Knowledge and Ideation: Inventive Knowledge Analysis for Ideation Stimulation

Description

Our world overwhelms us with more and more data every day. Yet we need to face many challenges in order to deal with its complexity – notably to discern the essential from the accessory, to exploit quality and not quantity, to explore the depth of our knowledge and to produce from it, in a reasoned way, effective ideas to be put into action. A synthesis of a triple experience in industry, pedagogy and academia, Knowledge and Ideation presents numerous concepts, such as the dematerialized knowledge object, inventive intellectual heritage, inventive potential, and knowledge-based ideation. This book develops and describes applications in the form of case studies while proposing prospects. Cover Title Page Copyright Page Contents Foreword Preface Part 1. Inventive Knowledge and Inventive Intellectual Corpus Chapter 1. Nature of Inventive Knowledge 1.1. Knowledge levels 1.1.1. Knowledge in everyday life 1.1.2. Scientific knowledge 1.1.3. Knowledge in the Japanese intellectual tradition 1.1.4. Knowledge according to cognitive science 1.2. The limits of knowledge 1.3. Value chain and knowledge evolution chain 1.3.1. The knowledge value chain inspired by Porter 1.3.2. The DIKW knowledge evolution chain 1.4. Inventive knowledge concepts 1.4.1. Current and fruitful ideas 1.4.2. Depth of inventive knowledge 1.5. Cognitive and social dimensions of the knowledge actor 1.5.1. From erudite (scholar) to expert 1.5.2. From expert to inventor 1.6. Conclusion Chapter 2. Representation and Analysis of Inventive Knowledge 2.1. The concept of dematerialized knowledge object 2.1.1. Founding principle 2.1.2. Illustration by electromagnetic wave detection object 2.1.3. Application to the description included in patents 2.2. Cartography or mapping 2.2.1. Introduction 2.2.2. Information mapping 2.2.3. Knowledge mapping 2.3. The map 2.3.1. Introduction to the map 2.3.2. Types of maps 2.4. Cognitive mapping 2.5. The cognitive map 2.6. A reasoned procedure for analyzing inventive knowledge 2.6.1. Introduction 2.6.2. Work on a knowledge structure 2.6.3. Example of an invention file 2.7. Conclusion Chapter 3. Knowledge: Bridge between Innovation, Invention and Intellectual Property 3.1. Innovation 3.1.1. Multidimensional aspect of innovation 3.1.2. Innovation procedures and processes 3.2. Invention and the ability to invent 3.2.1. Concept of inventiveness 3.2.2. Concept of creativity 3.2.3. Combining creativity and inventiveness 3.3. Intellectual property rights 3.3.1. General information on intellectual property rights and copyright 3.3.2. The patent 3.3.3. Summary 3.4. Analysis of the links between invention, innovation and inventive intellectual corpus 3.4.1. Links between industrial property rights and innovation 3.4.2. Links between industrial property rights and invention 3.4.3. Links between invention and intellectual property rights 3.4.4. Links between innovation and intellectual property rights 3.4.5. Links between invention and innovation 3.4.6. Links between innovation and invention 3.4.7. Reciprocal links of the inventive activity and the inventive intellectual corpus 3.5. The nature of the bridges between knowledge domains 3.5.1. The perspective of economists 3.5.2. The knowledge management perspective on innovation 3.5.3. The perspective of KBI (Knowledge-Based Innovation) 3.6. Conclusion Chapter 4. Knowledge Capital and Inventive Intellectual Corpus 4.1. Knowledge capital and intellectual corpus 4.1.1. Knowledge capital 4.1.2. Intellectual corpus 4.2. Inventive intellectual corpus 4.2.1. Dematerialized nature of the inventive intellectual corpus 4.2.2. Epistemic diagram of the inventive intellectual corpus 4.2.3. Inventive intellectual corpus versus intangible capital 4.2.4. Inventive intellectual corpus and creation of inventive knowledge 4.2.5. Traces in the inventive intellectual corpus 4.3. Projection of the inventive intellectual corpus on the inventive knowledge map® 4.4. Conclusion Part 2. Knowledge-Based Innovation Chapter 5. Innovation Dynamics and Innovation as a Mode of Innovative Problem Solving 5.1. Innovation dynamics 5.2. Using knowledge to find innovative solutions 5.2.1. Relationship between knowledge management and innovation within the general framework 5.2.2. Relationship between knowledge management and innovation within the context of research and development activities 5.2.3. Known knowledge management methods instrumenting innovation 5.3. Overview of some common methods and techniques 5.4. Innovation and knowledge evolution by the principle of divergence-convergence 5.5. Innovation and knowledge evolution by the principle of analogy 5.6. Innovation and knowledge evolution by the principle of expansion 5.7. Generalization: global problem-solving process 5.8. Conclusion Chapter 6. Innovation in Ideation Mode 6.1. The concept of ideation 6.2. Knowledge-based innovation (KBI) field 6.2.1. Relationship between knowledge management and innovation 6.2.2. Management by the strategic capabilities portfolio 6.2.3. Knowledge-based innovation as a process 6.2.4. Two key hypotheses 6.2.5. Systemic evolution 6.2.6. Path dependency 6.3. Principle of emergence 6.3.1. Need for a new principle for creativity 6.3.2. Principle of emergence 6.4. Theoretical model of knowledge evolution (the “chaotically” inspired model of knowledge evolution by emergence) 