文献类型：期刊文献

中文题名：社会网络分析促进组织结构及其知识流优化

英文题名：Social network analysis based optimization for knowledge flows planning

作者：付相君[1];彭颖红[2]

机构：[1]华东理工大学信息科学与工程学院,上海200237;[2]上海交通大学机械与动力工程学院,上海200030

年份：2007

卷号：13

期号：11

起止页码：2169

中文期刊名：计算机集成制造系统

外文期刊名：Computer Integrated Manufacturing Systems

收录：CSTPCD;;EI(收录号：20080211012817);Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金资助项目(70601019);上海市博士后基金资助项目(06R214137)。~~

语种：中文

中文关键词：知识流;知识管理;合作意愿度

外文关键词：knowledge flow;knowledge management;degree of willingness to cooperate

摘要：目前的知识流规划方法中由于缺乏考虑主体间合作意愿,降低了知识流动效率。对此,分析了主体间的知识共享关系,研究了主体间知识共享的合作意愿度。以社会网络分析技术为基础,提出了工作流规划中对知识流进行优化的方法。在满足资源约束的前提下,根据任务角色在工作流预期的知识流网络中的网络特征,优化角色指派,以提高工作流节点的知识流动效率。
Existing methods extended workflow model to design knowledge flow patterns and operations,but neglected the degree of willingness to cooperate between Agents in organizations.To realize effective knowledge sharing in teamwork,knowledge sharing relationships among Agents were analyzed.Cooperation willingness of knowledge sharing among Agents was studied.Based on social network analysis technology,an optimization approach was proposed for more effective knowledge flows planning.With resource constraint,task allocation was optimized according to its network features in knowledge flow network so as to improve knowledge flow efficiency for workflow nodes.