首页> 外文期刊>Technology in society >Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector
【24h】

Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector

机译:产业集群中无形的知识流:韩国制造业的专利分析

获取原文
获取原文并翻译 | 示例
       

摘要

Understanding inter-industrial knowledge flows lays the foundation for building knowledge clusters and designing a national innovation system (NIS). The types of knowledge measured can be distinguished as embodied knowledge flow and disembodied knowledge flow. Embodied knowledge flow takes place through the purchase of machinery, equipment, and components that incorporate new technologies; disembodied knowledge flow is the process whereby knowledge is disseminated through human mobility and research spillovers. Previous attempts to identify industrial clusters have mainly focused on the embodied knowledge flow.rnThis study seeks to identify industrial clusters in the Korean manufacturing sector using patent citation relationships as a proxy for disembodied knowledge flow. The six identified clusters are: supplier-dominated, material-intensive, machinery-intensive, chemicals-based, information/precision-based, and electrical/electronics-based. The technological characteristics of these six clusters are examined through various patent indicators. An inter-cluster knowledge network is constructed to identify the roles of each cluster in the overall knowledge flows. The findings should provide valuable implications for innovation policy making and design of NIS in Korea.
机译:了解行业间的知识流动为构建知识集群和设计国家创新系统(NIS)奠定了基础。所衡量的知识类型可以区分为体现的知识流和不体现的知识流。丰富的知识流是通过购买结合了新技术的机械,设备和组件来实现的;无形的知识流是通过人员流动和研究溢出传播知识的过程。以前确定产业集群的尝试主要集中在体现的知识流上。本研究旨在利用专利引用关系作为无形知识流的代理来确定韩国制造业中的产业集群。确定的六个集群是:以供应商为主,材料密集型,机械密集型,基于化学品,基于信息/精度和基于电气/电子的集群。通过各种专利指标对这六个集群的技术特征进行了研究。构建集群间知识网络以识别每个集群在整体知识流中的角色。这些发现将为韩国的NIS创新政策制定和设计提供有价值的启示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号