伙伴选择方式对创新网络绩效影响的仿真

Simulation studies on the impact of partner selection pattern on performance of innovation networks

分别基于社会资本和知识互补性2种不同的伙伴选择方式构建了创新网络的仿真模型,着重比较了2种伙伴选择方式对于创新网络绩效的影响.结果表明:当创新破坏程度较低时,吸收对于网络中的知识流动起主导调节作用,基于社会资本选择合作伙伴形成的创新网络,其创新绩效优于根据知识互补性选择伙伴形成的创新网络;而当创新的破坏程度较高时,网络中知识流动主要由创新驱动,根据知识互补性选择合作伙伴形成的创新网络其创新绩效更高.

The paper constructs two different partner selection process models on the base of social capital and knowledge complementarities respectively. Then we build a simple simulation model of innovation networks, and focus on the relationship between the pattern of partner selection and performance of innovation networks.The results show that when innovation is incremental,the dominant source of movement in knowledge space is learning,and the innovation networks based on social capital consideration have more performances than that of the innovation net-works on the basis of knowledge complementarities.Whereas in a more disruptive innovation regime,it is innovation that dominates firms？movements in knowledge space,and the innovation networks on the basis of knowledge comple-mentarities perform better.