每天管理一个组织处理大量的数据和信息。数据和信息并不是有用的,直到我们学会如何挖掘它的价值,而要做到这一点,我们需要知识,提供学习知识管理的原因。越来越多的数据过载知识管理已成为行业中谈论最多的话题之一。知识管理(KM)的概念出现了大约二十年前在1990年。它可能更容易,公里意味着整体组织信息和知识组织的(达文波特& Probst,2002)。但令人惊讶的是,尽管这听起来教科书样式的指定方式,整个描述仍较大。
在知识管理主要日子还是发展,达文波特和Pruzak(1998)只是公里定义为知识的实践涉及有效使用适当的忧虑和分布。然而还有另一个经常被引用Gartner集团提供的第二个定义(杜洪,1998),它定义公里作为一门学科鼓励一个有凝聚力的方法适当的识别、理解、评价和划分企业的资产的形式的信息。信息可以以文件的形式,数据库、策略、方法和专业知识的员工。
Every day management in an organisation deals with huge amount of data and information. Data and information is not useful until we learn how to dig the value out of it, and to do that we need knowledge, which provides the reason to learn knowledge management. With increasing amount of data overload knowledge management has become one of the most talked about topics in industry world. Concept of knowledge management (KM) arose approximately two decades ago in 1990. It may be easier to state that KM means holistically organizing information and knowledge of an organization (Davenport & Probst, 2002). But surprisingly even though it sounds textbook styled way of designation, entire depiction is still larger.
In primary days when knowledge management was still developing, Davenport and Pruzak (1998) simply defined KM as the practice which involves effective use of knowledge by proper apprehension and distribution. However there is another frequently quoted second definition offered by the Gartner Group (Duhon, 1998), which defined KM as a discipline which encourages a cohesive method of proper identification, apprehension, evaluation and segmentation of an enterprise’s asset in the form of information. Information may be in the form of documents, databanks, strategies, methodology and expertise of employees.
