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Social Acceptance and Word of Mouth: How the Motive to Belong Leads to Divergent WOM with Strangers and Friends

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  • Zoey Chen

Abstract

Consumers are increasingly sharing product experiences with strangers and friends online. Despite the prevalence of word of mouth (WOM), little is known about how and why WOM differs based on whether people are talking to strangers or friends. The current article theorizes that one important motivation for WOM is social acceptance. To fulfill this motivation, people form and maintain existing relationships with others. Building on research in interpersonal relationships, we theorize that when communicating with strangers, people attempt to self-enhance to attract strangers into forming relationships with the self; when sharing with friends, on the other hand, people attempt to connect emotionally in order to maintain existing ties. A series of seven studies provide backing for this simple yet encompassing framework. Results of the current article provide insights into the motivations behind WOM, synthesize prior findings, and show that people systematically share different content with strangers versus friends. The current work makes theoretical contributions to research in interpersonal communication, social influence, and WOM, and holds practical implications for marketers interested in understanding consumer word of mouth.

Suggested Citation

  • Zoey Chen, 2017. "Social Acceptance and Word of Mouth: How the Motive to Belong Leads to Divergent WOM with Strangers and Friends," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 613-632.
  • Handle: RePEc:oup:jconrs:v:44:y:2017:i:3:p:613-632.
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    File URL: http://hdl.handle.net/10.1093/jcr/ucx055
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    Citations

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    Cited by:

    1. Hsieh, Jung-Kuei, 2020. "The effects of transforming mobile services into mobile promotions," Journal of Business Research, Elsevier, vol. 121(C), pages 195-208.
    2. Diptiman Banerji & Ramendra Singh & Prashant Mishra, 2020. "Friendships in marketing: a taxonomy and future research directions," AMS Review, Springer;Academy of Marketing Science, vol. 10(3), pages 223-243, December.
    3. Jonah Berger & Matthew D Rocklage & Grant Packard, 2022. "Expression Modalities: How Speaking Versus Writing Shapes Word of Mouth [Affective and Semantic Components in Political Person Perception]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(3), pages 389-408.
    4. Ioana Marinescu & Nadav Klein & Andrew Chamberlain & Morgan Smart, 2018. "Incentives Can Reduce Bias in Online Reviews," NBER Working Papers 24372, National Bureau of Economic Research, Inc.
    5. Zhang, Min & Li, Yuzhuo & Gu, Rongjie & Luo, Cheng, 2021. "What type of purchase do you prefer to share on social networking sites: Experiential or material?," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    6. Mengran Xu & Rebecca Walker Reczek & Richard E. Petty, 2023. "Need to evaluate as a predictor of creating and seeking online word of mouth," Marketing Letters, Springer, vol. 34(4), pages 697-712, December.
    7. Xuying Zhao & Hong Guo & Gangshu Cai & Subhajyoti Bandyopadhyay, 2021. "The Role of Expectation–Reality Discrepancy in Service Contracts," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4160-4175, November.
    8. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    9. repec:oup:jecgeo:v:50:y:2023:i:2:p:236-254. is not listed on IDEAS
    10. Yaping Chang & You Li & Jun Yan & V. Kumar, 2019. "Getting more likes: the impact of narrative person and brand image on customer–brand interactions," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1027-1045, November.
    11. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    12. Suárez Vázquez, Ana & Dub, Li & del Río Lanza, Ana Belén, 2020. "Word of mouth: How upward social comparisons influence the sharing of consumption experiences," MPRA Paper 120089, University Library of Munich, Germany.
    13. Christina Saenger & Veronica L. Thomas, 2021. "How limited consumption experiences affect word of mouth," Marketing Letters, Springer, vol. 32(2), pages 149-163, June.
    14. Kirk, Colleen P. & Peck, Joann & Hart, Claire M. & Sedikides, Constantine, 2022. "Just my luck: Narcissistic admiration and rivalry differentially predict word of mouth about promotional games," Journal of Business Research, Elsevier, vol. 150(C), pages 374-388.
    15. Joaquin Sanchez & Carmen Abril & Michael Haenlein, 2020. "Competitive spillover elasticities of electronic word of mouth: an application to the soft drink industry," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 270-287, March.
    16. Sung Youl Jun & Tae Wook Ju & Hye Kyung Park & Jacob C. Lee & Tae Min Kim, 2023. "Information distortion in word-of-mouth retransmission: the effects of retransmitter intention and source expertise," Asian Business & Management, Palgrave Macmillan, vol. 22(5), pages 1848-1876, November.
    17. Gallo, Iñigo & Townsend, Claudia & Alegre, Inés, 2019. "Experiential product framing and its influence on the creation of consumer reviews," Journal of Business Research, Elsevier, vol. 98(C), pages 177-190.

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