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Gustavo Vulcano

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Srikanth Jagabathula & Dmitry Mitrofanov & Gustavo Vulcano, 2024. "Demand Estimation Under Uncertain Consideration Sets," Operations Research, INFORMS, vol. 72(1), pages 19-42, January.

    Cited by:

    1. Benjamin Knight & Dmitry Mitrofanov, 2026. "Disclosing Low Product Availability: An Online Platform’s Strategy for Mitigating Stockout Risk," Management Science, INFORMS, vol. 72(2), pages 1560-1578, February.
    2. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
    3. Wenchang Zhu & Paat Rusmevichientong & Huseyin Topaloglu, 2026. "A Unified Framework to Impose Market Share Constraints for Selected Product Classes: Randomized and Deterministic Assortments Under the Multinomial Logit Model," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 172-192, January.
    4. Yi-Chun Akchen & Felipe Caro, 2026. "On Size Substitution and Its Role in Assortment and Inventory Planning," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 624-642, March.

  2. Gerardo Berbeglia & Agustín Garassino & Gustavo Vulcano, 2022. "A Comparative Empirical Study of Discrete Choice Models in Retail Operations," Management Science, INFORMS, vol. 68(6), pages 4005-4023, June.

    Cited by:

    1. Serhat Dogan & Kemal Yildiz, 2023. "Every Choice Function Is Pro-Con Rationalizable," Operations Research, INFORMS, vol. 71(5), pages 1857-1870, September.
    2. Mohammad Ghaderi, 2026. "Attention-entropy random utility: Endogenous: Attention and context effects in discrete choice," Economics Working Papers 1936, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Ma, Jun & Nault, Barrie R. & Tu, Yiliu (Paul), 2023. "Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Natalia Kosilova & Aydın Alptekinoğlu, 2026. "Discrete Choice via Sequential Search," Management Science, INFORMS, vol. 72(2), pages 1236-1252, February.
    5. Gomez, Yolanda & Rios, Jesus & Rios Insua, David & Vila, Jose, 2025. "Forecasting adversarial actions using judgment decomposition-recomposition," International Journal of Forecasting, Elsevier, vol. 41(1), pages 76-91.
    6. Theja Tulabandhula & Deeksha Sinha & Saketh Reddy Karra & Prasoon Patidar, 2023. "Multi-purchase Behavior: Modeling, Estimation, and Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 25(6), pages 2298-2313, November.
    7. Jiajie Zhang & Yun Hui Lin & Gerardo Berbeglia, 2026. "Approximate Resolution of Stochastic Choice-Based Discrete Planning," INFORMS Journal on Computing, INFORMS, vol. 38(1), pages 232-252, January.
    8. Ningyuan Chen & Ming Hu, 2023. "Frontiers in Service Science: Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions," Service Science, INFORMS, vol. 15(2), pages 79-91, June.
    9. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
    10. Yufeng Cao & Paat Rusmevichientong & Huseyin Topaloglu, 2023. "Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models," Operations Research, INFORMS, vol. 71(2), pages 603-625, March.
    11. Lukas Janinhoff & Robert Klein & Daniel Scholz, 2024. "Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(2), pages 241-294, June.
    12. Crönert, Tobias & Martin, Layla & Minner, Stefan & Tang, Christopher S., 2024. "Inverse optimization of integer programming games for parameter estimation arising from competitive retail location selection," European Journal of Operational Research, Elsevier, vol. 312(3), pages 938-953.
    13. Richards, Timothy, 2025. "Market Concentration and Resilience in Agricultural Supply Chains," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 361139, Agricultural and Applied Economics Association.
    14. Yuyang Tan & Hao Gong & Chunxiang Guo, 2025. "Bi-Objective Optimization of Product Selection and Ranking Considering Sequential Search," SAGE Open, , vol. 15(3), pages 21582440251, August.
    15. Shukai Li & Qi Luo & Zhiyuan Huang & Cong Shi, 2025. "Online Learning for Constrained Assortment Optimization Under Markov Chain Choice Model," Operations Research, INFORMS, vol. 73(1), pages 109-138, January.
    16. Mohammad Ghaderi, 2026. "Attention-Entropy Random Utility: Endogenous Attention and Context Effects in Discrete Choice," Working Papers 1552, Barcelona School of Economics.
    17. Warley Almeida Silva & Margarida Carvalho & Sanjay Dominik Jena, 2026. "Dynamic Facility Location Under Cumulative Customer Demand," Transportation Science, INFORMS, vol. 60(1), pages 46-63, January.
    18. Andrea Guizzardi & Luca Vincenzo Ballestra & Enzo D’Innocenzo, 2024. "Reverse engineering the last-minute on-line pricing practices: an application to hotels," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(3), pages 943-971, July.

  3. Srikanth Jagabathula & Dmitry Mitrofanov & Gustavo Vulcano, 2022. "Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences," Operations Research, INFORMS, vol. 70(2), pages 641-665, March.

    Cited by:

    1. Fransisca Susan & Negin Golrezaei & Ehsan Emamjomeh-Zadeh & David Kempe, 2026. "Technical Note—Active Learning for Nonparametric Choice Models," Operations Research, INFORMS, vol. 74(2), pages 730-751, March.
    2. Benjamin Knight & Dmitry Mitrofanov, 2026. "Disclosing Low Product Availability: An Online Platform’s Strategy for Mitigating Stockout Risk," Management Science, INFORMS, vol. 72(2), pages 1560-1578, February.
    3. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
    4. Wang, Yan & Xing, Wei & Zhao, Xuan & Zhou, Yongsheng, 2026. "Targeted vs. universal: Optimal strategies for multi-unit purchase coupons," Journal of Retailing and Consumer Services, Elsevier, vol. 88(C).
    5. Omar El Housni & Huseyin Topaloglu, 2023. "Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments," Operations Research, INFORMS, vol. 71(4), pages 1197-1215, July.

  4. Fabricio Previgliano & Gustavo Vulcano, 2022. "Managing Uncertain Capacities for Network Revenue Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 1202-1219, March.

    Cited by:

    1. Du, Chengyu & He, Fang & Lin, Xi, 2025. "Dynamic pricing for air cargo revenue management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    2. Srinivasan, Dhandabani & Amit, R.K. & Malik, Atul Kumar & Goh, Shao Hung, 2026. "Approximate dynamic programming-based thresholds for cargo capacity management considering postponements," Omega, Elsevier, vol. 138(C).
    3. Chen, Linlin & Han, Shuihua, 2025. "Sustainable airline operations: A season-based optimization framework for flight scheduling and aircraft assignment," Energy, Elsevier, vol. 340(C).

  5. Tarek Abdallah & Gustavo Vulcano, 2021. "Demand Estimation Under the Multinomial Logit Model from Sales Transaction Data," Manufacturing & Service Operations Management, INFORMS, vol. 23(5), pages 1196-1216, September.

    Cited by:

    1. Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2023. "Demand estimation with infrequent purchases and small market sizes," Quantitative Economics, Econometric Society, vol. 14(4), pages 1251-1294, November.
    2. Ningyuan Chen & Ming Hu, 2023. "Frontiers in Service Science: Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions," Service Science, INFORMS, vol. 15(2), pages 79-91, June.
    3. Chiwei Yan & Cynthia Barnhart & Vikrant Vaze, 2022. "Choice-Based Airline Schedule Design and Fleet Assignment: A Decomposition Approach," Transportation Science, INFORMS, vol. 56(6), pages 1410-1431, November.
    4. Wang, Ping & An, Qingxian & Liang, Liang, 2025. "Consumer preference estimation based on intertemporal choice data: A chance constrained data envelopment analysis method," European Journal of Operational Research, Elsevier, vol. 325(3), pages 487-499.
    5. Anran Li & Kalyan Talluri & Müge Tekin, 2025. "Estimating Demand with Unobserved No-Purchases on Revenue-Managed Data," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 161-180, January.
    6. Sanghoon Cho & Mark Ferguson & Pelin Pekgün & Andrew Vakhutinsky, 2023. "Estimating Personalized Demand with Unobserved No-Purchases Using a Mixture Model: An Application in the Hotel Industry," Manufacturing & Service Operations Management, INFORMS, vol. 25(4), pages 1245-1262, July.
    7. Hoang Giang Pham & Tien Mai, 2025. "Constrained Assortment and Price Optimization under Generalized Nested Logit Models," Papers 2601.04220, arXiv.org.

  6. Garrett van Ryzin & Gustavo Vulcano, 2017. "Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand," Operations Research, INFORMS, vol. 65(2), pages 396-407, April.

    Cited by:

    1. Fransisca Susan & Negin Golrezaei & Ehsan Emamjomeh-Zadeh & David Kempe, 2026. "Technical Note—Active Learning for Nonparametric Choice Models," Operations Research, INFORMS, vol. 74(2), pages 730-751, March.
    2. Alice Paul & Jacob Feldman & James Mario Davis, 2018. "Assortment Optimization and Pricing Under a Nonparametric Tree Choice Model," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 550-565, July.
    3. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    4. Yi-Chun Akchen & Dmitry Mitrofanov, 2023. "Consider or Choose? The Role and Power of Consideration Sets," Papers 2302.04354, arXiv.org, revised Feb 2025.
    5. Gerardo Berbeglia & Agustín Garassino & Gustavo Vulcano, 2022. "A Comparative Empirical Study of Discrete Choice Models in Retail Operations," Management Science, INFORMS, vol. 68(6), pages 4005-4023, June.
    6. Flores, Alvaro & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2019. "Assortment optimization under the Sequential Multinomial Logit Model," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1052-1064.
    7. Ningyuan Chen & Guillermo Gallego & Zhuodong Tang, 2019. "The Use of Binary Choice Forests to Model and Estimate Discrete Choices," Papers 1908.01109, arXiv.org, revised Oct 2025.
    8. Daniel Guhl & Friederike Paetz & Udo Wagner & Michel Wedel, 2024. "Predicting and optimizing marketing performance in dynamic markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(1), pages 1-27, March.
    9. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2020. "Discovering customer types using sales transactions and product availability data of 5 hotel datasets with genetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 386-400, December.
    10. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2022. "A customer type discovery algorithm in hotel revenue management systems," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 200-211, April.
    11. Hamed Sherafat Moula & S. Hadi Yaghoubyan & Razieh Malekhosseini & Karamollah Bagherifard, 2023. "Customer type discovery in hotel revenue management by Memetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(6), pages 470-481, December.
    12. Xiang Zhao & Xinghua Shan & Jinfei Wu, 2023. "The Impact of Seat Resource Fragmentation on Railway Network Revenue Management," Networks and Spatial Economics, Springer, vol. 23(1), pages 135-177, March.
    13. Qi Feng & J. George Shanthikumar, 2022. "Developing operations management data analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4544-4557, December.
    14. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
    15. Barbier, Thibault & Anjos, Miguel F. & Cirinei, Fabien & Savard, Gilles, 2020. "Product-closing approximation for ranking-based choice network revenue management," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1002-1017.
    16. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    17. Doust, Negin Ahmadi Saber & van Esch, Patrick & Kemper, Joya & Franklin, Drew & Casserly, Shane, 2021. "Marketing the use of headgear in high contact sports," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    18. Bradley Sturt, 2025. "The Value of Robust Assortment Optimization Under Ranking-Based Choice Models," Management Science, INFORMS, vol. 71(5), pages 4246-4265, May.

  7. Ilan Lobel & Jigar Patel & Gustavo Vulcano & Jiawei Zhang, 2016. "Optimizing Product Launches in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 62(6), pages 1778-1799, June.

