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Knowledge Management

Systems and Processes in the AI Era

Irma Becerra-Fernandez Rajiv Sabherwal Richard Kumi

$336

Hardback

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English
Routledge
23 February 2024
Knowledge Management: Systems and Processes in the AI Era, Third Edition, is aimed at students and managers who seek detailed insights into contemporary knowledge management (KM). It explains the concepts, theories, and technologies that provide the foundation for knowledge management; the systems and structures that constitute KM solutions; and the processes for developing, deploying, and evaluating these KM solutions. This book serves as a complete introduction to the subject of knowledge management, incorporating technical and social aspects, as well as concepts, practical examples, traditional KM approaches, and emerging topics. This third edition has been revised and expanded to include more coverage of emergent trends such as cloud computing, online communities, crowdsourcing, and artificial intelligence. Aimed at advanced undergraduate, postgraduate, and MBA students who are seeking a comprehensive perspective on knowledge management, Knowledge Management is also complemented by online support for lecturers including suggested solutions to the many review questions and application exercises contained within the book.

By:   , ,
Imprint:   Routledge
Country of Publication:   United Kingdom
Edition:   3rd edition
Dimensions:   Height: 246mm,  Width: 174mm, 
Weight:   880g
ISBN:   9781032417394
ISBN 10:   1032417390
Pages:   378
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Hardback
Publisher's Status:   Active
1 Introducing Knowledge Management PART I Principles of Knowledge Management 2 The Nature of Knowledge 3 Knowledge Management Foundations: Infrastructure, Mechanisms, and Technologies 4 Knowledge Management Solutions: Processes and Systems 5 Organizational Impacts of Knowledge Management PART II Knowledge Management Technologies and Systems 6 Knowledge Application Systems: Systems that Utilize Knowledge 7 Knowledge Capture Systems: Systems that Preserve and Formalize Knowledge 8 Knowledge Sharing Systems: Systems that Organize and Distribute Knowledge 9 Knowledge Discovery Systems: Systems that Create Knowledge PART III Management of Knowledge Management 10 Factors Influencing Knowledge Management 11 Leadership and Assessment of Knowledge Management PART IV Emergent Trends in Knowledge Management 12 Knowledge Management through Cloud Computing 13 Knowledge Management through Communities and Crowds 14 Knowledge Management through Artificial Intelligence and other Emergent Technologies 15 Knowledge Management during Global Crises 16 The Future of Knowledge Management

Irma Becerra-Fernandez is President of Marymount University, USA. Rajiv Sabherwal is Distinguished Professor and Edwin and Karlee Bradberry Chair in information systems at the University of Arkansas, USA. Richard Kumi is an Associate Professor at the University of Arkansas, Little Rock, USA.

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