已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Understanding the purchase intention in live streaming from the perspective of social image

透视图(图形) 直播流媒体 心理学 图像(数学) 社会心理学 社会学 广告 计算机科学 业务 多媒体 计算机视觉 人工智能
作者
Jianping Zou,Xu Fu
出处
期刊:Humanities & social sciences communications [Palgrave Macmillan]
卷期号:11 (1)
标识
DOI:10.1057/s41599-024-04054-6
摘要

E-commerce live streaming (hereafter, "ELS") has introduced novel avenues for E-commerce. Driven by commercial goals, ELS streamers work to craft, sustain, and enhance their social images to attract popularity, acceptance, trust, and other beneficial outcomes. This article investigates how various characteristics of a streamer's social image influence purchase intentions within ELS, using a conceptual model comprising fourteen hypotheses based on the Stimulus-Organism-Response (SOR) framework. This model examines social image through three dimensions that correspond to the intentional behaviors of ELS streamers. The findings indicate that consumers' purchase intention is significantly influenced by characteristics that benefit the first impression developed by the streamer, namely physical attractiveness. Characteristics that benefit the endorsement of products, namely matchup congruence, authenticity, and expertise, also positively affect consumer purchase intention. Moreover, the effect of streamers' social image characteristics that benefit communication traits, entertainment, and responsiveness, are tested respectively. However, surprisingly contrary to our expectation, entertainment features have no significant effect on both trust and purchase intention. Responsiveness has significant effects on trust but no significant effects on purchase intention. Potential psychological and regulatory explanations for this finding is provided. The article also offers strategic recommendations for streamers and e-commerce businessmen to refine their live-streaming efforts.
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
刚刚
三尺微命完成签到 ,获得积分10
1秒前
3秒前
阁主完成签到,获得积分10
4秒前
yanzilin发布了新的文献求助10
5秒前
PUU完成签到 ,获得积分10
5秒前
wang5945完成签到 ,获得积分10
6秒前
在河之洲发布了新的文献求助10
6秒前
6秒前
浮生若梦完成签到 ,获得积分10
7秒前
7秒前
10秒前
大七完成签到 ,获得积分10
10秒前
zhangfan发布了新的文献求助10
11秒前
11秒前
文献求助完成签到,获得积分20
11秒前
斗牛的番茄完成签到 ,获得积分10
11秒前
汉堡包应助lipengfei采纳,获得10
12秒前
14秒前
16秒前
huanfeng完成签到,获得积分10
16秒前
充电宝应助小桔灯采纳,获得10
17秒前
云藤发布了新的文献求助10
19秒前
贾思敏完成签到 ,获得积分10
21秒前
梦醒完成签到,获得积分10
22秒前
cc发布了新的文献求助10
23秒前
llllll完成签到 ,获得积分10
23秒前
23秒前
jeronimo完成签到,获得积分10
23秒前
24秒前
Mottri完成签到,获得积分10
24秒前
kangkang发布了新的文献求助10
25秒前
科研通AI6.3应助鲨鱼齿采纳,获得10
26秒前
27秒前
yanzilin完成签到 ,获得积分10
28秒前
孤独太清完成签到,获得积分20
29秒前
完美世界应助tt采纳,获得10
30秒前
孤独太清发布了新的文献求助10
31秒前
早茶可口完成签到,获得积分10
32秒前
32秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7252395
求助须知:如何正确求助?哪些是违规求助? 8874843
关于积分的说明 18733581
捐赠科研通 6932565
什么是DOI,文献DOI怎么找? 3199699
关于科研通互助平台的介绍 2374413
邀请新用户注册赠送积分活动 2174326