知识存量的动态量化测度研究  

Research on Dynamic Quantitative Measure of Knowledge Stock

作　　者：魏玲[1] 郭新朋[1] 

机构地区：[1]哈尔滨理工大学管理学院,黑龙江哈尔滨150040

出　　处：《科技进步与对策》2018年第5期120-125,共6页Science & Technology Progress and Policy

基　　金：国家自然科学基金项目(71272191)

摘　　要：为解决知识异质性造成的知识存量测度复杂性问题,提高隐性知识提取率,在构建知识存量动态激活模型基础上,以自动阈值调节为手段,对知识广度与深度进行度量,实现知识动态量化。以中关村云计算产业联盟作为研究对象进行实证分析,结果表明基于动态量化改进的知识存量测度方法能够提高隐性知识提取率,证明了提高联盟知识存量水平方法的有效性。In order to solve the complicated problem of knowledge stock measure which caused by knowledge heterogeneity,the extraction rate of tacit knowledge is improved.This paper takes the automatic threshold adjustment as a means to measure the breadth and depth of knowledge and realize the dynamic quantization of knowledge based on the dynamic activation model of knowledge stock.The experimental results show that the knowledge quantization method based on dynamic quantization can improve the extraction rate of tacit knowledge and prove the effectiveness of the method to improve the level of knowledge in alliance.

关 键 词：知识网络 知识存量 动态量化 

分 类 号：G302[文化科学]