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Collective Intelligence for Risk Reduction: Theory, Implementation and Practical Application to Security Incident Response

Author

Listed:
  • M. Sadok
  • S. Benabdallah
  • H. Lesca

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

Abstract

The Collective Intelligence (CI) process is an adaptive process that helps companies to reduce business risk and cope with unstable and uncertain external events. In this paper a CI-methodology is proposed. It is based on an extended causal links approach that provides a theoretical framework to the representation, the manipulation, and the refinement of links to reconcile different views, to construct an intelligible vision, and to support the decision making in strategic management. A particular application of CI-methodology for risk reduction of digital aggressions in enterprise networks is presented. We also show the potentiality of using Internet technologies which can provide an efficient support to CI process and tools to competitive intelligence.

Suggested Citation

  • M. Sadok & S. Benabdallah & H. Lesca, 2006. "Collective Intelligence for Risk Reduction: Theory, Implementation and Practical Application to Security Incident Response," Post-Print halshs-00135557, HAL.
    • Handle: RePEc:hal:journl:halshs-00135557
    as

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