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The starting block: enterprise (business) intelligence – evolving towards knowledge valuation

机译:起始块:企业(商业)智能–朝着知识评估的方向发展

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摘要

Purpose – This paper proposes a logical starting point to valuing knowledge within the context of the business enterprise. Design/methodology/approach – The methodology or approach to knowledge valuation is derived from empirical research based on a framework of intangible valuation areas (FIVA). The key valuation components of FIVA are used as the basis for the evolution of an enterprise knowledge valuation system (KVS). Findings – The findings of the paper are that, fundamental to implementing a KVS is the leveraging of the current enterprise environment, to uncover the intelligence that currently exists so as to make decisions and act on those decisions. This paper presents the first layer of a conceptual model that supports the development of a KVS that leverages the current enterprise environment and integrates existing systems development methods and techniques in its approach to KVS creation and implementation. Originality/value – The conceptual model – KVS Building Blocks – integrates fundamental types of models with each other to provide a holistic approach to implementing knowledge valuation in an enterprise environment. The first block in the KVS Building Blocks establishes a journey to identifying the data and information enterprise stakeholders need represented in a language they understand, to build a foundation that supports the capability of enterprise stakeholders to value knowledge within their enterprise.
机译:目的–本文提出了在企业环境中评估知识的逻辑起点。设计/方法/方法–知识评估的方法或方法是基于无形评估领域(FIVA)框架的经验研究得出的。 FIVA的关键评估组件用作企业知识评估系统(KVS)演进的基础。发现-本文的发现是,实施KVS的基础是利用当前的企业环境,以发现当前存在的情报,以便做出决策并根据这些决策采取行动。本文介绍了概念模型的第一层,该模型支持KVS的开发,该KVS利用当前的企业环境并在KVS创建和实现的方法中集成了现有的系统开发方法和技术。原创性/价值–概念模型– KVS构件块–将模型的基本类型彼此集成在一起,以提供一种在企业环境中实施知识评估的整体方法。 KVS构建基块中的第一个块建立了一个旅程,以识别企业利益相关者以他们理解的语言表示的数据和信息,从而建立一个基础,以支持企业利益相关者评估其企业内知识的能力。

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