IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v65y2019i7p2982-3000.html
   My bibliography  Save this article

Responsive Pricing of Fashion Products: The Effects of Demand Learning and Strategic Consumer Behavior

Author

Listed:
  • Yossi Aviv

    (Faculty of Management, Tel Aviv University, Tel Aviv 6997801, Israel)

  • Mike Mingcheng Wei

    (School of Management, University at Buffalo, Buffalo, New York 14260)

  • Fuqiang Zhang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

This paper studies the potential benefits of responsive pricing and demand learning to sellers of seasonal fashion goods. As typical in such markets, demand uncertainty is high at the beginning of a season, but there is a potential opportunity to learn about demand via early sales observations. Additionally, although the consumers have general preference for purchasing a fashion product earlier rather than later in the season, they may exhibit strategic behavior—contemplating the benefits of postponing their purchase in anticipation of end-of-season discounts. Our results demonstrate that the benefits of responsive pricing, in comparison with a benchmark case of a fixed-price policy, depend sharply on the nature of the consumers’ behavior. Interestingly, in stark contrast to markets of myopic consumers, when the consumers are all strategic, the benefits of responsive pricing tend to worsen when there is a higher potential for learning. We explain this counterintuitive outcome by pointing to two phenomena: the spread effect and information shaping. For example, sellers of fashion products that consider upgrading their pricing systems to incorporate “ accurate response ” strategies (i.e., integrating learning and responsive pricing) should be aware of the possibility that such action might lead them to a new and potentially worse equilibrium, particularly when there is a higher opportunity to learn. Despite the fact that price commitment completely eliminates the seller’s ability to learn, it appears to increasingly dominate responsive pricing as the portion of strategic consumers in the market increases. But, although performing better than responsive pricing, a price-commitment policy is typically limited in performing effective discrimination. Finally, we studied the potential benefits of quick response strategies—ones that embed both dynamic pricing and quick inventory replenishment during the sales season—and found that they are particularly significant under strategic consumer behavior. We explain this result by arguing that quick response provides the seller with a real option that serves as an effective implicit threat to the consumers: encouraging them to buy earlier at premium prices rather than wait for discounts at the end of the season.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:7:p:2982-3000
    DOI: 10.1287/mnsc.2018.3114
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mnsc.2018.3114
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2018.3114?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vivek F. Farias & Benjamin Van Roy, 2010. "Dynamic Pricing with a Prior on Market Response," Operations Research, INFORMS, vol. 58(1), pages 16-29, February.
    2. Qian Liu & Garrett J. van Ryzin, 2008. "Strategic Capacity Rationing to Induce Early Purchases," Management Science, INFORMS, vol. 54(6), pages 1115-1131, June.
    3. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    4. Guoming Lai & Laurens G. Debo & Katia Sycara, 2010. "Erratum to "Buy Now and Match Later: Impact of Posterior Price Matching on Profit with Strategic Consumers"," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 370-370.
    5. Yossi Aviv & Yuri Levin & Mikhail Nediak, 2009. "Counteracting Strategic Consumer Behavior in Dynamic Pricing Systems," International Series in Operations Research & Management Science, in: Christopher S. Tang & Serguei Netessine (ed.), Consumer-Driven Demand and Operations Management Models, edition 1, chapter 0, pages 323-352, Springer.
    6. 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.
    7. Michael Landsberger & Isaac Meilijson, 1985. "Intertemporal Price Discrimination and Sales Strategy under Incomplete Information," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 424-430, Autumn.
    8. Yossi Aviv & Amit Pazgal, 2008. "Optimal Pricing of Seasonal Products in the Presence of Forward-Looking Consumers," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 339-359, December.
    9. Wedad Elmaghraby & Altan Gülcü & P{i}nar Keskinocak, 2008. "Designing Optimal Preannounced Markdowns in the Presence of Rational Customers with Multiunit Demands," Manufacturing & Service Operations Management, INFORMS, vol. 10(1), pages 126-148, June.
