Knowledge Management and KM Software Package
Published on 4. March 2004
Book
Mixed media product
978-0-13-109931-9 (ISBN)
Description
For graduate-level courses in Knowledge Management and Decision Support Systems.
This 17 chapter, brand new text presents a multiperspective approach to KM (Knowledge Management): it spans electrical engineering, artificial intelligence, information systems, and business. Comprehensive yet clearly and concisely written, Knowledge Management is simultaneously strong in managerial, technical, and systemic aspects of KM, providing students with the right combination of theory, technology, and solutions.
This 17 chapter, brand new text presents a multiperspective approach to KM (Knowledge Management): it spans electrical engineering, artificial intelligence, information systems, and business. Comprehensive yet clearly and concisely written, Knowledge Management is simultaneously strong in managerial, technical, and systemic aspects of KM, providing students with the right combination of theory, technology, and solutions.
More details
Language
English
Place of publication
Upper Saddle River
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Width: 241 mm
Thickness: 22 mm
Weight
836 gr
ISBN-13
978-0-13-109931-9 (9780131099319)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Irma Becerra-Fernandez | Rajiv Sabherwal | Avelino J. Gonzalez
Knowledge Management
Book
10/2003
Prentice Hall
€53.22
Article exhausted; check for reprint
Content
I. PRINCIPLES OF KNOWLEDGE MANAGEMENT.
1. Introducing Knowledge Management.
2. The Nature of Knowledge.
3. Knowledge Management Solutions.
4. Organizational Impacts of Knowledge Management.
5. Factors Influencing Knowledge Management.
6. Knowledge Management Assessment of an Organization.
II. TECHNOLOGIES FOR KNOWLEDGE MANAGEMENT.
7. Technologies to Manage Knowledge: Artificial Intelligence.
8. Preserving and Applying Human Expertise: Knowledge-Based Systems.
9. Using Past History Explicitly as Knowledge: Case-Based Systems.
10. Knowledge Elicitation-Converting Tacit Knowledge to Explicit.
11. The Computer as a Medium for Sharing Knowledge.
12. Discovering New Knowledge-Data Mining.
III. KNOWLEDGE MANAGEMENT SYSTEMS.
13. Knowledge Discovery: Systems that Create Knowledge.
14. Knowledge Capture Systems: Systems that Preserve and Formalize Knowledge.
15. Knowledge Sharing Systems: Systems that Organize and Distribute Knowledge.
16. Knowledge Application Systems: Systems that Utilize Knowledge.
IV. THE FUTURE OF KNOWLEDGE MANAGEMENT.
Epilogue. The Future of Knowledge Management.
Appendix A: Basic Computer Networks.
Glossary.
1. Introducing Knowledge Management.
2. The Nature of Knowledge.
3. Knowledge Management Solutions.
4. Organizational Impacts of Knowledge Management.
5. Factors Influencing Knowledge Management.
6. Knowledge Management Assessment of an Organization.
II. TECHNOLOGIES FOR KNOWLEDGE MANAGEMENT.
7. Technologies to Manage Knowledge: Artificial Intelligence.
8. Preserving and Applying Human Expertise: Knowledge-Based Systems.
9. Using Past History Explicitly as Knowledge: Case-Based Systems.
10. Knowledge Elicitation-Converting Tacit Knowledge to Explicit.
11. The Computer as a Medium for Sharing Knowledge.
12. Discovering New Knowledge-Data Mining.
III. KNOWLEDGE MANAGEMENT SYSTEMS.
13. Knowledge Discovery: Systems that Create Knowledge.
14. Knowledge Capture Systems: Systems that Preserve and Formalize Knowledge.
15. Knowledge Sharing Systems: Systems that Organize and Distribute Knowledge.
16. Knowledge Application Systems: Systems that Utilize Knowledge.
IV. THE FUTURE OF KNOWLEDGE MANAGEMENT.
Epilogue. The Future of Knowledge Management.
Appendix A: Basic Computer Networks.
Glossary.