    Cited by:

    1. Ungureanu, Olga & van Oest, Rutger & Schauerte, Nico, 2025. "Add on or move on: Do in-game purchases help or hurt upgrading to newer game versions?," International Journal of Research in Marketing, Elsevier, vol. 42(4), pages 1105-1124.
    2. Liang Chen & Pengxiang Zhang & Sali Li & Scott F. Turner, 2022. "Growing pains: The effect of generational product innovation on mobile games performance," Strategic Management Journal, Wiley Blackwell, vol. 43(4), pages 792-821, April.
    3. Hao, Zhaowei & Qi, Wei & Gong, Tianxiao & Chen, Lihua & Shen, Zuo-Jun Max, 2019. "Innovation uncertainty, new product press timing and strategic consumers," Omega, Elsevier, vol. 89(C), pages 122-135.
    4. Ling Zhao & Anquan Zou & Minghua Xiong & Jun Liu, 2023. "Supply Chain Performance with a Downside-Risk-Averse Retailer and Strategic Customers," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    5. Xinmin Liu & Kangkang Lin & Lei Wang & Lili Ding, 2020. "Pricing Decisions for a Sustainable Supply Chain in the Presence of Potential Strategic Customers," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    6. Cui Zhao & Xiaojun Wang & Yongbo Xiao & Jie Sheng, 2022. "Effects of online reviews and competition on quality and pricing strategies," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3840-3858, October.
    7. Sreekumar Bhaskaran & S. Sinan Erzurumlu & Karthik Ramachandran, 2021. "Sequential Product Development and Introduction by Cash-Constrained Start-Ups," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1505-1523, November.
    8. Liu, Jingchen & Zhai, Xin & Chen, Lihua, 2018. "The interaction between product rollover strategy and pricing scheme," International Journal of Production Economics, Elsevier, vol. 201(C), pages 116-135.
    9. Takeshi Ebina & Noriaki Matsushima & Katsumasa Nishide, 2017. "Demand uncertainty, product differentiation, and entry timing under spatial competition," ISER Discussion Paper 1007r, Institute of Social and Economic Research, The University of Osaka, revised Jul 2018.
    10. John R. Birge & Rodney P. Parker & Michelle Xiao Wu & S. Alex Yang, 2017. "When Customers Anticipate Liquidation Sales: Managing Operations Under Financial Distress," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 657-673, October.
    11. Demirci, Ece Zeliha & Erkip, Nesim, 2024. "Integrating efforts for product development and market penetration," European Journal of Operational Research, Elsevier, vol. 312(3), pages 927-937.
    12. Kostas Bimpikis & Ilan Morgenstern & Daniela Saban, 2024. "Data Tracking Under Competition," Operations Research, INFORMS, vol. 72(2), pages 514-532, March.
    13. Ersin K�rpeoglu & C. Gizem Korpeoglu & Isa Hafalir, 2020. "Parallel Innovation Contests," Working Paper Series 2020/06, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    14. Hagspiel, Verena & Huisman, Kuno J.M. & Kort, Peter M. & Lavrutich, Maria N. & Nunes, Cláudia & Pimentel, Rita, 2020. "Technology adoption in a declining market," European Journal of Operational Research, Elsevier, vol. 285(1), pages 380-392.
    15. Bo Tan & Zhiguo Zhu & Pan Jiang & Xiening Wang, 2023. "Modeling Multi-Generation Product Diffusion in the Context of Dual-Brand Competition and Sustainable Improvement," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    16. Lin Chen & Guillaume Roels, 2024. "Fast or Slow? Competing on Publication Frequency," Manufacturing & Service Operations Management, INFORMS, vol. 26(2), pages 431-446, March.
    17. Jalili, Monire & Pangburn, Michael S. & Stavrulaki, Euthemia & Xu, Shubin, 2025. "Sequential product launches with post-sale updates," European Journal of Operational Research, Elsevier, vol. 324(2), pages 538-554.
    18. Onesun Steve Yoo & Tingliang Huang & Kenan Arifoğlu, 2021. "A Theoretical Analysis of the Lean Start-up Method," Marketing Science, INFORMS, vol. 40(3), pages 395-412, May.
    19. Ashish Sood & V. Kumar & Shaphali Gupta, 2023. "Modeling the antecedents of multi-generational services adoption behavior of clients across countries: The role of mindset metrics," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(9), pages 1661-1686, December.
    20. Fuqiang Zhang & Renyu Zhang, 2018. "Trade-in Remanufacturing, Customer Purchasing Behavior, and Government Policy," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 601-616, October.
    21. Chaab, Jafar & Zaccour, Georges, 2024. "Dynamic pricing in the presence of social externalities and reference-price effect," Omega, Elsevier, vol. 122(C).
    22. Mingliang Li & Yanrong Li & Lai Wei & Wei Jiang & Zuo-Jun Max Shen, 2025. "How to Promote Autonomous Driving with Evolving Technology: Business Strategy and Pricing Decision," Papers 2503.17174, arXiv.org.
    23. He, Peng & He, Yong & Zhou, Li, 2023. "Channel strategies for dual-channel firms to counter strategic consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    24. Ian A. Kash & Peter B. Key & Spyros I. Zoumpoulis, 2023. "Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services," Operations Research, INFORMS, vol. 71(2), pages 665-687, March.
    25. Torsten Bornemann & Cornelia Hattula & Stefan Hattula, 2020. "Successive product generations: financial implications of industry release rhythm alignment," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1174-1191, November.
    26. Jan F. Killmer, 2023. "Who leaps first: Status quo of the leapfrogging phenomenon," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(7), pages 4027-4040, October.
    27. Ersin Körpeoğlu & C. Gizem Korpeoglu & İsa Emin Hafalır, 2022. "Parallel Innovation Contests," Operations Research, INFORMS, vol. 70(3), pages 1506-1530, May.
    28. Zhengli Wang & Stefanos Zenios, 2022. "New Venture Creation: A Drift-Variance Diffusion Control Model," Operations Research, INFORMS, vol. 70(5), pages 2982-2997, September.
    29. Yun Ran & Yun Zeng & Yucheng Dong & Stuart X. Zhu & Meng Wu, 2024. "Optimizing pricing and ordering strategies for new products in the presence of consumers with pre-purchase beliefs," Annals of Operations Research, Springer, vol. 337(1), pages 313-342, June.
    30. Danyang Xu & Jiancai Wang & Wenhui Zhao & Xiang Zhang, 2025. "Pricing policies for green energy-saving product adoption and government subsidy," Annals of Operations Research, Springer, vol. 355(2), pages 2093-2123, December.
    31. Liu, Jingchen & Zhai, Xin & Chen, Lihua, 2019. "Optimal pricing strategy under trade-in program in the presence of strategic consumers," Omega, Elsevier, vol. 84(C), pages 1-17.
    32. Yongbo Xiao & Liming Wang & Jian Chen, 2020. "Dynamic pricing in a trade‐in program with replacement and new customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 334-352, August.
    33. Huang, Lingchen & Huang, Zongsheng & Liu, Bin, 2022. "Interacting with strategic waiting for store brand: Online selling format selection," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    34. Jalali, Hamed & Menezes, Mozart B.C., 2024. "Product portfolio adjustments and the bullwhip effect: The impact of product introduction and retirement," European Journal of Operational Research, Elsevier, vol. 318(1), pages 87-99.
    35. Fernando Bernstein & Victor Martínez-de-Albéniz, 2017. "Dynamic Product Rotation in the Presence of Strategic Customers," Management Science, INFORMS, vol. 63(7), pages 2092-2107, July.

  8. Garrett van Ryzin & Gustavo Vulcano, 2015. "A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models," Management Science, INFORMS, vol. 61(2), pages 281-300, February.

    Cited by:

    1. Fransisca Susan & Negin Golrezaei & Ehsan Emamjomeh-Zadeh & David Kempe, 2026. "Technical Note—Active Learning for Nonparametric Choice Models," Operations Research, INFORMS, vol. 74(2), pages 730-751, March.
    2. Alice Paul & Jacob Feldman & James Mario Davis, 2018. "Assortment Optimization and Pricing Under a Nonparametric Tree Choice Model," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 550-565, July.
    3. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    4. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2021. "On the estimation of discrete choice models to capture irrational customer behaviors," Papers 2109.03882, arXiv.org.
    5. Ningyuan Chen & Andre A. Cire & Ming Hu & Saman Lagzi, 2023. "Model-Free Assortment Pricing with Transaction Data," Management Science, INFORMS, vol. 69(10), pages 5830-5847, October.
    6. Gerardo Berbeglia & Agustín Garassino & Gustavo Vulcano, 2022. "A Comparative Empirical Study of Discrete Choice Models in Retail Operations," Management Science, INFORMS, vol. 68(6), pages 4005-4023, June.
    7. Jacob Feldman & Alice Paul & Huseyin Topaloglu, 2019. "Technical Note—Assortment Optimization with Small Consideration Sets," Operations Research, INFORMS, vol. 67(5), pages 1283-1299, September.
    8. Flores, Alvaro & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2019. "Assortment optimization under the Sequential Multinomial Logit Model," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1052-1064.
    9. Georgia Perakis & Charles Thraves, 2022. "On a Variation of Two-Part Tariff Pricing of Services: A Data-Driven Approach," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1369-1387, May.
    10. Amin Eskandari & Koorush Ziarati & Alireza Nikseresht, 2025. "Bi-objective assortment optimization under a ranking-based choice model: formulation and solution approach using NSGA-II," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 568-583, December.
    11. Amirnequiee, Shobeir & Naoum-Sawaya, Joe & Pun, Hubert, 2026. "Robust framework for the joint learning of consumer preferences and market segmentation," Omega, Elsevier, vol. 138(C).
    12. Bas Donkers & Mohammad Ghaderi & Kamel Jedidi & Miłosz Kadziński, 2025. "Random Preference Model," Working Papers 1502, Barcelona School of Economics.
    13. Xiyuan Ren & Joseph Y. J. Chow & Prateek Bansal, 2023. "Nonparametric mixed logit model with market-level parameters estimated from market share data," Papers 2309.13159, arXiv.org, revised Apr 2025.
    14. Zhang, Bo & Hassini, Elkafi & Zhou, Yun & Zhao, Meng & Hu, Xiangpei, 2025. "Integrated differentiated time slot pricing and order dispatching with uncertain customer demand in on-demand food delivery," European Journal of Operational Research, Elsevier, vol. 323(2), pages 471-489.
    15. Ruxian Wang, 2021. "Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation," Operations Research, INFORMS, vol. 69(4), pages 1044-1056, July.
    16. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    17. Nam Ho-Nguyen & Fatma Kılınç-Karzan, 2021. "Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models," Operations Research, INFORMS, vol. 69(4), pages 1228-1239, July.
    18. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2022. "On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1606-1625, May.
    19. Ningyuan Chen & Ming Hu, 2023. "Frontiers in Service Science: Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions," Service Science, INFORMS, vol. 15(2), pages 79-91, June.
    20. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
    21. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2020. "Discovering customer types using sales transactions and product availability data of 5 hotel datasets with genetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 386-400, December.
    22. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2022. "A customer type discovery algorithm in hotel revenue management systems," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 200-211, April.
    23. Sebastian Vock & Laurie A. Garrow & Catherine Cleophas, 2022. "Clustering as an approach for creating data-driven perspectives on air travel itineraries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 212-227, April.
    24. Hamed Sherafat Moula & S. Hadi Yaghoubyan & Razieh Malekhosseini & Karamollah Bagherifard, 2023. "Customer type discovery in hotel revenue management by Memetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(6), pages 470-481, December.
    25. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
    26. Zhengchao Wang & Heikki Peura & Wolfram Wiesemann, 2024. "Randomized Assortment Optimization," Operations Research, INFORMS, vol. 72(5), pages 2042-2060, September.
    27. Hamed Sherafat Moula & S. Hadi Yaghoubyan & Razieh Malekhosseini & Karamollah Bagherifard, 2024. "Customer type discovery in hotel revenue management: a data mining approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(3), pages 238-248, June.
    28. Joonkyum Lee & Vishal Gaur & Suresh Muthulingam & Gary F. Swisher, 2016. "Stockout-Based Substitution and Inventory Planning in Textbook Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 104-121, February.
    29. Johannes F. Jörg & Catherine Cleophas, 2022. "Nonparametric estimation of customer segments from censored sales panel data," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 393-417, August.
    30. Garrett van Ryzin & Gustavo Vulcano, 2017. "Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand," Operations Research, INFORMS, vol. 65(2), pages 396-407, April.
    31. Yi-Chun Akchen & Velibor V. Mišić, 2025. "Column-Randomized Linear Programs: Performance Guarantees and Applications," Operations Research, INFORMS, vol. 73(3), pages 1366-1383, May.
    32. Philipp Bartke & Natalia Kliewer & Catherine Cleophas, 2018. "Benchmarking filter-based demand estimates for airline revenue management," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(1), pages 57-88, March.
    33. Dohyun Ahn & Dongwook Shin & Assaf Zeevi, 2025. "Feature Misspecification in Sequential Learning Problems," Management Science, INFORMS, vol. 71(5), pages 4066-4086, May.
    34. Mohammad Ghaderi & Kamel Jedidi & Miłosz Kadziński & Bas Donkers, 2025. "Random preference model," Economics Working Papers 1913, Department of Economics and Business, Universitat Pompeu Fabra.
    35. Yi-Chun Akchen & Felipe Caro, 2026. "On Size Substitution and Its Role in Assortment and Inventory Planning," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 624-642, March.
    36. Qi Feng & J. George Shanthikumar, 2022. "Developing operations management data analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4544-4557, December.
    37. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
    38. Barbier, Thibault & Anjos, Miguel F. & Cirinei, Fabien & Savard, Gilles, 2020. "Product-closing approximation for ranking-based choice network revenue management," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1002-1017.
    39. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    40. Bradley Sturt, 2025. "The Value of Robust Assortment Optimization Under Ranking-Based Choice Models," Management Science, INFORMS, vol. 71(5), pages 4246-4265, May.
    41. Warley Almeida Silva & Margarida Carvalho & Sanjay Dominik Jena, 2026. "Dynamic Facility Location Under Cumulative Customer Demand," Transportation Science, INFORMS, vol. 60(1), pages 46-63, January.

  9. Xing Hu & René Caldentey & Gustavo Vulcano, 2013. "Revenue Sharing in Airline Alliances," Management Science, INFORMS, vol. 59(5), pages 1177-1195, May.

