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 260
Ahadzadeh, R., Dehghani, E., & Ghasemi, P. (2026). Towards sustainable closed-loop photovoltaic supply chains: A hybrid framework integrating reinforcement learning and mathematical models. Expert systems with applications, 296(D), Artikel 129182. https://doi.org/10.1016/j.eswa.2025.129182
Raha, A., & Windsperger, J. (2026). Sustainability and Performance in Networks: The Role of Dual Compliance in Franchising. International Entrepreneurship and Management Journal.
Artelt, A., Olsen, M., & Tierney, K. (2025). On the Hardness of Computing Counterfactual and Semi-factual Explanations in XAI. Transactions on Machine Learning Research (TMLR). https://openreview.net/forum?id=aELzBw0q1O
Pajić, M., Gorovaia, N., & Windsperger, J. (2025). Knowledge transfer mechanisms and decentralization of decision rights in interfirm networks: the case of franchising. Small Business Economics, 65(4), 2621-2638. https://doi.org/10.1007/s11187-025-01050-1
Kostyukova, M., Windsperger, J., & Strauss, C. (2025). Platforms’ Social Impact in Times of Disruptions: Cases of Uber and Airbnb During the War in Ukraine. Beitrag in SCIA-2025: 4th International Workshop on Social Communication and Information Activity in Digital Humanities, October 30, 2025, Lviv, Ukraine, Lviv, Ukraine. https://ceur-ws.org/Vol-4107/paper3.pdf
Zeige Ergebnisse 1 - 5 von 260