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Paying it forward: The influence of other customer service recovery on future co-creation

Author

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  • Kim, Kawon
  • Baker, Melissa A.

Abstract

Although the presence of other customers is an indispensable part of the service consumption experience, there is little work that investigates the role of other customers in the service recovery process and how this affects multiple actors in the service ecosystem. To address these gaps, this research uses a mixed-methods approach. Study 1 qualitatively content analyzes other customers’ participation in the recovery process. Study 2 tests support receiver’s perception and Study 3 examines the support giver’s perception using two 3 (other customer support: emotional, information, no support) × 2 (employee extra role behavior: in-role, extra role) between-subjects experimental designs. The research extends upon the customer interaction and service failure and recovery literature through qualitative and quantitative analysis of how other customers can support the service recovery process and act as a new type of recovery actor, which affects the service recovery evaluation, citizenship behavior, and behavioral intentions toward the firm.

Suggested Citation

  • Kim, Kawon & Baker, Melissa A., 2020. "Paying it forward: The influence of other customer service recovery on future co-creation," Journal of Business Research, Elsevier, vol. 121(C), pages 604-615.
    • Handle: RePEc:eee:jbrese:v:121:y:2020:i:c:p:604-615
    DOI: 10.1016/j.jbusres.2020.03.015
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    References listed on IDEAS

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    1. Jasenko Arsenovic & Bo Edvardsson & Bård Tronvoll, 2019. "Moving Toward Collaborative Service Recovery: A Multiactor Orientation," Service Science, INFORMS, vol. 11(3), pages 201-212, October.
    2. Muniz, Albert M, Jr & O'Guinn, Thomas C, 2001. "Brand Community," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(4), pages 412-432, March.
    3. Jung, Jin Ho & Yoo, Jaewon, 2019. "The effects of deviant customer-oriented behaviors on service friendship: The moderating role of co-production," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 60-69.
    4. Yves Van Vaerenbergh & Simon Hazée & Annelies Costers, 2018. "Customer participation in service recovery: a meta-analysis," Marketing Letters, Springer, vol. 29(4), pages 465-483, December.
    5. Sarkar Sengupta, Aditi & Balaji, M.S. & Krishnan, Balaji C., 2015. "How customers cope with service failure? A study of brand reputation and customer satisfaction," Journal of Business Research, Elsevier, vol. 68(3), pages 665-674.
    6. Gardner, Meryl Paula, 1985. "Mood States and Consumer Behavior: A Critical Review," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 281-300, December.
    7. Sherbourne, Cathy Donald & Stewart, Anita L., 1991. "The MOS social support survey," Social Science & Medicine, Elsevier, vol. 32(6), pages 705-714, January.
    8. Zhu, Dong Hong & Sun, Hui & Chang, Ya Ping, 2016. "Effect of social support on customer satisfaction and citizenship behavior in online brand communities: The moderating role of support source," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 287-293.
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    Cited by:

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