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Research Note: Overselling with Opportunistic Cancellations

Author

Listed:
  • Eyal Biyalogorsky

    (Graduate School of Management, University of California at Davis, Davis, California 95616)

  • Ziv Carmon

    (The Fuqua School of Business, Duke University, Durham, North Carolina 27708-0120)

  • Gila E. Fruchter

    (Technion-Israel Institute of Technology, The William Davidson Faculty of Industrial Engineering and Management, Technion City—Haifa 32000, Israel)

  • Eitan Gerstner

    (University of California at Davis, Graduate School of Management, Davis, California 95616)

Abstract

In many business sectors such as airlines, hotels, trucking, and media advertising, customers' arrivals and willingness to pay are uncertain. Managers must decide whether to quote a price low enough to guarantee early sales, or to quote a higher price and risk that some units remain unsold. In allocating capacity, they face a trade-off between two types of potential losses; (1) —selling at a low price, and losing a better price later, and (2) —waiting in vain to sell at a high price, and losing the opportunity of an earlier low price offer. Yield loss means that consumers who value the product most do not get to use it, and spoilage loss means that valuable products are wasted because no consumers get to use them. Sellers typically hedge against the risk of spoilage loss by selling some units early at low prices, and against the risk of yield loss by blocking some units in hope of selling them later at a high price. In this paper we show that the use of overselling with opportunistic cancellations can increase expected profits and improve allocation efficiency. Under this strategy, the seller deliberately oversells capacity if high-paying consumers show up, even when capacity is already fully booked. The seller then cancels the sale to some low-paying customers while providing them with appropriate compensation. We derive a new rule to optimally allocate capacity to consumers when overselling is used, and show that overselling helps limit the potential yield and spoilage losses. Yield loss is reduced because the seller can capture more high-paying customers by compensating low-paying customers who give up their right to the product. Spoilage loss is reduced because the compensation decreases the price spread perceived by the seller, and as a result, the seller is less anxious to speculate and “block” units. Overselling with opportunistic cancellations assures that the product will be sold to consumers who value it most. This means that “everybody wins”, and resources are allocated more efficiently than in conventional selling.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormksc:v:18:y:1999:i:4:p:605-610
    DOI: 10.1287/mksc.18.4.605
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    References listed on IDEAS

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    Cited by:

    1. Rachel R. Chen & Esther Gal-Or & Paolo Roma, 2014. "Opaque Distribution Channels for Competing Service Providers: Posted Price vs. Name-Your-Own-Price Mechanisms," Operations Research, INFORMS, vol. 62(4), pages 733-750, August.
    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. Tuo Wang & Esther Gal-Or & Rabikar Chatterjee, 2009. "The Name-Your-Own-Price Channel in the Travel Industry: An Analytical Exploration," Management Science, INFORMS, vol. 55(6), pages 968-979, June.
    4. Brett A. Hathaway & Seyed M. Emadi & Vinayak Deshpande, 2021. "Don’t Call Us, We’ll Call You: An Empirical Study of Caller Behavior Under a Callback Option," Management Science, INFORMS, vol. 67(3), pages 1508-1526, March.
    5. Rachel R. Chen & Eitan Gerstner & Yinghui (Catherine) Yang, 2012. "Customer Bill of Rights Under No-Fault Service Failure: Confinement and Compensation," Marketing Science, INFORMS, vol. 31(1), pages 157-171, January.
    6. Jinhong Xie & Eitan Gerstner, 2007. "Service Escape: Profiting from Customer Cancellations," Marketing Science, INFORMS, vol. 26(1), pages 18-30, 01-02.
    7. Scott Fay & Jinhong Xie, 2010. "The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling," Marketing Science, INFORMS, vol. 29(6), pages 1040-1057, 11-12.
    8. Georgiadis, George & Tang, Christopher S., 2014. "Optimal reservation policies and market segmentation," International Journal of Production Economics, Elsevier, vol. 154(C), pages 81-99.
    9. 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.
    10. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
    11. Mesak, Hani I. & Zhang, Hongkai & Pullis, Joe M., 2010. "On optimal service capacity allocation policy in an advance selling environment in continuous time," European Journal of Operational Research, Elsevier, vol. 203(2), pages 505-512, June.
    12. P C Bell, 2008. "Short selling and replaning as tools to enhance revenues," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 313-321, March.
    13. Chua, Geoffrey A. & Lim, Wei Shi & Yeo, Wee Meng, 2016. "Market structure and the value of overselling under stochastic demands," European Journal of Operational Research, Elsevier, vol. 252(3), pages 900-909.
    14. Liang Guo, 2009. "Service Cancellation and Competitive Refund Policy," Marketing Science, INFORMS, vol. 28(5), pages 901-917, 09-10.
    15. Wei Shi Lim, 2009. "Overselling in a Competitive Environment: Boon or Bane?," Marketing Science, INFORMS, vol. 28(6), pages 1129-1143, 11-12.
    16. Moongil Yoon & Habin Lee, 2021. "Seat assignment problem with the payable up-grade as an ancillary service of airlines," Annals of Operations Research, Springer, vol. 307(1), pages 483-497, December.
    17. Ananth V. Iyer & Vinayak Deshpande & Zhengping Wu, 2003. "A Postponement Model for Demand Management," Management Science, INFORMS, vol. 49(8), pages 983-1002, August.

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