产业集群的网络式创新能力及其集体学习机制被引量：91

Collective Learning and capabilities of network-innovation of clusters

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摘要产业集群的可持续发展依赖于集群持续的创新能力。通过组织间的互动实现知识的产生、传递与积累是集群中创新所具有的新特点,这种称之为网络式创新的创新模式,其基础是知识,尤其是隐性知识,其实现途径是集体学习机制。在结构功能主义的分析框架下,本文将产业集群内的学习行为做了自觉性与结构性的划分,在此基础上构建了知识、学习与网络式创新能力之间的相互关系模型,分析了集体学习的主要过程及其基础。据此文章试图阐释一种更为系统和动态的网络式创新能力评价和培育体系。 Continuable development of clusters depends on their innovative capabilities, which we call capabilities of network - innovation. In clusters, knowledge, especially tacit knowledge, is the base of the capabilities of network - innovation. And the collective learning is the approach to them. Being in the framework of structuralism, the author differentiates learning activities, conceives themodel of relations between knowledge, learning and network-innovation accordingly, and expatiates the preconditions and process of collective learning. At last, in this article, the author tries to bring forth a more systemic and dynamic system to evaluate and foster the capabilities of network - innovation of clusters.

作者蔡宁吴结兵

机构地区浙江大学经济学院

出处《科研管理》 CSSCI 北大核心 2005年第4期22-28,21,共8页 Science Research Management

基金国家自然科学基金资助项目项目批准号:70073028.

关键词产业集群网络式创新能力隐性知识集体学习 industry clusters capabilities of network- innovation tacit knowledge collective learning

分类号 F271 [经济管理—企业管理]

作者简介蔡宁（1963-），男，浙江杭州人，浙江大学经济学院经济研究所副所长，教授、博士生导师，主要研究战略管理与创新管理。吴结兵（1979-），男，安徽望江人，浙江大学经济学院企业管理专业博士生，主要研究产业集群。

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