6.4.1. Step 1: knowledge, a complex system 6.4.2. Step 2: knowledge creation, an evolution of the knowledge system 6.4.3. Step 3: description of knowledge evolution by another complex system 6.4.4. Step 4: generalization of the evolution process to any complex system evolving over time 6.5. Theoretical model of inventive knowledge creation (step 5) 6.6. Instantiation of the “chaotically” inspired model of knowledge evolution by the ICAROS® method (step 6) 6.7. The purpose of ideation for innovation 6.8. Conclusion Chapter 7. Implementation of the ICAROS® Method: Case Study 7.1. Introduction to the case study 7.2. Funnel model 7.3. Presentation of the experiment context 7.3.1. Concept of Knowledge and Technology Areas Portfolio 7.3.2. Adaptation of the Knowledge and Technology Areas Portfolio concept to the company under observation: the Knowledge and Technology Areas Portfolio 7.4. Preliminary step: constitution of cognitive stimulus 7.4.1. Structuring of the intellectual corpus by knowledge domain 7.4.2. Development of cognitive stimulus 7.5. Course 7.5.1. Individual stimulation session 7.5.2. Seminar 7.5.3. Dissemination 7.6. Conclusion in the form of lessons learned Part 3. Inventive Activity and Visibility of Inventive Potential Chapter 8. The Inventive Potential of a Company 8.1. Reminder on inventive activity 8.2. Notion of inventive potential 8.3. Annual innovation and invention activity file 8.4. Concept of making the inventive potential visible 8.5. Inventive data knowledge base 8.6. Introduction to the activation of inventive knowledge extracted from inventive intellectual corpus 8.7. Conclusion Chapter 9. Managerial Applications 9.1. Reasoned contribution to technical strategic decision-making support 9.2. Strategic surveillance 9.2.1. Introduction 9.2.2. The place of strategic surveillance in overall performance steering 9.2.3. Knowledge management and environment surveillance 9.2.4. Interaction between knowledge capital and its environment 9.2.5. Knowledge-based strategic surveillance 9.3. Information system on patent portfolio management 9.3.1. Introduction 9.3.2. The patent file considered as a knowledge object 9.3.3. Description of the patent information system 9.3.4. Descriptive sheet of a patent file 9.3.5. Presentation support for the inventor’s working file 9.3.6. Applications 9.4. Valorization of inventive activity associated with intangible assets 9.4.1. Limits of automated analysis of technical information contained in a patent portfolio 9.4.2. Limits to the quality of the drafting of patent files 9.4.3. Identification of the knowledge generated by the inventive activity involved in the patent 9.5. Publication policy 9.6. Determination of the inventive activity for the research tax credit 9.6.1. Industrial research and development 9.6.2. Characteristics of the research tax credit in France 9.6.3. Application of inventive knowledge engineering methods 9.7. Reasoned contribution to innovation management 9.8. The knowledge worker 9.8.1. Knowledge worker definitions 9.8.2. Characteristics of the knowledge worker 9.8.3. The knowledge worker in their relationship with the law 9.8.4. Knowledge Manager 9.9. A new profession: the inventive activity expert 9.10. The cognitive scientist and inventive activity expert pair 9.11. Need for a change in culture 9.11.1. Compatibility of conventional companies with the development of creativity 9.11.2. New knowledge-based organization 9.12. Conclusion Part 4. Perspectives Chapter 10. Knowledge Assessment Based on Knowledge 10.1. Introduction 10.2. Fundamental principles of knowledge management 10.2.1. The virtuous circle of knowledge management 10.2.2. Notion of critical knowledge 10.2.3. Reminder: ascent along the knowledge evolution chain 10.3. Reminder on the social mechanism for stimulating creativity and reflexivity 10.3.1. Reminder on the model of “chaotic” evolution 10.3.2. Instantiation of the creativity process: the ICAROS® method 10.4. Transposition to the knowledge assessment field 10.4.1. Application of the fundamental principles of knowledge management 10.4.2. Application of the social mechanism of stimulation 10.5. Case study (2019–2020 academic year) 10.5.1. Context 10.5.2. Objectives of the action research 10.5.3. Preparation of the framework 10.5.4. Precautions taken with regard to students 10.5.5. Example of exercise subject terms 10.5.6. Analysis of the score database 10.5.7. Benefits of the analysis in the institution 10.5.8. Lessons learned and perspectives 10.6. Conclusion Chapter 11. Towards an IKM®: Inventive Knowledge Management 11.1. Introduction to the second level of the ICAROS® method 11.1.1. Reminder on the first level of the ICAROS® method 11.1.2. The second level of the ICAROS® method 11.1.3. Notions of creativity 11.1.4. Contribution of creativity and inventiveness to ideation 11.2. Knowledge-based ideation 11.2.1. Introduction to the Idea according to Plato 11.2.2. Knowledge-based ideation and supervenience 11.2.3. Gestalt theory 11.2.4. Synthesis of knowledge-based ideation 11.3. Inventive profile engineering 11.4. Perspectives from the academic point of view 11.4.1. Inventive knowledge creation process as a study object in itself 11.4.2. Theoretical approach to knowledge by the physical sciences 11.4.3. Extension of the exploration to non-creativity 11.4.4. Reminder on the path hypothesis 11.5. Conclusion Glossary References Index EULA