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Knowledge Clusters and Knowledge Hubs: Designing Epistemic Landscapes for Development

机译:知识集群和知识中心:设计发展的认知景观

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摘要

Purpose – With globalization and knowledge-based production, firms may cooperate on a global scale, outsource parts of their administrative or productive units and negate location altogether. The extremely low transaction costs of data, information and knowledge seem to invalidate the theory of agglomeration and the spatial clustering of firms, going back to the classical work by Alfred Weber and Alfred Marshall, who emphasized the microeconomic benefits of industrial collocation. This paper aims to argue against this view and show why the growth of knowledge societies will rather increase than decrease the relevance of location by creating knowledge clusters and knowledge hubs, due to sharing of tacit knowledge and research and development outputs. Designing epistemic landscapes of knowledge clusters and hubs is, therefore, proposed as a viable development policy. Design/methodology/approach – Secondary data from cluster research as well as the authors\u27 own survey data, mainly on Vietnam, Malaysia and Singapore, are used to show and measure clustering of knowledge-producing organizations. Findings – The paper shows that sharing of tacit knowledge is a crucial variable to explain why clustering of knowledge-intensive industries takes place despite the development of information technology. The importance of knowledge management for development is highlighted. Practical implications – Designing epistemic landscapes of knowledge clusters and hubs is, therefore, proposed as a viable development policy. Originality/value – The paper argues against the mainstream of industrial clustering theory and proposes a KM-based research strategy. The discussion of the difference between knowledge clusters and knowledge hubs enables the use of a new and consistent evaluation of a K4D (knowledge for development) strategy.
机译:目的–通过全球化和基于知识的生产,公司可以在全球范围内进行合作,将其部分行政或生产部门外包,并完全取消地点。数据,信息和知识的极低交易成本似乎使集聚理论和企业空间集群无效,这可以追溯到阿尔弗雷德·韦伯和阿尔弗雷德·马歇尔的经典著作,他们强调了工业搭配的微观经济利益。本文旨在反对这种观点,并说明为什么由于共享隐性知识和研发成果,通过创建知识集群和知识中心,知识社会的增长宁愿增加而不是降低位置的相关性。因此,建议设计知识集群和枢纽的认知景观是可行的发展政策。设计/方法/方法–来自集群研究的辅助数据以及主要来自越南,马来西亚和新加坡的作者自己的调查数据,用于显示和衡量知识生产组织的集群。调查结果–该论文表明,隐性知识的共享是一个关键变量,可以解释尽管信息技术发展,知识密集型产业仍会发生集群的情况。强调了知识管理对发展的重要性。实际意义–因此,建议设计知识集群和枢纽的认知景观是可行的发展政策。原创性/价值–本文与产业集群理论的主流背道而驰,并提出了基于知识管理的研究策略。对知识集群和知识中心之间差异的讨论使得可以使用对K4D(发展知识)策略的全新且一致的评估。

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