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Optimal Preorder Strategy with Endogenous Information Control

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  • Leon Yang Chu

    (Marshall School of Business, University of Southern California, Los Angeles, California 90089)

  • Hao Zhang

    (Marshall School of Business, University of Southern California, Los Angeles, California 90089)

Abstract

In this paper, we investigate the integrated information and pricing strategy for a seller who can take customer preorders before the release of a product. The preorder option enables the seller to sell a product at an early stage when consumers are less certain about their valuations. We find that the optimal pricing strategy may be highly dependent on the amount of information available at preorder and that a small change in the latter may cause a dramatic change in the proportion of consumers who preorder under optimal pricing. Furthermore, the seller's optimal information strategy depends on a key measure, the normalized margin, which is the ratio between the expected profit margin and the standard deviation of consumer valuation. Although the seller may want to release some information or none, she should never release all information. Finally, under the optimal information and pricing strategy, the benefit of preorder is most pronounced when the normalized margin is in a medium range. This paper was accepted by Martin Lariviere, operations management.

Suggested Citation

  • Leon Yang Chu & Hao Zhang, 2011. "Optimal Preorder Strategy with Endogenous Information Control," Management Science, INFORMS, vol. 57(6), pages 1055-1077, June.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:6:p:1055-1077
    DOI: 10.1287/mnsc.1110.1335
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    References listed on IDEAS

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    Cited by:

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    2. Oksana Loginova, 2021. "Advance selling, competition, and brand substitutability," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1765-1781, October.
    3. Lian, Zhaotong & Gu, Xinhua & Wu, Jinbiao, 2016. "A re-examination of experience service offering and regular service pricing under profit maximization," European Journal of Operational Research, Elsevier, vol. 254(3), pages 907-915.
    4. Dan Wu & Xinxin Lu, 2023. "Optimal Return Policy of Competitive Retailers’ Pre-Sale Products Based on Strategic Consumer Behavior," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    5. Jun, Sung Youl & Kim, Kyung Ho & Park, Hye Kyung, 2019. "The effect of the preorder strategy on consumers' product choice: The moderating role of product experience and payment timing," Journal of Business Research, Elsevier, vol. 99(C), pages 80-86.
    6. Gilles Chemla & Katrin Tinn, 2020. "Learning Through Crowdfunding," Management Science, INFORMS, vol. 66(5), pages 1783-1801, May.
    7. Oksana Loginova, 2013. "Pricing Strategies in Advance Selling: Should a Retailer Offer a Pre-order Price Guarantee?," Working Papers 2016-02, Department of Economics, University of Missouri, revised Feb 2016.
    8. 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.
    9. Mukherjee, Amaradri & Jha, Subhash & Smith, Ronn J., 2017. "Regular Price $299; Pre-order Price $199: Price Promotion for a Pre-ordered Product and the Moderating Role of Temporal Orientation," Journal of Retailing, Elsevier, vol. 93(2), pages 201-211.
    10. Chenhang Zeng, 2013. "Optimal Advance Selling Strategy under Price Commitment," Pacific Economic Review, Wiley Blackwell, vol. 18(2), pages 233-258, May.
    11. Zhou, Wenhui & Lian, Zhaotong & Wu, Jinbiao, 2014. "When should service firms provide free experience service?," European Journal of Operational Research, Elsevier, vol. 234(3), pages 830-838.
    12. 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.
    13. 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.
    14. Mei, Wanxia & Du, Li & Niu, Baozhuang & Wang, Jincheng & Feng, Jiejian, 2016. "The effects of an undisclosed regular price and a positive leadtime in a presale mechanism," European Journal of Operational Research, Elsevier, vol. 250(3), pages 1013-1025.
    15. Amaradri Mukherjee & Ronn J. Smith & Scot Burton, 2023. "The effect of positive anticipatory utility on product pre‑order evaluations and choices," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 551-569, May.
    16. Gérard P. Cachon, 2020. "A Research Framework for Business Models: What Is Common Among Fast Fashion, E-Tailing, and Ride Sharing?," Management Science, INFORMS, vol. 66(3), pages 1172-1192, March.
    17. Man Yu & Hyun-Soo Ahn & Roman Kapuscinski, 2015. "Rationing Capacity in Advance Selling to Signal Quality," Management Science, INFORMS, vol. 61(3), pages 560-577, March.
    18. Zhang, Tao & Li, Gang & Lai, Kin Keung & Leung, John W.K., 2018. "Information disclosure strategies for the intermediary and competitive sellers," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1156-1173.
    19. 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.
    20. Jinxian Quan & Sung-Won Cho, 2021. "Optimal Ordering Policy for Retailers with Bayesian Information Updating in a Presale System," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

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