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Optimal Advance Selling Strategy under Price Commitment

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  • Chenhang Zeng

Abstract

This paper considers a two-period model with experienced consumers and inexperienced consumers. The retailer determines both advance selling price and regular selling price at the beginning of the first period. I show that advance selling weekly dominates no advance selling, and the optimal advance selling price may be at a discount, at a premium or at the regular selling price. To help the retailer choose the optimal pricing strategy, conditions for each possible advance selling strategy to outperform others are characterized. Furthermore, how the consumer composition affects the retailer¡¯s optimal pricing strategy and profit are examined. In the extension, a special case with no experienced consumers provides a new explanation of advance selling price premium. That is, without experienced consumers, there are no incentives for the retailer to implement advance selling at a premium price. Besides, another special case indicates that advance selling strictly dominates no advance selling when consumer valuation distribution is uncertain. With pre-order information obtained in the first period under advance selling, the retailer is able to know the consumer valuation distribution and thus better forecast the future demand.
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Suggested Citation

  • Chenhang Zeng, 2013. "Optimal Advance Selling Strategy under Price Commitment," Pacific Economic Review, Wiley Blackwell, vol. 18(2), pages 233-258, May.
  • Handle: RePEc:bla:pacecr:v:18:y:2013:i:2:p:233-258
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    File URL: http://hdl.handle.net/10.1111/1468-0106.12021
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    References listed on IDEAS

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    1. 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.
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    10. Leon Yang Chu & Hao Zhang, 2011. "Optimal Preorder Strategy with Endogenous Information Control," Management Science, INFORMS, vol. 57(6), pages 1055-1077, June.
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    Cited by:

    1. Chenhang Zeng, 2020. "Advance selling of new products considering retailers’ learning," International Journal of Economic Theory, The International Society for Economic Theory, vol. 16(3), pages 306-328, September.
    2. repec:umc:wpaper:1303 is not listed on IDEAS
    3. Lu, Danning & Wang, Pengyu, 2024. "Dynamic pricing for new experience products in pre-sale mode with social learning," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    4. Marco Sahm, 2020. "Advance-Purchase Financing of Projects with Few Buyers," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(4), pages 909-933, December.
    5. Yilin Liang & Yuping Hu & Dongjun Luo & Qi Zhu & Qingxuan Chen & Chunmei Wang, 2023. "Distributed Dynamic Pricing Strategy Based on Deep Reinforcement Learning Approach in a Presale Mechanism," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    6. Yurong Pei & Mengying Xie & Qiuling Yang & Yi Liao & Yuping Wu, 2021. "Effect of Consumer Strategic Behavior on Online Presale Strategy," Sustainability, MDPI, vol. 13(19), pages 1-21, October.
    7. Wen Zhang & Weizhe Yang, 2021. "Optimal pre-order strategy with delay in payments," Annals of Operations Research, Springer, vol. 305(1), pages 347-374, October.
    8. Wen Zhang & Yi He, 2020. "Optimal advance selling discount strategy with future‐oriented consumers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 308-320, April.
    9. Sahm, Marco, 2016. "Advance-purchase financing of projects with few buyers," BERG Working Paper Series 118, Bamberg University, Bamberg Economic Research Group.
    10. Senran Lin, 2021. "Buy It Now or Later, or Not: Loss Aversion in Advance Purchasing," Papers 2110.14929, arXiv.org, revised May 2024.
    11. Junshan Lin & Chenhang Zeng, 2023. "Pre-order strategies with demand uncertainty and consumer heterogeneity," The Japanese Economic Review, Springer, vol. 74(1), pages 83-115, January.

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    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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