Autopoietic Knowledge Systems in Project-Based Companies

Overview

This book gives an alternative observational scheme to better understand knowledge creation and learning in project-based companies. It builds upon emergent new ways of looking at projects which is important - as any discipline stays alive by reflection and re-framing ideas as they are challenged, argued and clarified.

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Autopoietic Knowledge Systems in Project-Based Companies

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Overview

This book gives an alternative observational scheme to better understand knowledge creation and learning in project-based companies. It builds upon emergent new ways of looking at projects which is important - as any discipline stays alive by reflection and re-framing ideas as they are challenged, argued and clarified.

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Product Details

  • ISBN-13: 9780230278585
  • Publisher: Palgrave Macmillan
  • Publication date: 11/23/2010
  • Pages: 208
  • Product dimensions: 5.60 (w) x 8.60 (h) x 0.80 (d)

Meet the Author

DR KAJ U. KOSKINEN has worked for many years as a Project Manager in several international engineering companies, including Outokumpu and Honeywell. His main experience derives from process automation. Since 1997 he has been a Senior Lecturer (Docent) in Industrial Management and Engineering at Tampere University of Technology, Pori, Finland. Dr Koskinen’s research interest is focused on knowledge and project management, and he has published several articles and together with Professor Emeritus Pekka Pihlanto the book Knowledge Management in Project-Based Companies: An Organic Perspective (Palgrave Macmillan 2008).

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Table of Contents

List of Figures and Tables x

Foreword Derek H. T. Walker xii

About the Author xv

Acknowledgements xvi

1 Autopoietic Knowledge Systems: An Alternative View of Project-Based Companies 1

Keywords of the book 4

Structure of the book 4

2 Project Business 6

Project-based companies 7

Project team 9

Project team members 11

Summary 12

3 Systemic View and Systems Thinking 13

Systems theory and systems 15

Complexity in systems 18

Open and closed systems 21

Boundaries of systems 24

Cybernetics and feedback loops 25

System dynamics and causality 27

Company as a system 29

Summary 31

4 Autopoiesis 34

Autopoietic systems 35

Structural coupling and self-referential systems 39

Autonomy 41

Simultaneously open and closed systems 42

Observing 46

Organizational autopoiesis 48

Summary 50

5 Epistemological Assumptions 54

Cognitivist epistemology 55

Connectionist epistemology 55

Autopoietic epistemology 56

Summary 57

6 Knowledge Dividend 59

Meaning 60

Knowledge 61

Individual knowledge 66

Organizational knowledge 67

Project knowledge 70

Resource, capability, and competence 72

Emotional intelligence and emotional competence 77

Organizational memory 78

Intellectual capital 82

Summary 83

7 Evolution and Learning 86

Intuition 87

Interpreting and mental models 88

Learning 90

Learning organization 92

Organizational learning 95

Expansive learning seen through activity theory 97

Organizational ecology 98

Socio-cognitive engineering 101

Summary 104

8 Components of the Project-Based Company When it is Regarded as an Autopoietic Knowledge System 106

Identity 107

Perception of the environment 110

The mechanical project work environment 111

Organic project work environments 112

Semi-mechanical and semi-organic project work environments 113

Strategy and strategic management 114

Knowledge management 117

Knowledge sharing 119

Storytelling 122

Writing 128

Boundary elements and perturbations 129

Interactivity 131

Consciousness 132

Communication 133

Absorptive capacity 134

Media 135

Language and languaging 138

Metaphors 140

Boundary objects 141

Commitment and motivation 145

Creative tension 149

Resistance to change and immunity reactions 150

Information and communication systems 152

Internet 154

Intranet 154

Text-based conferencing 155

Groupware tools 156

Organizational climate and organizational/project culture 157

Values 161

Norms 164

Beliefs, attitudes and assumptions 165

Trust 167

Deterrence-based trust (i.e. calculus-based trust) 170

Role-based trust 170

Knowledge-based trust 171

Identification-based trust 171

Summary 174

9 Two Major Knowledge Flows 175

Sensing 176

Memory 177

Recursivity 178

Summary 180

10 The Project-Based Company as an Autopoietic Knowledge System 182

Evolution and learning in the project-based company 183

Improving a project-based company's potential to be an autopoietic knowledge system 186

Summary 188

Epilogue 190

Bibliography 192

Index 219

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