Empirical analysis of influencer attributes and social satisfaction effects on purchase intentions in chinese social media.

IF 3.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yifan Yao, Dongxia Meng, Xiaoguang Wei
{"title":"Empirical analysis of influencer attributes and social satisfaction effects on purchase intentions in chinese social media.","authors":"Yifan Yao, Dongxia Meng, Xiaoguang Wei","doi":"10.1038/s41598-025-03336-6","DOIUrl":null,"url":null,"abstract":"<p><p>Underpinned by attribution theory and source credibility theory, this study investigates how influencer characteristics and customer's prior product knowledge affect purchase decisions in the context of social media marketing. A conceptual model incorporating nine potential antecedents was developed based on identified research gaps. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted using data from an online survey of 363 respondents who follow entertainment-type influencers. Results reveal that social satisfaction mediates the relationship between influencer characteristics and purchase intention, while customers' product knowledge moderates this mediated relationship. Specifically, visual aesthetics and denotative inspiration significantly influence social satisfaction, whereas influencer level and connotative inspiration show no significant effects. The study contributes to the theoretical understanding of influencer marketing by integrating attribution theory in a digital context, particularly within the Chinese market. These findings offer practical insights for businesses and marketers in optimizing influencer selection and content strategies, with particular relevance for the rapidly evolving Chinese social media landscape.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"18860"},"PeriodicalIF":3.8000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-03336-6","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Underpinned by attribution theory and source credibility theory, this study investigates how influencer characteristics and customer's prior product knowledge affect purchase decisions in the context of social media marketing. A conceptual model incorporating nine potential antecedents was developed based on identified research gaps. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted using data from an online survey of 363 respondents who follow entertainment-type influencers. Results reveal that social satisfaction mediates the relationship between influencer characteristics and purchase intention, while customers' product knowledge moderates this mediated relationship. Specifically, visual aesthetics and denotative inspiration significantly influence social satisfaction, whereas influencer level and connotative inspiration show no significant effects. The study contributes to the theoretical understanding of influencer marketing by integrating attribution theory in a digital context, particularly within the Chinese market. These findings offer practical insights for businesses and marketers in optimizing influencer selection and content strategies, with particular relevance for the rapidly evolving Chinese social media landscape.

中国社交媒体网红属性与社会满意度对购买意愿影响的实证分析
本研究以归因理论和信息源可信度理论为基础,探讨了社交媒体营销背景下网红特征和顾客对产品的先验知识对购买决策的影响。基于已确定的研究空白,开发了包含九个潜在前因的概念模型。验证性因子分析(CFA)和结构方程模型(SEM)使用了363名关注娱乐型网红的受访者的在线调查数据。结果表明,社会满意度在影响者特征与购买意愿之间起中介作用,而顾客的产品知识在中介作用中起调节作用。其中,视觉美学和外延灵感对社会满意度有显著影响,而网红水平和内蕴灵感对社会满意度无显著影响。该研究通过将归因理论整合到数字环境中,特别是在中国市场中,有助于从理论上理解网红营销。这些发现为企业和营销人员优化网红选择和内容策略提供了实用的见解,特别是与快速发展的中国社交媒体环境相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信