http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Competitive intelligence and decision problems
The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region. The authors of this book, members of an expert group supported by the CNRS in France, bring all of their talents together to create a comprehensive book that does just this and more.
Cover; Competitive Intelligence and Decision Problems; Title Page; Copyright Page; Table of Contents; PART 1. MODELS AND TOOLS; Chapter 1. Model Use: From a Decision-Making Problem to a Set of Research Problems; 1.1. Introduction: why model?; 1.2. General presentation of the Watcher Information Search Problem model; 1.3. Dimensions and aspects of the model; 1.4. Description of model elements; 1.4.1. Elements describing the decision problem and its context; 1.4.2. Chosen solutions and the final decision; 1.4.3. Supporting elements of the information problem; 1.4.4. Demand, stakes, and context.
1.4.5. Information indicators1.4.6. Elements of research problems; 1.4.7. Analysis and presentation of results; 1.4.8. Common parameters for all model elements; 1.4.9. Knowledge building through annotation; 1.5. Conclusion: toward flexibility in the model; 1.6. Bibliography; Chapter 2. Analytical Tools for Competitive Intelligence: from Data Collection to Data Processing; 2.1. Introduction; 2.2. Overview of the multidimensional analysis model; 2.2.1. Information process; 2.2.2. Process architecture; 2.3. Application of the multidimensional analysis model; 2.3.1. Preliminary data.
2.3.2. Data visualization2.4. Conclusion; 2.5. Bibliography; Chapter 3. The Synergy of Knowledge Management and Competitive Intelligence; 3.1. Introduction; 3.2. Theoretical context; 3.2.1. Definitions of knowledge; 3.2.2. Competitive intelligence; 3.2.3. KM in CI; 3.3. Knowledge acquisition strategy; 3.3.1. Action-based knowledge acquisition; 3.4. Formalization of knowledge; 3.4.1. KC structure for CI projects; 3.4.2. Architecture for KM in CI projects; 3.5. Conclusion; 3.6. Appendices; 3.6.1. Appendix A: knowledge acquisition based on actor activities.
3.6.2. Appendix B: capitalization scenario in decision making3.7. Bibliography; Chapter 4. Collaborative Information Seeking in the Competitive Intelligence Process; 4.1. Introduction; 4.2. The CI process; 4.3. From information retrieval to CIR; 4.3.1. Information retrieval; 4.3.2. Collaborative information behavior; 4.3.3. CIS and retrieval; 4.4. Facilitation and management of CIS; 4.4.1. The conceptual framework; 4.4.2. Communication model for CIS; 4.4.3. Application context; 4.5. Collective information seeking scenario; 4.6. Conclusion; 4.7. Bibliography.
Chapter 5. Study of Risk Factors in Competitive Intelligence Decision Making: A Cognitive Approach5.1. Decision making and decision problems; 5.1.1. Introduction; 5.1.2. Fundamental aspects of the decision problem; 5.1.3. Decision and cognitive capacity; 5.1.4. Decisions in the context of CI; 5.2. Risks and RFs in CI; 5.2.1. Introduction; 5.2.2. Actors and their interactions in CI; 5.2.3. Risks and RFs; 5.3. Cognitive capacity, a risk, and decision factor; 5.3.1. Introduction; 5.3.2. Cognitive capacity and its effects on decision making; 5.3.3. Cognitive model of RFs; 5.4. Conclusion.