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Trends in Enterprise Knowledge Management


Trends in Enterprise Knowledge Management


, Band 92 1. Aufl.

von: Imed Boughzala, Jean-Louis Ermine, Pierre-Noël Favennec

139,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 05.01.2010
ISBN/EAN: 9780470394427
Sprache: englisch
Anzahl Seiten: 292

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Beschreibungen

Knowledge Management (KM) encompasses a wide range of tools and methods that are at the heart of the information and communication society and provide solutions that rely as much on organization as on technology. <p>This title brings together contributions from authors from a range of countries who are recognized as leading figures in this field, both in an academic and a practical sense. It describes the strategic aspects of KM and defines the underlying principles in terms of management, life cycle, process, methods and tools involved in this discipline. Several approaches to the running of KM within organizations are then discussed. The influence of KM on the performance of a company is analyzed and guidelines are given on various KM approaches that can be used to achieve specific goals.</p> <p>Finally, several case studies of companies that have put KM at the heart of their organizational strategy are given to demonstrate how this approach has been put into practice.</p> <p>Given the practical approach taken by this book and the considerable advantages that a good handling of KM can bring to an organization, this title will be of great interest to those involved in this field.</p>
<p><i>Preface 15</i></p> <p><b>PART 1. Introduction 21</b></p> <p><b>Chapter 1. Introduction to Knowledge Management 23</b><br /> <i>Jean-Louis ERMINE</i></p> <p>1.1. Introduction 23</p> <p>1.1.1. Knowledge: a strategic value for the firm 23</p> <p>1.1.2. Objectives of KM 23</p> <p>1.1.3. KM: a new and complex approach 24</p> <p>1.2. The two types of approaches to KM 24</p> <p>1.2.1. Knowledge elicitation 25</p> <p>1.2.1.1. Tacit knowledge elicitation 25</p> <p>1.2.1.2. Knowledge extraction 26</p> <p>1.2.1.3. Supporting technologies for explicit (elicited) KM 27</p> <p>1.2.2. Tacit KM 27</p> <p>1.2.2.1. The functioning modes of knowledge communities 28</p> <p>1.2.2.2. Knowledge community supervision 29</p> <p>1.2.2.3. Supporting technologies for knowledge communities 30</p> <p>1.3. The key factors of success in KM processes 31</p> <p>1.3.1. The water lily strategy 31</p> <p>1.3.1.1. The pilot project(s) 33</p> <p>1.3.1.2. The federation of KM projects 33</p> <p>1.3.1.3. Project deployment 34</p> <p>1.3.2. Change factors 34</p> <p>1.4. KM: an action for continuous progress 35</p> <p>1.4.1. Knowledge cartography 36</p> <p>1.4.2. The repository of KM processes 37</p> <p>1.4.3. The KM actions 39</p> <p>1.4.4. Piloting processes and actions 41</p> <p>1.5. Conclusion 41</p> <p>1.6. Bibliography 42</p> <p><b>Chapter 2. Can One Identify and Measure the Intangible Capital of the Enterprise? 45</b><br /> <i>Patrick EPINGARD</i></p> <p>2.1. The intangible capital: an essential and elusive concept 47</p> <p>2.2. Immaterial measurement: a theoretical enigma? 