IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v28y2026i2p459-478.html

Experienced and Prospective Wait in Queues: A Behavioral Investigation

Author

Listed:
  • Jing Luo

    (University of Science and Technology Beijing, Beijing 100083, China)

  • León Valdés

    (School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

  • Sera Linardi

    (School of Public and International Affairs, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

Abstract

Problem definition : Rational analysis predicts that the cost of queuing depends on the remaining wait time, but research suggests that other parameters such as queue length, service speed, experienced length, and elapsed wait also matter. However, it is challenging to isolate the distinct contribution of these parameters on a monetarily translatable metric because of uncertainty, missing controls in analyses that may lead to omitted variable bias, and differences in outcome variables across existing studies. Methodology/results : We introduce the use of the Becker-DeGroot-Marschak (BDM) mechanism to elicit queue-completion cost. This incentive-compatible, continuous metric is used in a deterministic, full-information setting that eliminates possible indirect effects to isolate the direct contribution of the above parameters. Contrary to previous literature, we find that completion cost is an additive function of prospective queue length and service time, and not of their interaction—remaining wait time—or experienced queue features. We also show how our data, given alternative specifications that do not control for certain variables, would lead to previous results. Managerial implications : Organizations regularly offer customers paid options to shorten their wait time, present them with alternatives to joining a line, or use incentives to manage congestion. Our study—with 1,163 unique subjects across 31 queue variations—provides them with a granular and monetary metric of completion costs, as well as an understanding of their dependence on queuing factors. In the case of fully informed consumers in visible, deterministic queues, we find that compensation can be determined based on what is ahead instead of what has already occurred. The fact that completion costs are not proportional to waiting time also has implications for the design of queuing systems; for example, people may react more negatively to a fast-long queue than predicted by rational theory.

