摘要
基于社会网络理论和资源编排理论,构建“非正式治理—网络能力—知识流动”研究框架,利用问卷数据,运用PLS-SEM和fsQCA方法检验非正式治理对知识流动的影响路径。结果显示:非正式治理正向影响知识流动;网络能力在其中发挥中介作用。信任、声誉、合作文化、联合制裁四种非正式治理手段和网络能力可形成三个实现高效知识流动的组态,其中两个呈“关系主导型”,一个呈“关系能力协同型”,可形成两个导致非高效知识流动的组态,均为“意愿和能力不足型”。
Based on social network theory and resource orchestration theory,this paper constructs a research framework of"informal governance-network capability-knowledge flow".Using questionnaire data,it uses PLS-SEM and fsQCA methods to test the impact of informal governance on knowledge flow and its path.Empirical results show that informal governance has a positive impact on knowledge flow,and network capability plays a mediating role in it.Trust,reputation,cooperation culture,and joint sanctions can be combined to form three configurations to realize high-performance knowledge flow,two of which are"relationship oriented",one is"relationship capability collaborative",and two configurations that lead to non-high-performance knowledge flow,both of which are"insufficient willingness and capability".
作者
王涛
潘施茹
石琳娜
曾婷
WANG Tao;PAN Shi-ru;SHI Lin-na;ZENG Ting(School of Business,Sichuan University,Chengdu 610064;Innovation and Entrepreneurship Research Institute,Sichuan University,Chengdu 610064;Institute of Soft Science,Sichuan University,Chengdu 610064;Science&Technology for Development Research Center of Sichuan Province,Chengdu 610041)
出处
《软科学》
CSSCI
北大核心
2022年第5期55-60,共6页
Soft Science
基金
国家自然科学基金项目(71602132)
国家社会科学基金项目(21BGL060)
重庆市社会科学规划项目(2020ZDSC07、2020ZDGL07)
中央高校基本科研业务费专项资金四川大学商学院自主立项科研项目(2020自研-商学B01)。
关键词
企业创新网络
非正式治理
网络能力
知识流动
enterprise innovation network
informal governance
network capability
knowledge flow