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Principles of Knowledge Auditing: Foundations for Knowledge Management Implementation

Lambe, Patrick - Personal Name;

A comprehensive theoretical and practical guide to the operating principles of knowledge auditing, illustrated with numerous case studies.

A knowledge audit provides an “at a glance” view of an organization's needs and opportunities. Its purpose is to improve an organization's effectiveness through a better understanding of the dynamics and levers of knowledge production, access, and use. However, this developing field is hampered by the lack of a common language about the origins and nature of knowledge auditing. In Principles of Knowledge Auditing, Patrick Lambe integrates the theory and practices of the field, laying out principles and guidelines for a clearer and more pragmatic approach to knowledge auditing that makes it more accessible to practitioners and researchers.

Lambe examines knowledge auditing in the context of the development of communications, information, and knowledge management in the twentieth century. He critiques and clarifies ambiguities in how knowledge audits are approached and described, as well as how the results are conveyed within organizations. He discusses the benefits and risks of knowledge management standards. Knowledge auditors, he says, need a common frame of reference more than they need standards. Standards have their uses, but they provide only markers and signposts and are poor representations of the richness of the landscape. He concludes with a set of guiding principles for practitioners.


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Detail Information
Series Title
-
Call Number
658.403 LAM p
Publisher
: The MIT Press., 2023
Collation
-
Language
English
ISBN/ISSN
9780262373166
Classification
658.403
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
Ed. 1
Subject(s)
Knowledge Management
Specific Detail Info
-
Statement of Responsibility
Lambe, Patrick
Other Information
Cataloger
umi
Source
https://direct.mit.edu/books/oa-monograph/5579/Principles-of-Knowledge-AuditingFoundations-for
Validator
Maya
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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No other version available

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