Knowledge Flow Effect Measure of University-Industry Cooperation Based on GERT Network

doi:10.12005/orms.2016.0075

Operations Research and Management Science ›› 2016, Vol. 25 ›› Issue (2): 282-287.DOI: 10.12005/orms.2016.0075

• Management Science • Previous Articles

Knowledge Flow Effect Measure of University-Industry Cooperation Based on GERT Network

ZHANG Yu^1,2, JIAN Li-rong¹, YU Han-zi¹

1.College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2.School of Business, Jinling Institute of Technology, Nanjing 211169, China

Received:2014-01-23 Online:2016-04-25

基于GERT网络的产学研知识流动效应度量

张瑜^1,2,菅利荣¹,于菡子¹

1.南京航空航天大学经济与管理学院,江苏南京 210016;
2.金陵科技学院商学院,江苏南京 211169

作者简介:张瑜(1980-),女,江苏常州人,博士研究生,讲师,研究方向:产学研合作,知识管理;菅利荣(1968-),女,内蒙古集宁人,教授,博士生导师,研究方向:不确定性评价、预测与决策理论方法,科技创新管理与科技创新网络;于菡子(1988-),女,江苏南京人,硕士研究生,研究方向:供应商管理,知识管理。
基金资助:
国家自然科学基金项目(71573124;71173104);国家自然科学青年基金项目(71502073);教育部人文社会科学基金项目“我国高校科技中介集成化服务体系的运行模式研究”(09YJA630067);国家人文社科重大基金项目(14YJC630120);江苏省高校哲学社会科学研究重点项目(2012ZDIXM030);国家社会科学基金项目“知识产权贸易对我国实施创新驱动战略的影响及政策研究”(13CJY099)

Abstract

Abstract: Knowledge flow effect measure of University-industry cooperation(UIC)is always a difficult problem. Based on GERT network and synergetics, the paper searches the method of knowledge flow effect measure. According to knowledge flow characteristics, it analyzes knowledge flow effect by using probability and moment generating function of GERT network. For getting the distribution type of moment generating function, using synergetics theory, the paper analyzes internal factors and external factors of UIC and builds up knowledge flow equation changing over time that is used as moment generating function. At the same time, taking landing gear system of large airplane research an example, using expert investigation method to get initial data , it analyzes knowledge flow effect by the method. By analyzing knowledge flow of GERT network model, it can supply the important information of knowledge value-added amount and flow smoothness to help the decision-maker take positive measures for completing research projects timely and quality.

Key words: knowledge flow, university-industry cooperation, GERT network, synergetics

摘要： 产学研合作中的知识流动效应度量一直是一个难题,本文以GERT网络与协同学为理论基础,寻求知识流动效应度量的方法。为此,根据知识流动特性,利用GERT网络中的实现概率及矩母函数参量来解析知识流动效应。为了得到矩母函数的分布类型,利用协同学,分析了影响产学研合作的内外因素,建立起随时间变化的知识流动方程,并以此方程作为矩母函数。同时,以大型飞机起落架系统研制为案例,利用专家调查法获取初始数据,并运用前述方法进行知识流动效应分析。通过GERT网络模型对知识流动进行测度,提供了产学研项目研制过程中知识增值大小、流动的顺畅性等重要信息,以此帮助决策者为保证研制项目的按时按质完成采取积极对应措施。

关键词: 知识流动, 产学研合作, GERT网络, 协同学

CLC Number:

G302

ZHANG Yu, JIAN Li-rong, YU Han-zi. Knowledge Flow Effect Measure of University-Industry Cooperation Based on GERT Network[J]. Operations Research and Management Science, 2016, 25(2): 282-287.

张瑜,菅利荣,于菡子. 基于GERT网络的产学研知识流动效应度量[J]. 运筹与管理, 2016, 25(2): 282-287.

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Knowledge Flow Effect Measure of University-Industry Cooperation Based on GERT Network

基于GERT网络的产学研知识流动效应度量

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