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

Annie Green (George Washington University, Washington, DC, USA)

VINE

ISSN: 0305-5728

Article publication date: 1 July 2006

1432

Abstract

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.

Keywords

Citation

Green, A. (2006), "The starting block: enterprise (business) intelligence – evolving towards knowledge valuation", VINE, Vol. 36 No. 3, pp. 267-277. https://doi.org/10.1108/03055720610703560

Publisher

:

Emerald Group Publishing Limited

Copyright © 2006, Emerald Group Publishing Limited

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