept 16;333(3):631-651. doi: 10.1016/j.ejor.2026.01.041

www.scopus.com/pages/publications/105029970009

Engin A, Rauner M, Erbschwendtner B, Kaltenböck J. A Bayesian Analysis of Personality Types and Stress Coping Strategies of Austrian Red Cross Paramedics. Z'GuG Zeitschrift für Gemeinwirtschaft und Gemeinwohl. 2026 Sept 3.

Attar A, Ghasemi P, Ozkul S, Okorie O, Zhang L. Adaptive disaster relief logistics under uncertainty: a hybrid robust–fuzzy two‑stage mathematical model with inter‑regional sharing. Journal of the Operational Research Society. 2026 Sept 1.

Scherr N, Reed S, Campbell AM, Thomas BW. Policies for the dynamic same-day delivery problem with walking and parking. Transportation Research Part E: Logistics and Transportation Review . 2026 Aug;212:104898. doi: 10.1016/j.tre.2026.104898

www.scopus.com/pages/publications/105037089820
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