    Cited by:

    1. Alderighi, Marco & Gaggero, Alberto A. & Piga, Claudio A., 2015. "The effect of code-share agreements on the temporal profile of airline fares," Transportation Research Part A: Policy and Practice, Elsevier, vol. 79(C), pages 42-54.
    2. Li, Tingting & Xie, Jinxing & Lu, Shengmin & Tang, Jiafu, 2016. "Duopoly game of callable products in airline revenue management," European Journal of Operational Research, Elsevier, vol. 254(3), pages 925-934.
    3. Shoshana Anily, 2018. "Full characterization of the nonnegative core of some cooperative games," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(4), pages 303-316, June.
    4. Wen, Xin & Sun, Xuting & Sun, Yige & Yue, Xiaohang, 2021. "Airline crew scheduling: Models and algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Derui Wang & Xiaole Wu & Christopher S. Tang & Yue Dai, 2025. "Endogenous Merger Decisions Among Competitors: Impact of Limited Capacity and Loyal Segments," Management Science, INFORMS, vol. 71(6), pages 4777-4794, June.
    6. Kostas Bimpikis & Shayan Ehsani & Rahmi İlkılıç, 2019. "Cournot Competition in Networked Markets," Management Science, INFORMS, vol. 67(6), pages 2467-2481, June.
    7. Zhou, Weihua & Pu, Yaqi & Dai, Hongyan & Jin, Qingwei, 2017. "Cooperative interconnection settlement among ISPs through NAP," European Journal of Operational Research, Elsevier, vol. 256(3), pages 991-1003.
    8. Xing Hu & René Caldentey, 2023. "Trust and Reciprocity in Firms’ Capacity Sharing," Manufacturing & Service Operations Management, INFORMS, vol. 25(4), pages 1436-1450, July.
    9. Casanueva, Cristóbal & Gallego, Ángeles & Castro, Ignacio & Sancho, María, 2014. "Airline alliances: Mobilizing network resources," Tourism Management, Elsevier, vol. 44(C), pages 88-98.
    10. Fang, Debin & Wang, Jiancheng, 2020. "Horizontal capacity sharing between asymmetric competitors," Omega, Elsevier, vol. 97(C).
    11. Gustavo Berganti~nos & Leticia Lorenzo, 2025. "Applying an axiomatic approach to revenue allocation in airlines problems," Papers 2512.10418, arXiv.org.
    12. Zhong, Yuanguang & Liu, Ju & Zhou, Yong-Wu & Cao, Bin & Cheng, T.C. Edwin, 2022. "Robust contract design and coordination under consignment contracts with revenue sharing," International Journal of Production Economics, Elsevier, vol. 253(C).
    13. Gerlach, Max & Kliewer, Natalia & Cleophas, Catherine, 2016. "A note on effective code-share management in practice," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 202-205.
    14. Zhang, Li-Hao & Liu, Chunxiao & Zhang, Cheng & Wang, Shanshan, 2023. "Upstream encroachment and downstream outsourcing in competing shipping supply chains," International Journal of Production Economics, Elsevier, vol. 255(C).
    15. Mehmet Onur Olgun, 2022. "Collaborative airline revenue sharing game with grey demand data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 861-882, September.
    16. Retsef Levi & Georgia Perakis & Cong Shi & Wei Sun, 2020. "Strategic Capacity Planning Problems in Revenue‐Sharing Joint Ventures," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 664-687, March.
    17. So Yeon Chun & Anton J. Kleywegt & Alexander Shapiro, 2017. "When Friends Become Competitors: The Design of Resource Exchange Alliances," Management Science, INFORMS, vol. 63(7), pages 2127-2145, July.
    18. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    19. Guajardo, Mario & Rönnqvist, Mikael, 2015. "Operations research models for coalition structure in collaborative logistics," European Journal of Operational Research, Elsevier, vol. 240(1), pages 147-159.
    20. Milind Dawande & Sameer Mehta & Liying Mu, 2023. "Robin Hood to the Rescue: Sustainable Revenue‐Allocation Schemes for Data Cooperatives," Production and Operations Management, Production and Operations Management Society, vol. 32(8), pages 2560-2577, August.
    21. Yuhong He & Shuya Yin, 2015. "Joint Selling of Complementary Components Under Brand and Retail Competition," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 470-479, October.
    22. Li, Dan & Eden, Lorraine & Josefy, Matthew, 2017. "Agent and Task Complexity in Multilateral Alliances: The Safeguarding Role of Equity Governance," Journal of International Management, Elsevier, vol. 23(3), pages 227-241.
    23. Tan, Zhijia & Yang, Hai & Tan, Wei & Li, Zhichun, 2016. "Pareto-improving transportation network design and ownership regimes," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 292-309.
    24. Liao, Chen-Nan & Chen, Ying-Ju, 2019. "Role of exchangeable tickets in the optimal menu design for airline tickets," Omega, Elsevier, vol. 89(C), pages 151-163.
    25. Xigang Yuan & Wenwen Sheng & Min Wang & Dalin Zhang, 2023. "Logistics Service Selection Strategy of Green Manufacturers in Green Low-Carbon Supply Chain," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    26. Grauberger, Waldemar & Kimms, Alf, 2016. "Revenue management under horizontal and vertical competition within airline alliances," Omega, Elsevier, vol. 59(PB), pages 228-237.
    27. Zhuo, Xiaopo & Wang, Fan & Niu, Baozhuang, 2021. "Brand-owners’ vertical and horizontal alliance strategies facing dominant retailers: Effect of demand substitutability and complementarity," Omega, Elsevier, vol. 103(C).
    28. Pisciella, Paolo & Gaivoronski, Alexei A., 2024. "Modeling collaborative data service provision around an open source platform under uncertainty with stochastic provision games," Omega, Elsevier, vol. 129(C).
    29. Cui, Qiang, 2019. "The online pricing strategy of low-cost carriers when carbon tax and competition are considered," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 420-432.
    30. Khooban, Zohreh & Mutlu, Nevin & Kok, Ton de, 2025. "Logistics service sharing in cross-border e-commerce," International Journal of Production Economics, Elsevier, vol. 279(C).
    31. Ding, Xiaoshu & Jian, Sisi, 2025. "Joint resource exchange and pricing for intercity multimodal transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 194(C).
    32. Algaba, Encarnación & Fragnelli, Vito & Llorca, Natividad & Sánchez-Soriano, Joaquin, 2019. "Horizontal cooperation in a multimodal public transport system: The profit allocation problem," European Journal of Operational Research, Elsevier, vol. 275(2), pages 659-665.
    33. Wang, Junjin & Liu, Jiaguo & Zhang, Xin, 2020. "Service purchasing and market-entry problems in a shipping supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    34. Alderighi, Marco & Gaggero, Alberto A., 2018. "Flight cancellations and airline alliances: Empirical evidence from Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 90-101.
    35. Ding, Chengjin & Chen, Xinyuan & Wu, Weiwei & Wei, Wenbin & Xin, Zelin, 2023. "Game-theoretic analysis of the impact of crew overnight hotel cost on airlines’ fleet assignment and crew pairing," Journal of Air Transport Management, Elsevier, vol. 113(C).
    36. Qin, Xuelian & Liu, Zhixue & Tian, Lin, 2020. "The strategic analysis of logistics service sharing in an e-commerce platform," Omega, Elsevier, vol. 92(C).
    37. Xiaoquan Gao & Jianpei Wen & Jie Song, 2020. "Capacity allocation and revenue sharing in healthcare alliances," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 829-851, December.
    38. Czerny, Achim I. & van den Berg, Vincent A.C. & Verhoef, Erik T., 2016. "Carrier collaboration with endogenous fleets and load factors when networks are complementary," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 285-297.
    39. Wang, Fan & Zhuo, Xiaopo & Niu, Baozhuang, 2017. "Strategic entry to regional air cargo market under joint competition of demand and promised delivery time," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 317-336.
    40. Chen, Yenming J. & Chen, Tsung-Hui, 2019. "Fair sharing and eco-efficiency in green responsibility and green marketing policy," International Journal of Production Economics, Elsevier, vol. 217(C), pages 232-245.
    41. Jens Gudmundsson & Jens Leth Hougaard & Trine Tornøe Platz, 2020. "Decentralized Task Coordination," IFRO Working Paper 2020/11, University of Copenhagen, Department of Food and Resource Economics.
    42. Vinay Ramani & Felix Papier, 2025. "Collaboration Between an Airline and Railways to Reduce the Cancellation-Risk of Waitlisted Passengers and Improve Seat Utilization," Service Science, INFORMS, vol. 17(2-3), pages 92-110, June.
    43. Luo, Chunlin & Zhou, Xiaoyang & Lev, Benjamin, 2022. "Core, shapley value, nucleolus and nash bargaining solution: A Survey of recent developments and applications in operations management," Omega, Elsevier, vol. 110(C).
    44. Ouardighi, Fouad El & Sim, Jeong Eun & Kim, Bowon, 2016. "Pollution accumulation and abatement policy in a supply chain," European Journal of Operational Research, Elsevier, vol. 248(3), pages 982-996.
    45. Kayla Cummings & Vikrant Vaze & Özlem Ergun & Cynthia Barnhart, 2025. "Multimodal Transportation Pricing Alliance Design: Large-Scale Optimization for Rapid Gains," Transportation Science, INFORMS, vol. 59(3), pages 451-472, June.
    46. Yea, Minyoung & Kim, Daeki & Cheong, Taesu & Moon, Joon & Kang, Sungho, 2022. "Baking and slicing the pie: An application to the airline alliance's profit-sharing based on cooperative game theory," Journal of Air Transport Management, Elsevier, vol. 102(C).
    47. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    48. Max Gerlach & Catherine Cleophas & Natalia Kliewer, 2013. "Airline Codeshare Alliances," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 153-163, June.
    49. Li, Xiaonan & Li, Xiangyong & Shi, Junxin, 2024. "Capacity sharing for ride-sourcing platforms under competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    50. Juanjuan Qin & Kun Wang & Ziping Wang & Liangjie Xia, 2020. "Revenue sharing contracts for horizontal capacity sharing under competition," Annals of Operations Research, Springer, vol. 291(1), pages 731-760, August.
    51. Xiaoxi Zhu & Changhui Yang & Kai Liu & Rui Zhang & Qingquan Jiang, 2022. "Cooperation and decision making in a two-sided market motivated by the externality of a third-party social media platform," Annals of Operations Research, Springer, vol. 316(1), pages 117-142, September.
    52. Wang, Xinyu & Sethi, Suresh P. & Chang, Shuhua, 2022. "Pollution abatement using cap-and-trade in a dynamic supply chain and its coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    53. Achim I. Czerny & Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Complementary Alliances with Endogenous Fleets and Load Factors," Tinbergen Institute Discussion Papers 15-134/VIII, Tinbergen Institute.
    54. David Gaddis Ross, 2018. "Using cooperative game theory to contribute to strategy research," Strategic Management Journal, Wiley Blackwell, vol. 39(11), pages 2859-2876, November.
    55. Hong Guo & Yipeng Liu & Barrie R. Nault, 2024. "Join Up or Stay Away? Coalition Formation for Critical IT Infrastructure," Information Systems Research, INFORMS, vol. 35(3), pages 1344-1362, September.
    56. Dominik Boniecki & Elzbieta Marciszewska, 2021. "Non-Cooperative Game Theory in Measuring Strategic Interactions between Airline Joint-Venture Alliances," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 152-164.
    57. Niu, Baozhuang & Dai, Zhipeng & Zhuo, Xiaopo, 2019. "Co-opetition effect of promised-delivery-time sensitive demand on air cargo carriers’ big data investment and demand signal sharing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 29-44.
    58. Sang, Jinyan & Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2019. "Design of build-operate-transfer contract for integrated rail and property development with uncertainty in future urban population," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 36-66.
    59. Xin Geng & Harish Krishnan & Milind G. Sohoni, 2022. "Operational collaboration between rivals: The impact of cost reduction," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1856-1871, April.
    60. Chun, So Yeon & Kleywegt, Anton & Shapiro, Alexander, 2013. "Resource Exchange Seller Alliances," MPRA Paper 49759, University Library of Munich, Germany.

  10. Gustavo Vulcano & Garrett van Ryzin & Richard Ratliff, 2012. "Estimating Primary Demand for Substitutable Products from Sales Transaction Data," Operations Research, INFORMS, vol. 60(2), pages 313-334, April.

    Cited by:

