Knowledge Management for the Intelligence EnterpriseIf you are responsible for the management of an intelligence enterprise operation and its timely and accurate delivery of reliable intelligence to key decision-makers, this book is must reading. It is the first easy-to-understand, system-level book that specifically applies knowledge management principles, practices and technologies to the intelligence domain. The book describes the essential principles of intelligence, from collection, processing and analysis, to dissemination for both national intelligence and business applications. |
Contents
1 | |
11 Knowledge in a Changing World | 4 |
12 Categories of Intelligence | 10 |
13 The Intelligence Disciplines and Applications | 12 |
131 National and Military Intelligence | 15 |
132 Business and Competitive Intelligence | 17 |
15 The State of the Art and the State of the Intelligence Tradecraft | 20 |
152 Business and Competitive Intelligence | 21 |
51 The Basis of Analysis and Synthesis | 160 |
52 The Reasoning Processes | 167 |
522 Inductive Reasoning | 168 |
523 Abductive Reasoning | 173 |
53 The Integrated Reasoning Process | 175 |
54 Analysis and Synthesis As a Modeling Process | 180 |
55 Intelligence Targets in Three Domains | 186 |
56 Summary | 190 |
153 KM | 22 |
16 The Organization of This Book | 23 |
Endnotes | 24 |
Selected Bibliography | 26 |
The Intelligence Enterprise | 29 |
22 Intelligence Processes and Products | 33 |
23 Intelligence Collection Sources and Methods | 35 |
231 HUMINT Collection | 37 |
232 Technical Intelligence Collection | 38 |
24 Collection and Process Planning | 40 |
25 KM in the Intelligence Process | 42 |
26 Intelligence Process Assessments and Reengineering | 44 |
261 Balancing Collection and Analysis | 45 |
263 Balancing AnalysisSynthesis Processes | 46 |
27 The Future of Intelligence | 48 |
Endnotes | 51 |
Knowledge Management Processes | 55 |
31 Knowledge and Its Management | 56 |
32 Tacit and Explicit Knowledge | 62 |
321 Knowledge As Object | 63 |
322 Knowledge As Process | 68 |
323 Knowledge Creation Model | 71 |
33 An Intelligence Use Case Spiral | 74 |
331 The Situation | 75 |
332 Socialization | 77 |
333 Externalization | 78 |
334 Combination | 79 |
337 Summary | 80 |
35 Intelligence As Capital | 85 |
36 Intelligence Business Strategy and Models | 93 |
37 Intelligence Enterprise Architecture and Applications | 96 |
371 Customer Relationship Management | 98 |
373 Business Intelligence | 100 |
38 Summary | 102 |
Endnotes | 104 |
The KnowledgeBased Intelligence Organization | 107 |
41 Virtues and Disciplines of the KnowledgeBased Organization | 109 |
411 Establishing Organizational Values and Virtues | 110 |
412 Mapping the Structures of Organizational Knowledge | 112 |
413 Identifying Communities of Organizational Practice | 115 |
414 Initiating KM Projects | 117 |
415 Communicating Tacit Knowledge by Storytelling | 118 |
42 Organizational Learning | 121 |
421 Defining and Measuring Learning | 122 |
422 Organizational Knowledge Maturity Measurement | 123 |
423 Learning Modes | 125 |
43 Organizational Collaboration | 129 |
431 Collaborative Culture | 131 |
432 Collaborative Environments | 133 |
433 Collaborative Intelligence Workflow | 137 |
44 Organizational Problem Solving | 142 |
441 Critical Structured Thinking | 143 |
442 Systems Thinking | 147 |
443 Naturalistic Decision Making | 150 |
The Best Practices of Intelligence | 151 |
46 Summary | 153 |
Principles of Intelligence Analysis and Synthesis | 159 |
Endnotes | 191 |
The Practice of Intelligence Analysis and Synthesis | 195 |
61 Intelligence Consumer Expectations | 196 |
62 AnalysisSynthesis in the Intelligence Workflow | 198 |
63 Applying Automation | 203 |
64 The Role of the Human Analyst | 205 |
65 Addressing Cognitive Shortcomings | 207 |
66 Marshaling Evidence and Structuring Argumentation | 209 |
661 Structuring Hypotheses | 210 |
662 Marshaling Evidence and Structuring Arguments | 211 |
663 Structured Inferential Argumentation | 213 |
664 Inferential Networks | 215 |
67 Evaluating Competing Hypotheses | 223 |
68 Countering Denial and Deception | 229 |
69 Summary | 235 |
Knowledge Internalization and Externalization | 241 |
72 Storage Query and Retrieval Services | 245 |
722 Information Retrieval | 247 |
73 Cognitive Analytic Tool Services | 249 |
74 Intelligence Production Dissemination and Portals | 256 |
75 HumanMachine Information Transactions and Interfaces | 264 |
752 AnalystAgent Interaction | 265 |
76 Summary | 267 |
Endnotes | 268 |
Explicit Knowledge Capture and Combination | 271 |
81 Explicit Capture Representation and Automated Reasoning | 272 |
82 Automated Combination | 275 |
821 Data Fusion | 277 |
822 Data Mining | 283 |
823 Integrated Data Fusion and Mining | 288 |
83 Intelligence Modeling and Simulation | 289 |
831 MS for IW | 292 |
832 Modeling Complex Situations and Human Behavior | 293 |
84 Summary | 294 |
The Intelligence Enterprise Architecture | 299 |
91 Intelligence Enterprise Operations | 300 |
92 Describing the Enterprise Architecture | 302 |
A Small CI Enterprise | 306 |
931 The Value Proposition | 308 |
932 The CI Business Process | 309 |
933 The CI Business Process Functional Flow | 312 |
934 The CI Unit Organizational Structure and Relationships | 315 |
935 A Typical Operational Scenario | 316 |
936 CI System Abstraction | 318 |
937 System and Technical Architecture Descriptions | 319 |
94 Summary | 322 |
Endnotes | 324 |
Knowledge Management Technologies | 327 |
102 KM Research for National Security Applications | 331 |
103 A KM Technology Roadmap | 332 |
104 Key KM Technologies | 335 |
1042 HumanComputer TacitExplicit Exchange Technologies | 337 |
1043 KnowledgeBased Organization Technologies | 339 |
105 Summary | 340 |
About the Author | 343 |
345 | |
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Common terms and phrases
abstract accessed on-line all-source alternative analysis-synthesis applications architecture assessment automated behavior business intelligence Chapter cognitive collaboration collaborative intelligence collection communities Competitive Intelligence competitor complex components computing create creation Data Fusion Data Mining databases deception decision defined described detection domain dynamic enable Enterprise Architecture evaluation evidence explicit knowledge Figure focus functions gence global human HUMINT hypotheses identify imagery IMINT implementation induction inference inferential integration intelligence analysis intelligence consumers intelligence cycle intelligence enterprise intelligence organizations intelligence products interaction internal KM technologies knowledge base Knowledge Management learning logic MASINT measures mental models methods military nation-state objects operations organizational patterns performance perspective physical portal problem query reasoning refinement relationships reports requires retrieval sensemaking sensors shared SIGINT situation sources strategic structure synthesis Table tacit knowledge templates threats tion understanding users Washington D.C. workflow
References to this book
Proceedings of the International Conference on i-Warfare and Security 2006 ... No preview available - 2006 |