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The Effect of Experience Congruity on Repurchase Intention: The Moderating Role of Public Commitment

Author

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  • Sungwoo Choi

    (School of Hospitality Management, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Anna S. Mattila

    (School of Hospitality Management, Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

There is scant research examining the impact of posting reviews on the reviewer. To bridge that gap, we investigate the impact of other consumer online reviews (congruent versus incongruent) on the focal consumer’s repurchase intention, and propose that public commitment (posting a review) moderates the relationship. Our findings indicate that, when posting a review about their positive experience, consumers show similar levels of embarrassment regardless of whether other consumer reviews are congruent or incongruent with their own experience. Conversely, when the consumer doesn’t write a review, other consumers’ incongruent reviews induce feelings of embarrassment, thus diminishing attitude certainty and consequent repurchase intention. Additionally, reviewers felt marginally less embarrassed than nonreviewers when they were exposed to other consumers’ incongruent reviews. Conversely, nonreviewers felt less embarrassment than reviewers when exposed to other consumers’ congruent reviews. However, such an effect is mitigated when the focal consumer’s experience is negative. The study findings demonstrate that embarrassment and attitude certainty are the underlying mechanisms explaining the effects.

Suggested Citation

  • Sungwoo Choi & Anna S. Mattila, 2018. "The Effect of Experience Congruity on Repurchase Intention: The Moderating Role of Public Commitment," Service Science, INFORMS, vol. 10(2), pages 124-138, June.
  • Handle: RePEc:inm:orserv:v:10:y:2018:i:2:p:124-138
    DOI: serv.2017.0203
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    References listed on IDEAS

    as
    1. Jennifer J. Argo & Darren W. Dahl & Rajesh V. Manchanda, 2005. "The Influence of a Mere Social Presence in a Retail Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 207-212, September.
    2. Sarah G. Moore, 2012. "Some Things Are Better Left Unsaid: How Word of Mouth Influences the Storyteller," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(6), pages 1140-1154.
    3. Russell W. Belk, 2013. "Extended Self in a Digital World," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 477-500.
    4. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    5. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    6. Dahl, Darren W & Manchanda, Rajesh V & Argo, Jennifer J, 2001. "Embarrassment in Consumer Purchase: The Roles of Social Presence and Purchase Familiarity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 473-481, December.
    7. Joseph K. Goodman & Gabriele Paolacci, 2017. "Crowdsourcing Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(1), pages 196-210.
    8. Ann E. Schlosser, 2005. "Posting versus Lurking: Communicating in a Multiple Audience Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 260-265, September.
    9. Sengupta, Jaideep & Johar, Gita Venkataramani, 2002. "Effects of Inconsistent Attribute Information on the Predictive Value of Product Attitudes: Toward a Resolution of Opposing Perspectives," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(1), pages 39-56, June.
    10. Adam Duhachek & Shuoyang Zhang & Shanker Krishnan, 2007. "Anticipated Group Interaction: Coping with Valence Asymmetries in Attitude Shift," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 395-405, June.
    11. Sirgy, M Joseph, 1982. "Self-Concept in Consumer Behavior: A Critical Review," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 287-300, December.
    12. Claire I. Tsai & Ann L. McGill, 2011. "No Pain, No Gain? How Fluency and Construal Level Affect Consumer Confidence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 807-821.
    13. Mehdi Mourali & Zhiyong Yang, 2013. "The Dual Role of Power in Resisting Social Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 539-554.
    14. Jonah Berger & Chip Heath, 2007. "Where Consumers Diverge from Others: Identity Signaling and Product Domains," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(2), pages 121-134, June.
    15. Uma R. Karmarkar & Zakary L. Tormala, 2010. "Believe Me, I Have No Idea What I'm Talking About: The Effects of Source Certainty on Consumer Involvement and Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(6), pages 1033-1049, April.
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    Cited by:

    1. Ifie, Kemefasu, 2020. "Excellent Product … But Too Early to Say: Consumer Reactions to Tentative Product Reviews," Journal of Interactive Marketing, Elsevier, vol. 52(C), pages 35-51.

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