摘要
[目的/意义]数据时代给社会各行业、各领域均带来了变革,同时也给传统的知识管理研究带来了挑战,为更好地适应新的时代环境,知识管理需要重新认识和定位,并就面临的挑战和变革迎接和拥抱新技术。[方法/过程]分析知识管理在大数据时代的作用,探讨大数据时代知识管理的方法以及面临的挑战,并结合实际提出知识管理在数据时代的发展方向。[结果/结论]知识管理在数据时代并没有消失,大数据的发展推动了知识管理过程从传统向技术的转型,大数据虽然在显性知识管理上有重大突破,但是在隐性知识管理上依然是一个亟待解决的问题,新时代的知识管理,更加强调技术应用,更加强调从数据中提炼知识价值的能力。
[Purpose/significance]The period of big data has brought changes to all industries and fields of the society,as well as challenges to traditional knowledge management research.In order to adapt to the new era environment better,knowledge management needs to be re-recognized and re-positioned,and to meet and embrace new technologies on the challenges and changes it faces.[Method/process]This paper analyzed the role of knowledge management in the era of big data,discussed the methods and challenges of knowledge management in the era of big data,and put forward the development direction of knowledge management in the era of big data based on the reality.[Result/conclusion]Knowledge management has not disappeared in the data age.The development of big data has promoted the transformation of knowledge management process from traditional to technical.Although big data has made a major breakthrough in explicit knowledge management,it is still a problem needs to be solved in tacit knowledge management.Knowledge management in the new era emphasizes technology application and the ability of extracting the value of knowledge from the data.
作者
张斌
熊奥
Zhang Bin;Xiong Ao(School of Information Resource Management,Renmin University of China,Beijing 100872;School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100089)
出处
《知识管理论坛》
2020年第4期219-226,共8页
Knowledge Management Forum
关键词
数据时代
知识管理
技术变革
隐性知识
data age
knowledge management
technological change
tacit knowledge
