3rd Edition
Knowledge Management Systems and Processes in the AI Era
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.
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
Biography
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.
