Generative Artificial Intelligence in Knowledge Management Systems
Concepts, Design, and Case Studies
1st Edition
Will be published approx. on 29. June 2026
Book
Hardback
266 pages
978-1-041-07522-6 (ISBN)
Description
This book looks at generative artificial intelligence (GAI) and knowledge management systems (KMS). It explains the design considerations to implement generative AI in practice.
The book looks at the evolving digital environment and discusses how organizations may effectively manage knowledge through emerging technologies. Chapters cover theory, design, and implementation and case studies from industry players. These case studies will focus on organization implementation experiences to draw out applicable frameworks, principles, and best practices. This provides readers with essential insights into future technology development trends.
Providing a methodological approach to designing and deploying GAI-based KMS in business, this book will appeal to academic researchers, industrial practitioners, students, and anyone interested in GAI-based KMS.
The book looks at the evolving digital environment and discusses how organizations may effectively manage knowledge through emerging technologies. Chapters cover theory, design, and implementation and case studies from industry players. These case studies will focus on organization implementation experiences to draw out applicable frameworks, principles, and best practices. This provides readers with essential insights into future technology development trends.
Providing a methodological approach to designing and deploying GAI-based KMS in business, this book will appeal to academic researchers, industrial practitioners, students, and anyone interested in GAI-based KMS.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
12 s/w Tabellen, 39 s/w Zeichnungen, 39 s/w Abbildungen
12 Tables, black and white; 39 Line drawings, black and white; 39 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-041-07522-6 (9781041075226)
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
Additional editions
Gang Liu | Jin Chen | Eric Tsui
Generative Artificial Intelligence in Knowledge Management Systems
Concepts, Design, and Case Studies
E-Book
approx. 06/2026
1st Edition
Routledge
€60.49
Available for download
Gang Liu | Jin Chen | Eric Tsui
Generative Artificial Intelligence in Knowledge Management Systems
Concepts, Design, and Case Studies
E-Book
approx. 06/2026
1st Edition
Routledge
€60.49
Available for download
Persons
Gang Liu is Associate Professor at the Business School, Shenzhen Technology University, China.
Jin Chen is Professor at the School of Economics and Management, Tsinghua University, China.
Eric Tsui is Professor and Senior Fellow at the Education Development Centre, Hong Kong Polytechnic University, Hong Kong, China.
Jin Chen is Professor at the School of Economics and Management, Tsinghua University, China.
Eric Tsui is Professor and Senior Fellow at the Education Development Centre, Hong Kong Polytechnic University, Hong Kong, China.
Content
Preface: How will next-generation KMS revolutionize your business? 1. Unleashing human potential with knowledge creation theory: Enhancing tacit knowledge in the age of generative AI for humanizing innovation 2. Key knowledge management inputs to make GenAI successful 3. KMS and AI: Current research and future direction 4. A conviviality-based assessment of the socio-technical implications of GenAI on knowledge work 5. A GenAI-based KMS - Conceptual foundation and design 6. Design of a GenAI-based KMS in practice 7. AI-oriented KM implementation paradigm in enterprise -RAG 8. Harnessing AI in corporate training: Transforming KM and workforce development 9. New enterprise KM practices driven by GenAI 10. A collaborative journey of AI and KM at the national insurance institute of Israel 11. GenAI-driven KM Systems deeply empower investment banks