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Weak Signals for Strategic Intelligence : Anticipation Tool for Managers.

The expression: ""We did not see it coming!"" has often been heard in recent years from decision makers at the highest levels of responsibility in the private and public sectors. Yet there were actually early (warning) signals, but they were often ignored or not used due to a lac...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lesca, Humbert
Otros Autores: Lesca, Nicolas
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Wiley, 2013.
Colección:ISTE.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Weak Signals for Strategic Intelligence :  |b Anticipation Tool for Managers. 
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505 0 |a Cover; Weak Signals for Strategic Intelligence; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Concepts, Issues and Hypotheses; 1.1. Introduction: governance and radar; 1.1.1. Steering the ship; 1.1.2. Corporate governance and strategic decision-making; 1.1.3. The ship's radar (radio detection and ranging); 1.1.4. The organization's "radar", a tool for its governability; 1.2. The organization's environment and its governance through a "storm"; 1.2.1. The ship, the ocean, and any danger to be faced. 
505 8 |a 1.2.2. The enterprise, its environment, uncertainty, hazards, and opportunities1.2.3. Scrutinizing and interpreting the environment; 1.3. Anticipation (act of looking forward); 1.3.1. Anticipating: definition and examples; 1.3.2. Do not confuse anticipation with forecasting; 1.3.3. Anticipation and scenario-based prospective: possible complementarity; 1.3.4. Anticipating odd events, discontinuities, anomalies, etc; 1.4. Anticipative information: two types; 1.4.1. Definition; 1.4.2. Difference between strategic information and day-to-day management information. 
505 8 |a 1.4.3. Two types of anticipative information1.5. Weak signals; 1.5.1. Definition of a weak signal; 1.5.2. An example of weak signal as the trigger to a warning; 1.5.3. Should we prefer a "strong" but backward-looking signal, or a "weak" but forward-looking signal?; 1.5.4. Conversion, transformation of a weak signal into an early warning signal; 1.5.5. Should we refer to a "signal" or a "sign"? Intentionality of the sender; 1.5.6. Weak signals ... or decoys, deceptions, and information asymmetry; 1.5.7. Characteristics of a weak signal: "stealthy information." 
505 8 |a 1.5.8. Sources emitting weak signals: examples1.6. Detecting weak signals; 1.6.1. Individual intelligence (in the Latin sense of the word): a definition; 1.6.2. Cognitive style of a person; 1.6.3. Individual cognitive biases; 1.6.4. Fear; 1.7. Interpreting, amplifying and exploiting weak signals to support strategic decision making; 1.7.1. Need for collective intelligence (CI) for interpreting weak signals; 1.7.2. CM: justification and definition of the process; 1.7.3. Definition of CI as the emergence of CCM; 1.7.4. From CCM to knowledge management. 
505 8 |a 1.8. Puzzle® method for the operationalization of CCM1.8.1. Issue: why the puzzle metaphor?; 1.8.2. Definition of the Puzzle® method; 1.8.3. Fundamental hypotheses of the Puzzle® method; 1.8.4. Work group and CI; 1.9. Global VASIC process for detecting, recognizing and utilizing weak signals; 1.9.1. Targeting of anticipative scanning and information sources; 1.9.2. Tracking and individual selection of weak signals; 1.9.3. Escalating information, collective/centralized selection and storage; 1.9.4. Dissemination and preparation of information for CCM sessions; 1.9.5. Animation. 
500 |a 1.9.6. Measurements: performance indicators of the VASIC process. 
520 |a The expression: ""We did not see it coming!"" has often been heard in recent years from decision makers at the highest levels of responsibility in the private and public sectors. Yet there were actually early (warning) signals, but they were often ignored or not used due to a lack of appropriate methodology. To avoid such blind spots, this book provides answers to the question ""how to anticipate"". The concept of a ""weak signal"" is at the heart of the proposed methods. After presenting examples of this concept, the authors provide original and validated answers to questions of feasibil. 
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