Becoming knowledge-powered: Planning the transformation

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Resources Management Journal Pub Date : 2000-01-01 DOI:10.4018/978-1-931777-00-1.CH018

D. Pollard

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引用次数: 17

Abstract

Copyright © 2000, Idea Group Publishing. In this article, Dave Pollard, Chief Knowledge Officer at Ernst & Young Canada since 1994, relates the award-winning process his firm has used, and which many of the corporations that have visited the Centre for Business Knowledge in Toronto are adapting for their own needs, to transform the company from a knowledge-hoarding to a knowledge-sharing enterprise. The article espouses a five-phase transformation process: • Developing the Knowledge Future State Vision, Knowledge Strategy and Value Propositions • Developing the Knowledge Architecture and Determining its Content • Developing the Knowledge Infrastructure, Service Model and Network Support Mechanisms • Developing a Knowledge Culture Transformation Program • Leveraging Knowledge into Innovation The author identifies possible strategies, leading practices, and pitfalls to avoid in each phase. He also explores the challenges involved in identifying and measuring intellectual capital, encouraging new knowledge creation, capturing human knowledge in structural form, and enabling virtual workgroup collaboration.

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以知识为动力:规划转型

版权所有©2000，创意集团出版。在这篇文章中，自1994年以来担任安永加拿大首席知识官的Dave Pollard，讲述了他的公司使用的屡获殊荣的流程，许多访问多伦多商业知识中心的公司都根据自己的需要进行了调整，将公司从知识囤积型企业转变为知识共享型企业。本文支持五个阶段的转型过程:•开发知识未来状态愿景，知识战略和价值主张•开发知识架构并确定其内容•开发知识基础设施，服务模型和网络支持机制•开发知识文化转型计划•利用知识进行创新作者确定了每个阶段可能的策略，领先的实践和陷阱。他还探讨了识别和衡量智力资本、鼓励新知识创造、以结构形式获取人类知识以及实现虚拟工作组协作所涉及的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

3.60

自引率

7.10%

发文量

期刊介绍： Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management