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The Important Role of Time Limits When Consumers Choose Their Time in Service

Author

Listed:
  • Pnina Feldman

    (Questrom School of Business, Boston University, Boston, Massachusetts 02215)

  • Ella Segev

    (Ben Gurion University of the Negev, Be'er Sheva 8410501, Israel)

Abstract

A main challenge that service providers face when managing service systems is how to generate value and regulate congestion at the same time. To this end, classical queueing models suggest managers charge per-use fees and invest in capacity to speed up the service. However, in discretionary services, in which consumers value time in service and choose how long to stay, per-use fees result in suboptimal performance and speeding up does not apply. We study a queueing model of a service provider and rational consumers who are heterogenous in their requirements for service duration. Consumers incur disutility from waiting and choose whether to join and how long to spend in service. We consider time limits as a novel mechanism that may help in controlling congestion. Time limits put a cap on the maximum time that customers can spend in service. We analyze their effectiveness when combined with two price schemes: per-use fees and price rates. Time limits are effective because they reduce time in service and impact waiting times and joining behavior. Revenue maximizing firms and social planners who maximize social welfare benefit from implementing time limits in addition to price rates. Social planners who seek to maximize consumer welfare, however, focus on regulating congestion and should, therefore, offer the service for free but implement time limits if congestion levels are high. The attractiveness of time limits goes further. We show that time limits are not only a useful lever that works well when combined with simple price mechanisms, but they are in fact optimal when congestion is high. Service providers can achieve the first-best outcome and extract all customer surplus by coupling a time limit with an optimal price mechanism. The attractiveness of time limits stems from their ability to reduce not only the average time spent in service, but also its variance. This is highly effective in settings in which customers’ service times impose externalities on others’ waiting times. Thus, we conclude that providers of discretionary services should set time limits when congestion is an issue.

Suggested Citation

  • Pnina Feldman & Ella Segev, 2022. "The Important Role of Time Limits When Consumers Choose Their Time in Service," Management Science, INFORMS, vol. 68(9), pages 6666-6686, September.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:9:p:6666-6686
    DOI: 10.1287/mnsc.2021.4236
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    References listed on IDEAS

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    1. Ramandeep S. Randhawa & Sunil Kumar, 2008. "Usage Restriction and Subscription Services: Operational Benefits with Rational Users," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 429-447, December.
    2. Wallace J. Hopp & Seyed M. R. Iravani & Gigi Y. Yuen, 2007. "Operations Systems with Discretionary Task Completion," Management Science, INFORMS, vol. 53(1), pages 61-77, January.
    3. Albert Y. Ha, 2001. "Optimal Pricing That Coordinates Queues with Customer-Chosen Service Requirements," Management Science, INFORMS, vol. 47(7), pages 915-930, July.
    4. Saed Alizamir & Francis de Véricourt & Peng Sun, 2013. "Diagnostic Accuracy Under Congestion," Management Science, INFORMS, vol. 59(1), pages 157-171, December.
    5. Albert Y. Ha, 1998. "Incentive-Compatible Pricing for a Service Facility with Joint Production and Congestion Externalities," Management Science, INFORMS, vol. 44(12-Part-1), pages 1623-1636, December.
    6. Robert N. Stavins, 2011. "The Problem of the Commons: Still Unsettled after 100 Years," American Economic Review, American Economic Association, vol. 101(1), pages 81-108, February.
    7. Gérard P. Cachon & Pnina Feldman, 2011. "Pricing Services Subject to Congestion: Charge Per-Use Fees or Sell Subscriptions?," Manufacturing & Service Operations Management, INFORMS, vol. 13(2), pages 244-260, June.
    8. Patrick DeGraba, 1995. "Buying Frenzies and Seller-Induced Excess Demand," RAND Journal of Economics, The RAND Corporation, vol. 26(2), pages 331-342, Summer.
    9. Erica L. Plambeck & Qiong Wang, 2013. "Implications of Hyperbolic Discounting for Optimal Pricing and Scheduling of Unpleasant Services That Generate Future Benefits," Management Science, INFORMS, vol. 59(8), pages 1927-1946, August.
    10. Naor, P, 1969. "The Regulation of Queue Size by Levying Tolls," Econometrica, Econometric Society, vol. 37(1), pages 15-24, January.
    11. Ruxian Wang & Maqbool Dada & Ozge Sahin, 2019. "Pricing Ancillary Service Subscriptions," Management Science, INFORMS, vol. 65(10), pages 4712-4732, October.
    12. Jan A. Van Mieghem, 2000. "Price and Service Discrimination in Queuing Systems: Incentive Compatibility of Gc\mu Scheduling," Management Science, INFORMS, vol. 46(9), pages 1249-1267, September.
    13. Yasushi Masuda & Seungjin Whang, 2006. "On the Optimality of Fixed-up-to Tariff for Telecommunications Service," Information Systems Research, INFORMS, vol. 17(3), pages 247-253, September.
    14. Shiliang Cui & Zhongbin Wang & Luyi Yang, 2020. "The Economics of Line-Sitting," Management Science, INFORMS, vol. 66(1), pages 227-242, January.
    15. Gadi Fibich & Roy Klein & Oded Koenigsberg & Eitan Muller, 2017. "Optimal Three-Part Tariff Plans," Operations Research, INFORMS, vol. 65(5), pages 1177-1189, October.
    16. Shiliang Cui & Xuanming Su & Senthil Veeraraghavan, 2019. "A Model of Rational Retrials in Queues," Operations Research, INFORMS, vol. 67(6), pages 1699-1718, November.
    17. Gérard P. P. Cachon & Pnina Feldman, 2017. "Is Advance Selling Desirable with Competition?," Marketing Science, INFORMS, vol. 36(2), pages 214-231, March.
    18. 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.
    19. Krishnan S. Anand & M. Faz{i}l Paç & Senthil Veeraraghavan, 2011. "Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services," Management Science, INFORMS, vol. 57(1), pages 40-56, January.
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