Generative Artificial Intelligence in Knowledge Management Systems

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Competitive Advantage
digital transformation strategies
Emerging Technologies
enterprise knowledge sharing
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forthcoming
generative AI knowledge management implementation
Generative Artificial Intelligence
Knowledge Management System
Large Language Model
organisational learning theory
socio-technical systems
tacit knowledge extraction
Value Creation
workforce development AI

Product details

  • ISBN 9781041075226
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Jun 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.