不同场景微信群的知识共享影响差异研究——基于ERGMs模型

Research of Difference of Knowledge Sharing Effect on WeChat Group in Different Scenes:Based on ERGMs

以社会资本理论为基础,研究结构资本、关系资本、认知资本对工作、学习和生活微信群内部显性、隐性知识共享的影响差异,并借助指数随机图模型(ERGMs)对其进行实证研究。研究表明,工作场景下,影响隐性知识共享的关键因素是个体中心性、互动关系强度、认同、互惠和信任;影响显性知识共享的关键因素是个体中心性、认同、互惠、信任和共同语言。学习场景下,影响隐性知识共享的关键因素是个体中心性、认同、互惠和信任;影响显性知识共享的关键因素是个体中心性、互动关系强度、互惠、信任和共同语言。生活场景下,影响隐性知识共享的关键因素是互动关系强度、认同、信任和共同语言;影响显性知识共享的关键因素是信任和共同语言。

This paper researched the effects of structural capital, relational capital and cognitive capital on the explicit and tacit knowledge sharing within the work, learning and living WeChat group based on the theory of social capital by random graph model ( ERGMs ). The results show that the key factors affecting tacit knowledge sharing in the work scene are individual centricity, interaction intensity, identity, reciprocity and trust. The key factors that affect explicit knowledge sharing in the work scene are individual centrality, identity, reciprocity, trust, and common language. The key factors affecting tacit knowledge sharing in learning scenes are individual centrality, identity, reciprocity and trust. The key factors that affect explicit knowledge sharing in learning scenarios are individual centrality, interaction intensity, reciprocity, trust and common language. The key factors that affect the sharing of tacit knowledge in life scenes are the intensity of interaction, identity, trust and common language. Trust and common language are the key factors that affect explicit knowledge sharing in life situations.