Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content

社会化媒体 品牌社群 说服 广告 用户生成的内容 业务 营销 心理学 品牌知名度 计算机科学 社会心理学 万维网
作者
Khim Yong Goh,Cheng-Suang Heng,Zhijie Lin
出处
期刊:Information Systems Research [Institute for Operations Research and the Management Sciences]
卷期号:24 (1): 88-107 被引量:1204
标识
DOI:10.1287/isre.1120.0469
摘要

Despite the popular use of social media by consumers and marketers, empirical research investigating their economic values still lags. In this study, we integrate qualitative user-marketer interaction content data from a fan page brand community on Facebook and consumer transactions data to assemble a unique data set at the individual consumer level. We then quantify the impact of community contents from consumers (user-generated content, i.e., UGC) and marketers (marketer-generated content, i.e., MGC) on consumers' apparel purchase expenditures. A content analysis method was used to construct measures to capture the informative and persuasive nature of UGC and MGC while distinguishing between directed and undirected communication modes in the brand community. In our empirical analysis, we exploit differences across consumers' fan page joining decision and across timing differences in fan page joining dates for our model estimation and identification strategies. Importantly, we also control for potential self-selection biases and relevant factors such as pricing, promotion, social network attributes, consumer demographics, and unobserved heterogeneity. Our findings show that engagement in social media brand communities leads to a positive increase in purchase expenditures. Additional examinations of UGC and MGC impacts show evidence of social media contents affecting consumer purchase behavior through embedded information and persuasion. We also uncover the different roles played by UGC and MGC, which vary by the type of directed or undirected communication modes by consumers and the marketer. Specifically, the elasticities of demand with respect to UGC information richness are 0.006 (directed communication) and 3.140 (undirected communication), whereas those for MGC information richness are insignificant. Moreover, the UGC valence elasticity of demand is 0.180 (undirected communication), whereas that for MGC valence is 0.004 (directed communication). Overall, UGC exhibits a stronger impact than MGC on consumer purchase behavior. Our findings provide various implications for academic research and practice.
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
1秒前
QQ糖完成签到,获得积分10
1秒前
laoxie301发布了新的文献求助50
2秒前
2秒前
Azoom发布了新的文献求助10
3秒前
4秒前
FG发布了新的文献求助10
4秒前
Whisperyuan完成签到 ,获得积分10
4秒前
5秒前
范良聪发布了新的文献求助10
5秒前
Junlin发布了新的文献求助10
6秒前
han发布了新的文献求助10
6秒前
丰富的绮晴完成签到,获得积分10
7秒前
7秒前
Jonathan完成签到,获得积分10
8秒前
Wang发布了新的文献求助10
9秒前
FG完成签到,获得积分10
10秒前
Xwu完成签到,获得积分10
10秒前
Junlin完成签到,获得积分10
12秒前
123456发布了新的文献求助30
13秒前
炙热的笑翠完成签到,获得积分10
13秒前
14秒前
Erste完成签到 ,获得积分10
14秒前
李爱国应助陈功城采纳,获得10
18秒前
幸运星完成签到 ,获得积分10
18秒前
贪玩的秋柔应助Xwu采纳,获得20
19秒前
碗碗豆喵完成签到 ,获得积分10
20秒前
西瓜霜完成签到 ,获得积分10
21秒前
Prat_2000完成签到 ,获得积分10
21秒前
22秒前
23秒前
urien完成签到,获得积分10
23秒前
qiqi完成签到,获得积分10
24秒前
绯红逍遥发布了新的文献求助10
28秒前
28秒前
HYC完成签到,获得积分10
29秒前
李爱国应助Azoom采纳,获得10
31秒前
QY发布了新的文献求助10
33秒前
超级拖延症完成签到 ,获得积分10
34秒前
科研通AI6.2应助小自采纳,获得10
36秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6353255
求助须知:如何正确求助?哪些是违规求助? 8168245
关于积分的说明 17192085
捐赠科研通 5409372
什么是DOI,文献DOI怎么找? 2863734
邀请新用户注册赠送积分活动 1841018
关于科研通互助平台的介绍 1689834