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Crisis management and distrust: Study of an industrial accident in France

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dc.contributor.author Negre, Elsa
dc.date.accessioned 2020-12-24T19:27:05Z
dc.date.available 2020-12-24T19:27:05Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70887
dc.description.abstract Most crises, whether ecological, humanitarian, economic or even social, are preceded by various warning signals which make it possible to trigger alerts. These alerts make it possible to prevent or limit human and material damage if they are delivered on time and if they allow stakeholders (decision-makers, populations, etc.) to prepare adequately for the coming crisis. Today, there are many systems that can pick up the warning signals of crises to limit their consequences. Warning systems are one of them, they have proven their effectiveness, but as with any system involving populations, a part of unpredictable remains. In this article, we are interested in industrial accidents and in particular the fire at the Lubrizol factory in Rouen (France), classified SEVESO, in September 2019. Following interviews with the population of the Rouen’s agglomeration, we set an example of distrust of public authorities’ decisions and give some leads on how an information system could reconcile populations and decision-makers.
dc.format.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Disaster Information, Resilience, for Emergency and Crisis Technologies
dc.subject crisis management
dc.subject decision support systems
dc.subject distrust
dc.subject industrial accident
dc.subject information systems
dc.title Crisis management and distrust: Study of an industrial accident in France
dc.identifier.doi 10.24251/HICSS.2021.274
prism.startingpage 2235
Appears in Collections: Disaster Information, Resilience, for Emergency and Crisis Technologies


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