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Uncovering the receiver’s traits that moderate the effect of e-WOM valence on the purchase intentions of healthy food products

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  • Carrete, Lorena
  • Arroyo, Pilar
  • Castillo, Gricel

Abstract

[EN] This study applies the information integration theory (IIT) to explore how individuals simultaneously combine several stimuli —electronic word-of-mouth (e-WOM) valence, information source, and brand expectations— depending on four traits —consumption product frequency, social media use frequency, health consciousness and susceptibility to social influence— to form intentions toward health food brands products commented in social media. A 2×2×2 experiment was designed, and 200 Mexican consumers recruited online were randomly assigned to a high or null brand expectation condition before being exposed to a combination of positive or negative e-WOM published by a digital consumer or an influencer. According to the IIT, a multiplicative algebraic model describes how the receiver’s health consciousness, product category consumption frequency, and social media use moderate the relationship between e-WOM valence and consumers’ purchasing intention. The moderator effect of two experimental factors, the information source and the brand expectations, plus the moderator effect of the consumer social susceptibility were not empirically supported; however, brand expectations directly influenced the purchase intention. This study contributes to the online consumer behavior and e-WOM literature by examining the nonconscious or semiconscious processing of e-WOM valence when combined with other stimuli and how the effect of e-WOM valence changes depending on individual behaviors and traits.

Suggested Citation

  • Carrete, Lorena & Arroyo, Pilar & Castillo, Gricel, 2025. "Uncovering the receiver’s traits that moderate the effect of e-WOM valence on the purchase intentions of healthy food products," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
  • Handle: RePEc:ehu:cuader:73234
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    References listed on IDEAS

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    1. Sabrina Stöckli & Doris Hofer, 2020. "Susceptibility to social influence predicts behavior on Facebook," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-20, March.
    2. Audrezet, Alice & de Kerviler, Gwarlann & Guidry Moulard, Julie, 2020. "Authenticity under threat: When social media influencers need to go beyond self-presentation," Journal of Business Research, Elsevier, vol. 117(C), pages 557-569.
    3. Anubhav Mishra & Satish S. Maheswarappa, 2019. "How Content Valence and Online Impression Influence Goal Achievement in Social Media Environment?," Global Business Review, International Management Institute, vol. 20(5), pages 1267-1281, October.
    4. Ballings, Michel & Van den Poel, Dirk, 2015. "CRM in social media: Predicting increases in Facebook usage frequency," European Journal of Operational Research, Elsevier, vol. 244(1), pages 248-260.
    5. Jolanta Tkaczyk, 2015. "Consumer Susceptibility to Social Influence and Tendency to Generate a Positive or Negative Message in Word of Mouth Communication," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 21-28, July.
    6. Barcelos, Renato Hübner & Dantas, Danilo C. & Sénécal, Sylvain, 2018. "Watch Your Tone: How a Brand's Tone of Voice on Social Media Influences Consumer Responses," Journal of Interactive Marketing, Elsevier, vol. 41(C), pages 60-80.
    7. Thomas Anker & Peter Sandøe & Tanja Kamin & Klemens Kappel, 2011. "Health Branding Ethics," Journal of Business Ethics, Springer, vol. 104(1), pages 33-45, November.
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