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Watching it motivates me to become stronger: Virtual influencers' impact on consumer self-improvement product preferences

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  • Meng, Lu (Monroe)
  • Bie, Yongyue
  • Yang, Mengya
  • Wang, Yijie

Abstract

We explore the effectiveness of virtual influencers in promoting self-improvement products. Four studies demonstrate that compared with human influencers, virtual influencers can increase consumers’ self-improvement product preferences because of the realistic threats depicted by virtual influences. Moreover, this effect weakens or disappears when consumers and influencers are in a cooperative relationship, or when consumers are self-affirmed. By innovatively exploring virtual influencers’ impact on consumers’ perceptions of realistic threats, we enrich the antecedents of self-improvement product preferences, and provide implications for research and marketing practices.

Suggested Citation

  • Meng, Lu (Monroe) & Bie, Yongyue & Yang, Mengya & Wang, Yijie, 2024. "Watching it motivates me to become stronger: Virtual influencers' impact on consumer self-improvement product preferences," Journal of Business Research, Elsevier, vol. 178(C).
  • Handle: RePEc:eee:jbrese:v:178:y:2024:i:c:s0148296324001589
    DOI: 10.1016/j.jbusres.2024.114654
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    References listed on IDEAS

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    1. Armin Granulo & Christoph Fuchs & Stefano Puntoni, 2019. "Psychological reactions to human versus robotic job replacement," Nature Human Behaviour, Nature, vol. 3(10), pages 1062-1069, October.
    2. Lauren Grewal & Eugenia C Wu & Keisha M Cutright, 2022. "Loved As-Is: How God Salience Lowers Interest in Self-Improvement Products [Cross-Domain Effects of Guilt on Desire for Self-Improvement Products]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(1), pages 154-174.
    3. Soo Kim & David Gal, 2014. "From Compensatory Consumption to Adaptive Consumption: The Role of Self-Acceptance in Resolving Self-Deficits," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(2), pages 526-542.
    4. Bernd Schmitt, 2020. "Speciesism: an obstacle to AI and robot adoption," Marketing Letters, Springer, vol. 31(1), pages 3-6, March.
    5. Wolf, Tobias & Jahn, Steffen & Hammerschmidt, Maik & Weiger, Welf H., 2021. "Competition versus cooperation: How technology-facilitated social interdependence initiates the self-improvement chain," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 472-491.
    6. Thomas Allard & Katherine White, 2015. "Cross-Domain Effects of Guilt on Desire for Self-Improvement Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(3), pages 401-419.
    7. Wien, Anders Hauge & Peluso, Alessandro M., 2021. "Influence of human versus AI recommenders: The roles of product type and cognitive processes," Journal of Business Research, Elsevier, vol. 137(C), pages 13-27.
    8. Anthony Salerno & Juliano Laran & Chris Janiszewski & Darren W Dahl & Linda L Price & Cait Lamberton, 2019. "The Bad Can Be Good: When Benign and Malicious Envy Motivate Goal Pursuit," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(2), pages 388-405.
    Full references (including those not matched with items on IDEAS)

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