基于网络嵌入的战略性新兴产业新熊彼特式发展的动力学机制

Dynamic Model and Simulation for Neo-Schumpeterian Development of Strategic Emerging Industries Based on Network Embeddedness

基于双元创新结构刻画战略性新兴产业研发企业技术创新的微观行为,平衡战略性新兴产业探索式和开发式创新双元性,提出战略性新兴产业演进的新熊彼特创新发展通道;并将研发合作网络结构拓展至“关系-结构-位置”3种嵌入模式,采用计算机仿真和统计分析相结合的方法,深入研究网络嵌入模式选择对双元创新偏好下研发合作网络创新绩效的影响,以及环境复杂性和波动性特征在上述过程中的调节效应.研究发现:考虑到地理位置的邻近性,无论是开发式还是探索式创新偏好研发合作网络,位置嵌入模式总是最有利于其长期创新绩效的提升;而环境波动性和复杂性特征对创新绩效产出具有短期调节作用,且在一定程度决定结构嵌入模式更有助于增强开发式创新偏好研发合作网络的短期绩效,而位置嵌入则更有助于提升探索式创新偏好研发合作网络的短期绩效.

This paper models micro behavior of technical innovation in strategic emerging industries based on ambidextrous innovation, and proposes that the Neo-Schumpeterian development of strategic emerging industries should consider how to balance explorative and exploitative innovation. By using three types of network embeddedness (relational, structural, and positional embeddedness) to depict the evolution mechanism of R&D collaboration network, it investigates both the direct effects of network embeddedness and the moderate effects of environmental complexity and turbulence on innovation performance of R&D collaboration network under different orientations of ambidextrous innovatio n. The results of computational simulation and statistics analysis show that positional embeddedness, which is related to location network with geographic proximity, is the best option to promote the long-term innovation performance of both explorative and exploitative oriented R&D collaboration network. Moreover, the turbulence and complexity of environment have short-term moderate effects on the relationship between network embeddedness and innovation performance. To some extent, such effects lead structural and positional embeddedness to be the best choice for enhancing the short-term performance of exploitative and explorative oriented R&D collaboration network respectively.