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The Effectiveness of Customer Participation and Affective Misforecasting in Online Post-Recovery Satisfaction

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  • Yu Zhang

    (School of Economics and Business Administration, Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400054, China)

  • Bingjia Shao

    (School of Economics and Business Administration, Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400054, China)

Abstract

Online service recovery is directly related to customer follow-up behavior and plays a central role in the sustainable service-oriented enterprise development. This study explored the influence mechanism about how the type of customer participation (physical, mental, and emotional) improves customers’ post-recovery satisfaction by reducing negative bias. Furthermore, the moderating effect of the information format of opening remarks (informal, formal, or hybrid) on the relationship between customer participation and affective misforecasting was investigated. A total of 720 Chinese individuals participated in an online experiment. The results show that, first, only mental and physical participation can improve customers’ post-recovery satisfaction, whereas emotional participation cannot. Second, the direction of affective misforecasting is a mediator between customer participation and post-recovery satisfaction, and compared with negative bias (feeling worse than forecasted), when customers form positive bias (feeling better than forecasted), their post-recovery satisfaction is higher. Third, the fit of the information format of the opening remarks and customer participation type can make customers feel better than forecasted—to generate higher post-recovery satisfaction, for physical and mental participation specifically, the formal format of opening remarks is most suitable, whereas for emotional participation, the hybrid format of opening remarks is most suitable.

Suggested Citation

  • Yu Zhang & Bingjia Shao, 2019. "The Effectiveness of Customer Participation and Affective Misforecasting in Online Post-Recovery Satisfaction," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6968-:d:294999
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    1. Zhu, Zhen & Nakata, Cheryl & Sivakumar, K. & Grewal, Dhruv, 2013. "Fix It or Leave It? Customer Recovery from Self-service Technology Failures," Journal of Retailing, Elsevier, vol. 89(1), pages 15-29.
    2. Gilbert, Daniel T. & Gill, Michael J. & Wilson, Timothy D., 2002. "The Future Is Now: Temporal Correction in Affective Forecasting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(1), pages 430-444, May.
    3. Vanessa M. Patrick & Deborah J. MacInnis & C. Whan Park, 2007. "Not as Happy as I Thought I'd Be? Affective Misforecasting and Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(4), pages 479-489, December.
    4. Gohary, Ali & Hamzelu, Bahman & Alizadeh, Hamid, 2016. "Please explain why it happened! How perceived justice and customer involvement affect post co-recovery evaluations: A study of Iranian online shoppers," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 127-142.
    5. Ashwani Monga & Haipeng (Allan) Chen & Michael Tsiros & Mona Srivastava, 2012. "How buyers forecast: Buyer–seller relationship as a boundary condition of the impact bias," Marketing Letters, Springer, vol. 23(1), pages 31-45, March.
    6. Beibei Dong & K. Sivakumar, 2017. "Customer participation in services: domain, scope, and boundaries," Journal of the Academy of Marketing Science, Springer, vol. 45(6), pages 944-965, November.
    7. Park, Joohyung & Ha, Sejin, 2016. "Co-creation of service recovery: Utilitarian and hedonic value and post-recovery responses," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 310-316.
    8. Maria Pollai & Erik Hoelzl & Flavia Possas, 2010. "Consumption-related emotions over time: Fit between prediction and experience," Marketing Letters, Springer, vol. 21(4), pages 397-411, December.
    9. Gretry, Anaïs & Horváth, Csilla & Belei, Nina & van Riel, Allard C.R., 2017. "“Don't pretend to be my friend!” When an informal brand communication style backfires on social media," Journal of Business Research, Elsevier, vol. 74(C), pages 77-89.
    10. Valentina Sommovigo & Ilaria Setti & Piergiorgio Argentero, 2019. "The Role of Service Providers’ Resilience in Buffering the Negative Impact of Customer Incivility on Service Recovery Performance," Sustainability, MDPI, vol. 11(1), pages 1-22, January.
    11. Rodolfo Vázquez-Casielles & Víctor Iglesias & Concepción Varela-Neira, 2017. "Co-creation and service recovery process communication: effects on satisfaction, repurchase intentions, and word of mouth," Service Business, Springer;Pan-Pacific Business Association, vol. 11(2), pages 321-343, June.
    12. Gohary, Ali & Hamzelu, Bahman & Pourazizi, Lida & Hanzaee, Kambiz Heidarzadeh, 2016. "Understanding effects of co-creation on cognitive, affective and behavioral evaluations in service recovery: An ethnocultural analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 182-198.
    13. Hazée, Simon & Van Vaerenbergh, Yves & Armirotto, Vincent, 2017. "Co-creating service recovery after service failure: The role of brand equity," Journal of Business Research, Elsevier, vol. 74(C), pages 101-109.
    14. Yingzi Xu & Bård Tronvoll & Bo Edvardsson, 2014. "Recovering service failure through resource integration," The Service Industries Journal, Taylor & Francis Journals, vol. 34(16), pages 1253-1271, December.
    15. Iris Vessey & Dennis Galletta, 1991. "Cognitive Fit: An Empirical Study of Information Acquisition," Information Systems Research, INFORMS, vol. 2(1), pages 63-84, March.
    16. Alan R. Dennis & Traci A. Carte, 1998. "Using Geographical Information Systems for Decision Making: Extending Cognitive Fit Theory to Map-Based Presentations," Information Systems Research, INFORMS, vol. 9(2), pages 194-203, June.
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