IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v26y2024i6p2284-2304.html

Queue Configurations and Operational Performance: An Interplay Between Customer Ownership and Queue Length Awareness

Author

Listed:
  • Hummy Song

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Mor Armony

    (Stern School of Business, New York University, New York, New York 10012)

  • Guillaume Roels

    (INSEAD, 77305 Fontainebleau, France)

Abstract

Problem definition : Contrary to traditional queueing theory, recent field studies in B2C services indicate that pooled queues may be less efficient than dedicated queues. Methodology/results : We use two online experiments in the healthcare delivery context to replicate this finding and assess the interplay of servers’ customer ownership and queue length awareness as potential underlying mechanisms. We operationalize customer ownership as the extent to which servers feel ownership toward their customers and queue length awareness as the extent to which servers are able to accurately quantify their number of customers. We find that, following a change in queue configuration, dedicated queues outperform pooled queues with respect to processing speed without sacrificing quality. The reduction in speed is partially mediated by the servers’ queue length awareness and partially suppressed by their ownership of customers in queue. The former is because servers turn out to be less likely to underestimate their load, which makes them work faster. The latter is because ownership of customers in queue may distract servers from the customer in service. When the queue configuration changes from a dedicated to a pooled one, the shorter processing times and higher levels of queue length awareness persist across the change, unlike the higher ownership of customers in the queue. Managerial implications : In discretionary service settings, switching to a dedicated queue is often beneficial in terms of operational performance, partly because the increased queue length awareness motivates servers to work faster; however, the increased degree of customer ownership of those in queue may distract them and result in a slowdown.

