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Are Reservations Recommended?

Author

Listed:
  • Alexei Alexandrov

    (Simon Graduate School of Business, University of Rochester, Rochester, New York 14627)

  • Martin A. Lariviere

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

We examine the role of reservations in capacity-constrained services with a focus on restaurants. Although customers value reservations, restaurants typically neither charge for them nor impose penalties for failing to keep them. However, reservations impose costs on firms offering them. We offer a novel motivation for offering reservations that emphasizes the way in which reservations can alter customer behavior. We focus on a market in which demand is uncertain and the firm has limited capacity. There is a positive chance that the firm will not have enough capacity to serve all potential customers. Customers are unable to observe how many potential diners are in the market before incurring a cost to request service. Hence, if reservations are not offered, some may choose to stay home rather than risk being denied service. This lowers the firm's sales when realized demand is low. Reservations increase sales on a slow night by guaranteeing reservations holders service. However, some reservation holders may choose not to use their reservations resulting in no-shows. The firm must then trade off higher sales in a soft market with sales lost to no-shows on busy nights. We consequently evaluate various no-show mitigation strategies, all of which serve to make reservations more likely in equilibrium. Competition also makes reservations more attractive; when there are many small firms in the market, reservations are always offered.

Suggested Citation

  • Alexei Alexandrov & Martin A. Lariviere, 2012. "Are Reservations Recommended?," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 218-230, April.
  • Handle: RePEc:inm:ormsom:v:14:y:2012:i:2:p:218-230
    DOI: 10.1287/msom.1110.0360
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    References listed on IDEAS

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    Cited by:

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    5. Yu, Yugang & Liu, Jie & Han, Xiaoya & Chen, Can, 2017. "Optimal decisions for sellers considering valuation bias and strategic consumer reactions," European Journal of Operational Research, Elsevier, vol. 259(2), pages 599-613.
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    7. Debjit Roy & Eirini Spiliotopoulou & Jelle de Vries, 2022. "Restaurant analytics: Emerging practice and research opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3687-3709, October.
    8. Mingzheng Wang & Mengru Ma & Xiaohang Yue & Samar Mukhopadhyay, 2016. "A capacitated firm’s pricing strategies for strategic consumers with different search costs," Annals of Operations Research, Springer, vol. 240(2), pages 731-760, May.
    9. Eren B. Çil & Martin A. Lariviere, 2013. "Saving Seats for Strategic Customers," Operations Research, INFORMS, vol. 61(6), pages 1321-1332, December.
    10. Tunçalp, Feray & Güneş, Evrim D. & Örmeci, E. Lerzan, 2024. "Modeling strategic walk-in patients in appointment systems: Equilibrium behavior and capacity allocation," European Journal of Operational Research, Elsevier, vol. 313(2), pages 587-601.
    11. Shan Wang & Nan Liu & Guohua Wan, 2020. "Managing Appointment-Based Services in the Presence of Walk-in Customers," Management Science, INFORMS, vol. 66(2), pages 667-686, February.
    12. Mustafa O. Kabul & Ali K. Parlaktürk, 2019. "The Value of Commitments When Selling to Strategic Consumers: A Supply Chain Perspective," Management Science, INFORMS, vol. 65(10), pages 4754-4770, October.
    13. Kuthambalayan, Thyagaraj S. & Mehta, Peeyush & Shanker, Kripa, 2015. "Managing product variety with advance selling and capacity restrictions," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 287-296.
    14. 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.
    15. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
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    19. Kuo-Pin Li* & Shieh-Liang Chen & Wen-Hong Chiu & Wen-Cheng Lu, 2019. "Strategies of Reduce Customer’s No-show Probability at Restaurants," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(1), pages 145-152, 01-2019.
    20. Bill J. Gregorash, 2016. "Restaurant revenue management: apply reservation management?," Information Technology & Tourism, Springer, vol. 16(4), pages 331-346, December.

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