IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v69y2023i2p865-884.html
   My bibliography  Save this article

Omnichannel Services: The False Premise and Operational Remedies

Author

Listed:
  • Opher Baron

    (Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada)

  • Xiaole Chen

    (School of Business, Sun Yat-sen University, Guangzhou 510275, China)

  • Yang Li

    (Ivey Business School, Western University, London, Ontario N6G 0N1, Canada)

Abstract

The notion of omnichannel, an integration of brick-and-mortar stores with online channels, has been thriving in recent years and is reforming the traditional service industry. Many service chains, such as Starbucks and McDonald’s, established omnichannel capability by allowing customers to order online in advance before visiting stores for pickup. The premise of omnichannel services is that when customers take advantage of the low-cost-of-waiting online channel, both their utility and the provider’s revenue will increase. Although simply adding an online-ordering option to the conventional walk-in model stimulates revenue, it also inflicts interference on the walk-in channel. We show that online ordering inadvertently reduces customers’ individual utility and social welfare when both channels are used in equilibrium. Moreover, the less it costs to order and wait online, the more the social welfare is reduced. We then evaluate two industry state-of-the-art operational remedies: regulating the use of the online channel and establishing channel-dedicated capacities. Although both remedies may improve the throughput over the walk-in-only service or even the first-come-first-served omnichannel service, they are unlikely to achieve this without jeopardizing the social welfare. We thus propose prioritizing walk-in customers and show that such prioritization can deliver this premise—that is, simultaneously benefiting the service provider and customers in comparison with the conventional walk-in-only service when both channels are used in equilibrium. Our results highlight that creating an efficient marketplace requires synergy between innovative technology and effective operational strategies.

