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Coping With Continuous Change in the Business Environment: Knowledge management and knowledge management technology

Antonie Botha, Consultant, Derrick Kourie and Retha Snyman, University of Pretoria, South Africa

 - best practices for a number of knowledge management issues are discussed
 - a new technology framework for knowledge management is proposed to position and relate the different knowledge management technologies
 - written by internationally acknowledged KM researchers and practitioners

Aimed at knowledge management professionals and students in the field of knowledge management, information science, information systems and software engineering, the book provides answers to the ‘what-is’ and ‘why-is’ questions with regard to knowledge management. It investigates the concepts and elements, the drivers, and challenges involved in knowledge management. In the second part of the book the ‘how’ and ‘with-what’ characteristics of knowledge management are covered. Although knowledge management is primarily concerned with non-technical issues, this book concentrates on the technical issues and challenges. A new technology framework for knowledge management is proposed to position and relate the different knowledge management technologies as well as the two key applications of knowledge management, namely knowledge portals and knowledge discovery (including text mining).

ISBN 1 84334 355 X
ISBN-13: 978 1 84334 355 4
January 2008
272 pages  234 x 156mm  paperback  
£42.50 / US$70.00 / €50.00

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About the authors

Dr Antonie Botha gained nearly 30 years of experience during his engagement with IBM. He is currently an independent IT Architect and IT Consultant, specialising in enterprise and integration architecting and knowledge management. Prof Dr Derrick Kourie is a professor in the Department of Computer Science at the University of Pretoria, South Africa. Prof Dr Retha Snyman gained many years of experience during her engagements with various information service organisations. She is responsible for postgraduate student supervision in the Department of Information Science, University of Pretoria.

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Knowledge Management
Knowledge Management for Services, Operations and Manufacturing
The Challenges of Knowledge Sharing in Practice
Organising Knowledge

Contents

PART 1 A PERSPECTIVE OF KNOWLEDGE AND KNOWLEDGE MANAGEMENT CONCEPTS
PART 2 THE TECHNICAL PERSPECTIVE OF KNOWLEDGE MANAGEMENT

PART 1 A PERSPECTIVE OF KNOWLEDGE AND KNOWLEDGE MANAGEMENT CONCEPTS

Introduction
 - Rapid and constant change: the new business environment
 - The knowledge management idea
 - Notes

Knowledge perspectives and concepts
 - Background
 - Varieties of knowledge
 - Knowledge concepts
 - The knowledge conversion lifecycle (SECI Model)
 - Why knowledge has to be managed
 - Miscellaneous insights about knowledge
 - Summary
 - Notes

Knowledge management perspectives and concepts
 - Introduction
 - The conceptual perspective
 - The process perspective
 - The technology perspective – an overview
 - The implementation perspective
 - Positioning knowledge management, information management and business intelligence
 - Summary
 - Notes

Intellectual capital
 - Intellectual capital is not intellectual property
 - Managing the different forms of intellectual capital
 - Definition of intellectual capital
 - Intellectual capital domains
 - Closure and summary
 - Notes

Organisational learning and the learning organisation
 - Introduction
 - The knowledge-based organisation
 - Organisational learning
 - Summary
 - Notes

Knowledge management and communities of practice
 - The knowledge workplace
 - Knowledge management and collaboration
 - Communities of practice – the organisational learning space
 - Summary
 - Notes

Knowledge management best practices
 - Best or worse practices today?
 - Knowledge management in practice – success or failure
 - A model for best practice transfer
 - Summary
 - Note

Part 1: summary and conclusions
 - Introduction
 - Part 1: a summary
 - Knowledge management-related trends and implications
 - Main conclusions

PART 2 THE TECHNICAL PERSPECTIVE OF KNOWLEDGE MANAGEMENT

Introduction
 - Introduction
 - Knowledge management technology as enabler of knowledge management
 - What knowledge management technologies should do
 - What knowledge management technologies cannot do
 - Positioning knowledge management and e-business
 - Summary
 - Notes

The knowledge management technology framework
 - Introduction
 - Developing the knowledge management technology framework
 - Knowledge management technology framework categories model
 - Knowledge management technology framework enablers and technologies
 - Knowledge management technology framework applications
 - Summary
 - Note

Knowledge management technology framework infrastructure
 - Introduction
 - Knowledge management communication infrastructure
 - Knowledge bases/repositories
 - Knowledge harvesting process
 - Summary
 - Notes

Knowledge creation and sensing
 - Introduction
 - Knowledge creation
 - E-learning
 - Two sets of technologies for the knowledge conversion lifecycle
 - Summary
 - Notes

Knowledge sharing and transfer
 - Introduction
 - Collaboration and knowledge management
 - Electronic meeting systems
 - Two sets of technologies for the knowledge conversion lifecycle
 - Summary
 - Notes

Advanced search, indexing and retrieval
 - Introduction
 - Information overload
 - Search, indexing and retrieval
 - Search and retrieval using web services and ontologies
 - Information and knowledge filtering
 - Information and knowledge linking
 - Summary
 - Notes

Knowledge management technology framework applications
 - Introduction
 - Intelligent agents and knowledge management
 - Knowledge mapping
 - Expertise mapping and locating
 - Analysis and decision making
 - Summary
 - Notes

Knowledge portals
 - Introducing the knowledge management technology framework
 - (KMTF) user interface and integration platform
 - Knowledge portal concepts
 - Knowledge portal architecture
 - Summary
 - Note

Knowledge discovery
 - Introduction
 - Positioning knowledge discovery techniques and technologies
 - Data mining
 - Text (and document) mining
 - Summary
 - Notes

Summary and conclusions
 - Summary
 - Conclusions