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Virtually responsible? Attribution of responsibility toward human vs. virtual influencers and the mediating role of mind perception

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  • Liu, Fanjue
  • Lee, Yu-Hao

Abstract

This research examines consumers' attribution of responsibility to virtual influencers in comparison with human influencers, as well as the mechanisms underlying this attribution process. Two online experiments were conducted: Study 1 (NÂ =Â 305) explored how consumers attribute responsibility to virtual versus human influencers in successful and unsuccessful endorsements, and the mediating role of mind perception in this process. Study 2 (NÂ =Â 347) aimed to validate the findings of Study 1 using a different stimulus and further extend Study 1 by examining consumers' brand attitudes and intentions to share endorsements by virtual versus human influencers. It also tested whether mind perception continues to mediate between the influencer type and these brand-related outcomes. The findings indicate that consumers are more likely to attribute the success of endorsements to human influencers rather than virtual influencers. Virtual influencers, however, are perceived as less responsible for the outcomes of endorsements, whether successful or unsuccessful. Importantly, mind perception is found to mediate the effect of influencer type on responsibility attribution, brand attitude, and intentions to share. Theoretical and managerial implications of these findings are further discussed.

Suggested Citation

  • Liu, Fanjue & Lee, Yu-Hao, 2024. "Virtually responsible? Attribution of responsibility toward human vs. virtual influencers and the mediating role of mind perception," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
  • Handle: RePEc:eee:joreco:v:77:y:2024:i:c:s0969698923004368
    DOI: 10.1016/j.jretconser.2023.103685
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    1. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    3. El Hedhli, Kamel & Zourrig, Haithem & Al Khateeb, Amr & Alnawas, Ibrahim, 2023. "Stereotyping human-like virtual influencers in retailing: Does warmth prevail over competence?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. R. Filieri & S. Shuqair & G. Viglia & A. Mattila & D. C. Pinto, 2023. "Leveraging online selling through social media influencers," Post-Print hal-04318902, HAL.
    5. Li, Huajun & Lei, Yueqiu & Zhou, Qi & Yuan, Hong, 2023. "Can you sense without being human? Comparing virtual and human influencers endorsement effectiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    6. Xie-Carson, Li & Benckendorff, Pierre & Hughes, Karen, 2023. "Not so different after all? A netnographic exploration of user engagement with non-human influencers on social media," Journal of Business Research, Elsevier, vol. 167(C).
    7. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    8. Deng, Fengyi & Jiang, Xia, 2023. "Effects of human versus virtual human influencers on the appearance anxiety of social media users," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    9. Alice Audrezet & Bernadett Koles, 2023. "Virtual Influencer as a Brand Avatar in Interactive Marketing," Springer Books, in: Cheng Lu Wang (ed.), The Palgrave Handbook of Interactive Marketing, chapter 0, pages 353-376, Springer.
    10. Li, Jian & Huang, Jinsong & Li, Yaqi, 2023. "Examining the effects of authenticity fit and association fit: A digital human avatar endorsement model," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    11. Bu, Yi & Parkinson, Joy & Thaichon, Park, 2022. "Influencer marketing: Homophily, customer value co-creation behaviour and purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    12. Marie Haikel-Elsabeh, 2023. "Virtual influencers versus real influencers advertising in the metaverse, understanding the perceptions, and interactions with users," Post-Print hal-04171089, HAL.
    13. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    Full references (including those not matched with items on IDEAS)

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