IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v67y2021i3p1718-1736.html
   My bibliography  Save this article

Service Design for a Holistic Customer Experience: A Process Framework

Author

Listed:
  • Ioannis Bellos

    (School of Business, George Mason University, Fairfax, Virginia 22030)

  • Stylianos Kavadias

    (Judge Business School, University of Cambridge, Cambridge CB2 1AG, United Kingdom)

Abstract

Modern service design practices conceptualize services as multistep processes. At each step, customers derive an uncertain value, which depends on a functional benefit and a subjective experience. The latter may depend on experiences realized at previous steps. Service designs determine the provider effort at each step given that customers prefer less-variable experiences, and enable a holistic perspective of the overall experience. We quantify two factors that shape service designs: the type of steps ((i) routine steps, where effort increases the functional benefit and decreases the experience variability, and (ii) nonroutine steps, where effort increases the functional benefit at the expense of higher variability) and a holistic coupling factor (at each step, the design is determined not only by experience realizations at predecessor steps but also by how it can shape subsequent experiences). The optimal efforts depend on the combination of these two factors, giving rise to actionable design rules. For a positive coupling factor, step type homogeneity leads to “spread the effort” designs (complementary efforts), whereas a negative coupling factor suggests focusing the effort on a few key steps at the expense of the rest of the service (substitutable efforts). Step type heterogeneity reverses these recommendations. Moreover, when the customer experience unfolds according to a nonstationary process with serial correlation, the effort at each step is determined by an impact zone defined by the steps surrounding the focal service step. Stronger correlation always induces higher effort, whereas weaker correlation may induce less effort in services with heterogeneous step types. This paper was accepted by Serguei Netessine, operations management.

Suggested Citation

  • Ioannis Bellos & Stylianos Kavadias, 2021. "Service Design for a Holistic Customer Experience: A Process Framework," Management Science, INFORMS, vol. 67(3), pages 1718-1736, March.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:3:p:1718-1736
    DOI: 10.1287/mnsc.2020.3609
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mnsc.2020.3609
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2020.3609?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. Ziv Carmon & J. George Shanthikumar & Tali F. Carmon, 1995. "A Psychological Perspective on Service Segmentation Models: The Significance of Accounting for Consumers' Perceptions of Waiting and Service," Management Science, INFORMS, vol. 41(11), pages 1806-1815, November.
    2. Michael J. Dixon & Gary M. Thompson, 2016. "Bundling and Scheduling Service Packages with Customer Behavior: Model and Heuristic," Production and Operations Management, Production and Operations Management Society, vol. 25(1), pages 36-55, January.
    3. Manel Baucells & Rakesh K. Sarin, 2010. "Predicting Utility Under Satiation and Habit Formation," Management Science, INFORMS, vol. 56(2), pages 286-301, February.
    4. Chunyang Tong & Mahesh Nagarajan & Yuan Cheng, 2016. "Operational Impact of Service Innovations in Multi-Step Service Systems," Production and Operations Management, Production and Operations Management Society, vol. 25(5), pages 833-848, May.
    5. Mei Xue & Patrick T. Harker, 2003. "Service Co-Production, Customer Efficiency and Market Competition," Center for Financial Institutions Working Papers 03-03, Wharton School Center for Financial Institutions, University of Pennsylvania.
    6. Ioannis Bellos & Stylianos Kavadias, 2019. "When Should Customers Control Service Delivery? Implications for Service Design," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 890-907, April.
    7. Richard B. Chase, 1981. "The Customer Contact Approach to Services: Theoretical Bases and Practical Extensions," Operations Research, INFORMS, vol. 29(4), pages 698-706, August.
    8. Roland T. Rust & J. Jeffrey Inman & Jianmin Jia & Anthony Zahorik, 1999. "What You Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions," Marketing Science, INFORMS, vol. 18(1), pages 77-92.
    9. Guillaume Roels & Uday S. Karmarkar & Scott Carr, 2010. "Contracting for Collaborative Services," Management Science, INFORMS, vol. 56(5), pages 849-863, May.
    10. Aparupa Das Gupta & Uday S. Karmarkar & Guillaume Roels, 2016. "The Design of Experiential Services with Acclimation and Memory Decay: Optimal Sequence and Duration," Management Science, INFORMS, vol. 62(5), pages 1278-1296, May.
    11. Ariely, Dan & Zauberman, Gal, 2003. "Differential partitioning of extended experiences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(2), pages 128-139, July.
    12. Guillaume Roels, 2014. "Optimal Design of Coproductive Services: Interaction and Work Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 578-594, October.
    13. Tom Fangyun Tan & Serguei Netessine, 2019. "When You Work with a Superman, Will You Also Fly? An Empirical Study of the Impact of Coworkers on Performance," Management Science, INFORMS, vol. 65(8), pages 3495-3517, August.
    14. Michael J. Dixon & Liana Victorino & Robert J. Kwortnik & Rohit Verma, 2017. "Surprise, Anticipation, and Sequence Effects in the Design of Experiential Services," Production and Operations Management, Production and Operations Management Society, vol. 26(5), pages 945-960, May.
    15. Victor Martínez-de-Albéniz & Ana Valdivia, 2019. "Measuring and Exploiting the Impact of Exhibition Scheduling on Museum Attendance," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 761-779, October.
    16. Uday S. Karmarkar & Richard C. Pitbladdo, 1997. "Quality, Class, and Competition," Management Science, INFORMS, vol. 43(1), pages 27-39, January.
    17. Gabriel R. Bitran & Juan-Carlos Ferrer & Paulo Rocha e Oliveira, 2008. "OM Forum--Managing Customer Experiences: Perspectives on the Temporal Aspects of Service Encounters," Manufacturing & Service Operations Management, INFORMS, vol. 10(1), pages 61-83, July.
    18. Andreas C. Soteriou & Richard B. Chase, 2000. "A Robust Optimization Approach for Improving Service Quality," Manufacturing & Service Operations Management, INFORMS, vol. 2(3), pages 264-286, May.
    19. Sang-Hyun Kim & Morris A. Cohen & Serguei Netessine, 2007. "Performance Contracting in After-Sales Service Supply Chains," Management Science, INFORMS, vol. 53(12), pages 1843-1858, December.
    20. Manel Baucells & Rakesh K. Sarin, 2007. "Satiation in Discounted Utility," Operations Research, INFORMS, vol. 55(1), pages 170-181, February.
    21. Jeffrey Ely & Alexander Frankel & Emir Kamenica, 2015. "Suspense and Surprise," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 215-260.
    22. S. Sriram & Pradeep K. Chintagunta & Puneet Manchanda, 2015. "Service Quality Variability and Termination Behavior," Management Science, INFORMS, vol. 61(11), pages 2739-2759, November.
    23. White, Sheneeta W. & Badinelli, Ralph D., 2012. "A model for efficiency-based resource integration in services," European Journal of Operational Research, Elsevier, vol. 217(2), pages 439-447.
    24. Levy, H & Markowtiz, H M, 1979. "Approximating Expected Utility by a Function of Mean and Variance," American Economic Review, American Economic Association, vol. 69(3), pages 308-317, June.
    25. Ulrich, Karl, 1995. "The role of product architecture in the manufacturing firm," Research Policy, Elsevier, vol. 24(3), pages 419-440, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiang Li & Shu Zhou & Guojun Ji & Weina Shi, 2022. "Optimal Return Freight Insurance Policies in a Competitive Environment," Sustainability, MDPI, vol. 14(18), pages 1-38, September.