    1. Pin Gao & Yuhang Ma & Ningyuan Chen & Guillermo Gallego & Anran Li & Paat Rusmevichientong & Huseyin Topaloglu, 2021. "Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection," Operations Research, INFORMS, vol. 69(5), pages 1509-1532, September.
    2. Guillermo Gallego & Richard Ratliff & Sergey Shebalov, 2015. "A General Attraction Model and Sales-Based Linear Program for Network Revenue Management Under Customer Choice," Operations Research, INFORMS, vol. 63(1), pages 212-232, February.
    3. Xinan Yang & Arne K. Strauss & Christine S. M. Currie & Richard Eglese, 2016. "Choice-Based Demand Management and Vehicle Routing in E-Fulfillment," Transportation Science, INFORMS, vol. 50(2), pages 473-488, May.
    4. Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2023. "Demand estimation with infrequent purchases and small market sizes," Quantitative Economics, Econometric Society, vol. 14(4), pages 1251-1294, November.
    5. Chenxu Ke & Ruxian Wang, 2022. "Cross-Category Retailing Management: Substitution and Complementarity," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 1128-1145, March.
    6. Alina Ozhegova & Evgeniy M. Ozhegov, 2018. "Heterogeneity in demand for performances and seats in the theatre," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 131-145, June.
    7. Norbert Remenyi & Xiaodong Luo, 2021. "Demand estimation from sales transaction data: practical extensions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 276-300, June.
    8. Hongzhang Shao & Anton J. Kleywegt, 2020. "Joint Estimation of Discrete Choice Model and Arrival Rate with Unobserved Stock-out Events," Papers 2003.02313, arXiv.org.
    9. Ding, Xiaohui & Chen, Caihua & Li, Chongshou & Lim, Andrew, 2021. "Product demand estimation for vending machines using video surveillance data: A group-lasso method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    10. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián & Santos, Bruno F., 2022. "CHAIRS: A choice-based air transport simulator applied to airline competition and revenue management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 297-315.
    11. Georgia Perakis & Charles Thraves, 2022. "On a Variation of Two-Part Tariff Pricing of Services: A Data-Driven Approach," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1369-1387, May.
    12. Vidya Mani & Douglas J. Thomas & Saurabh Bansal, 2022. "Estimating Substitution and Basket Effects in Retail Stores: Implications for Assortment Planning," Management Science, INFORMS, vol. 68(7), pages 5002-5024, July.
    13. Yuan, Jiawei & Gao, Yuan & Ke, Jiannan & Yang, Lin, 2025. "Integrated train timetable with supply–demand interactions at the Chinese high-speed railway," Omega, Elsevier, vol. 131(C).
    14. Wan, Mingchao & Huang, Yihui & Zhao, Lei & Deng, Tianhu & Fransoo, Jan C., 2018. "Demand estimation under multi-store multi-product substitution in high density traditional retail," European Journal of Operational Research, Elsevier, vol. 266(1), pages 99-111.
    15. Tomasz Drabas & Cheng-Lung Wu, 2020. "A market spill–recapture unconstraining model for estimating airline true demand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(1), pages 43-60, February.
    16. Thomas Fiig & Oriana Goyons & Robin Adelving & Barry Smith, 2016. "Dynamic pricing – The next revolution in RM?," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(5), pages 360-379, October.
    17. Hyung Sup (Zack) Bhan & Eric T. Anderson, 2023. "Multiyear Impact of Backorder Delays: A Quasi-Experimental Approach," Marketing Science, INFORMS, vol. 42(2), pages 314-335, March.
    18. Hans Corsten & Michael Hopf & Benedikt Kasper & Clemens Thielen, 2018. "Assortment planning for multiple chain stores," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 875-912, October.
    19. Arhami, Omid & Aslani, Shirin & Talebian, Masoud, 2024. "Dynamic assortment planning and capacity allocation with logit substitution," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    20. Zhen-Yu Chen & Zhi-Ping Fan & Minghe Sun, 2023. "Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 158-177, January.
    21. Jacob Feldman & Dennis J. Zhang & Xiaofei Liu & Nannan Zhang, 2022. "Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba," Operations Research, INFORMS, vol. 70(1), pages 309-328, January.
    22. Park, Jisoo & Dayarian, Iman & Montreuil, Benoit, 2021. "Showcasing optimization in omnichannel retailing," European Journal of Operational Research, Elsevier, vol. 294(3), pages 895-905.
    23. Garrett van Ryzin & Gustavo Vulcano, 2015. "A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models," Management Science, INFORMS, vol. 61(2), pages 281-300, February.
    24. Zhen-Yu Chen & Minghe Sun, 2025. "Deep Stacking Kernel Machines for the Data-Driven Multi-Item, One-Warehouse, Multiretailer Problems with Backlog and Lost Sales," INFORMS Journal on Computing, INFORMS, vol. 37(4), pages 894-916, July.
    25. Zhenwei Luo & Pengfei Guo & Yulan Wang, 2023. "Manage Inventories with Learning on Demands and Buy-up Substitution Probability," Manufacturing & Service Operations Management, INFORMS, vol. 25(2), pages 563-580, March.
    26. Ruxian Wang, 2021. "Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation," Operations Research, INFORMS, vol. 69(4), pages 1044-1056, July.
    27. Larry Weatherford, 2016. "The history of unconstraining models in revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 222-228, July.
    28. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    29. Resul Aydemir & Mehmet Melih Değirmenci & Abdullah Bilgin, 2023. "Estimation of passenger sell-up rates in airline revenue management by considering the effect of fare class availability," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(6), pages 501-513, December.
    30. Gah-Yi Ban, 2020. "Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring," Operations Research, INFORMS, vol. 68(2), pages 309-326, March.
    31. Derhami, Shahab & Montreuil, Benoit & Bau, Guilhem, 2021. "Assessing product availability in omnichannel retail networks in the presence of on-demand inventory transshipment and product substitution," Omega, Elsevier, vol. 102(C).
    32. Yicheng Bai & Jacob Feldman & Huseyin Topaloglu & Laura Wagner, 2024. "Assortment Optimization Under the Multinomial Logit Model with Utility-Based Rank Cutoffs," Operations Research, INFORMS, vol. 72(4), pages 1453-1474, July.
    33. Jong-Shi Pang & Che-Lin Su & Yu-Ching Lee, 2015. "A Constructive Approach to Estimating Pure Characteristics Demand Models with Pricing," Operations Research, INFORMS, vol. 63(3), pages 639-659, June.
    34. Keun Hee Lee & Mali Abdollahian & Sergei Schreider & Sona Taheri, 2023. "Supply Chain Demand Forecasting and Price Optimisation Models with Substitution Effect," Mathematics, MDPI, vol. 11(11), pages 1-28, May.
    35. Ningyuan Chen & Ming Hu, 2023. "Frontiers in Service Science: Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions," Service Science, INFORMS, vol. 15(2), pages 79-91, June.
    36. Dong Liang & Richard Ratliff & Norbert Remenyi, 2017. "Robust revenue opportunity modeling with quadratic programming," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(6), pages 569-579, December.
    37. Chiwei Yan & Cynthia Barnhart & Vikrant Vaze, 2022. "Choice-Based Airline Schedule Design and Fleet Assignment: A Decomposition Approach," Transportation Science, INFORMS, vol. 56(6), pages 1410-1431, November.
    38. Qiu, Jiaqing & Li, Xiangyong & Duan, Yongrui & Chen, Mengxi & Tian, Peng, 2020. "Dynamic assortment in the presence of brand heterogeneity," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    39. Belleh Fontem, 2023. "Robust Chance-Constrained Geometric Programming with Application to Demand Risk Mitigation," Journal of Optimization Theory and Applications, Springer, vol. 197(2), pages 765-797, May.
    40. Anran Li & Kalyan Talluri & Müge Tekin, 2025. "Estimating Demand with Unobserved No-Purchases on Revenue-Managed Data," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 161-180, January.
    41. Elçin Ergin & Mehmet Gümüş & Nathan Yang, 2022. "An Empirical Analysis of Intra‐Firm Product Substitutability in Fashion Retailing," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 607-621, February.
    42. Marshall Fisher & Santiago Gallino & Jun Li, 2018. "Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments," Management Science, INFORMS, vol. 64(6), pages 2496-2514, June.
    43. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.
    44. Tangjian Wei & Feng Shi & Guangming Xu, 2019. "Estimation of Time-Varying Passenger Demand for High Speed Rail System," Complexity, Hindawi, vol. 2019, pages 1-24, March.
    45. Joonkyum Lee & Vishal Gaur & Suresh Muthulingam & Gary F. Swisher, 2016. "Stockout-Based Substitution and Inventory Planning in Textbook Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 104-121, February.
    46. Fernando Bernstein & A. Gürhan Kök & Lei Xie, 2015. "Dynamic Assortment Customization with Limited Inventories," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 538-553, October.
    47. John S. Jatta & Krishna Kumar Krishnan, 2016. "An empirical assessment of a univariate time series for demand planning in a demand-driven supply chain," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(3), pages 269-290.
    48. Guillermo Gallego & Haengju Lee, 2020. "Callable products with dependent demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(3), pages 185-200, April.
    49. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    50. Yu, Yugang & Wang, Bo & Zheng, Shengming, 2024. "Data-driven product design and assortment optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    51. Felipe Caro & Jérémie Gallien, 2012. "Clearance Pricing Optimization for a Fast-Fashion Retailer," Operations Research, INFORMS, vol. 60(6), pages 1404-1422, December.
    52. Ahmed Abdelghany & Khaled Abdelghany & Ching-Wen Huang, 2021. "An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 227-247, June.
    53. Felix Meyer & Göran Kauermann & Christopher Alder & Catherine Cleophas, 2025. "Modeling price-sensitive demand in turbulent times: an application to continuous pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(2), pages 153-177, April.
    54. Xabier Barriola & William Schmidt, 2025. "The High Impact of Hurricanes on Prices in Low-Income Communities," Manufacturing & Service Operations Management, INFORMS, vol. 27(4), pages 993-1007, July.
    55. Ali Aouad & Jacob Feldman & Danny Segev, 2023. "The Exponomial Choice Model for Assortment Optimization: An Alternative to the MNL Model?," Management Science, INFORMS, vol. 69(5), pages 2814-2832, May.
    56. Paat Rusmevichientong & Huseyin Topaloglu, 2012. "Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 60(4), pages 865-882, August.
    57. Julia Levine & Stephan Seiler, 2023. "Identifying State Dependence in Brand Choice: Evidence from Hurricanes," Marketing Science, INFORMS, vol. 42(5), pages 934-957, September.
    58. Marlin W. Ulmer, 2020. "Dynamic Pricing and Routing for Same-Day Delivery," Transportation Science, INFORMS, vol. 54(4), pages 1016-1033, July.
    59. Rainer Schlosser & Martin Boissier, 2018. "Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations," Papers 1809.02433, arXiv.org.
    60. Jianqing Fan & Zhipeng Lou & Weichen Wang & Mengxin Yu, 2026. "Spectral Ranking Inferences Based on General Multiway Comparisons," Operations Research, INFORMS, vol. 74(1), pages 161-180, January.
    61. Philipp Bartke & Natalia Kliewer & Catherine Cleophas, 2018. "Benchmarking filter-based demand estimates for airline revenue management," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(1), pages 57-88, March.
    62. Ang Xu & Chiwei Yan & Chong Yang Goh & Patrick Jaillet, 2025. "A Locational Demand Model for Bike-Sharing," Manufacturing & Service Operations Management, INFORMS, vol. 27(3), pages 897-916, May.
    63. Chenxu Ke & Anran Li & Ruxian Wang, 2025. "Modeling, Prediction, Assortment and Price Optimization Under Consumer Choice Behavior," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 19(1), pages 1-141, January.
    64. Marshall Fisher & Marcelo Olivares & Bradley R. Staats, 2020. "Why Empirical Research Is Good for Operations Management, and What Is Good Empirical Operations Management?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 170-178, January.
    65. Nan Liu & Yuhang Ma & Huseyin Topaloglu, 2020. "Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings," INFORMS Journal on Computing, INFORMS, vol. 32(3), pages 835-853, July.
    66. Tarek Abdallah & Gustavo Vulcano, 2021. "Demand Estimation Under the Multinomial Logit Model from Sales Transaction Data," Manufacturing & Service Operations Management, INFORMS, vol. 23(5), pages 1196-1216, September.
    67. Sascha Kurz & Jörg Rambau & Jörg Schlüchtermann & Rainer Wolf, 2015. "The Top-Dog Index: a new measurement for the demand consistency of the size distribution in pre-pack orders for a fashion discounter with many small branches," Annals of Operations Research, Springer, vol. 229(1), pages 541-563, June.
    68. Zhang, Yi & Hua, Guowei & Wang, Shouyang & Zhang, Juliang & Fernandez, Vicenc, 2018. "Managing demand uncertainty: Probabilistic selling versus inventory substitution," International Journal of Production Economics, Elsevier, vol. 196(C), pages 56-67.
    69. Yuyang Tan & Hao Gong & Chunxiang Guo, 2025. "Bi-Objective Optimization of Product Selection and Ranking Considering Sequential Search," SAGE Open, , vol. 15(3), pages 21582440251, August.
    70. Gad Allon & Joseph Carlstein & Yonatan Gur, 2025. "Leveraging Consensus Effect to Optimize Ranking in Online Discussion Boards," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1701-1720, November.
    71. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    72. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
    73. Gupta, Vishal Kumar & Ting, Q.U. & Tiwari, Manoj Kumar, 2019. "Multi-period price optimization problem for omnichannel retailers accounting for customer heterogeneity," International Journal of Production Economics, Elsevier, vol. 212(C), pages 155-167.
    74. Jean Pauphilet, 2024. "Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 11-27, January.
    75. Srikanth Jagabathula & Dmitry Mitrofanov & Gustavo Vulcano, 2024. "Demand Estimation Under Uncertain Consideration Sets," Operations Research, INFORMS, vol. 72(1), pages 19-42, January.
    76. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    77. Vinayak Deshpande & Pradeep K. Pendem, 2023. "Logistics Performance, Ratings, and Its Impact on Customer Purchasing Behavior and Sales in E-Commerce Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 827-845, May.
    78. Daniel Steeneck & Fredrik Eng-Larsson & Francisco Jauffred, 2022. "Estimating Lost Sales for Substitutable Products with Uncertain On-Shelf Availability," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1578-1594, May.
    79. Olivares-Nadal, Alba V., 2024. "Constructing decision rules for multiproduct newsvendors: An integrated estimation-and-optimization framework," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1021-1037.
    80. Shivaram Subramanian & Pavithra Harsha, 2021. "Demand Modeling in the Presence of Unobserved Lost Sales," Management Science, INFORMS, vol. 67(6), pages 3803-3833, June.
    81. Newman, Jeffrey P. & Ferguson, Mark E. & Garrow, Laurie A., 2013. "Estimating GEV models with censored data," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 170-184.
    82. Vasilyev, Andrey & Maier, Sebastian & Seifert, Ralf W., 2023. "Assortment optimization using an attraction model in an omnichannel environment," European Journal of Operational Research, Elsevier, vol. 306(1), pages 207-226.
    83. Ben Vinod, 2016. "Evolution of yield management in travel," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 203-211, July.
    84. Jian Chen & Yong Liang & Hao Shen & Zuo-Jun Max Shen & Mengying Xue, 2022. "Offline-Channel Planning in Smart Omnichannel Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 24(5), pages 2444-2462, September.
    85. Marshall Fisher & Ramnath Vaidyanathan, 2014. "A Demand Estimation Procedure for Retail Assortment Optimization with Results from Implementations," Management Science, INFORMS, vol. 60(10), pages 2401-2415, October.
    86. Vivek F. Farias & Srikanth Jagabathula & Devavrat Shah, 2013. "A Nonparametric Approach to Modeling Choice with Limited Data," Management Science, INFORMS, vol. 59(2), pages 305-322, December.
    87. Swaminathan, Kritika & Venkitasubramony, Rakesh, 2024. "Demand forecasting for fashion products: A systematic review," International Journal of Forecasting, Elsevier, vol. 40(1), pages 247-267.
    88. Sanghoon Cho & Mark Ferguson & Pelin Pekgün & Andrew Vakhutinsky, 2023. "Estimating Personalized Demand with Unobserved No-Purchases Using a Mixture Model: An Application in the Hotel Industry," Manufacturing & Service Operations Management, INFORMS, vol. 25(4), pages 1245-1262, July.
    89. Aditya Jain & Nils Rudi & Tong Wang, 2015. "Demand Estimation and Ordering Under Censoring: Stock-Out Timing Is (Almost) All You Need," Operations Research, INFORMS, vol. 63(1), pages 134-150, February.
    90. Ruxian Wang, 2022. "What Is the Impact of Nonrandomness on Random Choice Models?," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 485-503, January.
    91. C. I. Chiang, 2023. "Availability control under online reviews in hospitality," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 385-398, October.
    92. Parisa Famil Alamdar & Abbas Seifi, 2024. "Dynamic pricing of differentiated products under competition with reference price effects using a neural network-based approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(6), pages 575-587, December.
    93. Wang, Jianbiao & Miwa, Tomio & Morikawa, Takayuki, 2023. "Recursive decomposition probability model for demand estimation of street-hailing taxis utilizing GPS trajectory data," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 171-195.
    94. Alain Bensoussan & Pengfei Guo, 2015. "Technical Note—Managing Nonperishable Inventories with Learning About Demand Arrival Rate Through Stockout Times," Operations Research, INFORMS, vol. 63(3), pages 602-609, June.
    95. Jeffrey P. Newman & Mark E. Ferguson & Laurie A. Garrow & Timothy L. Jacobs, 2014. "Estimation of Choice-Based Models Using Sales Data from a Single Firm," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 184-197, May.
    96. Songtao Li & Lauren Xiaoyuan Lu & Susan Feng Lu & Simin Huang, 2023. "Estimating the Stockout-Based Demand Spillover Effect in a Fashion Retail Setting," Manufacturing & Service Operations Management, INFORMS, vol. 25(2), pages 468-488, March.
    97. Srikanth Jagabathula & Paat Rusmevichientong & Ashwin Venkataraman & Xinyi Zhao, 2024. "Estimating Large-Scale Tree Logit Models," Operations Research, INFORMS, vol. 72(1), pages 257-276, January.
    98. Kris Johnson Ferreira & Bin Hong Alex Lee & David Simchi-Levi, 2016. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 69-88, February.

