Accepted author manuscript, 186 KB, PDF document
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Modeling social risk amplification during recall crises
AU - Liu, Yun
AU - Busby, Jeremy Simon
AU - Onggo, Bhakti Satyabuhdi Stephan
PY - 2017/4/23
Y1 - 2017/4/23
N2 - Public response to risk is socially shaped in a way that often severely over- or under-estimates expert risk assessments. One of the main theoretical tools to examine public risk responses of this kind is the social amplification of risk framework. An important finding is that social amplification is strongly influenced by the conduct of those managing a risk. This study models social risk amplification as a collective response to risks that are significant at a societal level but which materialize in a distributed way across a population. It uses the context of product contamination risks and product recalls to show how organizational decision making and the multiple roles of the media can be represented by the model. It shows how a model can be partially calibrated with a consumer survey, and shows which are the most important aspects of the model in shaping social risk amplification.
AB - Public response to risk is socially shaped in a way that often severely over- or under-estimates expert risk assessments. One of the main theoretical tools to examine public risk responses of this kind is the social amplification of risk framework. An important finding is that social amplification is strongly influenced by the conduct of those managing a risk. This study models social risk amplification as a collective response to risks that are significant at a societal level but which materialize in a distributed way across a population. It uses the context of product contamination risks and product recalls to show how organizational decision making and the multiple roles of the media can be represented by the model. It shows how a model can be partially calibrated with a consumer survey, and shows which are the most important aspects of the model in shaping social risk amplification.
KW - social risk amplification
KW - product recall
KW - recreancy
KW - media
M3 - Conference contribution/Paper
BT - ADS '17 Proceedings of the Agent-Directed Simulation Symposium
PB - Society for Computer Simulation International
CY - San Diego
ER -