
Knowledge Management in the Intelligence Enterprise
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Content
- Knowledge Management in the Intelligence Enterprise
- Contents vii
- Preface xiii
- 1 Knowledge Management and Intelligence 1
- 1.1 Knowledge in a Changing World 4
- 1.2 Categories of Intelligence 10
- 1.3 The Intelligence Disciplines and Applications 12
- 1.4 The Intelligence Enterprise 17
- 1.5 The State of the Art and the State of the Intelligence Tradedcraft 20
- 1.6 The Organization of This Book 23
- Endnotes 24
- Selected Bibliography 26
- 2 The Intelligence Enterprise 29
- 2.1 The Stakeholders of Nation-State Intelligence 29
- 2.2 Intelligence Processes and Products 33
- 2.3 Intelligence Collection Sources and Methods 35
- 2.4 Collection and Process Planning 40
- 2.5 KM in the Intelligence Process 42
- 2.6 Intelligence Process Assessments and Reengineering 44
- 2.7 The Future of Intelligence 48
- Endnotes 51
- 3 Knowledge Management Processes 55
- 3.1 Knowledge and Its Mangement 56
- 3.2 Tacit and Explicit Knowledge 62
- 3.3 An Intelligence Use Case Spiral 74
- 3.4 Taxonomy of KM 80
- 3.5 Intelligence As Capital 85
- 3.6 Intelligence Business Strategy and Models 93
- 3.7 Intelligence Enterprise Architecture and Applications 96
- 3.8 Summary 102
- Endnotes 104
- 4 The Knowledge-Based Intelligence Organization 107
- 4.1 Virtues and Disciplines of the Knowledge-Based Organization 109
- 4.2 Organizational Learning 121
- 4.3 Organizational Collaboration 129
- 4.4 Organizational Problem Solving 142
- 4.5 Tradecraft: The Best Practices of Intelligence 151
- 4.6 Summary 153
- Endnotes 153
- 5 Principles of Intelligence Analysis and Synthesis 159
- 5.1 The Basis of Analysis and Synthesis 160
- 5.2 The Reasoning Processes 167
- 5.3 The Intergrated Reasoning Process 175
- 5.4 Analysis and Synthesis As a Modeling Process 180
- 5.5 Intelligence Targets in Three Domains 186
- 5.6 Summary 190
- Endnotes 191
- 6 The Practice of Intelligence Analysis and Synthesis 195
- 6.1 Intelligence Consumer Expectations 196
- 6.2 Analysis-Synthesis in the Intelligence Workflow 198
- 6.3 Applying Automation 203
- 6.4 The Role of the Human Analyst 205
- 6.5 Addressing Congitive Shortcomings 207
- 6.6 Marshaling Evidence and Structuring Argumentation 209
- 6.7 Evaluation Competing Hypotheses 223
- 6.8 Countering Denial and Deception 229
- 6.9 Summary 235
- Endnotes 235
- 7 Knowledge Internalization and Externalization 241
- 7.1 Externalization and Internalization in the Intelligence Workflow 241
- 7.2 Storage, Query, and Retrieval Services 245
- 7.3 Cognitive (Analytic Tool) Services 249
- 7.4 Intelligence Production, Dissemination, and Portals 256
- 7.5 Human-Machine Information Transactions and Interfaces 264
- 7.6 Summary 267
- Endnotes 268
- 8 Explicit Knowledge Capture and Combination 271
- 8.1 Explicit Capture, Representation, and Automated Reasoning 272
- 8.2 Automated Combination 275
- 8.3 Intelligence Modeling and Simulation 289
- 8.4 Summary 294
- Endnotes 294
- 9 The Intelligence Enterprise Architecture 299
- 9.1 Intelligence Enterprise Operations 300
- 9.2 Describing the Enterprise Architecture 302
- 9.3 Architecture Design Case Study: A Small CI Enterprise 306
- 9.4 Summary 322
- Endnotes 324
- 10 Knowledge Management Technologies 327
- 10.1 Role of IT in KM 327
- 10.2 KM Research for National Security Applications 331
- 10.3 A KM Technology Roadmap 332
- 10.4 Key KM Technologies 335
- 10.5 Summary 340
- Endnotes 340
- About the Author 343
- Index 345
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