  11. Juan M. Chaneton & Gustavo Vulcano, 2011. "Computing Bid Prices for Revenue Management Under Customer Choice Behavior," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 452-470, October.

    Cited by:

    1. Sumit Kunnumkal & Kalyan Talluri, 2019. "Choice Network Revenue Management Based on New Tractable Approximations," Transportation Science, INFORMS, vol. 53(6), pages 1591-1608, November.
    2. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    3. Aydın Alptekinoğlu & John H. Semple, 2016. "The Exponomial Choice Model: A New Alternative for Assortment and Price Optimization," Operations Research, INFORMS, vol. 64(1), pages 79-93, February.
    4. Garrett van Ryzin & Gustavo Vulcano, 2015. "A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models," Management Science, INFORMS, vol. 61(2), pages 281-300, February.
    5. Neda Etebari Alamdari & Gilles Savard, 2021. "Deep reinforcement learning in seat inventory control problem: an action generation approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(5), pages 566-579, October.
    6. Morad Hosseinalifam & Gilles Savard & Patrice Marcotte, 2016. "Computing booking limits under a non-parametric demand model: A mathematical programming approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(2), pages 170-184, April.
    7. Liu, Hengyu & Zhang, Juliang & Zhou, Chen & Ru, Yihong, 2018. "Optimal purchase and inventory retrieval policies for perishable seasonal agricultural products," Omega, Elsevier, vol. 79(C), pages 133-145.
    8. Aydın Alptekinoğlu & John H. Semple, 2021. "Heteroscedastic Exponomial Choice," Operations Research, INFORMS, vol. 69(3), pages 841-858, May.
    9. Garrett van Ryzin & Gustavo Vulcano, 2017. "Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand," Operations Research, INFORMS, vol. 65(2), pages 396-407, April.
    10. Peng Hu & Stephen Shum & Man Yu, 2016. "Joint Inventory and Markdown Management for Perishable Goods with Strategic Consumer Behavior," Operations Research, INFORMS, vol. 64(1), pages 118-134, February.
    11. Paat Rusmevichientong & Huseyin Topaloglu, 2012. "Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 60(4), pages 865-882, August.
    12. Shadi Azadeh & M. Hosseinalifam & G. Savard, 2015. "The impact of customer behavior models on revenue management systems," Computational Management Science, Springer, vol. 12(1), pages 99-109, January.
    13. Dan Zhang & Larry Weatherford, 2017. "Dynamic Pricing for Network Revenue Management: A New Approach and Application in the Hotel Industry," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 18-35, February.
    14. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
    15. Sebastian Koch & Jochen Gönsch & Michael Hassler & Robert Klein, 2016. "Practical decision rules for risk-averse revenue management using simulation-based optimization," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 468-487, December.
    16. Hosseinalifam, M. & Marcotte, P. & Savard, G., 2016. "A new bid price approach to dynamic resource allocation in network revenue management," European Journal of Operational Research, Elsevier, vol. 255(1), pages 142-150.
    17. Barbier, Thibault & Anjos, Miguel F. & Cirinei, Fabien & Savard, Gilles, 2020. "Product-closing approximation for ranking-based choice network revenue management," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1002-1017.

  12. Nikolay Osadchiy & Gustavo Vulcano, 2010. "Selling with Binding Reservations in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 56(12), pages 2173-2190, December.

    Cited by:

    1. Yen-Ting Lin & Ali K. Parlaktürk & Jayashankar M. Swaminathan, 2018. "Are Strategic Customers Bad for a Supply Chain?," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 481-497, July.
    2. Wu, Meng & Ran, Yun & Zhu, Stuart X., 2022. "Optimal pricing strategy: How to sell to strategic consumers?," International Journal of Production Economics, Elsevier, vol. 244(C).
    3. Ying‐Ju Chen & Leon Yang Chu, 2020. "Synchronizing pricing and replenishment to serve forward‐looking customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 321-333, August.
    4. Guohao Li & Qihuan Chu, 2025. "Advance Selling Without Disclosing the Regular Price? The Role of Anticipated Regret," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(6), pages 3504-3519, September.
    5. Ye, Taofeng & Yang, Huiqiang, 2020. "Price and Quality Management with Strategic Consumers: Whether to Introduce a High or Low Product Variant," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    6. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    7. Ilan Lobel & Jigar Patel & Gustavo Vulcano & Jiawei Zhang, 2016. "Optimizing Product Launches in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 62(6), pages 1778-1799, June.
    8. Övünç Yılmaz & Pelin Pekgün & Mark Ferguson, 2017. "Would You Like to Upgrade to a Premium Room? Evaluating the Benefit of Offering Standby Upgrades," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 1-18, February.
    9. Adam J. Mersereau & Dan Zhang, 2012. "Markdown Pricing with Unknown Fraction of Strategic Customers," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 355-370, July.
    10. Jaelynn Oh & Xuanming Su, 2022. "Optimal Pricing and Overbooking of Reservations," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 928-940, March.
    11. So Yeon Chun & Anton Ovchinnikov, 2019. "Strategic Consumers, Revenue Management, and the Design of Loyalty Programs," Management Science, INFORMS, vol. 65(9), pages 3969-3987, September.
    12. José Correa & Dana Pizarro & Gustavo J. Vulcano, 2024. "The Value of Observing the Buyers’ Arrival Time in Dynamic Pricing," Management Science, INFORMS, vol. 70(4), pages 2107-2121, April.
    13. Manel Baucells & Nikolay Osadchiy & Anton Ovchinnikov, 2017. "Behavioral Anomalies in Consumer Wait-or-Buy Decisions and Their Implications for Markdown Management," Operations Research, INFORMS, vol. 65(2), pages 357-378, April.
    14. Fei Gao & Xuanming Su, 2017. "Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 84-98, February.
    15. Imsu Park & Ilyoung Jung & Jeonghoon Choi, 2020. "Market competition and pricing strategies in retail supply chains," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1528-1538, December.
    16. Yingxiao Li & Jianheng Zhou, 2023. "Modeling the relationship between fairness concern and customer loyalty in dual distribution channel," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-25, January.
    17. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    18. Yossi Aviv & Mike Mingcheng Wei & Fuqiang Zhang, 2019. "Responsive Pricing of Fashion Products: The Effects of Demand Learning and Strategic Consumer Behavior," Management Science, INFORMS, vol. 65(7), pages 2982-3000, July.
    19. Yao Cui & Izak Duenyas & Ozge Sahin, 2018. "Pricing of Conditional Upgrades in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 64(7), pages 3208-3226, July.
    20. José Correa & Ricardo Montoya & Charles Thraves, 2016. "Contingent Preannounced Pricing Policies with Strategic Consumers," Operations Research, INFORMS, vol. 64(1), pages 251-272, February.
    21. Fernando Bernstein & Victor Martínez-de-Albéniz, 2017. "Dynamic Product Rotation in the Presence of Strategic Customers," Management Science, INFORMS, vol. 63(7), pages 2092-2107, July.

  13. Juan José Miranda Bront & Isabel Méndez-Díaz & Gustavo Vulcano, 2009. "A Column Generation Algorithm for Choice-Based Network Revenue Management," Operations Research, INFORMS, vol. 57(3), pages 769-784, June.

    Cited by:

