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Knowledge integration: its relation to organisational learning, to knowledge management (KM) methods (e.g. BSC) and to measuring the benefits of KM

机译:知识整合:其与组织学习,知识管理(KM)方法(例如BSC)以及衡量KM收益的关系

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In the sequel I shall argue to consider "knowledge integration" as the successor concept to knowledge management (KM for short). - Why so? If we take up the explication of "implicit knowledge" as one essential ingredient in knowledge management, then it may be clear that the distribution and application of that implicit knowledge in order to solve certain problems and improve the performance etc .would be essential to the success of management. [The technical core is the scheme LIR below which is used to externalise and represent tacit/implicit knowledge in a new way - transgressing the limits of experts systems.] But what is really important is that the application of all those technical means [the tools to provide knowledge] has to take into account the situation of the people to apply that kind of knowledge, i.e. the problem is how can one integrate both the explicated knowledge in a system or work and how can one make am appropriate "sense" of the data/information provided (interpret them, give meaning to them). This point links up neatly with ideas proposed by Peter Senge, Brian Arthur and others in a joint workshop by SoL (Society of Organizational Learning) and MacKinsey (in 2001) concerning new forms of leadership and new Economics in general.
机译:在续篇中,我将争辩为将“知识集成”视为知识管理(简称KM)的后继概念。 - 为什么这样?如果我们把“隐性知识”作为知识管理中的一个基本要素,那么很显然,为了解决某些问题并提高绩效等,隐性知识的分布和应用对于该知识管理将是必不可少的。管理成功。 [技术核心是下面的LIR方案,该方案用于以新的方式外部化和表示默认/隐式知识-超越专家系统的限制。]但是,真正重要的是所有这些技术手段的应用[这些工具[提供知识]必须考虑人们使用这种知识的情况,即问题是如何将既有的知识整合到系统或工作中,以及如何使人们对这些知识进行适当的“感知”。提供的数据/信息(解释它们,赋予它们含义)。这一点与彼得·塞格(Peter Senge),布莱恩·阿瑟(Brian Arthur)等人在组织学习学会(SoL)和麦肯锡(2001年)联合举办的关于新型领导形式和新经济学的联合研讨会上提出的想法紧密地联系在一起。

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