Why users contribute knowledge to online communities: An empirical study of an online social Q&A community

被引：208

作者：

Jin, Jiahua ^{[1
]}

Li, Yijun ^{[1
]}

Zhong, Xiaojia ^{[1
]}

Zhai, Li ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China

来源：

INFORMATION & MANAGEMENT | 2015年 / 52卷 / 07期

关键词：

Social exchange; Social learning; Identity communication; Knowledge contribution; VIRTUAL COMMUNITIES; COGNITIVE THEORY; SELF-REGULATION; CONSUMER-TRUST; SHARE; EXPECTATIONS; CONTINUANCE; INTENTION; IDENTITY; DESIGN;

D O I：

10.1016/j.im.2015.07.005

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on social capital theory, social exchange theory, and social cognitive theory, this study explored why users continuously contribute knowledge to online social Q&A communities. Empirical panel count data were collected from a popular Chinese online social Q&A community. The results from a negative binomial regression model with user fixed effects indicate that a user's self-presentation, peer recognition, and social learning have a positive impact on his knowledge-contribution behaviors. The findings can help guide the development and operation of online social Q&A communities. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：840 / 849

页数：10

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