    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. Aparupa Das Gupta & Uday S. Karmarkar & Guillaume Roels, 2016. "The Design of Experiential Services with Acclimation and Memory Decay: Optimal Sequence and Duration," Management Science, INFORMS, vol. 62(5), pages 1278-1296, May.
    2. Manel Baucells & Lin Zhao, 2020. "Everything in Moderation: Foundations and Applications of the Satiation Model," Management Science, INFORMS, vol. 66(12), pages 5701-5719, December.
    3. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    4. Uday Karmarkar, 2015. "OM Forum—The Service and Information Economy: Research Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 136-141, May.
    5. Guillaume Roels, 2014. "Optimal Design of Coproductive Services: Interaction and Work Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 578-594, October.
    6. Sivakumar, S. & Mahadevan, B., 2021. "Configuring and pricing smart coproductive services," European Journal of Operational Research, Elsevier, vol. 294(2), pages 779-789.
    7. Ioannis Bellos & Stylianos Kavadias, 2019. "When Should Customers Control Service Delivery? Implications for Service Design," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 890-907, April.
    8. Ma, Lijun & Yang, Fanjie & Lin, Meiyan & Xue, Weili, 2024. "Pricing and quality decisions for standardized and collaborative services in a home health care service platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    9. Ryan W. Buell & Michael I. Norton, 2011. "The Labor Illusion: How Operational Transparency Increases Perceived Value," Management Science, INFORMS, vol. 57(9), pages 1564-1579, February.
    10. Morvarid Rahmani & Luyi Gui & Atalay Atasu, 2021. "The Implications of Recycling Technology Choice on Extended Producer Responsibility," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 522-542, February.
    11. repec:cup:judgdm:v:16:y:2021:i:6:p:1324-1369 is not listed on IDEAS
    12. Shubham Gupta & Abhishek Roy & Subodha Kumar & Ram Mudambi, 2023. "When Worse Is Better: Strategic Choice of Vendors with Differentiated Capabilities in a Complex Cocreation Environment," Management Science, INFORMS, vol. 69(5), pages 2833-2851, May.
    13. Qin, Xuwei & Shao, Lusheng & Jiang, Zhong-Zhong, 2020. "Contract design for equipment after-sales service with business interruption insurance," European Journal of Operational Research, Elsevier, vol. 284(1), pages 176-187.
    14. Junyi Chai, 2021. "Measuring happiness under interpersonal comparison: An advanced theoretical framework and implications," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    15. Guillaume Roels, 2020. "High-Performance Practice Processes," Management Science, INFORMS, vol. 66(4), pages 1509-1526, April.
    16. Robert Suurmond & Larry J. Menor & Finn Wynstra, 2022. "Examining service triad operations: Formation, functioning, and feedback exchanges," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3352-3370, August.
    17. Korkeamäki, Lauri & Kohtamäki, Marko & Parida, Vinit, 2021. "Worth the risk? The profit impact of outcome-based service offerings for manufacturing firms," Journal of Business Research, Elsevier, vol. 131(C), pages 92-102.
    18. Stylianos Kavadias & Karl T. Ulrich, 2020. "Innovation and New Product Development: Reflections and Insights from the Research Published in the First 20 Years of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 84-92, January.
    19. Cuihong Li, 2013. "Sourcing for Supplier Effort and Competition: Design of the Supply Base and Pricing Mechanism," Management Science, INFORMS, vol. 59(6), pages 1389-1406, June.
    20. Nitish Jain & Sameer Hasija & Dana G. Popescu, 2013. "Optimal Contracts for Outsourcing of Repair and Restoration Services," Operations Research, INFORMS, vol. 61(6), pages 1295-1311, December.
    21. Morgan Swink & Kejia Hu & Xiande Zhao, 2022. "Analytics applications, limitations, and opportunities in restaurant supply chains," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3710-3726, October.

    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:67:y:2021:i:3:p:1718-1736. 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.