Suggested Citation

  • Hummy Song & Mor Armony & Guillaume Roels, 2024. "Queue Configurations and Operational Performance: An Interplay Between Customer Ownership and Queue Length Awareness," Manufacturing & Service Operations Management, INFORMS, vol. 26(6), pages 2284-2304, November.
  • Handle: RePEc:inm:ormsom:v:26:y:2024:i:6:p:2284-2304
    DOI: 10.1287/msom.2023.0202
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2023.0202
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2023.0202?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. Tom Fangyun Tan & Serguei Netessine, 2014. "When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity," Management Science, INFORMS, vol. 60(6), pages 1574-1593, June.
    2. Wenhui Zhou & Dongmei Wang & Weixiang Huang & Pengfei Guo, 2021. "To Pool or Not to Pool? The Effect of Loss Aversion on Queue Configurations," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4258-4272, November.
    3. 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.
    4. Michael H. Rothkopf & Paul Rech, 1987. "Perspectives on Queues: Combining Queues is Not Always Beneficial," Operations Research, INFORMS, vol. 35(6), pages 906-909, December.
    5. Kenneth L. Schultz & David C. Juran & John W. Boudreau & John O. McClain & L. Joseph Thomas, 1998. "Modeling and Worker Motivation in JIT Production Systems," Management Science, INFORMS, vol. 44(12-Part-1), pages 1595-1607, December.
    6. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    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. Nallan C. Suresh & Jack R. Meredith, 1994. "Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems," Management Science, INFORMS, vol. 40(4), pages 466-483, April.
    9. Benjaafar, Saifallah, 1995. "Performance bounds for the effectiveness of pooling in multi-processing systems," European Journal of Operational Research, Elsevier, vol. 87(2), pages 375-388, December.
    10. Ryan W. Buell & Tami Kim & Chia-Jung Tsay, 2017. "Creating Reciprocal Value Through Operational Transparency," Management Science, INFORMS, vol. 63(6), pages 1673-1695, June.
    11. Robert J. Niewoehner & KC Diwas & Bradley Staats, 2023. "Physician Discretion and Patient Pick-up: How Familiarity Encourages Multitasking in the Emergency Department," Operations Research, INFORMS, vol. 71(3), pages 958-978, May.
    12. Oualid Jouini & Yves Dallery & Rabie Nait-Abdallah, 2008. "Analysis of the Impact of Team-Based Organizations in Call Center Management," Management Science, INFORMS, vol. 54(2), pages 400-414, February.
    13. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    14. Ruth Beer & Hyun-Soo Ahn & Stephen Leider, 2018. "Can Trustworthiness in a Supply Chain Be Signaled?," Management Science, INFORMS, vol. 64(9), pages 3974-3994, September.
    15. repec:nas:journl:v:115:y:2018:p:11471-11476 is not listed on IDEAS
    16. Alex Rees-Jones & Samuel Skowronek, 2018. "An Experimental Investigation of Preference Misrepresentation in the Residency Match," Papers 1802.01990, arXiv.org, revised Aug 2018.
    17. Zhongbin Wang & Luyi Yang & Shiliang Cui & Sezer Ülkü & Yong-Pin Zhou, 2023. "Pooling Agents for Customer-Intensive Services," Operations Research, INFORMS, vol. 71(3), pages 860-875, May.
    18. Diwas S. Kc & Christian Terwiesch, 2009. "Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations," Management Science, INFORMS, vol. 55(9), pages 1486-1498, September.
    19. Soroush Saghafian & Wallace J. Hopp & Mark P. Van Oyen & Jeffrey S. Desmond & Steven L. Kronick, 2012. "Patient Streaming as a Mechanism for Improving Responsiveness in Emergency Departments," Operations Research, INFORMS, vol. 60(5), pages 1080-1097, October.
    20. Diwas Singh KC, 2014. "Does Multitasking Improve Performance? Evidence from the Emergency Department," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 168-183, May.
    21. Nur Sunar & Yichen Tu & Serhan Ziya, 2021. "Pooled vs. Dedicated Queues when Customers Are Delay-Sensitive," Management Science, INFORMS, vol. 67(6), pages 3785-3802, June.
    22. Mirko Kremer & Laurens Debo, 2016. "Inferring Quality from Wait Time," Management Science, INFORMS, vol. 62(10), pages 3023-3038, October.
    23. Shiliang Cui & Senthil Veeraraghavan, 2016. "Blind Queues: The Impact of Consumer Beliefs on Revenues and Congestion," Management Science, INFORMS, vol. 62(12), pages 3656-3672, December.
    24. Hummy Song & Anita L. Tucker & Karen L. Murrell, 2015. "The Diseconomies of Queue Pooling: An Empirical Investigation of Emergency Department Length of Stay," Management Science, INFORMS, vol. 61(12), pages 3032-3053, December.
    25. Mor Armony & Guillaume Roels & Hummy Song, 2021. "Pooling Queues with Strategic Servers: The Effects of Customer Ownership," Operations Research, INFORMS, vol. 69(1), pages 13-29, January.
    26. Andrew M. Davis & Blair Flicker & Kyle Hyndman & Elena Katok & Samantha Keppler & Stephen Leider & Xiaoyang Long & Jordan D. Tong, 2023. "A Replication Study of Operations Management Experiments in Management Science," Management Science, INFORMS, vol. 69(9), pages 4977-4991, September.
    27. Gérard P. Cachon & Fuqiang Zhang, 2007. "Obtaining Fast Service in a Queueing System via Performance-Based Allocation of Demand," Management Science, INFORMS, vol. 53(3), pages 408-420, March.
    28. Tim Kraft & León Valdés & Yanchong Zheng, 2018. "Supply Chain Visibility and Social Responsibility: Investigating Consumers’ Behaviors and Motives," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 617-636, October.
    29. Stephen M. Gilbert & Z. Kevin Weng, 1998. "Incentive Effects Favor Nonconsolidating Queues in a Service System: The Principal--Agent Perspective," Management Science, INFORMS, vol. 44(12-Part-1), pages 1662-1669, December.
