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

影响力营销 感知 心理学 社会心理学 代理(哲学) 认知心理学 产品(数学) 风险感知 记忆的错误归因 匹配(统计) 消费者行为 归属 启发式 印象形成 构思 调解 社会认知 虚拟世界 广告 享乐主义 情感(语言学) 虚拟现实 可能性
作者
Yan Duan,Z Y Hao,Fuqun Liang,Mingxuan Fan,Wei Zhang,Chenjing Wu,Xianyou He
出处
期刊:Journal of Theoretical and Applied Electronic Commerce Research [Multidisciplinary Digital Publishing Institute]
卷期号:20 (4): 305-305
标识
DOI:10.3390/jtaer20040305
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
88heiyo完成签到,获得积分10
刚刚
66669发布了新的文献求助10
1秒前
大气成仁完成签到,获得积分10
1秒前
1秒前
Xavier完成签到,获得积分10
1秒前
1秒前
1秒前
若花若草完成签到,获得积分10
2秒前
2秒前
温婉的电灯胆完成签到,获得积分10
2秒前
斐然发布了新的文献求助10
2秒前
2秒前
苦哈哈发布了新的文献求助10
2秒前
2秒前
俊逸的谷梦完成签到,获得积分10
2秒前
3秒前
LLLLL完成签到,获得积分10
3秒前
Kevin丶大牛完成签到,获得积分10
3秒前
Xavier发布了新的文献求助10
4秒前
xr完成签到,获得积分10
4秒前
callmecjh发布了新的文献求助10
4秒前
耐心齐发布了新的文献求助10
4秒前
xiaolv完成签到,获得积分10
5秒前
攀登发布了新的文献求助10
5秒前
5秒前
66669完成签到,获得积分10
6秒前
wjf发布了新的文献求助10
6秒前
科研通AI6.1应助HMBB采纳,获得10
6秒前
6秒前
在水一方应助宝玉采纳,获得10
6秒前
科研通AI6.3应助JEWEL采纳,获得10
7秒前
忧郁的涛完成签到,获得积分10
7秒前
在九月发布了新的文献求助10
7秒前
7秒前
xr发布了新的文献求助10
8秒前
爆米花发布了新的文献求助10
8秒前
新人发布了新的文献求助10
8秒前
斐然完成签到,获得积分20
9秒前
9秒前
梦欢完成签到,获得积分10
9秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6475511
求助须知:如何正确求助?哪些是违规求助? 8278262
关于积分的说明 17653190
捐赠科研通 5556479
什么是DOI,文献DOI怎么找? 2910326
邀请新用户注册赠送积分活动 1887174
关于科研通互助平台的介绍 1739907