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隐性知识反馈环结构是创新研究系统的核心结构,运用组织管理系统动力学理论,进行科研创新系统隐性知识生产转化系统仿真研究,以南昌大学系统动力学创新团队研究系统为例,分析确定该系统的隐性知识量、显性知识量、创新投资量、团队人员数和创新成果量五个核心变量,运用新建的逐枝建模和逐树仿真技术建立五棵流率基本入树模型及其等价流图模型.运用枝向量行列式新增反馈环计算法,计算出系统包含创新成果流位作用于隐性知识流入率的第一类反馈环五条,团队成员数作用于隐性知识流入率第二类正反馈环十条.然后,结合模型的仿真曲线和仿真数据,对第一类反馈环进行极性转移仿真分析和主导反馈环转移仿真分析,对第二类正反馈环进行正反馈环的作用分析,以及“原始创新度”低对这十条正反馈环的制约分析,并基于上述十五条反馈环特性仿真分析结果提出四条创新研究系统发展对策.
The tacit knowledge feedback loop structure is the core structure of innovation research system. Using the theory of organization management system dynamics, the tacit knowledge feedback loop structure is used to simulate the tacit knowledge production and transformation system. Taking Nanchang University system dynamics innovation team research system as an example, The five core variables of tacit knowledge, explicit knowledge, innovative investment, team staff and innovation achievements of the system are as follows: five new tree models of flow rate are established by using new branch-by-branch modeling and tree-by-tree simulation And its equivalent flow graph model.Using the new feedback loop algorithm of branch-vector determinant, we calculate the first type feedback loop that the system includes the flow of innovation results and the inflow rate of tacit knowledge, and the number of team members affects the implicit Knowledge inflow rate of the second type of positive feedback loop 10. Then, combined with the simulation curve and simulation data of the model, the first type of feedback loop simulation analysis of the polarity transfer and dominant feedback loop transfer simulation analysis of the second type of positive feedback loop The role of positive feedback loop analysis, and “original degree of innovation ” low on the ten positive feedback loop control analysis, and based on the fifteen feedback loop characteristics of the simulation Analysis results are presented four innovative research system development countermeasures.