专利合作网络与企业不连续创新绩效——基于医药制造业的实证分析

Patent cooperation network and discontinuous innovation performance of enterprises--Empirical analysis based on pharmaceutical manufacturing industry

摘要:

随着合作创新不断深入及技术跨越的频繁发生，越来越多的创新主体选择嵌入专利合作网络以实现技术创新。不连续创新作为企业技术创新的表现形式之一，能更好应对环境不确定及技术变革的影响。然而，专利合作网络特征是否影响不连续创新绩效已有研究并未探究。本文基于社会网络分析，选取我国上市医药制造企业专利合作数据，利用专利共同申请人构建企业专利合作网络，采用负二项回归模型探讨专利自我中心合作网络的特征指标对企业不连续创新绩效的影响。结果表明:自我中心网络规模、关系频率、结构洞均对企业不连续创新绩效有显著正向影响，而自我中心网络密度对企业不连续创新绩效有负向影响。

Abstract:

With the in-depth development of cooperative innovation and the frequent occurrence of technological breakthroughs, more and more innovative entities choose to embed patent cooperation networks to achieve technological innovation. As one of the signs of innovation in a company, discontinuous innovation can cope well with environmental uncertainties and the effects of technological change, therefore, the patent cooperation network and discontinuous innovation performance are worth further research. The study chooses patent cooperation data of a Chinese quoted business in pharmaceutical manufacture based on social network analysis. The patent co-applicant is utilized to build the corporate patent cooperation network, and the negative binomial regression model is used for analyzing the relationship between characteristic indicators of the self-centered patent cooperation network and the performance of discontinuous business innovation. The findings reveal that egocentric network size, relationship frequency, and structural holes are all beneficial to a firm's discontinuous innovation performance, while egocentric network density is detrimental.