Suggested Citation

  • Opher Baron & Xiaole Chen & Yang Li, 2023. "Omnichannel Services: The False Premise and Operational Remedies," Management Science, INFORMS, vol. 69(2), pages 865-884, February.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:2:p:865-884
    DOI: 10.1287/mnsc.2022.4416
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2022.4416
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2022.4416?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. Opher Baron & Oded Berman & Dmitry Krass, 2008. "Facility Location with Stochastic Demand and Constraints on Waiting Time," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 484-505, August.
    2. Luyi Yang & Laurens Debo & Varun Gupta, 2017. "Trading Time in a Congested Environment," Management Science, INFORMS, vol. 63(7), pages 2377-2395, July.
    3. Senthil K. Veeraraghavan & Laurens G. Debo, 2011. "Herding in Queues with Waiting Costs: Rationality and Regret," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 329-346, July.
    4. Fei Gao & Xuanming Su, 2018. "Omnichannel Service Operations with Online and Offline Self-Order Technologies," Management Science, INFORMS, vol. 64(8), pages 3595-3608, August.
    5. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    6. Senthil Veeraraghavan & Laurens Debo, 2009. "Joining Longer Queues: Information Externalities in Queue Choice," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 543-562, April.
    7. Pengfei Guo & Paul Zipkin, 2007. "Analysis and Comparison of Queues with Different Levels of Delay Information," Management Science, INFORMS, vol. 53(6), pages 962-970, June.
    8. Fei Gao & Xuanming Su, 2017. "Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store," Management Science, INFORMS, vol. 63(8), pages 2478-2492, August.
    9. Refael Hassin & Ricky Roet-Green, 2017. "The Impact of Inspection Cost on Equilibrium, Revenue, and Social Welfare in a Single-Server Queue," Operations Research, INFORMS, vol. 65(3), pages 804-820, June.
    10. Luyi Yang & Laurens G. Debo & Varun Gupta, 2019. "Search Among Queues Under Quality Differentiation," Management Science, INFORMS, vol. 65(8), pages 3605-3623, August.
    11. Hassin, Refael, 1986. "Consumer Information in Markets with Random Product Quality: The Case of Queues and Balking," Econometrica, Econometric Society, vol. 54(5), pages 1185-1195, September.
    12. Ming Hu & Yang Li & Jianfu Wang, 2018. "Efficient Ignorance: Information Heterogeneity in a Queue," Management Science, INFORMS, vol. 64(6), pages 2650-2671, June.
    13. Edelson, Noel M & Hildebrand, David K, 1975. "Congestion Tolls for Poisson Queuing Processes," Econometrica, Econometric Society, vol. 43(1), pages 81-92, January.
    14. Naor, P, 1969. "The Regulation of Queue Size by Levying Tolls," Econometrica, Econometric Society, vol. 37(1), pages 15-24, January.
    15. Shiliang Cui & Zhongbin Wang & Luyi Yang, 2020. "The Economics of Line-Sitting," Management Science, INFORMS, vol. 66(1), pages 227-242, January.
    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.
    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. Dimitrios Logothetis & Antonis Economou, 2023. "The impact of information on transportation systems with strategic customers," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2189-2206, July.
    2. Jianfu Wang & Ming Hu, 2020. "Efficient Inaccuracy: User-Generated Information Sharing in a Queue," Management Science, INFORMS, vol. 66(10), pages 4648-4666, October.
    3. Pengfei Guo & Moshe Haviv & Zhenwei Luo & Yulan Wang, 2022. "Optimal queue length information disclosure when service quality is uncertain," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 1912-1927, May.
    4. Ming Hu & Yang Li & Jianfu Wang, 2018. "Efficient Ignorance: Information Heterogeneity in a Queue," Management Science, INFORMS, vol. 64(6), pages 2650-2671, June.
    5. Czerny, Achim I. & Guo, Pengfei & Hassin, Refael, 2022. "Shall firms withhold exact waiting time information from their customers? A transport example," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 128-142.
    6. 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.
    7. Shiliang Cui & Zhongbin Wang & Luyi Yang, 2020. "The Economics of Line-Sitting," Management Science, INFORMS, vol. 66(1), pages 227-242, January.
    8. Hassin, Refael & Roet-Green, Ricky, 2018. "Cascade equilibrium strategies in a two-server queueing system with inspection cost," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1014-1026.
    9. Zhao, Chen & Wang, Zhongbin, 2023. "The impact of line-sitting on a two-server queueing system," European Journal of Operational Research, Elsevier, vol. 308(2), pages 782-800.
    10. Tesnim Naceur & Yezekael Hayel, 2020. "Deterministic state-based information disclosure policies and social welfare maximization in strategic queueing systems," Queueing Systems: Theory and Applications, Springer, vol. 96(3), pages 303-328, December.
    11. Caner Canyakmaz & Tamer Boyaci, 2018. "Queueing systems with rationally inattentive customers," ESMT Research Working Papers ESMT-18-04_R1, ESMT European School of Management and Technology, revised 01 Oct 2020.
    12. Opher Baron & Antonis Economou & Athanasia Manou, 2022. "Increasing social welfare with delays: Strategic customers in the M/G/1 orbit queue," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2907-2924, July.
    13. David Lingenbrink & Krishnamurthy Iyer, 2019. "Optimal Signaling Mechanisms in Unobservable Queues," Operations Research, INFORMS, vol. 67(5), pages 1397-1416, September.
    14. 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.
    15. Caner Canyakmaz & Tamer Boyaci, 2018. "Opaque queues: Service systems with rationally inattentive customers," ESMT Research Working Papers ESMT-18-04, ESMT European School of Management and Technology.
    16. Zhongbin Wang & Yunan Liu & Lei Fang, 2022. "Pay to activate service in vacation queues," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2609-2627, June.
    17. Zhongbin Wang & Jinting Wang, 2019. "Information heterogeneity in a retrial queue: throughput and social welfare maximization," Queueing Systems: Theory and Applications, Springer, vol. 92(1), pages 131-172, June.
    18. Jiaqi Zhou & Ilya O. Ryzhov, 2021. "Equilibrium analysis of observable express service with customer choice," Queueing Systems: Theory and Applications, Springer, vol. 99(3), pages 243-281, December.
    19. Qiuping Yu & Gad Allon & Achal Bassamboo & Seyed Iravani, 2018. "Managing Customer Expectations and Priorities in Service Systems," Management Science, INFORMS, vol. 64(8), pages 3942-3970, August.
    20. Manlu Chen & Ming Hu & Jianfu Wang, 2022. "Food Delivery Service and Restaurant: Friend or Foe?," Management Science, INFORMS, vol. 68(9), pages 6539-6551, September.

    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:ormnsc:v:69:y:2023:i:2:p:865-884. 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.