吸引力
连续性
心理学
互动性
结构方程建模
美女
价值(数学)
感知
广告
社会心理学
情感(语言学)
营销
业务
多媒体
美学
计算机科学
沟通
哲学
机器学习
神经科学
精神分析
作者
Hsiao-Han Lu,Ching‐Fu Chen,Yi Ming Tai
标识
DOI:10.1016/j.jretconser.2023.103686
摘要
YouTube has emerged as an effective social media platform for brands to reach consumers through YouTube vloggers. However, little is known about how vlogger characteristics and video attributes affect consumers' perceived value and behavioral intention. Drawing on the stimulus‒organism‒response (SOR) framework, this research examines how video attributes (i.e., content quality and visual aesthetics) and vlogger characteristics (i.e., authenticity, interactivity, physical attractiveness, and expertise) influence followers' utilitarian and hedonic values, which consequently lead to continuance intention and purchase intention. The survey data collected from 1014 followers of the vloggers (i.e., beauty and technology) were analyzed by structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The results show that visual aesthetics, authenticity, and physical attractiveness positively affect followers' utilitarian and hedonic value, whereas content quality, interactivity, and expertise positively influence followers' utilitarian values but not hedonic value. Utilitarian value positively impacts followers' purchase intention and continuance intention, whereas hedonic value positively affects followers' continuance intention but not purchase intention. Multigroup analysis reveals that these determinants generally have a greater impact on hedonic values for beauty vloggers, whereas they mostly have greater influences on utilitarian values for technology vloggers. The fsQCA results supplement the SEM findings and indicate six configurations for beauty vloggers and five configurations for technology vloggers that lead to high purchase intention or continuance intention. The findings provide a better understanding of vloggers' influence on followers' perceived value and behavioral intention from vlogger characteristics and video attributes.
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