ISBN: 3790815861
TITLE: Knowledge Integration
AUTHOR: Jetter et al.
TOC:

Preface V
1 Knowledge Management: More than a Buzzword 1
Fons Wijnhoven
1.1 Introduction 1
1.2 The Relevance of Knowledge Management for High-tech Small and Medium Sized Firms 2
1.3 Knowledge Management - What Is It About? 3
1.3.1 Knowledge Management versus Competence Management 3
1.3.2 Approaches to Knowledge Management 3
1.3.3 Levels of Knowledge Management 5
1.4 What Aspects Are Related to Knowledge? 6
1.4.1 Content in Knowledge Identification and Acquisition Processes 7
1.4.2 Utilization of Knowledge in Contexts 9
1.4.3 Knowledge Flows 9
1.4.4 Knowledge Media 10
1.5 The Knowledge Integration Content 12
1.6 Outline of this Bock 13
References 15
2 Knowledge Integration by SMEs - Framework 17
Jeroen Kraaijenbrink, Doron Faran, Aharon Hauptman
2.1 Introduction 17
2.2 High-tech SMEs: Characteristics and Differences 18
2.3 Types and Sources of Knowledge 19
2.4 KI Processes and Activities 22
2.5 KI Problems and Solutions 25
2.6 Summary and Conclusions 27
References 27
3 Knowledge Integration by SMEs - Practice 29
Jeroen Kraaijenbrink, Aard Groen, Fons Wijnhoven
3.1 Introduction 29
3.2 Analysing KI in SMEs: Research Framework 29
3.3 Research Method 31
3.4 Results 32
3.4.1 NPD Process 33
3.4.2 Sources 33
3.4.3 KI Process 35
3.4.4 Problems 36
3.4.5 Solutions 37
3.4.6 Match 38
3.5 Differences between SMEs 39
3.6 Conclusions and Implications 41
References 43
Appendix: Questionnaire 43
4 Organizing the Toolbox - Typology and Alignment of KI Solutions 47
Doron Faran, Aharon Hauptman, Yoel Raban
4.1 Introduction 47
4.2 Definitions and Principles of the Typology 48
4.3 Typology of KI Tools and Techniques 50
4.3.1 Activities for Latent Knowledge 51
4.3.2 Activities for Explicit Knowledge 52
4.3.3 Activities for Tacit Knowledge 58
4.3.4 Motivating Activities 58
4.4 Knowledge Integration Strategies 59
4.5 SME Suitability 62
4.6 Conclusions 62
References 64
5 Elicitation - Extracting Knowledge from Experts 65
Antonie Jetter
5.1 Motivation and Introduction 65
5.2 A Psychological Perspective an Knowledge Elicitation 65
5.2.1 Theoretical Background 65
5.2.2 Relevance for Knowledge Management 68
5.3 Elicitation in Practice 69
5.3.1 Identification of Experts 69
5.3.2 Activation and Capture of Knowledge 70
5.3.3 Knowledge Interpretation and Documentation 71
5.4 Implementation Experience 72
5.4.1 Identification of Experts at CEROBEAR 73
5.4.2 Activation and Capture: Free Association & Episodic Interviews 73
5.4.3 Interpretation and Documentation: Building an Ontology 74
5.5 Discussion and Conclusions 75
References 75
6 Codification - Knowledge Maps 77
Antonie Jetter
6.1 Introduction 77
6.2 Knowledge Codification and Knowledge Maps 77
6.3 Types of Knowledge Maps 79
6.3.1 Hierarchical or Radial Knowledge Structure Maps: Concept Maps and Mind Maps 80
6.3.2 Networked Knowledge Structure Maps: Causal Maps 81
6.3.3 Knowledge Source Maps 82
6.3.4 Knowledge Flow Maps 83
6.4 Case Study: Knowledge Maps to Improve NPD 85
6.4.1 Process Assessment 85
6.4.2 Improved Processes: AIXTRON's Knowledge Application Map 87
6.5 Discussion and Conclusion 88
References 89
7 Detection - Electronic Knowledge Retrieval 91
Dina Franzen
7.1 Introduction 91
7.2 IR Systems for Knowledge Detection 91
