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The Influence of Word-Of-Mouth Referral on Consumers’ Purchase Intention: Experimental Evidence from WeChat

Author

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  • Bing Yuan

    (School of Economics and Management, Zhejiang Normal University, Jinhua 321004, China)

  • Alessandro M. Peluso

    (Department of Management and Economics, University of Salento, 73100 Lecce, Italy)

Abstract

Based on the perspective of dual-system information processing, this article explores how word-of-mouth (WOM) referral affects the purchase intentions of consumers with different types of self-construal. Two experimental studies, using WeChat as a research setting, tested the interactive influence of type of WOM referral (economic vs. public welfare) and type of self-construal (independent vs. interdependent) on consumers’ purchase intention toward the referred product and its intermediary mechanism. The results showed that economic (vs. public welfare) WOM referrals, which emphasize a product’s economic benefits, increased the purchase intention of consumers with an independent (vs. interdependent) self-construal, who typically take an individualistic perspective. In contrast, public welfare (vs. economic) WOM referrals, which emphasize the social benefits connected to a company for the community at large, increased the purchase intention of consumers with an interdependent (vs. independent) self-construal, who take a more collectivistic perspective. The results also shed light on the underlying mechanism by showing that different types of self-construal activate different information processing systems in consumers, which mediate consumers’ reaction to different types of WOM referrals. Specifically, economic WOM referrals can inspire consumers with an independent self-construal to engage in more emotional processing, thereby generating higher purchase intentions; in contrast, public welfare WOM referrals can stimulate consumers with an interdependent self-construal to get involved in more cognitive processing, thereby generating higher purchase intentions. These findings contribute to WOM literature and provide practical implications for companies adopting societal marketing strategy and implementing sustainable promotional plans.

Suggested Citation

  • Bing Yuan & Alessandro M. Peluso, 2021. "The Influence of Word-Of-Mouth Referral on Consumers’ Purchase Intention: Experimental Evidence from WeChat," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:645-:d:478614
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    References listed on IDEAS

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    1. Lee, Angela Y. & Aaker, Jennifer L. & Gardner, Wendi L., 2000. "The Pleasures and Pains of Distinct Self-Construals: The Role of Interdependence in Regulatory Focus," Research Papers 1577r, Stanford University, Graduate School of Business.
    2. Aradhna Krishna & Rongrong Zhou & Shi Zhang, 2008. "The Effect of Self-Construal on Spatial Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(2), pages 337-348, May.
    3. Mothersbaugh, David L & Huhmann, Bruce A & Franke, George R, 2002. "Combinatory and Separative Effects of Rhetorical Figures on Consumers' Effort and Focus in Ad Processing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(4), pages 589-602, March.
    4. Bing Yuan & Alessandro M. Peluso, 2019. "The Influence of Internet Entrepreneur-Related Word-of-Mouth (WOM) on Corporate Image Association," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    5. Bogdan Anastasiei & Nicoleta Dospinescu, 2019. "Electronic Word-of-Mouth for Online Retailers: Predictors of Volume and Valence," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    6. Aaker, David A & Stayman, Douglas M & Hagerty, Michael R, 1986. "Warmth in Advertising: Measurement, Impact, and Sequence Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(4), pages 365-381, March.
    7. Walsh, Gianfranco & Elsner, Ralf, 2012. "Improving referral management by quantifying market mavens’ word of mouth value," European Management Journal, Elsevier, vol. 30(1), pages 74-81.
    8. Greenwald, Anthony G & Leavitt, Clark, 1984. "Audience Involvement in Advertising: Four Levels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 581-592, June.
    9. Xing Yu Zhu & Abdul Razaque Chhachhar, 2016. "Descriptive Analysis Regarding Use of Wechat among University Students in China," Asian Social Science, Canadian Center of Science and Education, vol. 12(2), pages 151-151, February.
    10. Ivan Ka Wai Lai & Michael Hitchcock & Dong Lu & Yide Liu, 2018. "The Influence of Word of Mouth on Tourism Destination Choice: Tourist–Resident Relationship and Safety Perception among Mainland Chinese Tourists Visiting Macau," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
    11. Derbaix, Christian & Vanhamme, Joelle, 2003. "Inducing word-of-mouth by eliciting surprise - a pilot investigation," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 99-116, February.
    12. Md. Alamgir Hossain & Nusrat Jahan & Yuantao Fang & Saiful Hoque & Md. Shakhawat Hossain, 2019. "Nexus of Electronic Word-Of-Mouth to Social Networking Sites: A Sustainable Chatter of New Digital Social Media," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    13. Mick, David Glen, 1992. "Levels of Subjective Comprehension in Advertising Processing and Their Relations to Ad Perceptions, Attitudes, and Memory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(4), pages 411-424, March.
    14. McQuarrie, Edward F & Mick, David Glen, 1999. "Visual Rhetoric in Advertising: Text-Interpretive, Experimental, and Reader-Response Analyses," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(1), pages 37-54, June.
    15. Jiewen Hong & Hannah H. Chang, 2015. ""I" Follow My Heart and "We" Rely on Reasons: The Impact of Self-Construal on Reliance on Feelings versus Reasons in Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1392-1411.
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    1. Gao Wei & Wang Lin & Wu Yanxiong & Yan Jingdong & Sadik Yusuf Musse, 2021. "The Relationship of Sustainability Communication on Social Media with Banking Consumers’ Loyalty through e-WOM," Sustainability, MDPI, vol. 13(7), pages 1-13, March.

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