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Knowledge Management and Risk Management Some examples of crossed interactions

Knowledge Management and Risk Management Some examples of crossed interactions. KM for Technological Risks. Identify risks linked to introduction of technology « Indexation » of available knowledge for each type of risk Find research issues to improve knowledge on technological risk.

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Knowledge Management and Risk Management Some examples of crossed interactions

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  1. Knowledge Management and Risk ManagementSome examples of crossed interactions

  2. KM for Technological Risks • Identify risks linked to introduction of technology • « Indexation » of available knowledge for each type of risk • Find research issues to improve knowledge on technological risk

  3. Technological risk Technological risk Indirect technological risk Direct technological risk Deliberate indirect technological risk Non deliberate indirect technological risk E.g. : Perturbations, in a social system, due to a new technology (temporary unemployment, collapse of activity sectors …) E.g. : diversion of a technology from its common use (terrorism , malicious intent )

  4. Direct technological risk Direct technological risk Cognitive distortion, associated to a technology, leading to a risky behaviour Material risk Symbolic risk Not yet considered in classical risk assessment Minor symbolic risk Major symbolic risk E.g. : Incident/accident caused by a miscomprehension of a technology (software, safety device …) E.g. : Alteration of the human being concept due , to genetic engineering.

  5. Material technological risk Material technological risk Instant risk Differed risk Individual cumulative differed risk Global cumulative differed risk Minor risk Major risk Ex : Exposures in the low doses (radiations, asbestos, dusts,…) Ex : Global warming, fertility decreasing with pseudo-hormones … Ex : Tchernobyl, Bhopal, Toulouse 2001… Ex : any « usual » industrial accident

  6. KM for disasters and accidents intervention • Structure knowledge on a disaster or accident to facilitate intervention • Collect information and organise experience feed-back (lessons learned) • Teach the intervention methodologies in the concerned organisations.

  7. Influence Parameters in the environment (outside the phenomenon itself) that may influence (positively or not) the phenomenon (constraints, perturbations …) Source Target Location where we observe the activation of a hazard Location where we observe the action of the hazard • Consequences due to the global phenomenon: • positive/negative • happy/unhappy • wanted/unwanted • … • Triggering event coming from the environment: • positive / negative • causal / not causal • random/ not random ... • Activation of one or several hazard (source of the hazard) • Effect(s) of the reception of the flow (target of the hazard) Flow • Flow : Connecting the source and the target • Emission • Propagation • Reception How to structure knowledge for hazards (hazard model)

  8. Influence Weather reports Geographical parameters Time Source Target Mobile reservoir of liquid or gaseous products Environment POPULATION : Exposition locations characteristics HYDROLOGIC SYSTEM: Types Characteristics • Leak • Toxic cloud Break of confinement Toxic product Effects on human beings Characteritics of the flow Parameters of the product Parameters of the leak Parameters of the reservoir Toxicology Example : collecting data on a “toxic cloud diffusion”

  9. Influence Source Target Mobile reservoir of liquid or gaseous products Environment • Leak • Toxic cloud Break of confinement Toxic product • Screens • Covering • Confinement • Recondensation • Dispersal • Neutralization • Evacuation • Confining • Sealing • Closure Example : Types on intervention for a “toxic cloud diffusion”

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