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创新研究系统隐性知识生成转化反馈环特性仿真分析
引用本文:祝琴,贾晓菁,周小刚.创新研究系统隐性知识生成转化反馈环特性仿真分析[J].系统工程理论与实践,2015,35(7):1816-1833.
作者姓名:祝琴  贾晓菁  周小刚
作者单位:1. 南昌大学 管理学院 管理科学与工程博士后流动站, 南昌 330031;2. 中央财经大学, 北京 100081;3. 华东交通大学 经管学院, 南昌 330013
基金项目:国家自然科学基金(71261018, 71171208, 71461010); 国家社会科学基金(11BGL042); 江西省软科学研究计划项目(20141BBA10035); 江西省博士后研究人员科研项目(2013KY58); 江西省"十二五"重点学科管理科学与工程资助
摘    要: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.

关 键 词:创新研究系统  隐性知识反馈环特性  仿真分析  组织管理系统动力学  
收稿时间:2014-08-12

Simulation analysis of the tacit knowledge generation and conversion feedback loop characteristics of innovative research system
ZHU Qin,JIA Xiao-jing,ZHOU Xiao-gang.Simulation analysis of the tacit knowledge generation and conversion feedback loop characteristics of innovative research system[J].Systems Engineering —Theory & Practice,2015,35(7):1816-1833.
Authors:ZHU Qin  JIA Xiao-jing  ZHOU Xiao-gang
Affiliation:1. Post-Doctoral Program Management Science and Engineering, School of Management, Nanchang University, Nanchang 330031, China;2. Central University of Finance and Economics, Beijing 100081, China;3. School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
Abstract:The tacit knowledge feedback loop structure is the core structure of innovative research system, by use of organization and management system dynamics simulation technology, it is conducting the tacit knowledge feedback loop characteristic simulation analysis, taking Nanchang University system dynamics research innovation team for example, there are five core variables of the innovative research system, the amount of tacit knowledge, explicit knowledge, innovation investment, innovative result, and the number of team members, the five rate variable fundamental in-tree model is built, its equivalent flow graph model is constructed. Where flow level controls flow rate, by applying the branch vector ranks new add feedback loop calculation algorithm, the number of the first category tacit knowledge feedback loops is five, which contains innovations flow level in effect generated inflow rate, at the same time, the second class positive feedback loops are counted 10, which include the number of team on the effect on tacit knowledge generated inflow rate; then, through the simulation curve and simulation data, the first category polar shift feedback loop simulation analysis and dominant feedback loop transferring simulation analysis are respectively finished, similarly, the second category positive feedback loop effects are analyzed, and the restrictive relationship between "the low original innovation" and these ten positive feedback loop constraints are researched; in the end, based on the above fifteen feedback loop simulation results, four innovative research system development countermeasures are presented.
Keywords:innovative research system  tacit knowledge feedback loop characteristics  simulation analysis  organization and management system dynamics
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