科技创新生态系统知识涌现机制的系统动力学研究OACHSSCD
A System Dynamics Study on the Knowledge Emergence Mechanism in Science and Technology Innovation Ecosystems
科技创新生态系统的知识涌现驱动新技术的产生与科技进步,揭示其运行机制有助于提升系统创新效能.基于复杂适应系统理论,从"个体—群体—系统"三个层次探究科技创新生态系统知识涌现过程,构建系统动力学模型并进行仿真模拟.研究发现,知识涌现过程具有递增式累积促进机制、自相似层级演化机制和正反馈创新循环机制.其中环境因素和知识主体因素均对知识涌现起正向促进作用,且环境因素的影响更为显著.在此基础上,结合 WSR 系统方法论提出科技创新生态系统知识涌现的优化措施.
Knowledge emergence in science and technology innovation ecosystems drives the generation of new technologies and scientific progress.Revealing its operational mechanisms can help improve the innovation efficiency of these ecosystems.Drawing on complex adaptive systems theory,this study investigates the process of knowledge emergence from three levels:individual,group,and system,and constructs a system dynamics model with simulation experiments.The findings reveal that the knowledge emergence process is governed by three mechanisms:an incremental cumulative promotion mechanism,a self-similar hierarchical evolution mechanism,and a positive feedback innovation cycle mechanism.Both environmental factors and knowledge subject factors positively influence knowledge emergence,with environmental factors exerting a more significant effect.Based on these findings and in light of the WSR systems methodology,this study proposes optimization measures for knowledge emergence in science and technology innovation ecosystems.
袁红;肖棠
南通大学 管理学院,江苏 南通 226019南通大学 管理学院,江苏 南通 226019
管理科学
科技创新生态系统知识涌现系统动力学复杂适应系统理论
science and technology innovation ecosystemknowledge emergencesystem dynamicscomplex adaptive systems theory
《重庆工商大学学报（社会科学版）》 2026 (5)
10-23,14
江苏省研究生科研与实践创新计划(KYCX25_3652)"公共数据开放协同网络结构特征、影响因素及优化策略研究"
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