Enterprise Innovation

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.

• PREFACE . xiii PART 1. BIVEE PROJECT FRAMING 1CHAPTER 1. BUSINESS INNOVATION IN VIRTUAL ENTERPRISE ENVIRONMENTS 3Massimo CANDUCCI1.1. Introduction 31.2. Business innovation and virtual enterprises 51.3. Bibliography 6CHAPTER 2. FROM CREATIVITY TO INNOVATION: THE IMPORTANCE OF DESIGN 7Neil MAIDEN2.1. Creativity and innovation 72.2. Creative problem-solving methods 82.3. Linking creativity and innovation through design 92.4. Service design processes 102.5. Integrating creativity support more effectively into service design methods 152.6 Conclusions 182.7. Bibliography 19CHAPTER 3. THE BIVEE PROJECT: AN OVERVIEW OF METHODOLOGY AND TOOLS 21Michele MISSIKOFF and Pierluigi ASSOGNA3.1. Framing 213.2. The mission of BIVEE 243.3. Business ecosystems and virtual enterprises 263.4. Value production space 293.5. A participatory space for business innovation 343.6. BIVEE innovation waves 373.7. An integrated view of VPS and BIS 403.8. The macro-architecture of the BIVEE platform 423.9. Trial cases and impact 443.10. Bibliography 46PART 2. STORYTELLING ON BIVEE EXPERIENCE 47CHAPTER 4. A PROJECT OF COLLABORATIVE NETWORKED INNOVATION 49Cristina CRISTALLI, Daniela ISIDORI and Isabella TERZONI4.1. Introduction 494.2. Creativity wave 504.2.1. Proposed idea 504.3. Idea submission: Flumen 584.4. Innovation project: Flumen 604.4. Feasibility wave 644.5. Prototyping wave 664.6. Engineering wave 694.7. Conclusions 71CHAPTER 5. A DAY OF NETWORKED PRODUCTION IMPROVEMENT 73Fernando GIGANTE VALENCIA, Anil PACACI and Ali Anil SINACI5.1. Resources involved 735.2. Setting the scene 755.3. Plan phase 765.3.1. Sales trend analysis 765.3.2. Order evaluation 775.3.3. Product definition 775.3.4. Network setup 795.4. Source phase 805.4.1. Stock analysis 805.4.2. Supplier selection 815.4.3. Purchase management 825.4.4. Component storage 835.5. Build phase 835.5.1. Component manufacturing 835.5.2. Finishing 845.5.3. Product assembly 855.5.4. Quality control 855.6. Delivery phase 865.6.1. Packing 865.6.2. Order preparation 865.6.3. Shipping 875.6.4. Delivery 875.7. Final considerations 885.8. Bibliography 89PART 3. INNOVATING INNOVATION: BIVEE ACHIEVEMENTS 91CHAPTER 6. THE BIVEE FRAMEWORK AND THE COLLABORATIVE INNOVATION CAPABILITY MATURITY MODEL (CICMM) 93Benjamin KNOKE6.1. The virtual enterprise modeling framework (VEMF) 946.1.1. VEMF: methodological background 956.1.2. VEMF: virtual enterprise setup 966.1.3. VEMF: modeling framework for production processes 996.2. Business innovation reference framework 1016.2.1. BIRF: methodological background 1016.2.2. BIRF: reference framework for innovation projects 1036.3. Monitoring framework 1046.4. Collaborative innovation capability maturity model (CICMM) 1076.5. Conclusion and outlook 1086.6. Bibliography 109CHAPTER 7. THE BIVEE ENVIRONMENT: DESCRIPTION OF THE OVERALL SOFTWARE ARCHITECTURE  111Mauro ISAJA7.1. Introduction 1117.2. BIVEE environment reference architecture 1137.3. The BIVEE platform 1137.3.1. Production and innovation knowledge repository 1147.3.2. Web portal 1207.4. BIVEE application: the mission control room 1227.5. BIVEE application: the virtual innovation factory 1237.6. Conclusions 1237.7. Bibliography 123CHAPTER 8. THE MISSION CONTROL ROOM 125Nesat EFENDIOGLU, Wilfrid UTZ and Robert WOITSCH8.1. Introduction 1258.2. Application scenarios 1268.2.1. Virtual enterprise design 1268.2.2. Virtual execution assistant 1288.2.3. Virtual enterprise monitoring 1298.2.4. Collecting feedback through the whiteboard 1318.3. Concept 1328.3.1. Identified requirements and issues 1328.3.2. Approach and solution 1338.4. Realization/technology 1358.5. User experience 1398.6. Conclusion 1408.7. Bibliography 141CHAPTER 9. THE VIRTUAL INNOVATION FACTORY 143Francisco CALLE MORENO9.1. Introduction 1439.2. Methodological background 1439.3. Current status 1449.3.1. Baseline 1449.3.2. Technology change 1459.3.3. The selected framework 1469.3.4. A more technical overview of the selected framework: Meteor 