The Influence of Social Capital in an Online Community on Online Review Quality in China

被引:7
作者
Li, Qiuju [1 ]
Cui, Jinhong [1 ]
Gao, Yun [1 ]
机构
[1] Univ Int Business & Econ, Beijing, Peoples R China
来源
2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS) | 2015年
关键词
Social Capital; Reviews Quality; Content; Similarity; Social Network; WORD-OF-MOUTH; COLLABORATION; DETERMINANTS; HELPFULNESS; CREDIBILITY; FRAMEWORK; SUCCESS; SALES; TRUST;
D O I
10.1109/HICSS.2015.74
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Collaboration is to make full use of the advantages of each one, not only saving time but also saving resources. As a form of collaboration, online reviews attract attentions of scholars and businessmen in China. However, previous research mostly explores how review quality affects product sales or how review content influences quality of online review. In this study, we present how social capital of reviewers affects the quality of review. Based on the social capital theory and social network theory, we consider a reviewer's social network, indegree and outdegree, experience, and activity, and build a theoretical model for review quality. We use 1764 reviews in an online community in China to test our hypotheses through the Tobit regression method. The research results not only make theoretical contributions to research on online review quality, but also help enterprises manage and apply online reviews effectively.
引用
收藏
页码:562 / 570
页数:9
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