文献类型：期刊文献

英文题名：The Impact of User Heterogeneity on Knowledge Collaboration Performance

作者：Zhou, Yingying[1];Chen, Jianbin[2];Gao, Shuli[2];Chen, Mo[2]

第一作者：Zhou, Yingying

通讯作者：Chen, JB[1]

机构：[1]Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China;[2]Beijing Union Univ, Sch Business, Beijing 100025, Peoples R China

第一机构：Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Business, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2020

卷号：27

期号：6

起止页码：1938-1945

外文期刊名：TEHNICKI VJESNIK-TECHNICAL GAZETTE

收录：;EI(收录号：20210109731250);Scopus(收录号：2-s2.0-85098696837);WOS:【SCI-EXPANDED(收录号:WOS:000600425200029)】；

基金：Supported by the National Natural Science Fund Project (71572015); Supported by the Talent Selection Program of Beijing Union University (BPHR2017CS06); Supported by the Funding project of Beijing Philosophy and Social Science Research Program (17BGL033).

语种：英文

外文关键词：interactivity; knowledge collaboration performance; social Q & A community; user heterogeneity

摘要：Existing research showed that the social Q & A community is centred on user participation and can improve knowledge collaboration performance by means of heterogeneous knowledge, but it did not reveal the process and mechanism. This paper takes the user behaviours of the Zhihu which is the largest social Q & A community in China as the research object. From an interactive perspective, it builds a research model of the relationship between user heterogeneity and knowledge collaboration performance by establishing measurement indicators for relationship analysis according to the user behaviours data of Zhihu. The results show that there is an inverted U-shaped relationship between user heterogeneity and knowledge collaboration performance, and the interpersonal interaction of users plays a mediating role in the relationship between user heterogeneity and knowledge collaboration performance, while the mediating effect of machine interaction is not significant. This paper, based on this, puts forward some suggestions for better development of social Q & A community.