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Reservations: Customer Insurance in the Marketing of Capacity

Author

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  • I. P. L. Png

    (University of California, Los Angeles)

Abstract

This paper develops a simple model of pricing and choice of capacity in a market where risk-averse customers are uncertain about their valuation for use of the capacity. As unused capacity has no salvage value, the seller maximizes profit by economizing on capacity through over-booking. Thus each customer faces both uncertainty in his own valuation as well as uncertainty about availability of capacity. Because he is risk-averse, the customer seeks insurance. Provision of insurance is complicated because each customer's realized valuation is private information. Since the seller does not know each customer's type, she must elicit the information. The most profitable pricing strategy takes the form of a reservation that induces each customer to act according to his private information: those with high valuation for use of the capacity exercise while those with lower valuation do not exercise. In this way, the reservation provides partial insurance against the customer's uncertainty in valuation (privately observed contingency) and full insurance against unavailability of capacity (observable by both seller and customer).

Suggested Citation

  • I. P. L. Png, 1989. "Reservations: Customer Insurance in the Marketing of Capacity," Marketing Science, INFORMS, vol. 8(3), pages 248-264.
  • Handle: RePEc:inm:ormksc:v:8:y:1989:i:3:p:248-264
    DOI: 10.1287/mksc.8.3.248
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    Cited by:

    1. 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.
    2. Ignatius Horstmann & Sridhar Moorthy, 2003. "Advertising Spending and Quality for Services: The Role of Capacity," Quantitative Marketing and Economics (QME), Springer, vol. 1(3), pages 337-365, September.
    3. Lee, Khai Sheang & Ng, Irene C. L., 2001. "Advanced sale of service capacities: a theoretical analysis of the impact of price sensitivity on pricing and capacity allocations," Journal of Business Research, Elsevier, vol. 54(3), pages 219-225, December.
    4. Eyal Biyalogorsky & Ziv Carmon & Gila E. Fruchter & Eitan Gerstner, 1999. "Research Note: Overselling with Opportunistic Cancellations," Marketing Science, INFORMS, vol. 18(4), pages 605-610.
    5. Mingyu Joo & Dinesh K. Gauri & Kenneth C. Wilbur, 2020. "Temporal Distance and Price Responsiveness: Empirical Investigation of the Cruise Industry," Management Science, INFORMS, vol. 66(11), pages 5362-5388, November.
    6. Roland T. Rust & Tuck Siong Chung, 2006. "Marketing Models of Service and Relationships," Marketing Science, INFORMS, vol. 25(6), pages 560-580, 11-12.
    7. Eyal Biyalogorsky & Eitan Gerstner, 2004. "Contingent Pricing to Reduce Price Risks," Marketing Science, INFORMS, vol. 23(1), pages 146-155, March.
    8. 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.
    9. Cirillo, Cinzia & Bastin, Fabian & Hetrakul, Pratt, 2018. "Dynamic discrete choice model for railway ticket cancellation and exchange decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 137-146.
    10. ChihChien Chen, 2016. "Cancellation policies in the hotel, airline and restaurant industries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 270-275, July.
    11. I. P. L. Png & Hao Wang, 2010. "Buyer Uncertainty and Two-Part Pricing: Theory and Applications," Management Science, INFORMS, vol. 56(2), pages 334-342, February.
    12. Jinhong Xie & Eitan Gerstner, 2007. "Service Escape: Profiting from Customer Cancellations," Marketing Science, INFORMS, vol. 26(1), pages 18-30, 01-02.
    13. Xuanming Su, 2010. "Optimal Pricing with Speculators and Strategic Consumers," Management Science, INFORMS, vol. 56(1), pages 25-40, January.
    14. Jinhong Xie & Steven M. Shugan, 2001. "Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell," Marketing Science, INFORMS, vol. 20(3), pages 219-243, June.
    15. Alexei Alexandrov & Martin A. Lariviere, 2012. "Are Reservations Recommended?," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 218-230, April.
    16. Liang Guo, 2009. "Service Cancellation and Competitive Refund Policy," Marketing Science, INFORMS, vol. 28(5), pages 901-917, 09-10.
    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. Guillermo Gallego & Özge Şahin, 2010. "Revenue Management with Partially Refundable Fares," Operations Research, INFORMS, vol. 58(4-part-1), pages 817-833, August.
    19. Li, Michael Z. F., 2005. "Pricing non-storable perishable goods by using a purchase restriction: General optimality results," European Journal of Operational Research, Elsevier, vol. 161(3), pages 838-853, March.
    20. Wei Shi Lim, 2009. "Overselling in a Competitive Environment: Boon or Bane?," Marketing Science, INFORMS, vol. 28(6), pages 1129-1143, 11-12.
    21. Gérard P. P. Cachon & Pnina Feldman, 2017. "Is Advance Selling Desirable with Competition?," Marketing Science, INFORMS, vol. 36(2), pages 214-231, March.

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    Keywords

    capacity; insurance; pricing;
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