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Edité par Springer-Verlag Berlin Heidelberg, Germany / London, 1998
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Ajouter au panierPaperback. Etat : New. Language: English. About The Author: C.S.R. Prabhu, Director General(Retd.) National, Informatics Centre (NIC), New Delhi (Ministry of, Communications and Information Technology, Department of Electronics and Information, Technology). After obtaining Master of, Technology degree in Electrical Engineering with, specialisation in Computer Science from IIT, Mumbai in 1978, he has worked in various, capacities at Tata Consultancy Services, CMC, TES and TELCO (Tata Motors) before joining, NIC. He also has teaching and research experience, at the University of Central Florida, Orlando, Florida. He has been a software consultant to, NASA; Florida Savings and Loans, Orlando and, Hughes Aircraft Corporation, Irvine, California., An author of several books including (1) Semantic, Database Systems, (2) ObjectOriented Database, Systems; Approaches and Architectures, 2nd ed., (3) Data Warehousing; Concepts, Techniques, Products and Applications, 3rd ed., (4) EGovernance:, Concepts and Case Studies, (5) Blue, Tooth and (6) Grid and Cluster Computing. He, was also the Editor of Proceedings of the 9th, International Conference on Management of Data, (COMAD 98) and also Mobile Computing (2000)., He was State Informatics Officer (SIO), National Informatics Centre (NIC) for Andhra, Pradesh and Tamilnadu where he was responsible, for implementing egovernance projects as e, Panchayat, Eucalyptus Cloud, National Data, Centre and National Training Centre., at NIC Hqrs., New Delhi he is, coordinating the Energy Sector, National, Information Infrastructure (NII) 2.0, National, Optic Fibre Network (NOFN) Applications, Knowledge Management and Project Evaluation, and Management activities of NIC Contents: Contents, Preface 9, Acknowledgements 11, 1. Knowledge and its Management in 13, an Organisation, 1.1. Knowledge Management (KM), 1.1.1. Knowledge Management (KM) , Schools of Thought A Summary, View, 1.1.2. Intellectual Capital, 1.1.3. Knowledge Transfer, 1.1.4. Organisational learning, 1.1.5. Knowledge Innovation, 1.2. Motivation for Knowledge Management, 1.3. The Knowledge Lens, 1.4. Organisation as a Knowledge Ecosystem, 1.4.1. Aim of Knowledge Management in the, Knowledge Ecosystem of the, Organisation, 1.4.2. Implementing Knowledge Management, Interventions the Map/Build/, Operationalise Cycle, 1.5. Conclusion, 2. Knowledge Mapping 31, 2.1. The Methodology of Mapping, 2.2. Existing Knowledge Ecosystem, 2.2.1. How to Perform mapping of an, Existing Knowledge System?, 2.3. Enablers for Knowledge Analysis, 2.4. Knowledge Management Maturity Model, (KMMM), 2.5. Results of Mapping Phase, 6 Knowledge Management and Information Technology, 2.6. Conclusion, 3. Building Phase for KM 39, 3.1. Activities for KM Intervention, 3.2. Evolution of KM in the Organisation, 3.3. Enablers, 3.4. Prototyping and Pilot Projects, 3.5. Building Organisational Structures and, Linkages, 3.6. Communicating Knowledge Intervention, 3.7. Building Champions, Advocates, Promoters, Mandate and Organisational, Competetiveness, 3.8. Resistance Maangement, 3.9. Outcomes of Build Phase, 3.10. Conclusion, 4. Operationalisation 47, 4.1. Operationalisation of Knowledge and, Knowledge Management Initiatives and, Interventions, 4.2. Operational Environments, 4.3. Branding and its Benefits, 4.4. Operational Champions, Advocates and, Mandate, 4.5. Competencies and Skills in Operationalisation., 4.6. Sustainability beyond Operationalisation, Phase, 4.7. Indications of success, 4.8. Conclusion, 5. Critical Success Factors 53, 5.1. Status and Maturity Level of IT, implementation in the organisation., 5.2. Knowledge Repositories, 5.3. Organisational Culture, 5.4. Top Management Commitment, 5.5. Motivation of Employees, 5.6. Human Resources, 5.7. Conclusion, 6. Enablers for Knowledge 63, Management (KM), 6.1. Action Taken Reviews (ATR), 6.2. Business Process Reengineering, CONTENTS: 7, 6.3. Champions and