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E-grāmata: Knowledge Management: An Interdisciplinary Approach for Business Decisions

  • Formāts: 384 pages
  • Izdošanas datums: 03-Jan-2020
  • Izdevniecība: Kogan Page Ltd
  • Valoda: eng
  • ISBN-13: 9780749496876
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  • Formāts: 384 pages
  • Izdošanas datums: 03-Jan-2020
  • Izdevniecība: Kogan Page Ltd
  • Valoda: eng
  • ISBN-13: 9780749496876
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Place knowledge management in a business context with this interdisciplinary textbook for postgraduate students which explores knowledge sharing within and across organizations.

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.

Recenzijas

"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 *

List of figures and tables
ix
About the author xiii
Preface xiv
Acknowledgements xix
List of abbreviations/acronyms
xxi
Guide to the book xxiii
PART ONE Knowledge management - key concepts and models
1(62)
01 Introduction to knowledge management
3(26)
1.1 What is knowledge and knowledge management?
3(9)
1.2 The value in knowledge and knowledge management
12(5)
1.3 Knowledge management approaches
17(4)
1.4 Knowledge management - an interdisciplinary framework
21(3)
Key learning points
24(1)
Review questions
25(1)
References
26(3)
02 Tacit and explicit knowledge
29(15)
2.1 Knowledge classification
29(6)
2.2 SECI model (tacit and explicit knowledge conversion)
35(3)
2.3 Ba theory (knowledge space)
38(3)
Key learning points
41(1)
Review questions
41(1)
References
42(2)
03 Knowledge management process and lifecycle models
44(19)
3.1 Key knowledge management process stages
44(9)
3.2 Knowledge management lifecycle models
53(6)
Key learning points
59(1)
Review questions
60(1)
References
61(2)
PART TWO Building knowledge competence in organizations
63(106)
04 Organizational learning
65(37)
4.1 From individual through group/team to organizational leaning
66(8)
4.2 Organizational learning frameworks
74(7)
4.3 Learning cycles - single, double and triple loop learning
81(8)
4.4 Management of organizational memory
89(7)
Key learning points
96(2)
Review questions
98(1)
References
99(3)
05 The learning organization
102(29)
5.1 Definitions of a learning organization
102(3)
5.2 Theoretical models for developing learning organizations
105(17)
5.3 Cross-cutting themes across different learning organization models
122(4)
Key learning points
126(2)
Review questions
128(1)
References
129(2)
06 Organizational culture for knowledge sharing and learning
131(38)
6.1 Concept of organizational culture
132(4)
6.2 Classification of organizational culture
136(13)
6.3 Impact of organizational culture on knowledge sharing and organizational learning
149(4)
6.4 Creating organizational culture to foster knowledge sharing and organizational learning
153(8)
Key learning points
161(1)
Review questions
162(2)
References
164(5)
PART THREE Crossing knowledge boundaries
169(110)
07 Communities of practice
171(25)
7.1 Definitions, features and lifecycle of communities of practice
171(11)
7.2 Types of CoP
182(3)
7.3 Can CoPs be managed?
185(6)
7.4 What a successful CoP looks like and how to build one
191(2)
Key learning points
193(1)
Review questions
193(1)
References
194(2)
08 Knowledge boundaries and boundary-spanning mechanisms
196(35)
8.1 Knowledge boundaries
197(4)
8.2 Boundary-spanning mechanisms
201(13)
8.3 Boundary-spanning knowledge activities in industrial applications
214(11)
Key learning points
225(2)
Review questions
227(1)
References
228(3)
09 Knowledge networks
231(21)
9.1 Introduction
231(2)
9.2 Network structural properties
233(5)
9.3 Relational properties
238(5)
9.4 Nodal properties
243(4)
Key learning points
247(1)
Review questions
248(1)
References
249(3)
10 ICT-enabled knowledge management: Internet of Things and big data analytics
252(27)
10.1 Linking knowledge management and ICT
253(1)
10.2 Internet of Things and knowledge management
254(9)
10.3 Big data analytics and knowledge management
263(11)
Key learning points
274(1)
Review questions
275(1)
References
276(3)
PART FOUR Knowledge support for business decision making
279(74)
11 The business decision context
281(18)
11.1 Business environments that challenges business decisions
282(7)
11.2 Links between different aspects of business and associated decisions
289(4)
11.3 Business decisions at different levels
293(3)
Key learning points
296(1)
Review questions
297(1)
References
297(2)
12 Human decision-making processes and knowledge requirements
299(23)
12.1 Concepts of decision making
299(7)
12.2 Different decision process models
306(8)
12.3 Calling for knowledge support in decision making
314(4)
Key learning points
318(1)
Review questions
319(1)
References
319(3)
13 Knowledge-based decision support systems
322(31)
13.1 From DSS to KB-DSS
323(2)
13.2 Key technologies for knowledge modelling and knowledge reasoning
325(16)
13.3 KB-DSS applications
341(6)
Key learning points
347(1)
Review questions
348(1)
References
348(5)
Index 353
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.