Research Interests
Revenue Management and Pricing
Context: Innovative applications in airline, hotel, event industries, and online marketplaces.
Methodology: Causal inference, discrete choice models.
Journal Publications
Yılmaz Ö., Son Y., Shang G. and Arslan H.A. (2024) "Causal inference under selection on observables in Operations Management research: Matching methods and synthetic controls"
Journal of Operations Management, 70(5): 831-859.
Arslan H.A., Tereyağoğlu N. and Yılmaz Ö. (2023)* "Scoring a touchdown with variable pricing: Evidence from a quasi-experiment in the NFL ticket markets"
Management Science, 69(8): 4435-4456 - Featured article
Finalist, Kahle Family Research Excellence Award, 2024.
Finalist, MIT Sloan Sports Analytics Conference Research Paper Poster Competition, 2020.
Yılmaz Ö., Pekgün P., Ferguson M. and Shang G. (2022) "Strategic behavior for hotel standby upgrade programs: Empirical evidence and pricing implications"
Journal of Operations Management, 68(6-7): 675-701.
Arslan H.A., Easley R.F., Wang R. and Yılmaz Ö. (2022)* "Data-driven sports ticket pricing for multiple sales channels with heterogeneous customers"
Manufacturing & Service Operations Management, 24(2): 1241-1260.
Finalist, Kahle Family Research Excellence Award, 2023.
Finalist, 4th POMS Applied Research Challenge, 2020/21.
Yılmaz Ö., Pekgün P. and Ferguson M. (2017) "Would you like to upgrade to a premium room? Evaluating the benefits of offering standby upgrades"
Manufacturing & Service Operations Management, 19(1): 1-18 - Featured article
Yılmaz Ö., Easley R.F. and Ferguson M. (2023) "The future of sports ticketing: Technologies, data, and new strategies"
Journal of Revenue and Pricing Management. 22: 219-230.
Peng Y., Ferguson M. and Yılmaz Ö. (2023) "Airline revenue management around sporting mega-events: An application using data from the Super Bowl XLIX"
Journal of Revenue and Pricing Management. 22: 188-200.
*: Authors are listed alphabetically.
Research Papers
Data-driven pricing for availability-based upgrades under a multiple binary choice model with copula with Farbod Ekbatani, Zifeng Zhao, Ruxian Wang, and Andrew Vakhutinsky.
Minor revision, Manufacturing & Service Operations Management
Finalist, M&SOM Practice-Based Research Competition, 2025
Oracle Labs ERO funding ($90,000)
Consumer choice and assortment optimization under the random threshold multinomial logit model with Zifeng Zhao, Ruxian Wang, and Chenxu Ke.
Reject & Resubmit, Management Science.
Unlocking the benefit of exchangeable tickets: A study of consumer behavior in sports events with H. Alper Arslan, Yao Cui, and Ross Rotwein.
Soon to be submitted.
No more hidden fees: The impact of California's "Honest Pricing Law" on vacation rentals with Serkan Mehder, Maxime Cohen, and Armin Khamoshi.
In progress.
Impact of in-session price increases in the cart on consumer behavior: Evidence from a field experiment in an online marketplace with Domenico Fabrizi, Serkan Mehder, Jiankun Sun, and Zifeng Zhao.
In progress.
Non-Academic Publications
What's dynamic pricing? An operations management scholar explains. (The Conversation, 2022)