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不同场景微信群的知识共享影响差异研究——基于ERGMs模型
引用本文:章帆,任若楠.不同场景微信群的知识共享影响差异研究——基于ERGMs模型[J].科技管理研究,2019,39(12):181-189.
作者姓名:章帆  任若楠
作者单位:北京工业大学经济与管理学院,北京,100124;北京工业大学经济与管理学院,北京,100124
基金项目:国家社会科学基金重点项目“新兴科技环境下提升我国创新政策供给能力研究”(17AGL009)
摘    要: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。

关 键 词:社会资本  知识共享  微信群  ERGMs
收稿时间:2019/3/8 0:00:00
修稿时间:2019/3/21 0:00:00

Research of Difference of Knowledge Sharing Effect on WeChat Group in Different Scenes:Based on ERGMs
Zhang Fan,Ren Ruonan.Research of Difference of Knowledge Sharing Effect on WeChat Group in Different Scenes:Based on ERGMs[J].Science and Technology Management Research,2019,39(12):181-189.
Authors:Zhang Fan  Ren Ruonan
Institution:(School of Economics and Management,Beijing University of Technology,Beijing 100124,China)
Abstract:WeChat group as a new social relationship organization model, is widely used in work, study and life. People exchange ideas and transmit knowledge through different WeChat groups. To study the differences of knowledge sharing within WeChat Group in different situations can solve the problem of inefficient knowledge sharing in WeChat Group and provide support for diversified knowledge governance. 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.
Keywords:social capital  Knowledge sharing  WeChat Group  ERGMs
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