    10. Victor F. Araman & René Caldentey, 2009. "Dynamic Pricing for Nonperishable Products with Demand Learning," Operations Research, INFORMS, vol. 57(5), pages 1169-1188, October.
    11. Gérard P. Cachon & Robert Swinney, 2011. "The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior," Management Science, INFORMS, vol. 57(4), pages 778-795, April.
    12. Marshall Fisher & Kumar Rajaram, 2000. "Accurate Retail Testing of Fashion Merchandise: Methodology and Application," Marketing Science, INFORMS, vol. 19(3), pages 266-278, June.
    13. 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.
    14. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    15. Yuri Levin & Jeff McGill & Mikhail Nediak, 2009. "Dynamic Pricing in the Presence of Strategic Consumers and Oligopolistic Competition," Management Science, INFORMS, vol. 55(1), pages 32-46, January.
    16. Jun Li & Nelson Granados & Serguei Netessine, 2014. "Are Consumers Strategic? Structural Estimation from the Air-Travel Industry," Management Science, INFORMS, vol. 60(9), pages 2114-2137, September.
    17. Wedad Elmaghraby & P{i}nar Keskinocak, 2003. "Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions," Management Science, INFORMS, vol. 49(10), pages 1287-1309, October.
    18. Gérard P. Cachon & Robert Swinney, 2009. "Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 55(3), pages 497-511, March.
    19. Xuanming Su, 2007. "Intertemporal Pricing with Strategic Customer Behavior," Management Science, INFORMS, vol. 53(5), pages 726-741, May.
    20. Guoming Lai & Laurens G. Debo & Katia Sycara, 2010. "Buy Now and Match Later: Impact of Posterior Price Matching on Profit with Strategic Consumers," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 33-55, December.
    21. 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.
    22. Yossi Aviv & Amit Pazgal, 2005. "A Partially Observed Markov Decision Process for Dynamic Pricing," Management Science, INFORMS, vol. 51(9), pages 1400-1416, September.
    23. Xuanming Su & Fuqiang Zhang, 2009. "On the Value of Commitment and Availability Guarantees When Selling to Strategic Consumers," Management Science, INFORMS, vol. 55(5), pages 713-726, May.
    24. Coase, Ronald H, 1972. "Durability and Monopoly," Journal of Law and Economics, University of Chicago Press, vol. 15(1), pages 143-149, April.
    25. Omar Besbes & Assaf Zeevi, 2009. "Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms," Operations Research, INFORMS, vol. 57(6), pages 1407-1420, December.
    26. Nancy L. Stokey, 1979. "Intertemporal Price Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(3), pages 355-371.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Qiao & Zaccour, Georges & Zhang, Jianxiong & Tang, Wansheng, 2020. "Strategic pricing under quality signaling and imitation behaviors in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    2. Zhao, Ju & Qiu, Ju & Zhou, Yong-Wu & Hu, Xiao-Jian & Yang, Ai-Feng, 2020. "Quality disclosure in the presence of strategic consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    3. Pang, Chen & Li, Gang & Jiang, Li, 2023. "Leveraging strategic consumer behavior in consumer-to-consumer resale: From economic and environmental perspectives," Omega, Elsevier, vol. 120(C).
    4. Namin, Aidin & Soysal, Gonca P. & Ratchford, Brian T., 2022. "Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers," Journal of Business Research, Elsevier, vol. 145(C), pages 671-681.
    5. Yash Kanoria & Hamid Nazerzadeh, 2021. "Incentive-Compatible Learning of Reserve Prices for Repeated Auctions," Operations Research, INFORMS, vol. 69(2), pages 509-524, March.
    6. Wang, Hua & Dong, Dayong & Guan, Zhenzhong & Bai, Chunguang, 2021. "The impact of quantity commitment with disappointment-averse and elation-seeking consumers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    7. Zhou, Yu & Yan, Shuangqi & Li, Gendao & Xiong, Yu & Lin, Zhibin, 2023. "The impact of consumer skepticism on blockchain-enabled sustainability disclosure in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    8. Zhu, Guowei & Zhang, Jianxiong & Xing, Enfeng & Han, Danke, 2022. "Pricing and quality decisions with conspicuous consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    9. Negin Golrezaei & Hamid Nazerzadeh & Ramandeep Randhawa, 2020. "Dynamic Pricing for Heterogeneous Time-Sensitive Customers," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 562-581, May.
    10. 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).
    11. Yao, Yao & Zhang, Jianxiong & Fan, Xiaoqing, 2022. "Strategic pricing: An anti-encroachment policy of retailer with uncertainty in retail service," European Journal of Operational Research, Elsevier, vol. 302(1), pages 144-157.