    30. Song-Hee Kim & Jordan Tong & Carol Peden, 2020. "Admission Control Biases in Hospital Unit Capacity Management: How Occupancy Information Hurdles and Decision Noise Impact Utilization," Management Science, INFORMS, vol. 66(11), pages 5151-5170, November.
    31. Masha Shunko & Julie Niederhoff & Yaroslav Rosokha, 2018. "Humans Are Not Machines: The Behavioral Impact of Queueing Design on Service Time," Management Science, INFORMS, vol. 64(1), pages 453-473, January.
    32. Ehud Kalai & Morton I. Kamien & Michael Rubinovitch, 1992. "Optimal Service Speeds in a Competitive Environment," Management Science, INFORMS, vol. 38(8), pages 1154-1163, August.
    33. Jingqi Wang & Yong-Pin Zhou, 2018. "Impact of Queue Configuration on Service Time: Evidence from a Supermarket," Management Science, INFORMS, vol. 64(7), pages 3055-3075, July.
    34. Andrew M. Davis & Stephen Leider, 2018. "Contracts and Capacity Investment in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 403-421, July.
    35. Paul Joustra & Erik Sluis & Nico Dijk, 2010. "To pool or not to pool in hospitals: a theoretical and practical comparison for a radiotherapy outpatient department," Annals of Operations Research, Springer, vol. 178(1), pages 77-89, July.
    36. 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.
    37. Song-Hee Kim & Jordan Tong, 2024. "Admission Control Bias and Path-Dependent Feedback Under Diagnosis Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 117-136, January.
    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. Zhongbin Wang & Luyi Yang & Shiliang Cui & Sezer Ülkü & Yong-Pin Zhou, 2023. "Pooling Agents for Customer-Intensive Services," Operations Research, INFORMS, vol. 71(3), pages 860-875, May.
    2. Mor Armony & Guillaume Roels & Hummy Song, 2021. "Pooling Queues with Strategic Servers: The Effects of Customer Ownership," Operations Research, INFORMS, vol. 69(1), pages 13-29, January.
    3. Yueyang Zhong & Ragavendran Gopalakrishnan & Amy R. Ward, 2025. "Behavior-Aware Queueing: The Finite-Buffer Setting with Many Strategic Servers," Operations Research, INFORMS, vol. 73(1), pages 290-310, January.
    4. Song, Lina & Saghafian, Soroush, 2019. "Do Hospital Closures Improve the Efficiency and Quality of Other Hospitals?," Working Paper Series rwp19-006, Harvard University, John F. Kennedy School of Government.
    5. Yaroslav Rosokha & Chen Wei, 2024. "Cooperation in Queueing Systems," Management Science, INFORMS, vol. 70(11), pages 7597-7616, November.
    6. Hummy Song & Anita L. Tucker & Karen L. Murrell, 2015. "The Diseconomies of Queue Pooling: An Empirical Investigation of Emergency Department Length of Stay," Management Science, INFORMS, vol. 61(12), pages 3032-3053, December.
    7. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    8. Masha Shunko & Julie Niederhoff & Yaroslav Rosokha, 2018. "Humans Are Not Machines: The Behavioral Impact of Queueing Design on Service Time," Management Science, INFORMS, vol. 64(1), pages 453-473, January.
    9. Wenhui Zhou & Dongmei Wang & Weixiang Huang & Pengfei Guo, 2021. "To Pool or Not to Pool? The Effect of Loss Aversion on Queue Configurations," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4258-4272, November.
    10. Nur Sunar & Yichen Tu & Serhan Ziya, 2021. "Pooled vs. Dedicated Queues when Customers Are Delay-Sensitive," Management Science, INFORMS, vol. 67(6), pages 3785-3802, June.
    11. Jingqi Wang & Yong-Pin Zhou, 2018. "Impact of Queue Configuration on Service Time: Evidence from a Supermarket," Management Science, INFORMS, vol. 64(7), pages 3055-3075, July.
    12. Mohamad Soltani & Robert J. Batt & Hessam Bavafa & Brian W. Patterson, 2022. "Does What Happens in the ED Stay in the ED? The Effects of Emergency Department Physician Workload on Post-ED Care Use," Manufacturing & Service Operations Management, INFORMS, vol. 24(6), pages 3079-3098, November.
    13. Dongyuan Zhan & Amy R. Ward, 2019. "Staffing, Routing, and Payment to Trade off Speed and Quality in Large Service Systems," Operations Research, INFORMS, vol. 67(6), pages 1738-1751, November.
    14. 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.
    15. Robert J. Batt & Christian Terwiesch, 2017. "Early Task Initiation and Other Load-Adaptive Mechanisms in the Emergency Department," Management Science, INFORMS, vol. 63(11), pages 3531-3551, November.
    16. Clare Snyder & Samantha Keppler & Stephen Leider, 2026. "Algorithm Reliance: Fast and Slow," Management Science, INFORMS, vol. 72(1), pages 368-385, January.
    17. Shuai Hao & Zhankun Sun & Yuqian Xu, 2025. "Emergency Care Efficiency vs. Quality: Uncovering Hidden Consequences of Fast-Track Routing Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 75-93, January.
    18. Diwas S. KC & Bradley R. Staats & Maryam Kouchaki & Francesca Gino, 2020. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance," Management Science, INFORMS, vol. 66(10), pages 4397-4416, October.
    19. Arshya Feizi & Anita Carson & Jillian Berry Jaeker & William Evan Baker, 2023. "To Batch or Not to Batch? Impact of Admission Batching on Emergency Department Boarding Time and Physician Productivity," Operations Research, INFORMS, vol. 71(3), pages 939-957, May.
    20. Ahmad M. Ashkanani & Benjamin B. Dunford & Kevin J. Mumford, 2022. "Impact of Motivation and Workload on Service Time Components: An Empirical Analysis of Call Center Operations," Management Science, INFORMS, vol. 68(9), pages 6697-6715, September.

    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:26:y:2024:i:6:p:2284-2304. 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.