54</p> <p>2.3. Conclusion 62</p> <p>2.4. References 63</p> <p><b>Chapter 3. Complexity Theory: Dynamics and Non-Linearity are the Only Reason for Knowledge Management to Exist 65</b><br /> <i>Walter BAETS</i></p> <p>3.1. Introduction 65</p> <p>3.2. The knowledge era 66</p> <p>3.3. The complexity paradigm 68</p> <p>3.4. What should be understood by KM: the corporate view 73</p> <p>3.5. Research perspective on KM 75</p> <p>3.6. References 77</p> <p><b>PART 2. Academic Studies 79</b></p> <p><b>Chapter 4. Value Creation through Intangibles: Emerging Good Practice 81</b><br /> <i>Nigel COURTNEY, Clive HOLTHMAN and Chris HENDRY</i></p> <p>4.1. Introduction 81</p> <p>4.2. A remedy for our times 83</p> <p>4.3. Dispensing with the mystery 84</p> <p>4.4. Value creation in the 21st century 88</p> <p>4.4.1. Selecting an approach 88</p> <p>4.4.2. Taking a balanced view 90</p> <p>4.5. Evidence of good practice 90</p> <p>4.5.1. Theme 1: brand value 91</p> <p>4.5.1.1. B&Q 91</p> <p>4.5.1.2. Whitbread 92</p> <p>4.5.2. Theme 2: knowledge 93</p> <p>4.5.2.1. Bloomberg 93</p> <p>4.5.2.2. The UK Fire & Rescue Service 94</p> <p>4.5.3. Theme 3: innovation 95</p> <p>4.5.3.1. Intercos 95</p> <p>4.5.3.2. mmO2 96</p> <p>4.5.4. Theme 4: reporting intellectual capital 97</p> <p>4.5.4.1. Austrian Research Centers (ARC) 97</p> <p>4.5.4.2. Celemi 98</p> <p>4.6. Key messages 99</p> <p>4.7. About the authors 100</p> <p>4.8. References 101</p> <p><b>Chapter 5. Learning-by-Doing Knowledge Externalization: From Boundary Objects to the Emergence of Tacit Knowledge 103</b><br /> <i>Jean-Michel VIOLA and Réal JACOB</i></p> <p>5.1. Learning-by-doing KM 104</p> <p>5.2. A process of externalization: knowledge strategy at Power Corp 105</p> <p>5.2.1. Mapping as a knowledge audit and mapping as scenario planning 107</p> <p>5.2.2. Criticality assessment scales as decision rules 107</p> <p>5.2.3. Modeling as a learning tool, as co-creation of knowledge 107</p> <p>5.2.4. Plans as road maps addressing more specifically the need for tacitness 108</p> <p>5.3. The tacit output of externalization: the importance of boundary objects 108</p> <p>5.3.1. Externalization creates critical boundary objects 109</p> <p>5.3.2. Refining the classical definition of tacit knowledge 109</p> <p>5.3.2.1. Tinkering 110</p> <p>5.3.2.2. Judgment 110</p> <p>5.3.2.3. Connectivity 110</p> <p>5.3.2.4. Coordination 111</p> <p>5.4. Conclusions and lessons learned 111</p> <p>5.5. Bibliography 112</p> <p><b>Chapter 6. Approaches and Methods for Valuing Knowledge Management Performance 115</b><br /> <i>Aurélie DUDEZERT</i></p> <p>6.1. KM performance: the aims of an evaluation 116</p> <p>6.1.1. The knowledge-based view: a theoretical relation between KM and organizational performance 116</p> <p>6.1.2. What is performance for KM? 117</p> <p>6.1.3. What is KM? 118</p> <p>6.2. Method of research and inquiry 119</p> <p>6.3. Macro-organizational approaches to valuing KM performance 119</p> <p>6.3.1. The competitive performance of KM 120</p> <p>6.3.2. The financial performance of KM 121</p> <p>6.4. Micro-organizational approaches to valuing KM performance 122</p> <p>6.4.1. The process-based approach to the performance of KM 122</p> <p>6.4.2. The systemic approach to the performance of KM 123</p> <p>6.5. Conclusion 124</p> <p>6.6. References 124</p> <p><b>Chapter 7. ICIS for Knowledge Management: The Case of the Extended Enterprise 131</b><br /> <i>Imed BOUGHZALA</i></p> <p>7.1. Introduction 131</p> <p>7.2. Concepts and definitions 132</p> <p>7.2.1. Inter-company co-operation and the extended enterprise 132</p> <p>7.2.2. ICIS and KM 132</p> <p>7.3. MeDICIS 135</p> <p>7.4. Models for ICIS design 138</p> <p>7.4.1. The business model 138</p> <p>7.4.2. The co-operation model 139</p> <p>7.4.3. The agent model 