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知识深度、网络特征与知识创新:基于吸收能力的视角
Knowledge Depth,Network Characteristics and Knowledge Innovation:Based on the Absorptive Capacity Perspective
【摘要】 知识创新是主体开展一切创新活动的根本,其影响因素的研究引起了学术界的广泛重视。本文基于吸收能力的观点,利用社会网络理论,从外部知识利用的角度研究了知识深度和知识创新的曲线关系,以及主体不同的网络特征下这一关系的动态变化。文章以国内202位管理学领域学者2007—2016年发表的高水平国际论文数据为样本,负二项面板回归结果表明:知识深度与知识创新之间存在倒U型关系,而主体所处的网络规模和关系嵌入强度均能削弱这种曲线关系。网络规模越大,知识深度与知识创新的倒U型关系越平缓;关系嵌入强度越强,知识深度与知识创新的倒U型关系越平缓。
【Abstract】 Knowledge innovation is the essence for all the innovation of subjects,and scholars have endeavor to researches on the impacting factors of it.Based on absorptive capability perspectives and network theory,this article has investigated the quadratic relationship between knowledge depth and knowledge innovation and how this relationship changes with different network characteristics under the lens of external knowledge utilization.Using the data of 202 scholars’ high-level-papers between 2007 and 2016,our negative binominal regression results show that knowledge depth has an inverted U shape relationship with knowledge innovation,and both network size and relational embeddedness strength will weaken this relationship.The larger the network size,the flatter the inverted U shape relationship between knowledge depth and knowledge innovation; the stronger the relationship embeddedness strength,the flatter the inverted U shape relationship between knowledge depth and knowledge innovation.
【Key words】 knowledge depth; network size; relational embeddedness strength; knowledge innovation;
- 【文献出处】 科学学与科学技术管理 ,Science of Science and Management of S.& T. , 编辑部邮箱 ,2018年01期
- 【分类号】F273.1
- 【被引频次】41
- 【下载频次】2046