    1. Xi Chen & Chao Shi & Yining Wang & Yuan Zhou, 2021. "Dynamic Assortment Planning Under Nested Logit Models," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 85-102, January.
    2. Pin Gao & Yuhang Ma & Ningyuan Chen & Guillermo Gallego & Anran Li & Paat Rusmevichientong & Huseyin Topaloglu, 2021. "Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection," Operations Research, INFORMS, vol. 69(5), pages 1509-1532, September.
    3. Dan Zhang, 2011. "An Improved Dynamic Programming Decomposition Approach for Network Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 35-52, April.
    4. Guillermo Gallego & Richard Ratliff & Sergey Shebalov, 2015. "A General Attraction Model and Sales-Based Linear Program for Network Revenue Management Under Customer Choice," Operations Research, INFORMS, vol. 63(1), pages 212-232, February.
    5. Sumit Kunnumkal & Kalyan Talluri, 2019. "Choice Network Revenue Management Based on New Tractable Approximations," Transportation Science, INFORMS, vol. 53(6), pages 1591-1608, November.
    6. Gerardo Berbeglia & Alvaro Flores & Guillermo Gallego, 2021. "The Refined Assortment Optimization Problem," Papers 2102.03043, arXiv.org.
    7. Venus Lo & Huseyin Topaloglu, 2022. "Omnichannel Assortment Optimization Under the Multinomial Logit Model with a Features Tree," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 1220-1240, March.
    8. Fatemeh Nosrat & William L. Cooper & Zizhuo Wang, 2021. "Pricing for a product with network effects and mixed logit demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(2), pages 159-182, March.
    9. Philipp Hausenblas & Dominik Eichhorn & Andreas Brieden & Matthias Soppert & Claudius Steinhardt, 2025. "Improving network dynamic pricing policies through offline reinforcement learning," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(4), pages 1217-1266, December.
    10. Lin, Yun Hui & Wang, Yuan & He, Dongdong & Lee, Loo Hay, 2020. "Last-mile delivery: Optimal locker location under multinomial logit choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    11. Nicolas Houy & François Le Grand, 2015. "The Monte Carlo first-come-first-served heuristic for network revenue management," Working Papers halshs-01155698, HAL.
    12. Sumit Kunnumkal & Kalyan Talluri, 2016. "Technical Note—A Note on Relaxations of the Choice Network Revenue Management Dynamic Program," Operations Research, INFORMS, vol. 64(1), pages 158-166, February.
    13. Çömez-Dolgan, Nagihan & Moussawi-Haidar, Lama & Jaber, Mohamad Y. & Cephe, Ecem, 2022. "Capacitated assortment planning of a multi-location system under transshipments," International Journal of Production Economics, Elsevier, vol. 251(C).
    14. Chandrasekhar Manchiraju & Milind Dawande & Ganesh Janakiraman, 2024. "Technical Note—A Note on State-Independent Policies in Network Revenue Management," Operations Research, INFORMS, vol. 72(1), pages 277-287, January.
    15. Flores, Alvaro & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2019. "Assortment optimization under the Sequential Multinomial Logit Model," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1052-1064.
    16. Agrawal, Deepak & Pang, Guodong & Kumara, Soundar, 2023. "Preference based scheduling in a healthcare provider network," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1318-1335.
    17. Amin Eskandari & Koorush Ziarati & Alireza Nikseresht, 2025. "Bi-objective assortment optimization under a ranking-based choice model: formulation and solution approach using NSGA-II," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 568-583, December.
    18. Felipe Caro & Victor Martínez-de-Albéniz & Paat Rusmevichientong, 2014. "The Assortment Packing Problem: Multiperiod Assortment Planning for Short-Lived Products," Management Science, INFORMS, vol. 60(11), pages 2701-2721, November.
    19. Stefanus Jasin & Chengyi Lyu & Sajjad Najafi & Huanan Zhang, 2024. "Assortment Optimization with Multi-Item Basket Purchase Under Multivariate MNL Model," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 215-232, January.
    20. Guan, Zhimin & Mou, Yuxia & Zhang, Jun, 2024. "Incorporating risk aversion and time preference into omnichannel retail operations considering assortment and inventory optimization," European Journal of Operational Research, Elsevier, vol. 314(2), pages 579-596.
    21. Woonghee Tim Huh & Joseph Paat & Maurice Queyranne, 2026. "Performance of the Offer-Everything Policy," Operations Research, INFORMS, vol. 74(1), pages 141-160, January.
    22. Paat Rusmevichientong & Zuo-Jun Max Shen & David B. Shmoys, 2010. "Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint," Operations Research, INFORMS, vol. 58(6), pages 1666-1680, December.
    23. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    24. Zhang, Le & Azadeh, Shadi Sharif & Jiang, Hai, 2025. "Exact and heuristic algorithms for cardinality-constrained assortment optimization problem under the cross-nested logit model," European Journal of Operational Research, Elsevier, vol. 324(1), pages 183-199.
    25. Ali Aouad & Danny Segev, 2021. "Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Preferences," Management Science, INFORMS, vol. 67(6), pages 3519-3550, June.
    26. Antoine Désir & Vineet Goyal & Srikanth Jagabathula & Danny Segev, 2021. "Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice," Operations Research, INFORMS, vol. 69(4), pages 1206-1227, July.
    27. Miguel A. Lejeune & Wenbo Ma, 2025. "Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods," Operations Research, INFORMS, vol. 73(1), pages 86-108, January.
    28. Georg Bechler & Claudius Steinhardt & Jochen Mackert, 2021. "On the Linear Integration of Attraction Choice Models in Business Optimization Problems," SN Operations Research Forum, Springer, vol. 2(1), pages 1-13, March.
    29. Andrés Abeliuk & Gerardo Berbeglia & Manuel Cebrian & Pascal Van Hentenryck, 2016. "Assortment optimization under a multinomial logit model with position bias and social influence," 4OR, Springer, vol. 14(1), pages 57-75, March.
    30. Santiago R. Balseiro & Omar Besbes & Dana Pizarro, 2024. "Survey of Dynamic Resource-Constrained Reward Collection Problems: Unified Model and Analysis," Operations Research, INFORMS, vol. 72(5), pages 2168-2189, September.
    31. Amr Farahat & Joonkyum Lee, 2018. "The Multiproduct Newsvendor Problem with Customer Choice," Operations Research, INFORMS, vol. 66(1), pages 123-136, January.
    32. Yicheng Bai & Jacob Feldman & Huseyin Topaloglu & Laura Wagner, 2024. "Assortment Optimization Under the Multinomial Logit Model with Utility-Based Rank Cutoffs," Operations Research, INFORMS, vol. 72(4), pages 1453-1474, July.
    33. Erfan Mehmanchi & Andrés Gómez & Oleg A. Prokopyev, 2019. "Fractional 0–1 programs: links between mixed-integer linear and conic quadratic formulations," Journal of Global Optimization, Springer, vol. 75(2), pages 273-339, October.
    34. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
    35. Neda Etebari Alamdari & Gilles Savard, 2021. "Deep reinforcement learning in seat inventory control problem: an action generation approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(5), pages 566-579, October.
    36. Yufeng Cao & Paat Rusmevichientong & Huseyin Topaloglu, 2023. "Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models," Operations Research, INFORMS, vol. 71(2), pages 603-625, March.
    37. Sumit Kunnumkal & Victor Martínez-de-Albéniz, 2019. "Tractable Approximations for Assortment Planning with Product Costs," Operations Research, INFORMS, vol. 67(2), pages 436-452, March.
    38. Uzma Mushtaque & Jennifer A. Pazour, 2020. "Random Utility Models with Cardinality Context Effects for Online Subscription Service Platforms," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(4), pages 276-290, August.
    39. Chiwei Yan & Cynthia Barnhart & Vikrant Vaze, 2022. "Choice-Based Airline Schedule Design and Fleet Assignment: A Decomposition Approach," Transportation Science, INFORMS, vol. 56(6), pages 1410-1431, November.
    40. Wuyang Yuan & Lei Nie & Xin Wu & Huiling Fu, 2018. "A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    41. Kameng Nip & Zhenbo Wang & Zizhuo Wang, 2021. "Assortment Optimization under a Single Transition Choice Model," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2122-2142, July.
    42. Morad Hosseinalifam & Gilles Savard & Patrice Marcotte, 2016. "Computing booking limits under a non-parametric demand model: A mathematical programming approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(2), pages 170-184, April.
    43. Çömez-Dolgan, Nagihan & Dağ, Hilal & Fescioglu-Unver, Nilgun & Şen, Alper, 2023. "Multi-plant manufacturing assortment planning in the presence of transshipments," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1033-1050.
    44. Antoine Désir & Vineet Goyal & Jiawei Zhang, 2022. "Technical Note—Capacitated Assortment Optimization: Hardness and Approximation," Operations Research, INFORMS, vol. 70(2), pages 893-904, March.
    45. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
    46. Ali Aouad & Vivek Farias & Retsef Levi, 2021. "Assortment Optimization Under Consider-Then-Choose Choice Models," Management Science, INFORMS, vol. 67(6), pages 3368-3386, June.
    47. Mehrani, Saharnaz & Sefair, Jorge A., 2022. "Robust assortment optimization under sequential product unavailability," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1027-1043.
    48. Itai Ashlagi & Anilesh K. Krishnaswamy & Rahul Makhijani & Daniela Saban & Kirankumar Shiragur, 2022. "Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets," Operations Research, INFORMS, vol. 70(5), pages 2784-2803, September.
    49. Jacob Feldman & Nan Liu & Huseyin Topaloglu & Serhan Ziya, 2014. "Appointment Scheduling Under Patient Preference and No-Show Behavior," Operations Research, INFORMS, vol. 62(4), pages 794-811, August.
    50. Anton J. Kleywegt & Hongzhang Shao, 2022. "Revenue Management Under the Markov Chain Choice Model with Joint Price and Assortment Decisions," Papers 2204.04774, arXiv.org.
    51. Alper Atamtürk & Andrés Gómez, 2020. "Submodularity in Conic Quadratic Mixed 0–1 Optimization," Operations Research, INFORMS, vol. 68(2), pages 609-630, March.
    52. David Bergman & Andre A. Cire, 2018. "Discrete Nonlinear Optimization by State-Space Decompositions," Management Science, INFORMS, vol. 64(10), pages 4700-4720, October.
    53. Fernando Bernstein & A. Gürhan Kök & Lei Xie, 2015. "Dynamic Assortment Customization with Limited Inventories," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 538-553, October.
    54. Mika Sumida & Guillermo Gallego & Paat Rusmevichientong & Huseyin Topaloglu & James Davis, 2021. "Revenue-Utility Tradeoff in Assortment Optimization Under the Multinomial Logit Model with Totally Unimodular Constraints," Management Science, INFORMS, vol. 67(5), pages 2845-2869, May.
    55. Wenchang Zhu & Paat Rusmevichientong & Huseyin Topaloglu, 2026. "A Unified Framework to Impose Market Share Constraints for Selected Product Classes: Randomized and Deterministic Assortments Under the Multinomial Logit Model," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 172-192, January.
    56. Fernanda Bravo & Ashvin Gandhi & Jingyuan Hu & Elisa F. Long, 2026. "Closer to Home: A Structural Estimate-Then-Optimize Approach to Improve Access to Healthcare Services," Management Science, INFORMS, vol. 72(3), pages 2345-2363, March.
    57. Chan, Rebecca & Li, Zhaolin & Matsypura, Dmytro, 2020. "Assortment optimisation problem: A distribution-free approach," Omega, Elsevier, vol. 95(C).
    58. Meng Qi & Ho‐Yin Mak & Zuo‐Jun Max Shen, 2020. "Data‐driven research in retail operations—A review," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 595-616, December.
    59. Ali Aouad & Jacob Feldman & Danny Segev, 2023. "The Exponomial Choice Model for Assortment Optimization: An Alternative to the MNL Model?," Management Science, INFORMS, vol. 69(5), pages 2814-2832, May.
    60. Paat Rusmevichientong & Huseyin Topaloglu, 2012. "Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 60(4), pages 865-882, August.
    61. Fernando Bernstein & Yuan Guo, 2023. "Managing Customer Search: Assortment Planning for a Subscription Box Service," Manufacturing & Service Operations Management, INFORMS, vol. 25(5), pages 1623-1642, September.
    62. James M. Davis & Guillermo Gallego & Huseyin Topaloglu, 2014. "Assortment Optimization Under Variants of the Nested Logit Model," Operations Research, INFORMS, vol. 62(2), pages 250-273, April.
    63. Yi-Chun Akchen & Velibor V. Mišić, 2025. "Column-Randomized Linear Programs: Performance Guarantees and Applications," Operations Research, INFORMS, vol. 73(3), pages 1366-1383, May.
    64. Guillermo Gallego & Michael Z. F. Li & Yan Liu, 2020. "Dynamic Nonlinear Pricing of Inventories over Finite Sales Horizons," Operations Research, INFORMS, vol. 68(3), pages 655-670, May.
    65. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
    66. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    67. Yicheng Liu & Xiao Alison Chen & Yan Liu & Zizhuo Wang, 2025. "Simultaneous vs. Sequential: Optimal Assortment Recommendation in Multistore Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 27(3), pages 825-842, May.
    68. Sumit Kunnumkal & Kalyan Talluri, 2019. "A strong Lagrangian relaxation for general discrete-choice network revenue management," Computational Optimization and Applications, Springer, vol. 73(1), pages 275-310, May.
    69. Omar El Housni & Huseyin Topaloglu, 2023. "Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments," Operations Research, INFORMS, vol. 71(4), pages 1197-1215, July.
    70. Guillermo Gallego & Huseyin Topaloglu, 2014. "Constrained Assortment Optimization for the Nested Logit Model," Management Science, INFORMS, vol. 60(10), pages 2583-2601, October.
    71. Tiwari, Richa & Jayaswal, Sachin & Sinha, Ankur, 2021. "Alternate solution approaches for competitive hub location problems," European Journal of Operational Research, Elsevier, vol. 290(1), pages 68-80.
    72. Paat Rusmevichientong & Mika Sumida & Huseyin Topaloglu & Yicheng Bai, 2023. "Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals," Operations Research, INFORMS, vol. 71(6), pages 2196-2216, November.
    73. Nicolas Houy & François Le Grand, 2015. "Financing and advising with (over)confident entrepreneurs : an experimental investigation," Working Papers 1514, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    74. Gallego, Guillermo & Li, Anran & Truong, Van-Anh & Wang, Xinshang, 2020. "Approximation algorithms for product framing and pricing," LSE Research Online Documents on Economics 101983, London School of Economics and Political Science, LSE Library.
    75. Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
    76. Dan Zhang & Larry Weatherford, 2017. "Dynamic Pricing for Network Revenue Management: A New Approach and Application in the Hotel Industry," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 18-35, February.
    77. Koch, Sebastian & Klein, Robert, 2020. "Route-based approximate dynamic programming for dynamic pricing in attended home delivery," European Journal of Operational Research, Elsevier, vol. 287(2), pages 633-652.
    78. Hoang Giang Pham & Thuy Anh Ta & Tien Mai, 2025. "An exponential cone integer programming and piece-wise linear approximation approach for 0-1 fractional programming," Journal of Combinatorial Optimization, Springer, vol. 49(5), pages 1-16, July.
    79. Yi-Chun Akchen & Felipe Caro, 2026. "On Size Substitution and Its Role in Assortment and Inventory Planning," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 624-642, March.
    80. Mogens Dalgaard & Antoine Boulanger & Alexander Papen & Rune T. Hansen & Thomas Fiig & Janus Wesenberg, 2025. "Application of quantum computing in choice-based network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 506-523, December.
    81. Yuyang Tan & Hao Gong & Chunxiang Guo, 2025. "Bi-Objective Optimization of Product Selection and Ranking Considering Sequential Search," SAGE Open, , vol. 15(3), pages 21582440251, August.
    82. Yufeng Cao & Anton J. Kleywegt & He Wang, 2022. "Network Revenue Management Under a Spiked Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 70(4), pages 2237-2253, July.
    83. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
    84. Sebastian Koch & Jochen Gönsch & Michael Hassler & Robert Klein, 2016. "Practical decision rules for risk-averse revenue management using simulation-based optimization," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 468-487, December.
    85. Barbier, Thibault & Anjos, Miguel F. & Cirinei, Fabien & Savard, Gilles, 2020. "Product-closing approximation for ranking-based choice network revenue management," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1002-1017.
    86. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    87. Juan S. Borrero & Colin Gillen & Oleg A. Prokopyev, 2017. "Fractional 0–1 programming: applications and algorithms," Journal of Global Optimization, Springer, vol. 69(1), pages 255-282, September.
    88. Peng Shi, 2022. "Optimal Priority-Based Allocation Mechanisms," Management Science, INFORMS, vol. 68(1), pages 171-188, January.
    89. Jacob B. Feldman & Huseyin Topaloglu, 2015. "Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model," Operations Research, INFORMS, vol. 63(4), pages 812-822, August.
    90. Davina Rauhaus & Jochen Gönsch & Claudius Steinhardt, 2025. "On the value of booking data for upsell decision-making in revenue management," Flexible Services and Manufacturing Journal, Springer, vol. 37(2), pages 409-442, June.
    91. Markus Leitner & Andrea Lodi & Roberto Roberti & Claudio Sole, 2024. "An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs," INFORMS Journal on Computing, INFORMS, vol. 36(2), pages 479-494, March.
    92. Wuyang Yuan & Lei Nie, 2020. "Optimization of seat allocation with fixed prices: An application of railway revenue management in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-25, April.
    93. C. I. Chiang, 2023. "Availability control under online reviews in hospitality," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 385-398, October.

