How Mind Perception Shapes Influencer–Product Fit: The Diverging Effects of Virtual Versus Human Influencers on Utilitarian and Hedonic Evaluations

As virtual influencers (VIs) increasingly replace human influencers (HIs) in digital marketing, it is important to understand when and why they are perceived as effective. Building on the Match-Up Hypothesis and Mind Perception Theory, this research examines how influencer type interacts with product type to shape perceived fit and consumer responses. Across six studies (N = 1118), we find a consistent crossover pattern: VIs are viewed as a better match for utilitarian products, whereas HIs are viewed as a better match for hedonic products. This effect is explained by differences in mind perception: VIs are perceived as higher in agency, which enhances their fit with utilitarian products, while HIs are perceived as higher in experience, which enhances their fit with hedonic products. Experiments manipulating perceived agency and experience provide causal support for this mechanism. Finally, we show that while a good fit strengthens persuasion, it also heightens reputational risks, as deceptive endorsements elicit stronger negative reactions when the influencer–product fit is high. These findings clarify how mind perception underlies influencer–product matching and highlight both the persuasive potential and the risks of leveraging virtual influencers in AI-mediated consumer persuasion.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2025-11-03
DOI
https://doi.org/10.3390/jtaer20040305
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
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article

How Mind Perception Shapes Influencer–Product Fit: The Diverging Effects of Virtual Versus Human Influencers on Utilitarian and Hedonic Evaluations

Fuqun Liang, Xianyou He, Chenjing Wu, Mingxuan Fan et al.
Journal of theoretical and applied electronic commerce research
Digital Marketing and Social Media
article

How Mind Perception Shapes Influencer–Product Fit: The Diverging Effects of Virtual Versus Human Influencers on Utilitarian and Hedonic Evaluations

Fuqun Liang, Xianyou He, Chenjing Wu, Mingxuan Fan, Z Y Hao, Wei Zhang, Yan Duan
article en

Abstract

As virtual influencers (VIs) increasingly replace human influencers (HIs) in digital marketing, it is important to understand when and why they are perceived as effective. Building on the Match-Up Hypothesis and Mind Perception Theory, this research examines how influencer type interacts with product type to shape perceived fit and consumer responses. Across six studies (N = 1118), we find a consistent crossover pattern: VIs are viewed as a better match for utilitarian products, whereas HIs are viewed as a better match for hedonic products. This effect is explained by differences in mind perception: VIs are perceived as higher in agency, which enhances their fit with utilitarian products, while HIs are perceived as higher in experience, which enhances their fit with hedonic products. Experiments manipulating perceived agency and experience provide causal support for this mechanism. Finally, we show that while a good fit strengthens persuasion, it also heightens reputational risks, as deceptive endorsements elicit stronger negative reactions when the influencer–product fit is high. These findings clarify how mind perception underlies influencer–product matching and highlight both the persuasive potential and the risks of leveraging virtual influencers in AI-mediated consumer persuasion.

Journal of theoretical and applied electronic commerce researchVol. 20(4)
South China Normal University (CN), Guangdong University Of Finances and Economics (CN), Guangdong University of Finance (CN)
Openalex Percentile: Top 58%
Digital Marketing and Social Media
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How Mind Perception Shapes Influencer–Product Fit: The Diverging Effects of Virtual Versus Human Influencers on Utilitarian and Hedonic Evaluations — Fuqun Liang, Xianyou He, et al. · Journal of theoretical and applied electronic commerce research (2025) | TGRS Research Map | TGRS