知识网络成员合作行为策略选择研究

科研管理 ›› 2012, Vol. 33 ›› Issue (11): 144-151.

知识网络成员合作行为策略选择研究

张宝生, 张庆普, 王晓红

哈尔滨工业大学经济与管理学院,黑龙江哈尔滨 150001

收稿日期:2011-03-15 修回日期:2011-10-18 出版日期:2012-11-27 发布日期:2012-11-21
基金资助:
国家自然科学基金资助项目(项目批准号71073039);国家自然科学基金资助项目(项目批准号60940005);高等学校博士学科点专项科研基金资助课题(20092302110031)。

The strategy choice of cooperative behavior among the members in the knowledge network

Zhang Baosheng, Zhang Qingpu, Wang Xiaohong

School of Economy and Management, Harbin Institute of Technology, Harbin 150001,China

Received:2011-03-15 Revised:2011-10-18 Online:2012-11-27 Published:2012-11-21

摘要/Abstract

摘要： 成员间的合作是知识网络顺利运行的基础,研究合作前提下的成员行为策略具有重要意义。在成员合作的条件下,网络内节点为了提高自身的知识存量,将时间、精力、经费等投入要素在知识转移、合作创新、自主学习和自主创新等不同的行为上进行合理的分配以获取最大的知识增量。从知识转移和合作创新的预期收益函数入手,通过对几种行为收益的综合分析,并考虑到风险因素,讨论在不同情况下成员要素投入的最佳策略。并对五个节点的知识网络G进行例证分析,对问题进一步的说明。

关键词: 知识网络, 成员合作, 知识转移, 知识创造, 策略选择

Abstract: Cooperation between members is the foundation for successfully operating knowledge network. It possesses the important meaning for researching the behavior strategy of members on the premise of cooperation. Under the member cooperates condition, network node distributes input elements, such as time, energy, funds, etc., between the different behaviors, such as knowledge transfer, cooperation innovation, independent study, and independent innovation in order to maximize its knowledge increment. Starting with the analysis on the expected return functions of knowledge transfer and cooperation innovation, the member’s optimum strategy choice on the premise of cooperation is discussed through the comprehensive analysis on the returns and risk factors under different situations. By taking knowledge network G with five nodes as an example, the question is further analyzed.

Key words: knowledge network, member cooperation, knowledge transfer, knowledge creation, strategy choice

中图分类号:

F224

张宝生, 张庆普, 王晓红. 知识网络成员合作行为策略选择研究[J]. 科研管理, 2012, 33(11): 144-151.

Zhang Baosheng, Zhang Qingpu, Wang Xiaohong. The strategy choice of cooperative behavior among the members in the knowledge network[J]. Science Research Management, 2012, 33(11): 144-151.

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