Advocates, 6.4. Communities of Interest, 6.5. Communities of Practice, 6.6. Change Management, 6.7. Content Management, 6.8. Document Management, 6.9. Environmental Scanning, 6.10. Auditing of Information, 6.11. Knowledge Auditing, 6.12. Knowledge Literacy, 6.13. Knowledge Mapping, 6.14. Leadership for KM, 6.15. Conclusion, 7. Information Technology and 73, Knowledge Management, 7.1. KM and Workflow Processes, 7.2. Organisational Memories, 7.3. Information Filtering, 7.4. Software Process Improvement using, Knowledge Management, 7.4.1. Knowledge Management in Virtual, Software Corporation (VSC), 7.4.2. Methodology for KM Implementation, in Virtual Software Corporations, (VSCs), 7.4.3. KM Process Model Utilisation in a, Virtual Software Corporation (VSC)., 7.5. Knowledge Management (KM) and, Information Security Management (ISM), (KM and ISM), 7.5.1. Similarities between KM and ISM, 7.5.2. Dependence on People, 7.5.3. Public Good Production, 7.5.4. Exclusively Usable Knowledge, 7.6. Organisational Challenge, 7.7. Conclusion, 8. Knowledge Transfer 89, 8.1. Successive Knowledge Transfer (KT), 8.2. Knowledge Source, 8.3. Knowledge Development Stages and Cycles, 8.4. External and Internal Factors Affecting, 8 Knowledge Management and Information Technology, Knowledge Development Cycle, 8.5. Knowledge Transfer, 8.6. Knowledge Transfer (KT) Methods, 9. Distributed Knowledge Management 109, Systems (DKMS) for Internet Age, 9.1. Distributed/Object Oriented Datawarehouse/, Distributed Knowledge Management System, 9.2. DKMS Definition and Characteristics, 9.3. How to Create a DKMS?, 9.4. Identifying business Objectives and Goals of, the Enterprise, 9.5. Major Subsystem Definition, 9.5.1. Business Process, 9.5.2. Subprocess as a Process, 9.5.3. Actors, 9.5.4. Use Cases, 9.6. Requirement Analysis, 9.7. Object Model for the Enterprise, 9.7.1. Components, 9.7.2. Storage Object Modelling, 9.7.3. System Design, 9.8. Object Interaction Modelling (OIM), 9.9. Dynamic Modelling, 9.9.1. Detailed Design of Object Types, Relationships and Interactions, 9.9.2. SOM Database Di.
Langue: anglais
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Ajouter au panierHardcover. Etat : New. Language: English. About The Author: C.S.R. Prabhu, Director General(Retd.) National, Informatics Centre (NIC), New Delhi (Ministry of, Communications and Information Technology, Department of Electronics and Information, Technology). After obtaining Master of, Technology degree in Electrical Engineering with, specialisation in Computer Science from IIT, Mumbai in 1978, he has worked in various, capacities at Tata Consultancy Services, CMC, TES and TELCO (Tata Motors) before joining, NIC. He also has teaching and research experience, at the University of Central Florida, Orlando, Florida. He has been a software consultant to, NASA; Florida Savings and Loans, Orlando and, Hughes Aircraft Corporation, Irvine, California., An author of several books including (1) Semantic, Database Systems, (2) ObjectOriented Database, Systems; Approaches and Architectures, 2nd ed., (3) Data Warehousing; Concepts, Techniques, Products and Applications, 3rd ed., (4) EGovernance:, Concepts and Case Studies, (5) Blue, Tooth and (6) Grid and Cluster Computing. He, was also the Editor of Proceedings of the 9th, International Conference on Management of Data, (COMAD 98) and also Mobile Computing (2000)., He was State Informatics Officer (SIO), National Informatics Centre (NIC) for Andhra, Pradesh and Tamilnadu where he was responsible, for implementing egovernance projects as e, Panchayat, Eucalyptus Cloud, National Data, Centre and National Training Centre., at NIC Hqrs., New Delhi he is, coordinating the Energy Sector, National, Information Infrastructure (NII) 2.0, National, Optic Fibre Network (NOFN) Applications, Knowledge Management and Project Evaluation, and Management activities of NIC Contents: Contents, Preface 9, Acknowledgements 11, 1. Knowledge and its Management in 13, an Organisation, 1.1. Knowledge Management (KM), 1.1.1. Knowledge Management (KM) , Schools of Thought A Summary, View, 1.1.2. Intellectual