  14. Garrett van Ryzin & Gustavo Vulcano, 2008. "Simulation-Based Optimization of Virtual Nesting Controls for Network Revenue Management," Operations Research, INFORMS, vol. 56(4), pages 865-880, August.

    Cited by:

    1. Philipp Hausenblas & Dominik Eichhorn & Andreas Brieden & Matthias Soppert & Claudius Steinhardt, 2025. "Improving network dynamic pricing policies through offline reinforcement learning," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(4), pages 1217-1266, December.
    2. Tatsiana Levina & Yuri Levin & Jeff McGill & Mikhail Nediak, 2011. "Network Cargo Capacity Management," Operations Research, INFORMS, vol. 59(4), pages 1008-1023, August.
    3. Steinhardt, Claudius & Gönsch, Jochen, 2012. "Integrated revenue management approaches for capacity control with planned upgrades," European Journal of Operational Research, Elsevier, vol. 223(2), pages 380-391.
    4. Marsh, Alex & Scott, Garrett & Van Kuiken, Drew & Williams, Jonathan W., 2025. "Should I stay or should I go? An empirical analysis of consumer behavior using airline web-traffic data," Economics of Transportation, Elsevier, vol. 43(C).
    5. An, Jaehyung & Mikhaylov, Alexey & Jung, Sang-Uk, 2021. "A Linear Programming approach for robust network revenue management in the airline industry," Journal of Air Transport Management, Elsevier, vol. 91(C).
    6. Lijian Chen & Tito Homem-de-Mello, 2010. "Re-solving stochastic programming models for airline revenue management," Annals of Operations Research, Springer, vol. 177(1), pages 91-114, June.
    7. Miao Bai & Bjorn Berg & Esra Sisikoglu Sir & Mustafa Y. Sir, 2023. "Partially partitioned templating strategies for outpatient specialty practices," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 301-318, January.
    8. Jonathan Patrick & Martin L. Puterman & Maurice Queyranne, 2008. "Dynamic Multipriority Patient Scheduling for a Diagnostic Resource," Operations Research, INFORMS, vol. 56(6), pages 1507-1525, December.
    9. Graf, M. & Kimms, A., 2011. "An option-based revenue management procedure for strategic airline alliances," European Journal of Operational Research, Elsevier, vol. 215(2), pages 459-469, December.
    10. Wuyang Yuan & Lei Nie & Xin Wu & Huiling Fu, 2018. "A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    11. Sumit Kunnumkal & Huseyin Topaloglu, 2011. "A stochastic approximation algorithm to compute bid prices for joint capacity allocation and overbooking over an airline network," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(4), pages 323-343, June.
    12. Morad Hosseinalifam & Gilles Savard & Patrice Marcotte, 2016. "Computing booking limits under a non-parametric demand model: A mathematical programming approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(2), pages 170-184, April.
    13. Yongqiang Wang & Michael C. Fu & Steven I. Marcus, 2012. "A New Stochastic Derivative Estimator for Discontinuous Payoff Functions with Application to Financial Derivatives," Operations Research, INFORMS, vol. 60(2), pages 447-460, April.
    14. Deng, Yewen & Li, Na & Jiang, Zhibin & Xie, Xiaoqing & Kong, Nan, 2021. "Optimal differential subsidy policy design for a workload-imbalanced outpatient care network," Omega, Elsevier, vol. 99(C).
    15. Gönsch, Jochen, 2017. "A survey on risk-averse and robust revenue management," European Journal of Operational Research, Elsevier, vol. 263(2), pages 337-348.
    16. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
    17. Sebastian Koch & Jochen Gönsch & Michael Hassler & Robert Klein, 2016. "Practical decision rules for risk-averse revenue management using simulation-based optimization," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 468-487, December.
    18. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    19. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    20. Sumit Kunnumkal & Huseyin Topaloglu, 2008. "Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems," Operations Research, INFORMS, vol. 56(3), pages 646-664, June.

  15. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.

    Cited by:

    1. Dominic Coey & Bradley Larsen & Brennan Platt, 2016. "Discounts and Deadlines in Consumer Search," NBER Working Papers 22038, National Bureau of Economic Research, Inc.
    2. Nikolay Osadchiy & Gustavo Vulcano, 2010. "Selling with Binding Reservations in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 56(12), pages 2173-2190, December.
    3. Anderson, Chris K. & Xie, Xiaoqing, 2014. "Pricing and market segmentation using opaque selling mechanisms," European Journal of Operational Research, Elsevier, vol. 233(1), pages 263-272.
    4. Sun, Daewon & Li, Erick & Hayya, Jack C., 2010. "The optimal format to sell a product through the internet: Posted price, auction, and buy-price auction," International Journal of Production Economics, Elsevier, vol. 127(1), pages 147-157, September.
    5. Alexander Maslov, 2020. "A Note on Buyers’ Behavior in Auctions with an Outside Option," Games, MDPI, vol. 11(3), pages 1-9, July.
    6. Anthony Kim & Vahab Mirrokni & Hamid Nazerzadeh, 2021. "Deals or No Deals: Contract Design for Online Advertising," Operations Research, INFORMS, vol. 69(5), pages 1450-1467, September.
    7. Jérémie Gallien & Shobhit Gupta, 2007. "Temporary and Permanent Buyout Prices in Online Auctions," Management Science, INFORMS, vol. 53(5), pages 814-833, May.
    8. Yiwei Chen & Vivek F. Farias & Nikolaos Trichakis, 2019. "On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers," Management Science, INFORMS, vol. 65(12), pages 5535-5555, December.
    9. Olarte, Rafael & Haghani, Ali, 2018. "Introducing and testing a game-theoretic model for a lottery-based metering system in Minneapolis, United States," Transport Policy, Elsevier, vol. 62(C), pages 63-78.
    10. Hummel, Patrick, 2015. "Simultaneous use of auctions and posted prices," European Economic Review, Elsevier, vol. 78(C), pages 269-284.
    11. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    12. Caio Waisman, 2021. "Selling mechanisms for perishable goods: An empirical analysis of an online resale market for event tickets," Quantitative Marketing and Economics (QME), Springer, vol. 19(2), pages 127-178, June.
    13. Woonghee Tim Huh & Ganesh Janakiraman, 2008. "Inventory Management with Auctions and Other Sales Channels: Optimality of (s, S) Policies," Management Science, INFORMS, vol. 54(1), pages 139-150, January.
    14. May Truong & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2022. "Buyers’ Strategic Behavior in B2B Multichannel Auction Markets: When an Online Posted Price Channel Is Incorporated into a Dutch Auction System," Information Systems Research, INFORMS, vol. 33(4), pages 1344-1367, December.
    15. Freeman, David J. & Kimbrough, Erik O. & Reiss, J. Philipp, 2020. "Opportunity cost, inattention and the bidder’s curse," European Economic Review, Elsevier, vol. 129(C).
    16. Liang, Jinpeng & Wu, Jianjun & Gao, Ziyou & Sun, Huijun & Yang, Xin & Lo, Hong K., 2019. "Bus transit network design with uncertainties on the basis of a metro network: A two-step model framework," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 115-138.
    17. Shivam Gupta & Shouqiang Wang & Milind Dawande & Ganesh Janakiraman, 2021. "Procurement with Cost and Noncost Attributes: Cost-Sharing Mechanisms," Operations Research, INFORMS, vol. 69(5), pages 1349-1367, September.
    18. Zikun Ye & Dennis J. Zhang & Heng Zhang & Renyu Zhang & Xin Chen & Zhiwei Xu, 2023. "Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments," Management Science, INFORMS, vol. 69(7), pages 3838-3860, July.
    19. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    20. Subhasish M. Chowdhury & Debabrata Datta & Souvik Dhar, 2019. "Auction Versus Posted Price Mechanisms in Online Sales: The Roles of Impatience and Dissuasion," Studies in Microeconomics, , vol. 7(1), pages 75-88, June.
    21. Zhen Li & Ching-Chung Kuo, 2013. "Design of discrete Dutch auctions with an uncertain number of bidders," Annals of Operations Research, Springer, vol. 211(1), pages 255-272, December.
    22. Alexander Maslov, 2023. "Auctions versus posted prices in the revenue management of limited inventory," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1476-1490, April.
    23. Yvonne Durham & Matthew R. Roelofs & Todd A. Sorensen & Stephen S. Standifird, 2013. "A Laboratory Study Of Auctions With A Buy Price," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1357-1373, April.
    24. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
    25. Jason Kuruzovich & Hila Etzion, 2018. "Online Auctions and Multichannel Retailing," Management Science, INFORMS, vol. 64(6), pages 2734-2753, June.
    26. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach," Management Science, INFORMS, vol. 65(8), pages 3853-3876, August.
    27. Rui Yin & Yossi Aviv & Amit Pazgal & Christopher S. Tang, 2009. "Optimal Markdown Pricing: Implications of Inventory Display Formats in the Presence of Strategic Customers," Management Science, INFORMS, vol. 55(8), pages 1391-1408, August.
    28. Maxime C. Cohen & Antoine Désir & Nitish Korula & Balasubramanian Sivan, 2023. "Best of Both Worlds Ad Contracts: Guaranteed Allocation and Price with Programmatic Efficiency," Management Science, INFORMS, vol. 69(7), pages 4027-4050, July.
    29. Yeu-Shiang Huang & Min-Sheng Yang & Jyh-Wen Ho, 2022. "Bundling Decisions for Selling Multiple Items in Online Auctions," Decision Analysis, INFORMS, vol. 19(1), pages 44-62, March.
    30. Yu Ning & Su Xiu Xu & George Q. Huang & Xudong Lin, 2021. "Optimal digital product auctions with unlimited supply and rebidding behavior," Annals of Operations Research, Springer, vol. 307(1), pages 399-416, December.
    31. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    32. Ødegaard, Fredrik & Anderson, Chris K., 2014. "All-pay auctions with pre- and post-bidding options," European Journal of Operational Research, Elsevier, vol. 239(2), pages 579-592.
    33. Alexander Maslov, 2022. "Competition in online markets with auctions and posted prices," Journal of Economics, Springer, vol. 137(2), pages 145-169, October.
    34. Matzke, Andreas & Volling, Thomas & Spengler, Thomas S., 2016. "Upgrade auctions in build-to-order manufacturing with loss-averse customers," European Journal of Operational Research, Elsevier, vol. 250(2), pages 470-479.
    35. V. Padmanabhan & Ilia Tsetlin & Timothy Zandt, 2010. "Setting price or quantity: Depends on what the seller is more uncertain about," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 35-60, March.
    36. Man Yu & Roman Kapuscinski & Hyun-Soo Ahn, 2015. "Advance Selling: Effects of Interdependent Consumer Valuations and Seller’s Capacity," Management Science, INFORMS, vol. 61(9), pages 2100-2117, September.
    37. Patrick Hummel, 2018. "How do selling mechanisms affect profits, surplus, capacity and prices with unknown demand?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 94-126, February.

  16. Garrett van Ryzin & Gustavo Vulcano, 2004. "Optimal Auctioning and Ordering in an Infinite Horizon Inventory-Pricing System," Operations Research, INFORMS, vol. 52(3), pages 346-367, June.

