摘要
[目的/意义]知识评价和知识型员工的知识水平评价是我国企业开展创新所面临的两大挑战。[方法/过程]提出基于大数据的知识共享的方法,试图通过相关制度、标准和平台的建设,获取知识大数据和知识评价大数据,实现知识管理全过程的可追溯以及企业员工的知识共享和知识水平的透明化。[结果 /结论 ]企业在此基础上给予公平公正的激励,使员工乐于共享知识、积极参与知识评价,最终建立透明和公平的企业环境,形成有序化的知识网络和企业员工积极共享知识的阳光氛围。
[Purpose/significance] Knowledge evaluation and knowledge workers' level evaluation are two major challenges for enterprises innovation. Knowledge sharing methods based on the big data are presented. [Method/process] Through the construction of related systems, standards and platforms, the big data about knowledge and knowledge evaluation are obtained, and the traceability of knowledge management's in the whole process and the transparency of enterprise workers' knowledge sharing and knowledge levels are obtained. On this basis, enterprises give fair and just incentives to workers and make them glad to share knowledge, active to participate in knowledge evaluation. [Result/conclusion] As a result, a transparent and fair enterprise environment with the orderly knowledge network and an excellent atmosphere in which workers share knowledge actively is built up.
出处
《知识管理论坛》
2016年第1期30-38,共9页
Knowledge Management Forum
基金
国家自然科学基金项目"智慧的低碳设计和制造一体化技术及系统研究"(项目编号:51175463)
国家自然科学基金项目"经济结构转型
研发网络化情境下企业技术创新能力演化规律研究"(项目编号:71132007)
国家"863"计划项目"中小纺织服装企业服务支撑平台开发与应用"(项目编号:2013AA040602)
浙江省自然科学基金项目"面向复杂信息系统的产品碳足迹语义建模及信息服务平台构建"(项目编号:LZ15E050003)研究成果之一
关键词
大数据
知识共享
知识评价
知识网络
知识管理
big data
knowledge sharing
knowledge evaluation
knowledge network
knowledge management
