Knowledge Management_Int (Edition1). This item is unavailable.
Language: English
Published by Astral International Pvt. Ltd., 2026
- Hardcover
- New

Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
5-star seller
AbeBooks seller since April 7, 2005
Unavailable
Hardcover
Condition: New
£ 54.44
Item description from seller
New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9789360848187
- Title
- Knowledge Management_Int (Edition1)
- Author
- Anindya Dasgupta, Arnob Sarkar
- Publisher
- Astral International Pvt. Ltd.
- Publication year
- 2026
- Condition
- New
- Binding
- HRD
- Language
- English
- ISBN 10
- 9360848182
- ISBN 13
- 9789360848187
- Item weight
- 463 grams
Introduction to Knowledge Management (KM): Provide an overview of KM as a strategic process of capturing, sharing, and effectively using organizational knowledge to enhance decision-making and innovation. Types of Knowledge: Discuss explicit knowledge (documented and codified) and tacit knowledge (experiential and intuitive), and the importance of managing both within organizations. KM Processes: Explore core KM activities-knowledge creation, storage, retrieval, sharing, and application-that enable continuous learning and organizational growth. Technologies in KM: Highlight the role of digital tools such as knowledge bases, intranets, content management systems, and AI-driven platforms in facilitating knowledge access and collaboration. Organizational Culture and KM: Examine how leadership, communication, and a knowledge-sharing culture influence the success of KM initiatives. KM Models and Frameworks: Introduce popular models like SECI (Socialization, Externalization, Combination, Internalization) and Nonaka-Takeuchi's knowledge spiral as guides for KM implementation. Measurement and Evaluation: Discuss methods to assess the effectiveness of KM systems, including knowledge audits, performance metrics, and ROI analysis. Challenges and Trends: Address common KM challenges such as knowledge silos and employee resistance, and explore emerging trends like cloud-based KM, social learning, and knowledge analytics.
"Synopsis" may belong to another edition of this title.