Knowledge Management: An Interdisciplinary Approach for Business Decisions

About the Book

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.

Table of Contents:

• Section - ONE: Knowledge management – Key concepts and models;
• • Chapter - 01: Introduction to knowledge management;
  • Chapter - 02: Tacit and explicit knowledge;
  • Chapter - 03: Knowledge management process and lifecycle models;
• Section - TWO: Building knowledge competence in organizations;
• • Chapter - 04: Organizational learning;
  • Chapter - 05: The learning organization;
  • Chapter - 06: Organizational culture for knowledge sharing and learning;
• Section - THREE: Crossing knowledge boundaries;
• • Chapter - 07: Communities of practice;
  • Chapter - 08: Knowledge boundaries and boundary-spanning mechanisms;
  • Chapter - 09: Knowledge networks;
  • Chapter - 10: ICT-enabled knowledge management - Internet of Things and big data analytics;
• Section - FOUR: Knowledge support for business decision making;
• • Chapter - 11: The business decision context;
  • Chapter - 12: Human decision-making processes and knowledge requirements;
  • Chapter - 13: Knowledge-based decision support systems

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.

Review :
"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." ""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." "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." "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." "This book is really awesome and gives a strong basis for Knowledge Management." "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."