跨组织网络中的知识流动性与知识专属性对创新绩效的影响研究
发布时间：2018-10-15 13:24
【摘要】：文章针对中小型创新企业的特点,以复杂系统的视角,对京津冀地区358个中小企业进行调研和分析,结果显示中小型企业相比局部学习网络来说,更愿意与以市场为基础的利益相关者建立市场网络联系,也就是与供应商的网络化更有利于创新性。尽管与局部学习网络的交互有限,但局部学习网络中的研发外包有利于创新。那些非正式知识产权,与正式的版权和商标一样,都会增加创新性。这些正式和非正式的知识产权保护方法增强了知识专属性,对于利益相关者来说,提供了创新的保障,降低了知识共享的顾虑,然而从复杂系统的角度来说,知识专属性对于知识的流动起到了阻碍的作用,阻碍创新网络建立起一个积极的反馈循环系统,阻碍了分散的知识聚集到一起进行突破性的创新。
[Abstract]:According to the characteristics of small and medium-sized innovative enterprises, this paper investigates and analyzes 358 small and medium-sized enterprises in Beijing-Tianjin-Hebei region from the perspective of complex system. The results show that the small and medium-sized enterprises compare with the local learning network. More willing to establish market network with market-based stakeholders, that is, networking with suppliers is more conducive to innovation. Although interaction with local learning networks is limited, R & D outsourcing in local learning networks is conducive to innovation. Those informal intellectual property rights, like formal copyrights and trademarks, add innovation. These formal and informal approaches to intellectual property protection enhance knowledge specificity, provide innovative safeguards for stakeholders and reduce concerns about knowledge sharing, but from a complex system perspective, Knowledge specificity hinders the flow of knowledge, hinders the innovation network to set up a positive feedback loop system, and prevents the scattered knowledge to gather together to carry on the breakthrough innovation.
【作者单位】： 河北地质大学;
【基金】：教育部人文社会科学研究青年基金项目“转型经济下跨组织网络促动、知识异质度与企业知识创新能力研究”(13YJC630173) 河北省高等学校青年拔尖人才项目“地域知识资本对区域创新集群成长影响的路径研究”(BJ2016062)
【分类号】：F272;F273.1
本文编号：2272685
[Abstract]:According to the characteristics of small and medium-sized innovative enterprises, this paper investigates and analyzes 358 small and medium-sized enterprises in Beijing-Tianjin-Hebei region from the perspective of complex system. The results show that the small and medium-sized enterprises compare with the local learning network. More willing to establish market network with market-based stakeholders, that is, networking with suppliers is more conducive to innovation. Although interaction with local learning networks is limited, R & D outsourcing in local learning networks is conducive to innovation. Those informal intellectual property rights, like formal copyrights and trademarks, add innovation. These formal and informal approaches to intellectual property protection enhance knowledge specificity, provide innovative safeguards for stakeholders and reduce concerns about knowledge sharing, but from a complex system perspective, Knowledge specificity hinders the flow of knowledge, hinders the innovation network to set up a positive feedback loop system, and prevents the scattered knowledge to gather together to carry on the breakthrough innovation.
【作者单位】： 河北地质大学;
【基金】：教育部人文社会科学研究青年基金项目“转型经济下跨组织网络促动、知识异质度与企业知识创新能力研究”(13YJC630173) 河北省高等学校青年拔尖人才项目“地域知识资本对区域创新集群成长影响的路径研究”(BJ2016062)
【分类号】：F272;F273.1
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