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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Anwar, M. A., Zong, Z., Mendiratta, A., & Yaqub, M. Z. (2024). Antecedents of Big Data Analytics Adoption and its Impact on Decision Quality and Environmental Performance of SMEs in Recycling Sector. Technological Forecasting & Social Change, 205.
Elting, S., Ehmke, J. F., & Gansterer, M. (2024). Collaborative transportation for attended home deliveries. Networks, 84(1), 84-106. https://doi.org/10.1002/net.22216
Alshahrani, M. A., Yaqub, M. Z., & Alabdali, M. A. (2024). Examining the Role of Intellectual Capital in Maturing Sustainable Competitive Advantage through Enkindling Innovations in SMEs: The Moderating Role of Entrepreneurship-Orientation. Journal of Intellectual Capital, 25(2/3).
Saeed, N., Akhtar, N., Attri, R., & Yaqub, M. Z. (2024). How violation of consumers' expectations causes perceived betrayal and related behaviors: Theoretical perspectives from expectancy violation theory. Journal of Retailing and Consumer Services, 81.
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
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