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微观组织创新网络密度演化对创新绩效影响机理研究--基于MRQAP模型
引用本文:吕波,齐美茹,谷巧玲.微观组织创新网络密度演化对创新绩效影响机理研究--基于MRQAP模型[J].科技管理研究,2021,41(13):8-16.
作者姓名:吕波  齐美茹  谷巧玲
作者单位:北京物资学院商学院,北京 101149
基金项目:北京市社会科学基金重点项目“北京市众创空间创新动力源的激发、传导与扩散机制研究”(17GLA007,2018-2020)
摘    要:以微观组织麻省理工学院为研究对象,对1998年以来不同的时间窗口进行产学研合作创新网络密度演化的特征研究,对创新网络密度与创新绩效的关系作了统计、分析,并采用MRQAP模型作进一步实证剖析.结果表明创新网络密度呈现先增加达到阈值、后缓慢下降的趋势;创新网络密度与创新绩效表现出"反C型"的特征,即密度达到阈值后,创新网络将呈现出明显冗余性,造成资源分配不合理、信息重复获取、沟通成本增加以及网络活性降低等负面效应.启示产学研合作的微观组织要科学识别并主动优化合作创新网络关系以求创新绩效最佳化.对微观组织的产学研合作创新网络如何优化、提高创新绩效具有指导意义.

关 键 词:产学研合作  微观组织  创新网络密度  创新绩效  机理
收稿时间:2020/11/4 0:00:00
修稿时间:2020/11/20 0:00:00

Research on the influence mechanism of the evolution of micro organization innovation network density on innovation performance--Based on MRQAP model
Lv Bo,Qi Meiru,Gu Qiaoling.Research on the influence mechanism of the evolution of micro organization innovation network density on innovation performance--Based on MRQAP model[J].Science and Technology Management Research,2021,41(13):8-16.
Authors:Lv Bo  Qi Meiru  Gu Qiaoling
Abstract:Taking MIT as the research object, this paper studies the evolution characteristics of the network density of Industry-University-Research cooperation innovation network in different time windows since 1998. The relationship between innovation network density and innovation performance is analyzed and the MRQAP model is used to make further empirical analysis. The results show that the density of innovation network is increasing to the threshold first and then slowly decreasing; the density of innovation network and innovation performance show the characteristics of "anti C type", that is, after the density reaches the threshold, the innovation network will show obvious redundancy, which will cause unreasonable resource allocation, repeated information acquisition, increased communication cost and reduced network activity. It is suggested that the micro organizations of cooperation in Industry-University-Research should scientifically identify and actively optimize the cooperative innovation network relationship in order to optimize the innovation performance. This paper is of great significance to how to optimize and improve the innovation performance of the cooperative innovation network of production, learning and research in micro organizations.
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