Enterprise Innovation
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Michele Missikoff is Scientific Coordinator to the European BIVEE Project Business Innovation in Virtual Enterprise Environment, Scientific Advisor at the Institute of Sciences and Technologies of Cognition, ISTC-CNR, Rome, and Professor of Enterprise Information Systems at the International University of Rome, Italy.
Massimo Canducci is Project Coordinator of the European Project Business Innovation in Virtual Enterprise Environment, and Innovation Director at Engineering Ingegneria Informatica SPA, Italy.
Neil Maiden is Professor of Systems Engineering, Head of the Centre for HCI Design and co-founder of the Centre for Creativity in Professional Practice at City University London, UK.
Content
PART 1. BIVEE PROJECT FRAMING 1
CHAPTER 1. BUSINESS INNOVATION IN VIRTUAL ENTERPRISE ENVIRONMENTS 3 Massimo CANDUCCI
1.1. Introduction 3
1.2. Business innovation and virtual enterprises 5
1.3. Bibliography 6
CHAPTER 2. FROM CREATIVITY TO INNOVATION: THE IMPORTANCE OF DESIGN 7 Neil MAIDEN
2.1. Creativity and innovation 7
2.2. Creative problem-solving methods 8
2.3. Linking creativity and innovation through design 9
2.4. Service design processes 10
2.5. Integrating creativity support more effectively into service design methods 15
2.6 Conclusions 18
2.7. Bibliography 19
CHAPTER 3. THE BIVEE PROJECT: AN OVERVIEW OF METHODOLOGY AND TOOLS 21 Michele MISSIKOFF and Pierluigi ASSOGNA
3.1. Framing 21
3.2. The mission of BIVEE 24
3.3. Business ecosystems and virtual enterprises 26
3.4. Value production space 29
3.5. A participatory space for business innovation 34
3.6. BIVEE innovation waves 37
3.7. An integrated view of VPS and BIS 40
3.8. The macro-architecture of the BIVEE platform 42
3.9. Trial cases and impact 44
3.10. Bibliography 46
PART 2. STORYTELLING ON BIVEE EXPERIENCE 47
CHAPTER 4. A PROJECT OF COLLABORATIVE NETWORKED INNOVATION 49 Cristina CRISTALLI, Daniela ISIDORI and Isabella TERZONI
4.1. Introduction 49
4.2. Creativity wave 50
4.2.1. Proposed idea 50
4.3. Idea submission: Flumen 58
4.4. Innovation project: Flumen 60
4.4. Feasibility wave 64
4.5. Prototyping wave 66
4.6. Engineering wave 69
4.7. Conclusions 71
CHAPTER 5. A DAY OF NETWORKED PRODUCTION IMPROVEMENT 73 Fernando GIGANTE VALENCIA, Anil PACACI and Ali Anil SINACI
5.1. Resources involved 73
5.2. Setting the scene 75
5.3. Plan phase 76
5.3.1. Sales trend analysis 76
5.3.2. Order evaluation 77
5.3.3. Product definition 77
5.3.4. Network setup 79
5.4. Source phase 80
5.4.1. Stock analysis 80
5.4.2. Supplier selection 81
5.4.3. Purchase management 82
5.4.4. Component storage 83
5.5. Build phase 83
5.5.1. Component manufacturing 83
5.5.2. Finishing 84
5.5.3. Product assembly 85
5.5.4. Quality control 85
5.6. Delivery phase 86
5.6.1. Packing 86
5.6.2. Order preparation 86
5.6.3. Shipping 87
5.6.4. Delivery 87
5.7. Final considerations 88
5.8. Bibliography 89
PART 3. INNOVATING INNOVATION: BIVEE ACHIEVEMENTS 91
CHAPTER 6. THE BIVEE FRAMEWORK AND THE COLLABORATIVE INNOVATION CAPABILITY MATURITY MODEL (CICMM) 93 Benjamin KNOKE
6.1. The virtual enterprise modeling framework (VEMF) 94
6.1.1. VEMF: methodological background 95
6.1.2. VEMF: virtual enterprise setup 96
6.1.3. VEMF: modeling framework for production processes 99
6.2. Business innovation reference framework 101
6.2.1. BIRF: methodological background 101
6.2.2. BIRF: reference framework for innovation projects 103
6.3. Monitoring framework 104
6.4. Collaborative innovation capability maturity model (CICMM) 107
6.5. Conclusion and outlook 108
6.6. Bibliography 109
CHAPTER 7. THE BIVEE ENVIRONMENT: DESCRIPTION OF THE OVERALL SOFTWARE ARCHITECTURE 111 Mauro ISAJA
7.1. Introduction 111
7.2. BIVEE environment reference architecture 113
7.3. The BIVEE platform 113
7.3.1. Production and innovation knowledge repository 114
7.3.2. Web portal 120
7.4. BIVEE application: the mission control room 122
7.5. BIVEE application: the virtual innovation factory 123
7.6. Conclusions 123
7.7. Bibliography 123
CHAPTER 8. THE MISSION CONTROL ROOM 125 Nesat EFENDIOGLU, Wilfrid UTZ and Robert WOITSCH
8.1. Introduction 125
8.2. Application scenarios 126
8.2.1. Virtual enterprise design 126
8.2.2. Virtual execution assistant 128
8.2.3. Virtual enterprise monitoring 129
8.2.4. Collecting feedback through the whiteboard 131
8.3. Concept 132
8.3.1. Identified requirements and issues 132
8.3.2. Approach and solution 133
8.4. Realization/technology 135
8.5. User experience 139
