Title Knowledge Management
Subtitle An Interdisciplinary Approach for Business Decisions
Author Shaofeng Liu
ISBN 9780749494834
List price GBP 39.99
Price outside India Available on Request
Original price
Binding Paperback
No of pages 384
Book size 178 x 254 mm
Publishing year 2020
Original publisher Kogan Page Limited
Published in India by .
Exclusive distributors Viva Books Private Limited
Sales territory India, Sri Lanka, Bangladesh, Pakistan, Nepal, .
Status New Arrival
About the book Send Enquiry
  
 

Reviews:

“The book offers a rich approach to Knowledge Management focusing on knowledge sharing and learning crossing boundaries. It also discusses how to implement KM for supporting business decision making in the context of supply chain wide and globalization. All readers from students to practitioners will find in the book precious resources integrating the latest state-of-the-art research results.”

—Professor Isabelle Linden, University of Namur, Belgium

 

“I have been teaching Knowledge Management for many years but it was difficult to find a single book that focuses entirely on KM I could recommend to my students. Instead, I have always relied on several books which may be financially challenging for students to buy all. However, this book focuses entirely on topics of Knowledge Management and so is like a ‘one stop source’ for my module. It covers all the key topics on my (and most typical) KM module learning outcomes. The writing style of the book is excellent. It is clear and easy to follow.”

—Dr Festus Oderanti, Senior Lecturer in Information Systems & Program Leader for MSc Project Management, Hertfordshire Business School, University of Hertfordshire, UK

 

“A must-read contemporary Knowledge Management book, suitable for all KM practitioners, researchers and students. It intertwines precisely knowledge management in the fields of business, organizations, human decision-making, knowledge networks, information systems and technology, decision support systems and big data analytics.”

—Professor Boris Delibasic, University of Belgrade, Serbia

 

“The book has many distinctive features, including an interdisciplinary approach by knitting together knowledge management and other neighbouring disciplines, treating knowledge management as a key ingredient to building business intelligence systems. I like the in-depth discussion of the impact of ICT technologies such as big-data analytics and Internet of Things on knowledge management. A book providing such an overall view of the discipline does a great service to all stakeholders in the field. I recommend it to all students, researchers and practitioners interested in knowledge management and business intelligence systems.”

—Professor Sean Eom, Southeast Missouri State University, USA

 

“This book is really awesome and gives a strong basis for Knowledge Management.”

—Professor Pascale Zarate, Editor-in-Chief for International Journal of Decision Support System Technology (IJDSST), University of Toulouse, France

 

“This textbook contains resourceful material on understanding knowledge management, knowledge classification, knowledge management processes and the application of knowledge management. The learning approach adopted has a fine blend of theoretical concepts and case studies. I will recommend this textbook to higher level of undergraduate and postgraduate students.”

—Femi Olan, Senior Lecturer in Business Information Management, Newcastle Business School, Northumbria University


Description:

As knowledge economies become increasingly important around the world, it is essential that organizations are able to transform their knowledge into a competitive advantage. This textbook offers an interdisciplinary approach to knowledge management written specifically for postgraduate students in business and management schools. Knowledge Management presents classic and advanced concepts, models and frameworks using a clear logical structure, which covers building knowledge competence, the knowledge lifecycle, and integration of knowledge management with business decision making. An overall framework illustrates links between chapters and ensures readers can gain a body of actionable knowledge rather than learning isolated, uncontextualized topics.

Based on cutting-edge research findings and covering the most advanced IT and IS technologies, this book emphasises the need for knowledge management to span boundaries across organizations, supply chains and partnerships, rather than being limited to individual learning and sharing within businesses. Knowledge Management is international in scope and includes real world case studies and role play scenarios to show how theories are applied in practice, and “think back” and “critique discussion” questions to encourage reflective learning and critical thinking. This indispensable text provides a dynamic picture of the evolution of knowledge management and demonstrates its full potential to enable better business decisions. Accompanying online resources include PowerPoint slides for lecturers and exercise questions for students.

