开放创新搜索、知识转移与创新绩效——基于无标度加权网络的仿真研究

发布时间：2018-04-04 00:02

本文选题：无标度加权网络　切入点：创新搜索　出处：《科学学研究》2017年07期

【摘要】：现有关于网络环境下的创新搜索研究大都构建在无权静态网络的基础上,且假设创新搜索与知识转移是两个相互独立的行为过程。为更加真实的再现创新网络中的创新搜索、知识转移、知识创新的整体行为机制,现基于无标度加权动态网络,采用仿真建模的方法,以揭示创新网络中知识动态增长的演化规律,探究创新搜索与创新网络、创新绩效之间的内在关系。研究发现:无论基于何种搜索策略,创新网络演化的路径基本相同,且最终网络演化将达到均衡;网络联结密度与网络平均知识存量存在倒U型关系,而网络关系强度与网络平均知识存量呈正相关关系,同时创新搜索策略对网络平均知识存量以及知识创新的水平均具有显著影响关系。
[Abstract]:Most of the existing researches on innovation search under the network environment are based on the powerless static network and assume that innovation search and knowledge transfer are two independent behavior processes.In order to reproduce the whole behavior mechanism of innovation search, knowledge transfer and knowledge innovation in the innovation network more realistically, based on the scale-free weighted dynamic network, the simulation modeling method is adopted.In order to reveal the evolution law of knowledge dynamic growth in innovation network, the inherent relationship between innovation search and innovation network and innovation performance is explored.It is found that the path of innovation network evolution is basically the same, and eventually the network evolution will reach equilibrium, and the relationship between the network connection density and the average knowledge stock of the network is inversely U-shaped.However, the strength of network relationship is positively correlated with the average knowledge stock of the network, and the innovation search strategy has a significant influence on the average knowledge stock and the level of knowledge innovation.
【作者单位】：南京航空航天大学经济与管理学院;扬州大学广陵学院;常州大学商学院;
【基金】：国家社科基金资助项目(16BTQ080) 江苏省社科基金重点项目(15GLA001) 校级创新基金(kfjj20150904)
【分类号】：F272;F273.1

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