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The Impact of User Heterogeneity on Knowledge Collaboration Performance

Authors :
Yingying Zhou
Jianbin Chen
Shuli Gao
Mo Chen
Source :
Tehnički Vjesnik, Vol 27, Iss 6, Pp 1938-1945 (2020)
Publication Year :
2020
Publisher :
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek, 2020.

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.

Details

Language :
English
ISSN :
13303651 and 18486339
Volume :
27
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Tehnički Vjesnik
Publication Type :
Academic Journal
Accession number :
edsdoj.69095a4b918e4618972e3f261f220f60
Document Type :
article
Full Text :
https://doi.org/10.17559/TV-20200822052521