论文部分内容阅读
认为人际关系网络由咨询网络、情感网络、一般信任及特殊信任4个网络构成,根据社会关系相关研究成果提出4个假设,开发整体网问卷,并据此收集高校科研小团体的网络数据。对所选取的两个小团体进行中心性分析、QAP回归分析等,分析结果支持了其中3个假设。结论表明,咨询网络、一般信任及特殊信任与知识共享显著正相关,而情感网络与知识共享负相关;咨询网络、一般信任网络和特殊信任网络的中心性越高,越有利于知识共享。
According to the results of social relations research, this paper proposes four hypotheses, develops the overall network questionnaire, and collects the network data of the small scientific research groups in colleges and universities. The two selected small groups for central analysis, QAP regression analysis, analysis of the results support three hypotheses. The conclusion shows that consulting network, general trust and special trust have significant positive correlation with knowledge sharing, while the affective network is negatively related to knowledge sharing. The higher centrality of consulting network, general trust network and special trust network, the more conducive to knowledge sharing.