140</p> <p>7.4.4. The communication model 141</p> <p>7.4.5. The co-ordination model 142</p> <p>7.4.6. The CPS model 143</p> <p>7.5. Discussion 144</p> <p>7.6. MeDICIS life cycle 145</p> <p>7.7. Conclusion 146</p> <p>7.8. About the author 147</p> <p>7.9. References 147</p> <p><b>Chapter 8. Knowledge Management and Environment Scanning: A Methodological Guide to Improving Information Gathering 149</b><br /> <i>Thierno TOUNKARA</i></p> <p>8.1. Introduction 149</p> <p>8.2. Modeling of the interaction process between the corporate knowledge of the firm and its environment 150</p> <p>8.3. General approach 151</p> <p>8.3.1. Requirements specification for environment scanning 151</p> <p>8.3.2. Description of the approach 151</p> <p>8.4. Knowledge book 153</p> <p>8.4.1. Methodological tools 154</p> <p>8.4.1.1. Methodological tools for MASK application 154</p> <p>8.4.1.2. Classification of the knowledge to be modeled according to the type of environment scanning 155</p> <p>8.4.2. Case study: Renault 157</p> <p>8.5. Construction of axes 157</p> <p>8.5.1. Construction of a partition 159</p> <p>8.5.1.1. Methodological tools for the elaboration of a partition 159</p> <p>8.5.1.2. The grid of criteria for the grouping of the models into classes 159</p> <p>8.5.1.3. The grid of semantic links 161</p> <p>8.5.1.4. Renault case study: an example of grouping by connectivity 162</p> <p>8.5.2. Extraction and grouping of information into classes 162</p> <p>8.5.3. Identification of themes 163</p> <p>8.5.3.1. Qualitative evaluation grid for the criticality of themes 163</p> <p>8.5.3.2. Approach and illustration 163</p> <p>8.5.4. Construction of the visual synthesis 164</p> <p>8.6. Elaboration of the “environment scanning focus” 165</p> <p>8.7. Evaluation of our approach 167</p> <p>8.8. Conclusion 167</p> <p>8.9. References 168</p> <p><b>Chapter 9. The Concept of “Ba” within the Japanese Way of Knowledge Creation 171</b><br /> <i>Pierre FAYARD</i></p> <p>9.1. A Japanese concept 172</p> <p>9.2. “Elementary, my dear Watson!” 173</p> <p>9.3. The Human Health Care (HHC) program 176</p> <p>9.4. Shaping a new way of functioning for organizations 178</p> <p>9.5. References 179</p> <p>9.6. Further reading 179</p> <p><b>PART 3. Club Workshop Studies 181</b></p> <p><b>Chapter 10. The Knowledge Maturity Model 183</b><br /> <i>Jean-François TENDRON</i></p> <p>10.1. Introduction 183</p> <p>10.2. Work methodology of the commission on “Aspects économiques de la gestion des connaissances” (economic aspects of KM) 184</p> <p>10.3. The Knowledge Maturity Model (KMM) 186</p> <p>10.4. Use of the KMM 188</p> <p>10.4.1. Raising consciousness about KM 188</p> <p>10.4.2. Evaluation of a community’s maturity in terms of KM 190</p> <p>10.4.2.1. Example of evaluation 190</p> <p>10.4.2.2. Example of reactions 192</p> <p>10.5. Perspectives 193</p> <p>10.6. Conclusion 194</p> <p>10.7. References 195</p> <p><b>Chapter 11. Knowledge Mapping: A Strategic Entry Point to Knowledge Management 197</b><br /> <i>Gérard AUBERTIN</i></p> <p>11.1. Why map corporate knowledge? 197</p> <p>11.2. What knowledge and competencies should be mapped? 199</p> <p>11.3. How is knowledge/competency mapping performed? 202</p> <p>11.3.1. Defining the mapping goal 202</p> <p>11.3.2. Identifying knowledge 202</p> <p>11.3.2.1. Conceptual approach to identifying knowledge 203</p> <p>11.3.2.2. Process-based approach to identifying knowledge 204</p> <p>11.3.2.3. Identifying knowledge using automatic mapping tools 205</p> <p>11.3.3. Building the areas of the knowledge map 205</p> <p>11.3.4. Representing knowledge: the area-based mapping model 206</p> <p>11.3.4.1. Formal model 206</p> <p>11.3.4.2. The graphical model 208</p> <p>11.4. What are the operational uses and mapping tools? 