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dc.contributor.authorZhu, Tiantian
dc.contributor.authorHaugen, Stein
dc.contributor.authorLiu, Yiliu
dc.date.accessioned2022-03-18T08:21:05Z
dc.date.available2022-03-18T08:21:05Z
dc.date.created2021-11-30T10:34:03Z
dc.date.issued2021
dc.identifier.citationJournal of Loss Prevention in the Process Industries. 2021, 72 .en_US
dc.identifier.issn0950-4230
dc.identifier.urihttps://hdl.handle.net/11250/2986031
dc.description.abstractInappropriate decisions are often regarded as causes of major accidents in the process industries. To improve the quality of decisions, it is important to make the right information available at the right time. The objective of this work is to investigate what types of risk information is needed for risk-related decisions in various decision-making processes. A framework is proposed to facilitate future research for easing information deficiency. In this paper, risk information is examined through common decision-making processes, and is identified serving to 1) detect and characterize risk-related decision problems, 2) indicate the severity and urgency of decisions, 3) state requirements and constraints of workable solutions, 4) represent attributes for comparing and evaluating solutions, and 5) act as rules to maintain safety or control risk. These usages of risk information in different decision problems imply the large diversity in information needs for decision-making. An adaptive information support is thus suggested to provide targeted risk information to specific decision-makers for effective and efficient decision-making in accident prevention in the process industries.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleRisk information in decision-making: definitions, requirements and various functionsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber13en_US
dc.source.volume72en_US
dc.source.journalJournal of Loss Prevention in the Process Industriesen_US
dc.identifier.doi10.1016/j.jlp.2021.104572
dc.identifier.cristin1961471
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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