IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v87y2025ics0969698925001638.html
   My bibliography  Save this article

A double-edged sword: Exploring the effectiveness of expressed subjectivity in virtual influencer endorsements

Author

Listed:
  • Yao, Ruiqi
  • Qi, Guijie
  • Sun, Hua
  • Sheng, Dongfang

Abstract

While marketers increasingly deploy linguistic anthropomorphism in avatar marketing, the effectiveness of virtual influencers' (VIs) subjectivity and the underlying mechanisms are not well understood in brand endorsements. Based on the theory of ambivalence and persuasion literature, we explore whether, why, and when VIs' expressed subjectivity influences endorsement effectiveness. Four main experiments and three supplementary experiments spanning hospitality contexts were conducted, using t-test, ANOVA, and PROCESS macro analyses. The results indicated that VIs' expressed subjectivity was less effective than that of human influencers in terms of purchase intention and brand interest, and this can be explained by a dual mediation pathway: empathy and skepticism (Studies 1–2). Furthermore, expressed subjectivity became more effective when a virtual influencer was mimic-human or controlled by a human (Studies 3–4). Our findings extend previous literature on virtual influencer marketing by unraveling the persuasion mechanism underlying the effectiveness of VIs’ expressed subjectivity. Also, we contribute to the machine anthropomorphism literature by revealing the interrelationships among linguistic and visual anthropomorphism. Additionally, this paper provides practical implications for marketers and creators who are interested in deploying VIs.

Suggested Citation

  • Yao, Ruiqi & Qi, Guijie & Sun, Hua & Sheng, Dongfang, 2025. "A double-edged sword: Exploring the effectiveness of expressed subjectivity in virtual influencer endorsements," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:joreco:v:87:y:2025:i:c:s0969698925001638
    DOI: 10.1016/j.jretconser.2025.104384
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698925001638
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2025.104384?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:87:y:2025:i:c:s0969698925001638. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.