1479.3.5. Components 1509.3.6. The main VIF application 1519.3.7. Fostering creativity 1539.3.8. Collaborative tools 1549.3.9. The innovation observatory 1569.3.10. The semantic shared whiteboard 1579.4. Connection with other BIVEE components 1589.5. Conclusions and future work 1599.6. Bibliography 159CHAPTER 10. THE PRODUCTION AND INNOVATION KNOWLEDGE REPOSITORY 161Francesco TAGLINO and Fabrizio SMITH10.1. Introduction 16110.1.1. BIVEE innovation framework 16210.1.2. Analysis of requirements 16310.2. Key enabling semantic technologies 16410.3. Ontological framework 16510.3.1. Knowledge resource ontologies 16610.4. Domain ontology building methodology 17010.5. Semantic annotation 17410.5.1. Ontology-based lifting of value production space knowledge 17410.5.2. Ontology-based lifting of business innovation space knowledge 17910.5.3. Application scenarios and main functionalities for the BIS 18010.6. Semantic enrichment of semantic media contents 18110.6.1. Semantic search to foster idea creation 18210.6.2. Semantic correlation of SMCs 18310.6.3. User-driven content browsing 18310.7. Implementation 18410.7.1. PIKR architecture overview 18510.8. Conclusions 18610.9. Bibliography 186CHAPTER 11. MONITORING INNOVATION AND PRODUCTION IMPROVEMENT 189Claudia DIAMANTINI, Domenico POTENA and Emanuele STORTI11.1. Introduction 18911.2. Related work 19111.3. Architecture of the performance monitoring 19311.4. KPIOnto 19411.4.1. Analysis of requirements and KPI characteristics 19411.4.2. Ontology schema 19511.5. Semantic services 19811.5.1. Formula manipulation 19911.5.2. Consistency check 19911.6. Semantic data handler 20111.6.1. Query management 20111.6.2. Architecture of the semantic data handler 20211.7. User applications 20511.7.1. KPIOnto Editor 20511.7.2. KPIExplorer 20711.8. Conclusion 20911.9. Bibliography 210CHAPTER 12. RAW DATA CONNECTION SERVICES AND TOOLS 213Mauro ISAJA12.1. Introduction 21312.2. Raw data management 21412.2.1. Data storage 21512.2.2. Public API 22012.2.3. Front-end 22112.3. Semantic annotation and ETL development environment 22212.3.1. Meta-data synchronization 22412.3.2. Data translation 22612.3.3. ETL job building 22912.3.4. ETL job deployment 23212.4. Bibliography 232PART 4. CONCRETE EXPERIENCE OF INNOVATION IN A KNOWLEDGE CENTRIC ECONOMY 233CHAPTER 13. INNOVATION AND PRODUCTION IMPROVEMENT IN VIRTUAL ENTERPRISES: THE USER PERSPECTIVE 235Anil PACACI, Ali Anil SINACI and Asuman DOGAC13.1. Why validation 23513.2. End-users 23513.2.1. AIDIMA 23613.2.2. Loccioni 23713.3. Pilot validation cases 23813.3.1. AS-IS and TO-BE application cases 23913.3.2. Connection to user requirements 24013.4. First monitoring campaign (FMC) 24313.4.1. Methodology 24313.4.2. Analysis and conclusion 24513.5. Second Monitoring Campaign (SMC) 24813.5.1. Methodology 24813.5.2. Analysis and conclusion 25113.6. Impact analysis of BIVEE 25313.7. Bibliography 255CHAPTER 14. A METHODOLOGY FOR THE SETUP OF A VIRTUAL INNOVATION FACTORY PLATFORM  257Cristina CRISTALLI, Daniela ISIDORI and Isabella TERZONI14.1. Introduction 25714.2. Innovation knowledge flow, storage and monitoring with the BIVEE platform 25914.3. Virtual innovation factory platform 26014.4. KPI selection and BIVEE platform prototype 26214.5. Conclusions 26314.6. Bibliography 264CHAPTER 15. THE AIDIMA EXPERIENCE 265Fernando GIGANTE VALENCIA15.1. Introduction 26515.2. Validation scenarios 26615.3. Monitoring campaigns 27115.4. The BIVEE setup 27615.4.1. Product definition 27615.4.2. Definition of processes 27815.4.3. KPI management 27915.5. Encountered issues 28015.5.1. Furniture production cycles 28115.5.2. Data sharing 28115.5.3. Low technology SMEs 28215.5.4. Process modeling 28215.6. Improvements in the BIVEE environment 28315.7. BIVEE cultural improvement 28415.7.1. Collaborative approach 28515.7.2. Information sharing 28515.7.3. Process management 28615.7.4. Detection of problems and opportunities 28715.7.5. KPIs management 28815.8. Conclusions 28815.9. Bibliography 289CONCLUSIONS 291Michele MISSIKOFFLIST OF AUTHORS 295INDEX 297