EMPIRICAL RESEARCH ON KNOWLEDGE SHARING FACTORS IN TRAVEL ONLINE COMMUNITY

被引:0
|
作者
Wang, Jie [1 ]
Song, Yu [1 ]
Jin, Maozhu [1 ]
Ren, Peiyu [1 ]
机构
[1] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China
来源
PAKISTAN JOURNAL OF STATISTICS | 2014年 / 30卷 / 05期
基金
中国国家自然科学基金; 国家教育部博士点专项基金资助;
关键词
Travel online community; knowledge sharing; scenic spot congestion; VIRTUAL COMMUNITIES;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
As tourism and Internet economy mix together, more and more people acquire travel information through travel online community, and it has greatly promoted knowledge sharing in the community. Therefore, it is of great importance to research on this behavior. This paper, on the basis of existed literatures and in-depth interviews, took theory of social exchange and social cognition theory into consideration and chose users from 6 famous Chinese travel online communities as the respondents. An equation model was set up to analyze the influential factors and influence mechanism of knowledge sharing in travel online community. The results showed that opportunity cost has a negative impact on knowledge sharing wish while trust and reciprocity have positive impacts on it; and sharing wish has a positive impact on sharing behavior. In the end, this paper offered some suggestions for the management and operation of knowledge sharing in travel online community.
引用
收藏
页码:815 / 826
页数:12
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