Capital, 1.1.3. Knowledge Transfer, 1.1.4. Organisational learning, 1.1.5. Knowledge Innovation, 1.2. Motivation for Knowledge Management, 1.3. The Knowledge Lens, 1.4. Organisation as a Knowledge Ecosystem, 1.4.1. Aim of Knowledge Management in the, Knowledge Ecosystem of the, Organisation, 1.4.2. Implementing Knowledge Management, Interventions the Map/Build/, Operationalise Cycle, 1.5. Conclusion, 2. Knowledge Mapping 31, 2.1. The Methodology of Mapping, 2.2. Existing Knowledge Ecosystem, 2.2.1. How to Perform mapping of an, Existing Knowledge System?, 2.3. Enablers for Knowledge Analysis, 2.4. Knowledge Management Maturity Model, (KMMM), 2.5. Results of Mapping Phase, 6 Knowledge Management and Information Technology, 2.6. Conclusion, 3. Building Phase for KM 39, 3.1. Activities for KM Intervention, 3.2. Evolution of KM in the Organisation, 3.3. Enablers, 3.4. Prototyping and Pilot Projects, 3.5. Building Organisational Structures and, Linkages, 3.6. Communicating Knowledge Intervention, 3.7. Building Champions, Advocates, Promoters, Mandate and Organisational, Competetiveness, 3.8. Resistance Maangement, 3.9. Outcomes of Build Phase, 3.10. Conclusion, 4. Operationalisation 47, 4.1. Operationalisation of Knowledge and, Knowledge Management Initiatives and, Interventions, 4.2. Operational Environments, 4.3. Branding and its Benefits, 4.4. Operational Champions, Advocates and, Mandate, 4.5. Competencies and Skills in Operationalisation., 4.6. Sustainability beyond Operationalisation, Phase, 4.7. Indications of success, 4.8. Conclusion, 5. Critical Success Factors 53, 5.1. Status and Maturity Level of IT, implementation in the organisation., 5.2. Knowledge Repositories, 5.3. Organisational Culture, 5.4. Top Management Commitment, 5.5. Motivation of Employees, 5.6. Human Resources, 5.7. Conclusion, 6. Enablers for Knowledge 63, Management (KM), 6.1. Action Taken Reviews (ATR), 6.2. Business Process Reengineering, CONTENTS: 7, 6.3. Champions and Advocates, 6.4. Communities of Interest, 6.5. Communities of Practice, 6.6. Change Management, 6.7. Content Management, 6.8. Document Management, 6.9. Environmental Scanning, 6.10. Auditing of Information, 6.11. Knowledge Auditing, 6.12. Knowledge Literacy, 6.13. Knowledge Mapping, 6.14. Leadership for KM, 6.15. Conclusion, 7. Information Technology and 73, Knowledge Management, 7.1. KM and Workflow Processes, 7.2. Organisational Memories, 7.3. Information Filtering, 7.4. Software Process Improvement using, Knowledge Management, 7.4.1. Knowledge Management in Virtual, Software Corporation (VSC), 7.4.2. Methodology for KM Implementation, in Virtual Software Corporations, (VSCs), 7.4.3. KM Process Model Utilisation in a, Virtual Software Corporation (VSC)., 7.5. Knowledge Management (KM) and, Information Security Management (ISM), (KM and ISM), 7.5.1. Similarities between KM and ISM, 7.5.2. Dependence on People, 7.5.3. Public Good Production, 7.5.4. Exclusively Usable Knowledge, 7.6. Organisational Challenge, 7.7. Conclusion, 8. Knowledge Transfer 89, 8.1. Successive Knowledge Transfer (KT), 8.2. Knowledge Source, 8.3. Knowledge Development Stages and Cycles, 8.4. External and Internal Factors Affecting, 8 Knowledge Management and Information Technology, Knowledge Development Cycle, 8.5. Knowledge Transfer, 8.6. Knowledge Transfer (KT) Methods, 9. Distributed Knowledge Management 109, Systems (DKMS) for Internet Age, 9.1. Distributed/Object Oriented Datawarehouse/, Distributed Knowledge Management System, 9.2. DKMS Definition and Characteristics, 9.3. How to Create a DKMS?, 9.4. Identifying business Objectives and Goals of, the Enterprise, 9.5. Major Subsystem Definition, 9.5.1. Business Process, 9.5.2. Subprocess as a Process, 9.5.3. Actors, 9.5.4. Use Cases, 9.6. Requirement Analysis, 9.7. Object Model for the Enterprise, 9.7.1. Components, 9.7.2. Storage Object Modelling, 9.7.3. System Design, 9.8. Object Interaction Modelling (OIM), 9.9. Dynamic Modelling, 9.9.1. Detailed Design of Object Types, Relationships and Interactions, 9.9.2. SOM Database Di.
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