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A Multi-Level Model Study of Knowledge Power in Technology Innovation Networks: A Complementarity for the Knowledge-Based View

机译:技术创新网络中知识力量的多层次模型研究:基于知识的观点的补充

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The Knowledge-Based View (KBV) is one of the main views for studying innovation networks at present. Researches from KBV only, however, have derived some problems. Main of those is neglecting actors' role in the network by emphasizing on static attributes of knowledge rather than attributes of individual organizations and their dynamic movements. This paper believes that an actor' power or influence over other actors in a technology innovation network is one of the main ways to reflect its active role in the network. Therefore, in this paper, 1) by combining the theories of KBV, Dynamic Capability and Power Dependence, the concept of Knowledge Power is introduced into the study of technology innovation networks; 2) a multi-level model of knowledge attributes is provided according to technology innovation networks' characteristics; 3) the impact of knowledge attributes on knowledge power is analyzed based on the multi-level model, with some propositions proposed.
机译:基于知识的观点(KBV)是当前研究创新网络的主要观点之一。但是,仅KBV的研究产生了一些问题。其中主要是通过强调知识的静态属性而不是单个组织及其动态运动的属性来忽略参与者在网络中的角色。本文认为,技术创新网络中的参与者对其他参与者的权力或影响是反映其在网络中的积极作用的主要方式之一。因此,本文采用以下方法:1)结合KBV,动态能力和权力依赖的理论,将知识权力的概念引入技术创新网络的研究中; 2。 2)根据技术创新网络的特点,建立了知识属性的多层次模型。 3)基于多层次模型分析了知识属性对知识能力的影响,并提出了一些建议。

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