1. The Impact of User Heterogeneity on Knowledge Collaboration Performance
- Author
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Yingying Zhou, Jianbin Chen*, Shuli Gao, Mo Chen, Yingying Zhou, Jianbin Chen*, Shuli Gao, and Mo Chen
- Abstract
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 Ushaped 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.
- Published
- 2020