    Cited by:

    1. Anderson, Chris K. & Xie, Xiaoqing, 2014. "Pricing and market segmentation using opaque selling mechanisms," European Journal of Operational Research, Elsevier, vol. 233(1), pages 263-272.
    2. Ghate, Archis, 2015. "Optimal minimum bids and inventory scrapping in sequential, single-unit, Vickrey auctions with demand learning," European Journal of Operational Research, Elsevier, vol. 245(2), pages 555-570.
    3. Liu, Shuren & Liu, Changgeng & Hu, Qiying, 2013. "Optimal procurement strategies by reverse auctions with stochastic demand," Economic Modelling, Elsevier, vol. 35(C), pages 430-435.
    4. Sun, Daewon & Li, Erick & Hayya, Jack C., 2010. "The optimal format to sell a product through the internet: Posted price, auction, and buy-price auction," International Journal of Production Economics, Elsevier, vol. 127(1), pages 147-157, September.
    5. Chen, Xi & Ghate, Archis & Tripathi, Arvind, 2011. "Dynamic lot-sizing in sequential online retail auctions," European Journal of Operational Research, Elsevier, vol. 215(1), pages 257-267, November.
    6. Hummel, Patrick, 2015. "Simultaneous use of auctions and posted prices," European Economic Review, Elsevier, vol. 78(C), pages 269-284.
    7. Pooya Farahvash & Tayfur Altiok, 2011. "A multi-period inventory model with multi-dimensional procurement bidding," Annals of Operations Research, Springer, vol. 186(1), pages 101-118, June.
    8. Woonghee Tim Huh & Ganesh Janakiraman, 2008. "Inventory Management with Auctions and Other Sales Channels: Optimality of (s, S) Policies," Management Science, INFORMS, vol. 54(1), pages 139-150, January.
    9. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    10. Bo Chen & Dmitriy Knyazev, 2026. "Optimal Discrimination-Free Auctions," Management Science, INFORMS, vol. 72(3), pages 2267-2283, March.
    11. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    12. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.
    13. Cem Ozturk, O. & Karabatı, Selçuk, 2017. "A decision support framework for evaluating revenue performance in sequential purchase contexts," European Journal of Operational Research, Elsevier, vol. 263(3), pages 922-934.
    14. Pooya Farahvash & Tayfur Altiok, 2008. "Application of multi-dimensional procurement auction in single-period inventory models," Annals of Operations Research, Springer, vol. 164(1), pages 229-251, November.
    15. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
    16. Jifeng Cao & Cheng Ma, 2022. "Procurement Strategies and Auction Mechanism for Heterogeneous Service Providers in a Service Supply Chain," Sustainability, MDPI, vol. 14(15), pages 1-36, July.
    17. Yu Ning & Su Xiu Xu & George Q. Huang & Xudong Lin, 2021. "Optimal digital product auctions with unlimited supply and rebidding behavior," Annals of Operations Research, Springer, vol. 307(1), pages 399-416, December.
    18. Sun, Daewon, 2008. "Dual mechanism for an online retailer," European Journal of Operational Research, Elsevier, vol. 187(3), pages 903-921, June.
    19. Patrick Hummel, 2018. "How do selling mechanisms affect profits, surplus, capacity and prices with unknown demand?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 94-126, February.

  17. Gustavo Vulcano & Garrett van Ryzin & Costis Maglaras, 2002. "Optimal Dynamic Auctions for Revenue Management," Management Science, INFORMS, vol. 48(11), pages 1388-1407, November.

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    2. Dalalah, Doraid & Ojiako, Udechukwu & Chipulu, Maxwell, 2020. "Voluntary overbooking in commercial airline reservations," Journal of Air Transport Management, Elsevier, vol. 86(C).
    3. Xu, Su Xiu & Guo, Ren-Yong & Zhai, Yue & Feng, Jianghong & Ning, Yu, 2024. "Toward a positive compensation policy for rail transport via mechanism design: The case of China Railway Express," Transport Policy, Elsevier, vol. 146(C), pages 322-342.
    4. Edieal J. Pinker & Abraham Seidmann & Yaniv Vakrat, 2003. "Managing Online Auctions: Current Business and Research Issues," Management Science, INFORMS, vol. 49(11), pages 1457-1484, November.
    5. Said, Maher, 2008. "Auctions with Dynamic Populations: Efficiency and Revenue Maximization," MPRA Paper 11456, University Library of Munich, Germany.
    6. Mierendorff, Konrad, 2016. "Optimal dynamic mechanism design with deadlines," Journal of Economic Theory, Elsevier, vol. 161(C), pages 190-222.
    7. Ghate, Archis, 2015. "Optimal minimum bids and inventory scrapping in sequential, single-unit, Vickrey auctions with demand learning," European Journal of Operational Research, Elsevier, vol. 245(2), pages 555-570.
    8. Liu, Shuren & Liu, Changgeng & Hu, Qiying, 2013. "Optimal procurement strategies by reverse auctions with stochastic demand," Economic Modelling, Elsevier, vol. 35(C), pages 430-435.
    9. Sun, Daewon & Li, Erick & Hayya, Jack C., 2010. "The optimal format to sell a product through the internet: Posted price, auction, and buy-price auction," International Journal of Production Economics, Elsevier, vol. 127(1), pages 147-157, September.
    10. Mukhopadhyay, Samar K. & Setaputra, Robert, 2007. "A dynamic model for optimal design quality and return policies," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1144-1154, August.
    11. Atul Bhandari & Nicola Secomandi, 2011. "TECHNICAL NOTE---Revenue Management with Bargaining," Operations Research, INFORMS, vol. 59(2), pages 498-506, April.
    12. Rachel R. Chen & Robin O. Roundy & Rachel Q. Zhang & Ganesh Janakiraman, 2005. "Efficient Auction Mechanisms for Supply Chain Procurement," Management Science, INFORMS, vol. 51(3), pages 467-482, March.
    13. Chen, Xi & Ghate, Archis & Tripathi, Arvind, 2011. "Dynamic lot-sizing in sequential online retail auctions," European Journal of Operational Research, Elsevier, vol. 215(1), pages 257-267, November.
    14. Tao Zhang & Quanyan Zhu, 2022. "On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment," Dynamic Games and Applications, Springer, vol. 12(2), pages 701-745, June.
    15. Yiwei Chen & Vivek F. Farias & Nikolaos Trichakis, 2019. "On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers," Management Science, INFORMS, vol. 65(12), pages 5535-5555, December.
    16. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2019. "Dynamic Mechanism Design with Budget-Constrained Buyers Under Limited Commitment," Operations Research, INFORMS, vol. 67(3), pages 711-730, May.
    17. Hummel, Patrick, 2015. "Simultaneous use of auctions and posted prices," European Economic Review, Elsevier, vol. 78(C), pages 269-284.
    18. Dirk Bergemann & Maher Said, 2010. "Dynamic Auctions: A Survey," Levine's Working Paper Archive 661465000000000035, David K. Levine.
    19. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2015. "Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design," Management Science, INFORMS, vol. 61(4), pages 864-884, April.
    20. Woonghee Tim Huh & Ganesh Janakiraman, 2008. "Inventory Management with Auctions and Other Sales Channels: Optimality of (s, S) Policies," Management Science, INFORMS, vol. 54(1), pages 139-150, January.
    21. Tao Zhang & Quanyan Zhu, 2019. "On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment," Papers 1909.13720, arXiv.org, revised May 2021.
    22. Santiago R. Balseiro & Vahab S. Mirrokni & Renato Paes Leme, 2018. "Dynamic Mechanisms with Martingale Utilities," Management Science, INFORMS, vol. 64(11), pages 5062-5082, November.
    23. Jihyeok Jung & Chan-Oi Song & Deok-Joo Lee & Kiho Yoon, 2024. "Optimal Mechanism in a Dynamic Stochastic Knapsack Environment," Papers 2402.14269, arXiv.org.
    24. Yiwei Chen & Nikolaos Trichakis, 2021. "Technical Note—On Revenue Management with Strategic Customers Choosing When and What to Buy," Operations Research, INFORMS, vol. 69(1), pages 175-187, January.
    25. Santiago R. Balseiro & Vahab Mirrokni & Renato Paes Leme & Song Zuo, 2022. "Dynamic Double Auctions: Toward First Best," Operations Research, INFORMS, vol. 70(4), pages 2299-2317, July.
    26. Chenyin Gong & Qing Li, 2026. "A Rolling Recruitment Process Under Applicant Stochastic Departures," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 290-307, January.
    27. Bahbouhi, Jalal Eddine & Moussa, Najem, 2017. "Prisoner’s dilemma game model for e-commerce," Applied Mathematics and Computation, Elsevier, vol. 292(C), pages 128-144.
    28. Lilun Du & Qing Li & Peiwen Yu, 2024. "A Sequential Model for High-Volume Recruitment Under Random Yields," Operations Research, INFORMS, vol. 72(1), pages 60-90, January.
    29. Bo Chen & Dmitriy Knyazev, 2026. "Optimal Discrimination-Free Auctions," Management Science, INFORMS, vol. 72(3), pages 2267-2283, March.
    30. Yiwei Chen & Ming Hu, 2020. "Pricing and Matching with Forward-Looking Buyers and Sellers," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 717-734, July.
    31. Ralph Boleslavsky & Maher Said, 2011. "Progressive Screening: Long-Term Contracting with a Privately Known Stochastic Process," Working Papers 2011-5, University of Miami, Department of Economics.
    32. Julius Graf & Thibaut Mastrolia, 2026. "Learning Market Making with Closing Auctions," Papers 2601.17247, arXiv.org.
    33. Mingrong Wang & Mingxi Wang & Lihua Lang, 2017. "Reconsidering Carbon Permits Auction Mechanism: An Efficient Dynamic Model," The World Economy, Wiley Blackwell, vol. 40(8), pages 1624-1645, August.
    34. Ayvaz-Cavdaroglu, Nur & Kachani, Soulaymane & Maglaras, Costis, 2016. "Revenue management with minimax regret negotiations," Omega, Elsevier, vol. 63(C), pages 12-22.
    35. Kaplan, Todd R & Zamir, Shmuel, 2014. "Advances in Auctions," MPRA Paper 54656, University Library of Munich, Germany.
    36. Sham M. Kakade & Ilan Lobel & Hamid Nazerzadeh, 2013. "Optimal Dynamic Mechanism Design and the Virtual-Pivot Mechanism," Operations Research, INFORMS, vol. 61(4), pages 837-854, August.
    37. Garrett van Ryzin & Gustavo Vulcano, 2004. "Optimal Auctioning and Ordering in an Infinite Horizon Inventory-Pricing System," Operations Research, INFORMS, vol. 52(3), pages 346-367, June.
    38. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    39. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    40. Simon Stevenson & James Young, 2015. "The probability of sale and price premiums in withdrawn auctioned properties," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 279-297, February.
    41. Ling‐Chieh Kung & Ying‐Ju Chen, 2011. "Monitoring the market or the salesperson? The value of information in a multilayer supply chain," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(8), pages 743-762, December.
    42. Mallesh Pai & Rakesh Vohra, 2008. "Optimal Dynamic Auctions," Discussion Papers 1461, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    43. Yiwei Chen & Vivek F. Farias, 2018. "Robust Dynamic Pricing with Strategic Customers," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1119-1142, November.
    44. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.
    45. Pinker, Edieal & Seidmann, Abraham & Vakrat, Yaniv, 2010. "Using bid data for the management of sequential, multi-unit, online auctions with uniformly distributed bidder valuations," European Journal of Operational Research, Elsevier, vol. 202(2), pages 574-583, April.
    46. Ron Lavi & Ella Segev, 2014. "Efficiency levels in sequential auctions with dynamic arrivals," International Journal of Game Theory, Springer;Game Theory Society, vol. 43(4), pages 791-819, November.
    47. Constantinos Maglaras & Joern Meissner, 2003. "Dynamic Pricing Strategies for Multi-Product Revenue Management Problems," Working Papers MRG/0002, Department of Management Science, Lancaster University, revised Nov 2005.
    48. Kong, Xiang T.R. & He, Zhan & Yu, Kaize & Yan, Pengyu, 2025. "Optimal lot-sizing and service level weighting in sequential multi-attribute global transportation service procurement," European Journal of Operational Research, Elsevier, vol. 327(3), pages 1052-1072.
    49. Jason Kuruzovich & Siva Viswanathan & Ritu Agarwal, 2010. "Seller Search and Market Outcomes in Online Auctions," Management Science, INFORMS, vol. 56(10), pages 1702-1717, October.
    50. Katehakis, Michael N. & Puranam, Kartikeya S., 2012. "On bidding for a fixed number of items in a sequence of auctions," European Journal of Operational Research, Elsevier, vol. 222(1), pages 76-84.
    51. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
    52. Patrick Hummel, 2018. "Reserve prices in repeated auctions," International Journal of Game Theory, Springer;Game Theory Society, vol. 47(1), pages 273-299, March.
    53. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2012. "Auctions for Online Display Advertising Exchanges: Approximations and Design," Working Papers 12-11, NET Institute.
    54. Vibhanshu Abhishek & Mustafa Dogan & Alexandre Jacquillat, 2021. "Strategic Timing and Dynamic Pricing for Online Resource Allocation," Management Science, INFORMS, vol. 67(8), pages 4880-4907, August.
    55. Jérémie Gallien, 2006. "Dynamic Mechanism Design for Online Commerce," Operations Research, INFORMS, vol. 54(2), pages 291-310, April.
    56. Christopher P. Wright & Harry Groenevelt & Robert A. Shumsky, 2010. "Dynamic Revenue Management in Airline Alliances," Transportation Science, INFORMS, vol. 44(1), pages 15-37, February.
    57. Yu Ning & Su Xiu Xu & George Q. Huang & Xudong Lin, 2021. "Optimal digital product auctions with unlimited supply and rebidding behavior," Annals of Operations Research, Springer, vol. 307(1), pages 399-416, December.
    58. Robert Zeithammer, 2007. "Research Note--Strategic Bid-Shading and Sequential Auctioning with Learning from Past Prices," Management Science, INFORMS, vol. 53(9), pages 1510-1519, September.
    59. Sun, Daewon, 2008. "Dual mechanism for an online retailer," European Journal of Operational Research, Elsevier, vol. 187(3), pages 903-921, June.
    60. Alex Gershkov & Benny Moldovanu & Philipp Strack, 2018. "Revenue-Maximizing Mechanisms with Strategic Customers and Unknown, Markovian Demand," Management Science, INFORMS, vol. 64(5), pages 2031-2046, May.
    61. Hoang, Lê Nguyên & Soumis, François & Zaccour, Georges, 2019. "The return function: A new computable perspective on Bayesian–Nash equilibria," European Journal of Operational Research, Elsevier, vol. 279(2), pages 471-485.
    62. Patrick Hummel, 2018. "How do selling mechanisms affect profits, surplus, capacity and prices with unknown demand?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 94-126, February.

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