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社会网络分析促进组织结构及其知识流优化
引用本文:付相君,彭颖红. 社会网络分析促进组织结构及其知识流优化[J]. 计算机集成制造系统, 2007, 13(11): 2169-2177,2235
作者姓名:付相君  彭颖红
作者单位:华东理工大学,信息科学与工程学院,上海,200237;上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030
基金项目:国家自然科学基金 , 上海市博士后科研奖励计划项目
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.

关 键 词:知识流  知识管理  合作意愿度
文章编号:1006-5911(2007)11-2169-09
收稿时间:2007-02-01
修稿时间:2007-05-11

Social network analysis based optimization for knowledge flows planning
FU Xiang-jun,PENG Ying-hong. Social network analysis based optimization for knowledge flows planning[J]. Computer Integrated Manufacturing Systems, 2007, 13(11): 2169-2177,2235
Authors:FU Xiang-jun  PENG Ying-hong
Abstract: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.
Keywords:knowledge flow  knowledge management  degree of willingness to cooperate
本文献已被 CNKI 维普 万方数据 等数据库收录!
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