    12. Yewon Kim & Pradeep K. Chintagunta & Bhuvanesh Pareek, 2022. "Government Policy, Strategic Consumer Behavior, and Spillovers to Retailers: The Case of Demonetization in India," Marketing Science, INFORMS, vol. 41(6), pages 1118-1144, November.
    13. Li, Guo & Li, Xiaochuan & Zheng, Hong, 2023. "Discount preannouncement in the digital supply chain era," International Journal of Production Economics, Elsevier, vol. 258(C).
    14. Chenxu Ke & Bo Yan & Jingna Ji, 2023. "Pricing new and remanufactured products under patent protection and government intervention," Annals of Operations Research, Springer, vol. 324(1), pages 131-161, May.
    15. Bingsheng Liu & Wenwen Zhu & Yinghua Shen & Yuan Chen & Tao Wang & Fengwen Chen & Maggie Wenjing Liu & Shi‐Hao Zhou, 2022. "A study about return policies in the presence of consumer social learning," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2571-2587, June.
    16. Li, Xin & Lian, Zhaotong & Pang, Chuan, 2020. "Efficient coordination of supply contracts with demand learning and two production modes," International Journal of Production Economics, Elsevier, vol. 225(C).
    17. Ioannis Stamatopoulos & Naveed Chehrazi & Achal Bassamboo, 2019. "Welfare Implications of Inventory-Driven Dynamic Pricing," Management Science, INFORMS, vol. 65(12), pages 5741-5765, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arian Aflaki & Pnina Feldman & Robert Swinney, 2019. "Becoming Strategic: Endogenous Consumer Time Preferences and Multiperiod Pricing," Operations Research, INFORMS, vol. 68(4), pages 1116-1131, 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. 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.
    4. Dong, Junfeng & Wu, Desheng Dash, 2019. "Two-period pricing and quick response with strategic customers," International Journal of Production Economics, Elsevier, vol. 215(C), pages 165-173.
    5. 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.
    6. Ken Moon & Kostas Bimpikis & Haim Mendelson, 2018. "Randomized Markdowns and Online Monitoring," Management Science, INFORMS, vol. 64(3), pages 1271-1290, March.
    7. Cuihong Li & Fuqiang Zhang, 2013. "Advance Demand Information, Price Discrimination, and Preorder Strategies," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 57-71, September.
    8. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    9. 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.
    10. Yiangos Papanastasiou & Nicos Savva, 2017. "Dynamic Pricing in the Presence of Social Learning and Strategic Consumers," Management Science, INFORMS, vol. 63(4), pages 919-939, April.
    11. René Caldentey & Ying Liu & Ilan Lobel, 2017. "Intertemporal Pricing Under Minimax Regret," Operations Research, INFORMS, vol. 65(1), pages 104-129, February.
    12. Yanan Song & Xiaobo Zhao, 2017. "A newsvendor problem with boundedly rational strategic customers," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 228-243, January.
    13. Mehmet Sekip Altug & Tolga Aydinliyim, 2016. "Counteracting Strategic Purchase Deferrals: The Impact of Online Retailers’ Return Policy Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 376-392, July.
    14. Liang, Xiaoying & Ma, Lijun & Xie, Lei & Yan, Houmin, 2014. "The informational aspect of the group-buying mechanism," European Journal of Operational Research, Elsevier, vol. 234(1), pages 331-340.
    15. Dror Hermel & Benny Mantin, 2018. "Selling to strategic consumers: on the benefits of consumers’ valuation uncertainty and abundant inventory," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 146-165, June.
    16. Shining Wu & Qian Liu & Rachel Q. Zhang, 2015. "The Reference Effects on a Retailer’s Dynamic Pricing and Inventory Strategies with Strategic Consumers," Operations Research, INFORMS, vol. 63(6), pages 1320-1335, December.
    17. Nicole Perez Becker & Benny Mantin & Joachim Arts, 2022. "Strategic Behavior in a Serial Newsvendor," DEM Discussion Paper Series 22-02, Department of Economics at the University of Luxembourg.
    18. Du, Jie & Zhang, Juliang & Hua, Guowei, 2015. "Pricing and inventory management in the presence of strategic customers with risk preference and decreasing value," International Journal of Production Economics, Elsevier, vol. 164(C), pages 160-166.
    19. Yiwei Chen & Vivek F. Farias, 2018. "Robust Dynamic Pricing with Strategic Customers," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1119-1142, November.
    20. Chang Hwan Lee & Tsan‐Ming Choi & T.C.E. Cheng, 2015. "Selling to strategic and loss‐averse consumers: Stocking, procurement, and product design policies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(6), pages 435-453, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:65:y:2019:i:7:p:2982-3000. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.