摘要
技术创新网络在演化中表现出的高度不稳定严重削弱网络的创新输出,探索其演化动力有助于网络重构、提升网络绩效。文章区分网络关系形成和关系解散过程,综合外生节点属性和内生结构依赖,基于TERGMs(时序指数随机图模型)构建技术创新网络演化动力模型,并从生命周期视角下,对OLED(有机发光二极管显示技术)技术创新网络进行实证研究。实证结果表明:企业的技术创新能力在孕育期和成长期对合作关系形成具有显著积极作用,边共享伙伴在成长期显著积极影响关系形成,度扩展和度共享伙伴则在成熟期和再生期显著负向影响关系建立和关系解散过程。最后借助收敛性诊断和拟合优度检验验证了该模型的有效性。
In order to realize the resource sharing and risk sharing during research and development, enterprises have joined in the technological innovation network to share and exchange resources, and jointly develop new products. But in reality, the technological innovation network is always in a state of dynamic evolution under the influence of various factors in industrial life cycle. This instability seriously weakens the innovation performance of the network, which not only affects the structure and function of the technological innovation network, but also affects the behavior of each individual in the network, and ultimately affects the success of technological innovation. Exploring evolutionary motivation of technological innovation network is helpful to network reconfiguration and performance improvement. Although the current research has achieved some positive results, the evolution of innovation network is not only reflected in the formation of new relationship, but also in the dissolution of old relationship. When the target node is invalid or inaction, it will be moved from the cooperative relationship, or even eliminated by the network. The research on the factors of relationship dissolution is insufficient, and it is not clear whether the factors driving the relationship formation and the dissolution are consistent. Based on the life cycle theory, the factors that dominate the evolution of technological innovation network are different at different stages of industrial development. It is also necessary to further explore the factors that play a role in the formation of relationships and the dissolution of relationships at different stages of industrial development. This paper makes up for the shortcoming of previous research and constructs an evolution dynamics model of technological innovation network based on TERGMs(Temporal Exponential Random Graph Models) by integrating firm exogenous covariates and endogenous structural variables, distinguishing the process of network relationship formation and dissolu
作者
刘晓燕
王晶
单晓红
Liu Xiaoyan;Wang Jing;Shan Xiaohong(College of Economics and Management,Beijing University of Technology,Beijing 100124,China)
出处
《科研管理》
CSSCI
CSCD
北大核心
2020年第4期171-181,共11页
Science Research Management
基金
国家社会科学基金项目(17AGL009,2017.07-2020.12)
国家社会科学基金项目(17BGL020,2017.07-2019.12)。
