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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Windsperger, J., & Raha, A. (Hrsg.) (2025). Research handbook on the theory of the firm. Manuskript in Vorbereitung. in Research handbook on the theory of the firm Edward Elgar Publishing.
Shamrooz Aslam, M., Bilal, H., S,band, S., & Ghasemi, P. (2024). Modeling of nonlinear supply chain management with lead-times based on Takagi-Sugeno fuzzy control model. Engineering Applications of Artificial Intelligence, 133, [108131]. https://doi.org/10.1016/j.engappai.2024.108131
Anwar, M. A., Zong, Z., Mendiratta, A., & Yaqub, M. Z. (Angenommen/Im Druck). Antecedents of Big Data Analytics Adoption and its Impact on Decision Quality and Environmental Performance of SMEs in Recycling Sector. Technological Forecasting & Social Change.
Tan, F., Li, X., Agarwal, R., Joshi, Y., & Yaqub, M. Z. (2024). Does Multilingual Packaging Influence Purchasing in Retail Segment? Evidence from Multiple Experiments. Journal of Retailing and Consumer Services.
Aslam, M. S., Qammar, A., Ali, I., Yaqub, M. Z., Ahmad, F., & Mohapatra, A. K. (Angenommen/Im Druck). Fostering Innovation Speed and Quality in ICT Firms: The Role of Knowledge Governance Mechanisms, Absorptive Capacity and Environmental Dynamism. Technological Forecasting & Social Change.
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