About: ‘Riskscapes’ and risk management – Review and synthesis of an actor-network theory approach

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	‘Riskscapes’ and risk management – Review and synthesis of an actor-network theory approach
Creator	Neisser, Florian
Source	PMC
abstract	In a perspective derived from actor-network theory (ANT), ‘risk’ can be considered as a specific assemblage of heterogeneous entities as well as a proliferation of hybrids. The concept and ideas of ANT offer a meaningful approach to addressing the hybridity and heterogeneity of complex assemblages of risk. Furthermore, the theory provides a theoretical vocabulary to analyse settings of risk and disasters. Especially for ex post analysis of disasters, ANT is able to identify errors in process chains and management practice. In this regard, it deals with questions of stability/instability in management and organisations within the broader context of risk governance. The article discusses the following questions from an ANT perspective: What is ‘risk’ and how can it be managed? What are the general implications and benefits of an ANT approach to disaster risk management? In what ways does an ANT approach challenge some of the conventional wisdoms in the field of disaster risk management? The article shows the potential of ANT as an analytical tool in disaster risk management and as a tool for planning, design and decision-making.
has issue date	2014-06-17(xsd:dateTime)
bibo:doi	10.1057/rm.2014.5
has license	no-cc
sha1sum (hex)	db1b9ff1d916de5a9f718b9a56e4935a59cd9fa6
schema:url	https://doi.org/10.1057/rm.2014.5
resource representing a document's title	‘Riskscapes’ and risk management – Review and synthesis of an actor-network theory approach
has PubMed Central identifier	PMC7149206
resource representing a document's body	covid:db1b9ff1d916de5a9f718b9a56e4935a59cd9fa6#body_text
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