Systemic Innovation : Entrepreneurial Strategies and Market Dynamics /: Entrepreneurial Strategies and Market Dynamics. (2020)

• Record Type: Book
• Further Information: Note: Dimitri Uzunidis.
• Editors: Uzunidis, Dimitri
• Contents: General Introduction: Systemic Innovations and Transformation of Organizational Models xi; Dimitri UZUNIDIS Chapter 1. Enterprise Through the Lens of Agility, Creativity and Monitoring Method Combinations 1; Stéphane GORIA 1.1. Introduction 1 1.2. Agility and its manifesto 2 1.3. Agility and the design process 4 1.4. Agility and creativity 7 1.5. Agility and decision-making 9 1.6. Innovation-oriented agile monitoring 12 1.7. Conclusion 14 1.8. References 15 Chapter 2. Science Fiction: A Strategic Approach for Innovative Organizations 19; Thomas MICHAUD 2.1. Introduction 19 2.2. Science fiction, a futuristic fantasy for engineers and innovators 21 2.2.1. The scientific imagination behind major discoveries 21 2.2.2. Examples: virtual reality and the conquest of Mars 22 2.3. Science fiction and creativity: new approaches 25 2.3.1. Design fiction, a method for stimulating creativity 25 2.3.2. Science fiction prototyping 27 2.4. Towards a theory of technotypes 27 2.4.1. Utopian technologies and the technological utopianism of American culture 28 2.4.2. Technotypes, structures of the technical imaginary 31 2.5. Conclusion 33 2.6. References 34 Chapter 3. The Management of Inventive Knowledge: From Inventive Intellectual Corpus to Innovation 37; Pierre SAULAIS and Jean-Louis ERMINE 3.1. Introduction 37 3.2. From knowledge capital to knowledge management 38 3.3. Knowledge-based knowledge management 40 3.4. The knowledge capital and the inventive intellectual corpus 42 3.4.1. Knowledge capital 42 3.4.2. The inventive intellectual corpus and the dematerialized knowledge object 43 3.4.3. The inventive intellectual corpus at the heart of innovation 43 3.5. The virtuous cycle of knowledge management 45 3.6. The MASK method 46 3.6.1. MASK II: Analysis of knowledge capital 47 3.6.2. MASK I: Capitalization of knowledge capital 48 3.6.3. MASK III: Sharing the knowledge capital 48 3.6.4. MASK IV: Evolution of the knowledge capital 49 3.7. Illustrations with real cases from “economic reality” 50 3.7.1. Strategic analysis and capitalization: the case of IRSN 50 3.7.2. Transfer: the case of Sonatrach 53 3.7.3. Innovation: the case of ONERA 58 3.8. Conclusion 62 3.9. References 63 Chapter 4. Evolution of Firms Trajectories and Innovation: Knowledge Capital and Financial Opportunities 67; Blandine LAPERCHE 4.1. Introduction 67 4.2. Technological and firms trajectories 68 4.2.1. Technological paradigms and trajectories: first definitions 68 4.2.2. Paradigms, regimes and trajectories: empirical studies 69 4.2.3. The firm’s trajectory or evolutionary path 71 4.3. The formation of trajectories: knowledge capital and financial opportunities 73 4.3.1. Dynamic capabilities and knowledge capital 73 4.3.2. The collective dimension of trajectories and its consequences 75 4.3.3. Financial opportunities, firm evolution and technical change 77 4.4. Conclusion 79 4.5. References 79 Chapter 5. From Shared Inventions to Competitive Innovations: Networks and Enterprise Automation Strategies 85; Michel VIGEZZI and Dimitri UZUNIDIS 5.1. Introduction 85 5.2. Applications of recent concepts in automation: social dynamics, shared inventions and competitive innovations 87 5.2.1. Shared inventions… 87 5.2.2. Competitive innovations 90 5.2.3. Social dynamics 93 5.2.4. What coherences are there between shared inventions and competitive innovations? 94 5.3. “Phase 1” automation: machine inventions, networks of inventors and jobs 94 5.3.1. The discoveries of these shared inventions 95 5.3.2. Networks and shared inventions 96 5.4. Phase 2 automation: innovations and sets of machines, networks and work dimensions 100 5.4.1. Automation and changes in work 100 5.5. Conclusion 105 5.6. References 106 Chapter 6. Technologies and Inter-industrial Collaborations: A Patent Analysis 111; Didier LEBERT and François-Xavier MEUNIER 6.1. Introduction 111 6.2. Method: the co-patent multigraph 112 6.3. Data and descriptive statistics 116 6.4. A structural look at R&D cooperation: results and discussion 124 6.5. Conclusion 133 6.6. Appendix 135 6.7. References 141 Chapter 7. Technological Change and Environmental Transition: Lessons from the Case of the Automobile 143; Smaïl AÏT-EL-HADJ 7.1. Introduction 143 7.2. Encountering a major technological limit: the environmental limitation 144 7.2.1. Technological system dynamics 144 7.2.2. Nature and forms of the environmental limit 145 7.3. The irruption of the environmental limit as a determining/dominant factor in technological change: the case of automotive system technology 146 7.3.1. The environmental limit of the automotive system 147 7.3.2. Corrective action of a social, fiscal and regulatory nature 149 7.3.3. Forms and stages of technological change in road transport 153 7.4. The environmental limit as a factor of a major technological change 157 7.4.1. Nature and actions of environmental limits 157 7.4.2. Generation of a new change regime 158 7.5. Conclusion 160 7.6. References 161 Chapter 8. The Transformation of Defense Innovation Systems: Knowledge Bases, Disruptive Technologies and Operational Capabilities 163; Pierre BARBAROUX 8.1. Introduction 163 8.2. The evolution of knowledge bases: duality and complexity 165 8.2.1. Dual-use technology 165 8.2.2. Knowledge complexity and scientific intensity 168 8.3. The disruptive impact of technology: artificial intelligence and autonomous systems 169 8.3.1. AI: definitions and sources of legitimacy 170 8.4. The transformation of military capabilities: network-centric warfare and multi-domain C2 174 8.4.1. First step: network-centric warfare (NCW) 174 8.4.2. Second step: multi-domain command and control (MDC2) 176 8.5. Conclusion 178 8.6. References 178 Chapter 9. Nanotechnologies and Business Intelligence: Challenges of Information Valorization and Knowledge Creation 183; Jean-Louis MONINO 9.1. Introduction 183 9.2. Overview of nanotechnology and its economic and technical potential. 184 9.2.1. Understanding nanotechnology 185 9.2.2. The challenges of nanotechnology 188 9.2.3. The limits of nanotechnology 190 9.3. Business intelligence 192 9.3.1. History and definition of business intelligence 192 9.3.2. Information at the heart of business intelligence 193 9.4. Business intelligence and nanotechnology 195 9.4.1. Examples: quantum computers, RFID chips 196 9.4.2. Nanotechnology in industry 197 9.4.3. What are the limits and stakes? 199 9.5. Conclusion 200 9.6. References 201 Chapter 10. When Innovation Innovates: How Artificial Intelligence Challenges the Patent System 205; Marc BAUDRY and Beatrice DUMONT 10.1. Introduction 205 10.2. Definitions and evolution over time of AI technologies 207 10.3. The difficult issue of the patentability of AI 209 10.3.1. The patent subject-matter eligibility of AI technologies 209 10.3.2. Who should be listed as the inventor? 213 10.3.3. Liability for patent infringement by AI 215&
• Edition: 1st
• Publisher Details: Wiley-ISTE
• Publication Date: 2020
• Extent: 1 online resource (288 pages)
• Languages: English
• ISBNs: 9781119779377
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.