209</p> <p>11.5. Knowledge mapping and criticality study 210</p> <p>11.5.1. Defining criticality 210</p> <p>11.5.2. The criticality study as risk assessment 210</p> <p>11.5.3. Defining critical factors 211</p> <p>11.5.4. Preparing an assessment schedule and performing the criticality study 212</p> <p>11.5.5. Calculating area criticality 213</p> <p>11.5.5.1. Different critically average values 213</p> <p>11.5.5.2. Assessments differences 214</p> <p>11.5.5.3. Non-discriminating criterion 214</p> <p>11.5.6. Analyzing results 215</p> <p>11.6. How to manage a mapping project 215</p> <p>11.6.1. Opportunity study 215</p> <p>11.6.2. Managing change 215</p> <p>11.6.3. Action principles 216</p> <p>11.7. Conclusion 216</p> <p>11.8. Bibliography 216</p> <p><b>Chapter 12. Knowledge Management and Innovation (Innovation Maturity Model) 219</b><br /> <i>Jean-Marie BEZARD</i></p> <p>12.1. Introduction 219</p> <p>12.2. The evolution and path dependence hypothesis 220</p> <p>12.3. Innovation factors 221</p> <p>12.3.1. Case studies 221</p> <p>12.3.2. The Innovation Maturity Model (IMM) 221</p> <p>12.4. Conclusion 224</p> <p>12.5. References 225</p> <p><b>Chapter 13. Technology and Knowledge Management (Technology Maturity Model) 227</b><br /> <i>Olivier LEPRETRE</i></p> <p>13.1. Introduction 227</p> <p>13.2. Knowledge diffusion vehicle 228</p> <p>13.3. The limits of the diffusion of knowledge 231</p> <p>13.4. The need for global vision 235</p> <p>13.5. The Technology Maturity Model (TMM) 236</p> <p>13.6. Following a TMM approach 237</p> <p>13.7. Application of TMM 239</p> <p>13.5. References 242</p> <p><b>PART 4. Case Studies 243</b></p> <p><b>Chapter 14. Once-upon-a-time Knowledge Management at Mann+Hummel Automotive France 245</b><br /> <i>Nathalie LE BRIS</i></p> <p>14.1. The increasing importance of knowledge sharing for Mann+Hummel France 245</p> <p>14.2. An approach based on core knowledge cartography 246</p> <p>14.2.1. What are the needs of the employees? 246</p> <p>14.2.2. A cartography that allows us to build an action plan 247</p> <p>14.2.3. Actions from the Nonaka virtuous circle 250</p> <p>14.2.4. A well appreciated approach 252</p> <p>14.3. Implementation of lessons learned 252</p> <p>14.4. Knowledge explicitation 253</p> <p>14.5. Sharing of explicit knowledge 254</p> <p>14.6. Direct transfer of knowledge 255</p> <p>14.7. KM: an everyday task based on people more than on technology 255</p> <p><b>Chapter 15. Thales System Engineering Community of Practice: A Knowledge Management Approach 257</b><br /> <i>Cécile DECAMPS and Michel GALINIER</i></p> <p>15.1. Introduction 257</p> <p>15.2. The knowledge sharing approach 258</p> <p>15.3. The Systems Engineering Community of practice at Thales 259</p> <p>15.4. Why is there a KM portal dedicated to the Systems Engineering Community? 