7.2.1 Traditional IR Search Methods 92
7.2.2 Information Retrieval and the WWW 93
7.2.3 New Impulses in IR Systems 94
7.3 Implementation at a High-tech SME 96
7.3.1 The High-tech SME: CEROBEAR 96
7.3.2 Focus: Development of a Customer-Specific Ontology 97
7.3.3 Results and Evaluation 98
7.4 Discussion and Conclusion 99
References 100
8 Assessment - Making Sense of It All 101
Doron Faran
8.1 Introduction 101
8.2 What Is Knowledge Assessment? 102
8.3 Critical Analysis of Assessment Practices 103
8.3.1 Theoretical Background and Practical Framework 103
8.3.2 Alignment of Available Practices 104
8.4 The Decision-Validity-Tracking (DVT) Method 105
8.5 Lessons Learned from the Implementation at Optibase 110
8.6 Conclusions 112
References 113
9 Transfer - Knowledge Transfer in Networks 115
Aard Groen
9.1 Introduction 115
9.2 Theory an Knowledge Transfer in NPD Processes 115
9.2.1 The Character of Knowledge and Networks in Transfer Processes 116
9.2.3 Some Consequences of Cognitive Distance for Networking of Small Firms 117
9.3 The WAP Project, an Example of Knowledge Transfer in a Network 119
9.3.1 Context of the Project 119
9.3.3 Knowledge Transfer Mechanisms 121
9.4 Conclusions 124
References 125
10 Motivating - Incentive Systems for Knowledge Provision 127
Hannah Zaunmller
10.1 Introduction 127
10.2 Design Areas of Incentive Systems for Knowledge Provision 128
10.2.1 Definition of Knowledge Goals 128
10.2.2 Definition of the Application Area 129
10.2.3 Definition of Incentive Tools 129
10.2.4 Measurement and Evaluation of Employee Performance 130
10.3 Implementation of Incentive Systems 130
10.3.1 Analysis of the Status-quo 130
10.3.2 Concept Development and Elaboration 132
10.3.3 System Introduction 134
10.3.4 System Checking 134
10.4 Case Study at HEAD Acoustics 135
10.4.1 HEAD Acoustics and the Focus of the Project 135
10.4.2 Results 136
10.5 Summary and Conclusion 140
References 140
11 Supporting Knowledge Integration at SMEs - The KINX Portal 143
Charo Elorrieta, Juan Pedro Lopez, Fons Wijnhoven
11.1 Introduction 143
11.2 Information Services and Scope of the KINX Portal 145
11.3 Knowledge Integration Portal Description 146
11.3.1 The KINX Portal Public Area 148
11.3.2 The Private Area 150
11.3.3 The Administration Area 155
11.4 Portal Development Process 156
11.5 Conclusions and Discussion 157
References 158
12 Supporting Knowledge Integration at SMEs - Policies 161
Yoel Raban
12.1 Introduction 161
12.2 Reasons for Supporting KI in SMEs 161
12.3 Profiles of KI Support Measures for SMEs 162
12.4 Usage of Selected KI Support Measures 167
12.5 The Effectiveness of KI Support Measures 168
12.6 Summary and Recommendations 172 
References 173
13 Wrapping It All Up - Past, Present and Future of Knowledge Integration 175
Hans-Horst Schrder
13.1 Introduction 175
13.2 Evaluation of KI - What Does it Promise and Does It Keep What it Promises? 176
13.2.1 The Theoretical Perspective 177
13.2.2 The Empirical Perspective 179
13.2.3 The Tools Perspective 181
13.3 The Further Development of KI Requirements and Opportunities for Improvement 185
13.3. l Conceptual Improvements 185
13.3.2 Instrumental Improvements 186
13.4 Outlook - The Future of KI 188
References 190
Biographical Information about the Authors 193
List of Authors' Addresses 197
END
