Daily Knowledge Valuation in Organizations – Traceability and Capitalization

Name: Daily Knowledge Valuation in Organizations – Traceability and Capitalization
Author: N Matta

Traceability and Capitalization

Specificaties

Gebonden, 260 blz. | Engels

John Wiley & Sons | e druk, 2016

ISBN13: 9781848218574

Rubricering

Juridisch :

John Wiley & Sons e druk, 2016 9781848218574

192,77

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Specificaties

ISBN13:9781848218574

Taal:Engels

Bindwijze:gebonden

Aantal pagina's:260

Uitgever:John Wiley & Sons

Hoofdrubriek:Organisatiekunde, Mens en maatschappij

Inhoudsopgave

Preface xi Nada MATTA 1
Chapter 1 Daily Knowledge 1 Nada Matta
1.1. Knowledge 1
1.2. Daily knowledge 5
1.3. Individual versus collaborative knowledge 7
1.3.1. Difference in the nature of captured knowledge 7
1.3.2. Difference in the dimension to be considered 8
1.3.3. Difference in capturing of knowledge 9
1.4. Challenge to manage daily knowledge 10
1.5. Conclusions 15
1.6. Bibliography 16
Chapter 2 Traceability 21 Nada MATTA and Fatima BERRICHE
2.1. Traces 21
2.2. Profiling approaches 23
2.2.1. Experience–based reasoning 25
2.2.2. Example: profiling in crisis management 26
2.3. Traceability of information 28
2.4. Traceability of knowledge 30
2.5. Conclusions 32
2.6. Bibliography 33
Chapter 3 Traceability and Structuring of Decision–making 35 Nada MATTA and Guillaume DUCELLIER
3.1. Decision–making 35
3.2. Cooperative decision–making 37
3.2.1. Design rationale 38
3.2.2. Representation of the dynamics of problem–solving 41
3.3. Conflict management 45
3.3.1. Prevention methods 45
3.3.2. Argumentation methods 46
3.3.3. Negotiation methods 47
3.4. Conflict types 47
3.5. Traceability of design rationale 49
3.5.1. Memory meetings 49
3.5.2. Project memory building 55
3.6. Integrating traceability in PLM tools 57
3.6.1. Windchill and project management 59
3.6.2. The organizations of elements in Windchill 62
3.6.3. Project memory within Windchill 64
3.7. Conclusion 67
3.8. Bibliography 68
Chapter 4 Classifications and Aggregation of Traces 73 Xinghang DAI, Nada MATTA and Guillaume DUCELLIER
4.1. Classification 73
4.1.1. Heuristic classification 74
4.1.2. Knowledge discovery 76
4.1.3. Hierarchical classification 78
4.2. Cooperative knowledge aggregation 80
4.2.1. Cooperative knowledge ontology 81
4.2.2. Graphs representing relations between concepts in project memory 84
4.3. CKD classification algorithms 87
4.4. Conclusions 90
4.5. Bibliography 91
Chapter 5 Exapmple of Traceability and Classifications of Decision–making  95 Xinghang DAI, Nada MATTA, Guillaume DUCELLIER, Tatiana REYES
5.1. Example of software design projects 95
5.1.1. Problem–solving knowledge 96
5.1.2. Management knowledge 100
5.1.3. Example analysis 105
5.2. Example of PLM system design 106
5.2.1. Problem–solving knowledge 107
5.2.2. Management knowledge 111
5.2.3. Example analysis 114
5.3. Example of ecodesign projects 115
5.3.1. Problem–solving knowledge 116
5.3.2. Management knowledge 119
5.3.3. Example analysis 120
5.4. Conclusion 120
5.5. Bibliography 122
Chapter 6 Communication, CMC and Email: A Brief Survey 123 Hassan ATIFI
6.1. Introduction 123
6.2. What is communication? 124
6.2.1. Traditional view of communication 124
6.2.2. Interactional view of communication 125
6.3. The pragmatics of interactions 128
6.3.1. Ethnography of communication 129
6.3.2. Interaction analysis 130
6.4. Pragmatics and speech acts 131
6.4.1. J.L. Austin 131
6.4.2. J.R. Searle 132
6.5. Computer–mediated communication 133
6.5.1. CMC, interaction and emotion 134
6.5.2. CMC, culture and multilingualism 137
6.6. CMC, e–mail and knowledge management 140
6.6.1. CMC and e–mail 140
6.6.2. CMC and knowledge management 142
6.7. Conclusions 143
6.8. Bibliography 144
Chapter 7 Traceability of Communications in Software Design 153 François RAUSCHER, Hassan ATIFI and Nada MATTA
7.1. Introduction 153
7.2. Problem–solving 154
7.3. Software development process 155
7.4. Related works on e–mail analysis 155
7.5. Project knowledge extraction from e–mails 156
7.5.1. Classification of e–mails 157
7.5.2. Message analysis 158
7.6. Example 160
7.6.1. Example description 160
7.6.2. E–mail analysis 162
7.6.3. Message content analysis 167
7.7. Context–aware algorithm 169
7.8. Conclusion 172
7.9. Bibliography 174
Chapter 8 Traceability of Actions in Crisis Management  179 Mohamed SEDIRI, Nada MATTA and Sophie LORIETTE
8.1. Introduction 179
8.2. Crisis management 180
8.2.1. Explorations of the state of the art in crisis management help to identify three management styles 182
8.3. Decision–making in crisis situations 184
8.4. Decision–making support using experience feedback 187
8.4.1. Experience feedback: collection and modeling 188
8.5. Clever crisis management system (CCS) framework 193
8.5.1. CCS: a system of state/event 195
8.5.2. Situation organization in a database 197
8.5.3. Interaction between the system and actor 199
8.5.4. Implementation structure of situation base 201
8.5.5. The choice of the maps system 202
8.6. Traceability of the experience feedback 204
8.7. Human machine interface of CCS 205
8.8. Example 208
8.9. Conclusion 210
8.10. Bibliography 211
Chapter 9 Traceability in Problem–solving Processes 215 Elisabeth KUNTZ, Eric REUBREZ, Laurent GENESTE, Juan Camilo ROMERO, Valentina LLAMAS and Aymeric DE VALROGER
9.1. Introduction 215
9.2. Problem–solving processes 216
9.2.1. Problem context description 217
9.2.2. Analysis 217
9.2.3. Proposal and evaluation of action plans 218
9.3. Traceability and reuse 219
9.4. ProWhy 224
9.4.1. ProWhy: problem–solving process support 225
9.4.2. ProWhy: reuse of past experiences 230
9.5. Conclusion 231
9.6. Bibliography 231
Conclusion  235 Nada MATTA
List of Authors 241
Index 243