 

Key features at a glance:

  • Is written specifically for business and management courses, focusing on issues such as how knowledge management can be integrated with the business decision making process
  • Covers the most advanced IT and information systems technologies and cutting-edge research on topics such as boundary spanning
  • Includes real world case studies, role play scenarios, and “think back” and “critique discussion” questions to encourage reflective learning and critical thinking
  • Takes an international approach to knowledge management, for example comparing models from USA, UK and Japan


Contents:

List of figures and tables

About the author

Preface

Acknowledgements

List of abbreviations/acronyms

Guide to the book

 

PART ONE: Knowledge management — key concepts and models

Chapter 1: Introduction to knowledge management • What is knowledge and knowledge management? • The value in knowledge and knowledge management • Knowledge management approaches • Knowledge management – an interdisciplinary framework • Key learning points • Review questions • References

Chapter 2: Tacit and explicit knowledge • Knowledge classification • SECI model (tacit and explicit knowledge conversion) • Ba theory (knowledge space) • Key learning points • Review questions • References

Chapter 3: Knowledge management process and lifecycle models • Key knowledge management process stages • Knowledge management lifecycle models • Key learning points • Review questions • References

 

PART TWO: Building knowledge competence in organizations

Chapter 4: Organizational learning • From individual through group/team to organizational leaning • Organizational learning frameworks • Learning cycles - single, double and triple loop learning • Management of organizational memory • Key learning points • Review questions • References

Chapter 5: The learning organization • Definitions of a learning organization • Theoretical models for developing learning organizations • Cross-cutting themes across different learning organization models • Key learning points • Review questions • References

Chapter 6: Organizational culture for knowledge sharing and learning • Concept of organizational culture • Classification of organizational culture • Impact of organizational culture on knowledge sharing and organizational learning • Creating organizational culture to foster knowledge sharing and organizational learning • Key learning points • Review questions • References

 

PART THREE: Crossing knowledge boundaries

Chapter 7: Communities of practice • Definitions, features and lifecycle of communities of practice • Types of CoP • Can CoPs be managed? • What a successful CoP looks like and how to build one • Key learning points • Review questions • References

Chapter 8: Knowledge boundaries and boundary-spanning mechanisms • Knowledge boundaries • Boundary-spanning mechanisms • Boundary-spanning knowledge activities in industrial applications • Key learning points • Review questions • References

Chapter 9: Knowledge networks • Introduction • Network structural properties • Relational properties • Nodal properties • Key learning points • Review questions • References

Chapter 10: ICT-enabled knowledge management: Internet of Things and big data analytics • Linking knowledge management and ICT • Internet of Things and knowledge management • Big data analytics and knowledge management • Key learning points • Review questions • References

 

PART FOUR: Knowledge support for business decision making

Chapter 11: The business decision context • Business environments that challenges business decisions • Links between different aspects of business and associated decisions • Business decisions at different levels • Key learning points • Review questions • References

Chapter 12: Human decision-making processes and knowledge requirements • Concepts of decision making • Different decision process models • Calling for knowledge support in decision making • Key learning points • Review questions • References

Chapter 13: Knowledge-based decision support systems • From DSS to KB-DSS • Key technologies for knowledge modelling and knowledge reasoning • KB-DSS applications • Key learning points • Review questions • References

Index


About the Author:

Shaofeng Liu is Professor of Operations Management and Decision Making at Plymouth Business School, University of Plymouth, UK. She teaches a Knowledge Management module every year to postgraduate students across several courses in the Faculty of Business. She is Senior Editor for Cogent Business & Management and Associate Editor for the International Journal of Decision Support System Technology and has published over 150 research papers in peer-reviewed books, journals and conference proceedings.


Target Audience:

A must-read contemporary Knowledge Management book, suitable for all KM practitioners, researchers and students.

 
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