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Generative Artificial Intelligence in Knowledge Management Systems: Concepts, Design, and Case Studies [Kõva köide]

Edited by , Edited by , Edited by (Tsinghua University, China)
  • Formaat: Hardback, 282 pages, kõrgus x laius: 234x156 mm, 12 Tables, black and white; 39 Line drawings, black and white; 39 Illustrations, black and white
  • Ilmumisaeg: 19-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041075227
  • ISBN-13: 9781041075226
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  • Formaat: Hardback, 282 pages, kõrgus x laius: 234x156 mm, 12 Tables, black and white; 39 Line drawings, black and white; 39 Illustrations, black and white
  • Ilmumisaeg: 19-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041075227
  • ISBN-13: 9781041075226

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.



This book looks at Generative Artificial Intelligence (GAI) and Knowledge Management Systems (KMS). It explains the design considerations to implement Generative AI in practice.

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
Gang Liu is Associate Professor at Business School, Shenzhen Technology University, China.

Jin Chen is Professor at 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.