Profile
Müge Tekin is an Assistant Professor of Operations Management at the Rotterdam School of Management (RSM), Erasmus University (Netherlands). Before joining RSM, Müge worked at Imperial College Business School (UK) as a postdoctoral researcher. She holds a Ph.D. degree in Operations Management from Universitat Pompeu Fabra (Spain) and a Masters in Industrial Engineering from Koç University (Turkey). Her research interests are at the interface of Operations, Marketing and Economics. Specifically, she is interested in business analytics and competitive intelligence for service firms (e.g. restaurants, hotels). She works on business problems from an operations perspective, using both internal and market/competitor data. She combines this cross-sectional data with models (e.g. machine learning, econometrics) to understand customer behavior and firm operations. Her focus is on practical applications of those frameworks to inform better business decisions.
Publications
Article (1)
Academic (1)
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Tekin, M., & Ozekici, S. (2015). Mean-variance newsvendor model with random supply and financial hedging. IISE Transactions, 47(9), 910-928. https://doi.org/10.1080/0740817X.2014.981322
Doctoral Thesis (1)
Internal (1)
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Tekin, M. (2018). Competitive intelligence analytics for operations managers. [Doctoral Thesis, Pompeu Fabra University]. Universidad Pompeu Fabra.
Paper (1)
Academic (1)
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Talluri, K., & Tekin, M. (2015). Estimating from marginal data. Paper presented at AGIFORS 55th Annual Symposium: Analytics for Efficiency and Customer Centric Optimization, Washington, United States.
Preprint (1)
Academic (1)
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Li, A., Talluri, K., & Tekin, M. (2020). Estimating Demand With Unobserved No-Purchases on Revenue-Managed Data. https://doi.org/10.2139/ssrn.3525773
Working paper (2)
Academic (2)
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Talluri, K., & Tekin, M. (2022). Estimation Using Marginal Competitor Sales Information. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4141270
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Talluri, K., & Tekin, M. (2020). Popularity prediction and optimal location: Application to restaurants. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3583413