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Research on Collective Learning Mechanism and Influencing Factors of Industrial Cluster Innovation Network

机译:产业集群创新网络的集体学习机制及其影响因素研究

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This study attempts to contribute to the cluster innovation literature by adding the collective learning perspective and propose an analytical framework on collective learning of cluster. Industrial cluster is viewed as a prevalent mode for technology innovation in knowledge-based economy. Collective learning outlines how local innovation network and spatial proximity between actors influence the sharing and creation of skills and knowledge in cluster. Firstly, this study discusses the structure and character of innovation network within industrial cluster. Secondly, it analyzes the collective learning mechanism of industrial cluster, which is involves in three dimensions: horizontal learning, vertical learning and multi-angle learning. Then, it focuses on some influencing factors of collective learning within innovation network. Finally, this study analyzes the role of global-local linkages in the dynamic capability of cluster innovation network.
机译:本研究试图通过添加集体学习视角为集群创新文献做出贡献,并提出一个关于集群集体学习的分析框架。产业集群被视为知识经济中技术创新的普遍模式。集体学习概述了本地创新网络和参与者之间的空间距离如何影响集群中技能和知识的共享和创造。首先,本文探讨了产业集群内创新网络的结构和特点。其次,分析了产业集群的集体学习机制,它涉及三个方面:横向学习,纵向学习和多角度学习。然后,重点研究了创新网络中集体学习的一些影响因素。最后,本研究分析了全球本地链接在集群创新网络动态能力中的作用。

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