Suggested Citation

  • Jing Luo & León Valdés & Sera Linardi, 2026. "Experienced and Prospective Wait in Queues: A Behavioral Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 459-478, March.
  • Handle: RePEc:inm:ormsom:v:28:y:2026:i:2:p:459-478
    DOI: 10.1287/msom.2022.0352
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2022.0352
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2022.0352?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ryan W. Buell, 2021. "Last-Place Aversion in Queues," Management Science, INFORMS, vol. 67(3), pages 1430-1452, March.
    2. Burchardi, Konrad B. & de Quidt, Jonathan & Gulesci, Selim & Lerva, Benedetta & Tripodi, Stefano, 2021. "Testing willingness to pay elicitation mechanisms in the field: Evidence from Uganda," Journal of Development Economics, Elsevier, vol. 152(C).
    3. Leclerc, France & Schmitt, Bernd H & Dube, Laurette, 1995. "Waiting Time and Decision Making: Is Time like Money?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 110-119, June.
    4. Naor, P, 1969. "The Regulation of Queue Size by Levying Tolls," Econometrica, Econometric Society, vol. 37(1), pages 15-24, January.
    5. Zeynep Akşin & Barış Ata & Seyed Morteza Emadi & Che-Lin Su, 2013. "Structural Estimation of Callers' Delay Sensitivity in Call Centers," Management Science, INFORMS, vol. 59(12), pages 2727-2746, December.
    6. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    7. Sezer Ülkü & Chris Hydock & Shiliang Cui, 2020. "Making the Wait Worthwhile: Experiments on the Effect of Queueing on Consumption," Management Science, INFORMS, vol. 66(3), pages 1149-1171, March.
    8. Zhou, Rongrong & Soman, Dilip, 2003. "Looking Back: Exploring the Psychology of Queuing and the Effect of the Number of People Behind," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 517-530, March.
    9. Westaby, James D., 2005. "Behavioral reasoning theory: Identifying new linkages underlying intentions and behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 98(2), pages 97-120, November.
    10. Timothy N. Cason & Charles R. Plott, 2014. "Misconceptions and Game Form Recognition: Challenges to Theories of Revealed Preference and Framing," Journal of Political Economy, University of Chicago Press, vol. 122(6), pages 1235-1270.
    11. Robert J. Batt & Christian Terwiesch, 2015. "Waiting Patiently: An Empirical Study of Queue Abandonment in an Emergency Department," Management Science, INFORMS, vol. 61(1), pages 39-59, January.
    12. Palan, Stefan & Schitter, Christian, 2018. "Prolific.ac—A subject pool for online experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 22-27.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sezer Ülkü & Chris Hydock & Shiliang Cui, 2022. "Social Queues (Cues): Impact of Others’ Waiting in Line on One’s Service Time," Management Science, INFORMS, vol. 68(11), pages 7958-7976, November.
    2. Ruijie Zhang & Xiaohua Han & Rowan Wang & Jianghua Zhang & Yinghao Zhang, 2023. "Please don't make me wait! Influence of customers' waiting preference and no‐show behavior on appointment systems," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1597-1616, June.
    3. 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.
    4. Ryan W. Buell, 2017. "Last Place Aversion in Queues," Harvard Business School Working Papers 18-053, Harvard Business School, revised Oct 2019.
    5. Santiago Gallino & Nil Karacaoglu & Antonio Moreno, 2023. "Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail," Operations Research, INFORMS, vol. 71(3), pages 876-894, May.
    6. Sezer Ülkü & Chris Hydock & Shiliang Cui, 2020. "Making the Wait Worthwhile: Experiments on the Effect of Queueing on Consumption," Management Science, INFORMS, vol. 66(3), pages 1149-1171, March.
    7. Simin Li & Martin A. Lariviere & Achal Bassamboo, 2024. "Is Full Price the Full Story When Consumers Have Time and Budget Constraints?," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 370-388, January.
    8. Rouba Ibrahim, 2018. "Sharing delay information in service systems: a literature survey," Queueing Systems: Theory and Applications, Springer, vol. 89(1), pages 49-79, June.
    9. Evgeny Kagan & Kyle Hyndman & Andrew Davis, 2026. "Chasing Tails: How Do People Respond to Wait Time Distributions?," Papers 2602.06263, arXiv.org.
    10. Brett Alan Hathaway & Seyed Morteza Emadi & Vinayak Deshpande, 2022. "Personalized Priority Policies in Call Centers Using Past Customer Interaction Information," Management Science, INFORMS, vol. 68(4), pages 2806-2823, April.
    11. Evgeny Kagan & Brett Hathaway & Maqbool Dada, 2025. "Deploying Chatbots in Customer Service: Adoption Hurdles and Simple Remedies," Papers 2504.06145, arXiv.org.
    12. Zhu, Donghao & Minner, Stefan & Bichler, Martin, 2025. "Pricing policy and queue-length disclosure in on-demand service platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
    13. Kaan Kuzu & Long Gao & Susan H. Xu, 2019. "To Wait or Not to Wait: The Theory and Practice of Ticket Queues," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 853-874, October.
    14. Jiayi Liu & Diwas KC, 2023. "Nudging Patient Choice: Reducing No-Shows Using Waits Framing Messaging," Operations Research, INFORMS, vol. 71(3), pages 1004-1020, May.
    15. Jiayi Liu & Jingui Xie & Kum Khiong Yang & Zhichao Zheng, 2019. "Effects of Rescheduling on Patient No-Show Behavior in Outpatient Clinics," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 780-797, October.
    16. Naumov, Sergey & Oliva, Rogelio, 2025. "Structural feedback and behavioral decision making in queuing systems: A hybrid simulation framework," European Journal of Operational Research, Elsevier, vol. 324(3), pages 855-870.
    17. Carlos Alós-Ferrer & Georg D. Granic, 2023. "Does choice change preferences? An incentivized test of the mere choice effect," Experimental Economics, Springer;Economic Science Association, vol. 26(3), pages 499-521, July.
    18. Bolandifar, Ehsan & DeHoratius, Nicole & Olsen, Tava, 2023. "Modeling abandonment behavior among patients," European Journal of Operational Research, Elsevier, vol. 306(1), pages 243-254.
    19. Andres Musalem & Marcelo Olivares & Ariel Schilkrut, 2021. "Retail in High Definition: Monitoring Customer Assistance Through Video Analytics," Manufacturing & Service Operations Management, INFORMS, vol. 23(5), pages 1025-1042, September.
    20. Jack, B. Kelsey & McDermott, Kathryn & Sautmann, Anja, 2022. "Multiple price lists for willingness to pay elicitation," Journal of Development Economics, Elsevier, vol. 159(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormsom:v:28:y:2026:i:2:p:459-478. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.