8.6. Conclusion 140
8.7. Bibliography 141
CHAPTER 9. THE VIRTUAL INNOVATION FACTORY 143 Francisco CALLE MORENO
9.1. Introduction 143
9.2. Methodological background 143
9.3. Current status 144
9.3.1. Baseline 144
9.3.2. Technology change 145
9.3.3. The selected framework 146
9.3.4. A more technical overview of the selected framework: Meteor 147
9.3.5. Components 150
9.3.6. The main VIF application 151
9.3.7. Fostering creativity 153
9.3.8. Collaborative tools 154
9.3.9. The innovation observatory 156
9.3.10. The semantic shared whiteboard 157
9.4. Connection with other BIVEE components 158
9.5. Conclusions and future work 159
9.6. Bibliography 159
CHAPTER 10. THE PRODUCTION AND INNOVATION KNOWLEDGE REPOSITORY 161 Francesco TAGLINO and Fabrizio SMITH
10.1. Introduction 161
10.1.1. BIVEE innovation framework 162
10.1.2. Analysis of requirements 163
10.2. Key enabling semantic technologies 164
10.3. Ontological framework 165
10.3.1. Knowledge resource ontologies 166
10.4. Domain ontology building methodology 170
10.5. Semantic annotation 174
10.5.1. Ontology-based lifting of value production space knowledge 174
10.5.2. Ontology-based lifting of business innovation space knowledge 179
10.5.3. Application scenarios and main functionalities for the BIS 180
10.6. Semantic enrichment of semantic media contents 181
10.6.1. Semantic search to foster idea creation 182
10.6.2. Semantic correlation of SMCs 183
10.6.3. User-driven content browsing 183
10.7. Implementation 184
10.7.1. PIKR architecture overview 185
10.8. Conclusions 186
10.9. Bibliography 186
CHAPTER 11. MONITORING INNOVATION AND PRODUCTION IMPROVEMENT 189 Claudia DIAMANTINI, Domenico POTENA and Emanuele STORTI
11.1. Introduction 189
11.2. Related work 191
11.3. Architecture of the performance monitoring 193
11.4. KPIOnto 194
11.4.1. Analysis of requirements and KPI characteristics 194
11.4.2. Ontology schema 195
11.5. Semantic services 198
11.5.1. Formula manipulation 199
11.5.2. Consistency check 199
11.6. Semantic data handler 201
11.6.1. Query management 201
11.6.2. Architecture of the semantic data handler 202
11.7. User applications 205
11.7.1. KPIOnto Editor 205
11.7.2. KPIExplorer 207
11.8. Conclusion 209
11.9. Bibliography 210
CHAPTER 12. RAW DATA CONNECTION SERVICES AND TOOLS 213 Mauro ISAJA
12.1. Introduction 213
12.2. Raw data management 214
12.2.1. Data storage 215
12.2.2. Public API 220
12.2.3. Front-end 221
12.3. Semantic annotation and ETL development environment 222
12.3.1. Meta-data synchronization 224
12.3.2. Data translation 226
12.3.3. ETL job building 229
12.3.4. ETL job deployment 232
12.4. Bibliography 232
PART 4. CONCRETE EXPERIENCE OF INNOVATION IN A KNOWLEDGE CENTRIC ECONOMY 233
CHAPTER 13. INNOVATION AND PRODUCTION IMPROVEMENT IN VIRTUAL ENTERPRISES: THE USER PERSPECTIVE 235 Anil PACACI, Ali Anil SINACI and Asuman DOGAC
13.1. Why validation 235
13.2. End-users 235
13.2.1. AIDIMA 236
13.2.2. Loccioni 237
13.3. Pilot validation cases 238
13.3.1. AS-IS and TO-BE application cases 239
13.3.2. Connection to user requirements 240
13.4. First monitoring campaign (FMC) 243
13.4.1. Methodology 243
13.4.2. Analysis and conclusion 245
13.5. Second Monitoring Campaign (SMC) 248
13.5.1. Methodology 248
13.5.2. Analysis and conclusion 251
13.6. Impact analysis of BIVEE 253
13.7. Bibliography 255
CHAPTER 14. A METHODOLOGY FOR THE SETUP OF A VIRTUAL INNOVATION FACTORY PLATFORM 257 Cristina CRISTALLI, Daniela ISIDORI and Isabella TERZONI
14.1. Introduction 257
14.2. Innovation knowledge flow, storage and monitoring with the BIVEE platform 259
14.3. Virtual innovation factory platform 260
14.4. KPI selection and BIVEE platform prototype 262
14.5. Conclusions 263
14.6. Bibliography 264
CHAPTER 15. THE AIDIMA EXPERIENCE 265 Fernando GIGANTE VALENCIA
15.1. Introduction 265
15.2. Validation scenarios 266
15.3. Monitoring campaigns 271
15.4. The BIVEE setup 276
15.4.1. Product definition 276
15.4.2. Definition of processes 278
15.4.3. KPI management 279
15.5. Encountered issues 280
15.5.1. Furniture production cycles 281
15.5.2. Data sharing 281
15.5.3. Low technology SMEs 282
15.5.4. Process modeling 282
15.6. Improvements in the BIVEE environment 283
15.7. BIVEE cultural improvement 284
15.7.1. Collaborative approach 285
15.7.2. Information sharing 285
15.7.3. Process management 286
15.7.4. Detection of problems and opportunities 287
15.7.5. KPIs management 288
15.8. Conclusions 288
15.9. Bibliography 289
CONCLUSIONS 291
Michele MISSIKOFF
LIST OF AUTHORS 295
INDEX 297