260</p> <p>15.5. The Systems Engineering portal 262</p> <p>15.5.1. Functionalities supporting SE community animation and management 262</p> <p>15.5.2. Functionalities supporting access to SE community people and competencies 263</p> <p>15.5.3. Functionalities supporting access to documents and other kinds of content 263</p> <p>15.6. Rolling out/organization 265</p> <p>15.7. The associated support organization 265</p> <p>15.8. Balance and perspectives 266</p> <p>15.9. Bibliography 267</p> <p><b>Chapter 16. Appraising the Knowledge in a Radio-pharmacy Center based on Process Mapping and Knowledge Domain Cartography 269</b><br /> <i>Rita Izabel RICCIARDI and Antonio Carlos DE OLIVEIRA BARROSO</i></p> <p>16.1. Introduction 269</p> <p>16.2. The importance of knowledge identification and evaluation within organizations 270</p> <p>16.3. The case study 270</p> <p>16.3.1. History and context of the Radio-pharmacy Center 270</p> <p>16.3.2. The Center profile and key comments on its knowledge issues 272</p> <p>16.4. The KM project 275</p> <p>16.4.1. Study of processes 275</p> <p>16.4.2. Knowledge identification (“enabling knowledge”) 275</p> <p>16.4.3. Construction of the knowledge cartography 276</p> <p>16.4.4. “Criticality” analysis 277</p> <p>16.4.5. Setting up a KM plan of action 279</p> <p>16.5. References 279</p> <p><b>Chapter 17. Case Study: Knowledge Preservation for a Nuclear Reactor 281</b><br /> <i>Marta EPPENSTEIN</i></p> <p>17.1. Introduction 281</p> <p>17.1.1. Atucha-type reactors 282</p> <p>17.2. Practical approaches 282</p> <p>17.2.1. Strategy analysis 282</p> <p>17.2.1.1. Different approaches to the map 283</p> <p>17.2.1.2. Identification of knowledge axes 284</p> <p>17.2.2. Identification of the critical knowledge: approaches 285</p> <p>17.2.2.1. Rare or unable of replacement 285</p> <p>17.2.2.2. Usefulness for the company 285</p> <p>17.2.2.3. Difficult to obtain 286</p> <p>17.2.2.4. Difficult to use 286</p> <p>17.2.3. Building the knowledge map 287</p> <p>17.2.4. Knowledge server 287</p> <p>17.3. Technical development: analysis factors 289</p> <p>17.3.1. Knowledge transfer and capitalization 289</p> <p>17.3.2. Human resources 290</p> <p>17.4. Conclusion 291</p> <p>17.5. References 291</p> <p>17.6. Further reading 292</p> <p><i>The Authors 293</i></p> <p><i>Index 295</i></p>
<b>Imed Boughzala</b> is an Associate Professor at National Institute of Telecoms, France. His field of research covers cooperative information systems and knowledge management.<br /> <br /> <b>Jean-Louis Ermine</b> is Head of the Department of Information Systems at INT and is also President of the French Knowledge Management Club.
Knowledge Management (KM) encompasses a wide range of tools and methods that are at the heart of the information and communication society and provide solutions that rely as much on organization as on technology.<br /> This title brings together contributions from authors from a range of countries who are recognized as leading figures in this field, both in an academic and a practical sense. It describes the strategic aspects of KM and defines the underlying principles in terms of management, life cycle, process, methods and tools involved in this discipline. Several approaches to the running of KM within organizations are then discussed. The influence of KM on the performance of a company is analyzed and guidelines are given on various KM approaches that can be used to achieve specific goals.<br /> Finally, several case studies of companies that have put KM at the heart of their organizational strategy are given to demonstrate how this approach has been put into practice.<br /> Given the practical approach taken by this book and the considerable advantages that a good handling of KM can bring to an organization, this title will be of great interest to those involved in this field.

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