Covering nearly all facets of Knowledge Capital, the book details the evolution and provides a clear depiction of fundamental theories, leading to the latest trends in integrating Artificial Intelligence with KM practices.
Covering nearly all facets of Knowledge Capital, the book details the evolution and provides a clear depiction of fundamental theories, leading to the latest trends in integrating Artificial Intelligence with KM practices.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Shabahat Husain is a Professor of Library and Information Science who has held the positions of Chairman, Dean, and University Librarian at Aligarh Muslim University, India and has also served as the President of the Indian Library Association over his 40 years of service. A regular contributor to international conferences and workshops, Shabahat is the founding editor of the 'Collnet Journal of Scientometrics and Information Management' (Taylor & Francis). Jean-Louis Ermine is Professor Emeritus at Institut Mines-Télécom Business School, Université Paris-Saclay, France. Author of 8 books and more than a hundred peer-reviewed articles, Jean-Louis is also founder Honorary President of the 'French Knowledge Management Club', President of 'French Academic Association for KM', was a part of the French delegation for ISO on Knowledge Management (2018/19) and has served as an expert consultant in Business Knowledge Management both in France and abroad.
Inhaltsangabe
1. Knowledge Society and Management 2. Knowledge Management Systems Design: Processes and Models 3. Organization of KM Processes with the Daisy model 4. Knowledge Value Chain, Knowledge Cycle and MASK method 5. Knowledge Management Systems Design: Case studies 6. Integrated KMS for Capitalizing and Transferring Professional Expertise: A Sonatrach version 7. KMS Standardization: Issues and challenges 8. Knowledge Management International Standards: ISO 9001, 30401 and IAEA Safety Standards 9. Evaluation of Knowledge Management System 10. Artificial intelligence and Knowledge Management
1. Knowledge Society and Management 2. Knowledge Management Systems Design: Processes and Models 3. Organization of KM Processes with the Daisy model 4. Knowledge Value Chain, Knowledge Cycle and MASK method 5. Knowledge Management Systems Design: Case studies 6. Integrated KMS for Capitalizing and Transferring Professional Expertise: A Sonatrach version 7. KMS Standardization: Issues and challenges 8. Knowledge Management International Standards: ISO 9001, 30401 and IAEA Safety Standards 9. Evaluation of Knowledge Management System 10. Artificial intelligence and Knowledge Management
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