2017
DOI: 10.1016/j.ress.2016.10.035
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Moving beyond probabilities – Strength of knowledge characterisations applied to security

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Cited by 32 publications
(23 citation statements)
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“…The findings reveal that hospitals replace risk ratings by risk scores, and hospitals recommend estimating the risk score by simply considering likelihood and consequence scores. However, this simplification has recently been criticized and it has been recommended that additional factors are considered (Askeland, Flage, & Aven, ; Aven, ; Khorsandi & Aven, ). These factors include the determination of the risk sources, uncertainty about the events and their consequences, and the strength of knowledge of the assessors (Aven, , ; Aven & Krohn, ).…”
Section: Discussionmentioning
confidence: 99%
“…The findings reveal that hospitals replace risk ratings by risk scores, and hospitals recommend estimating the risk score by simply considering likelihood and consequence scores. However, this simplification has recently been criticized and it has been recommended that additional factors are considered (Askeland, Flage, & Aven, ; Aven, ; Khorsandi & Aven, ). These factors include the determination of the risk sources, uncertainty about the events and their consequences, and the strength of knowledge of the assessors (Aven, , ; Aven & Krohn, ).…”
Section: Discussionmentioning
confidence: 99%
“…Typically, a stronger background knowledge is correlated with lower degrees of uncertainty. In performing this assessment, the uncertainty description becomes a function of their strength of background knowledge (Askeland, Flage, & Aven, ). Askeland et al.…”
Section: Conceptual Limitationsmentioning
confidence: 99%
“…In performing this assessment, the uncertainty description becomes a function of their strength of background knowledge (Askeland, Flage, & Aven, 2017). Askeland et al (2017) present a framework to evaluate strength of knowledge, categorizing it as "weak," "moderate," or "strong" based on five criteria: (1) expert's understanding of the phenomena, (2) reliability and availability of data, (3) agreement among experts, (4) identification, documentation, and soundness of assumptions, and (5) evaluation of knowledge gaps and changes in knowledge over time. Aven, Baraldi, Roger, and Zio (2013) present an alternative method for assessing strength of knowledge through assumption deviation risk scores.…”
Section: Definitions Of Riskmentioning
confidence: 99%
“…The assigned probabilities are then supplemented by qualitative assessments of the strength of knowledge supporting these and a classification into five categories ranging from strong to weak. For example, the knowledge is considered strong if all of the following criteria are met 42 3. There is broad agreement among experts.…”
Section: Uncertainty Assessment Q and Related Background Knowledge Kmentioning
confidence: 99%
“…42 develop and apply a more detailed system tailor-made for the security setting, involving, for example, assessment of aspects relating to insight into actors (RS) and their capacity and intention, as well as their knowledge and behaviour. For example, a burglary of an art museum case is presented in Askeland et al, 42 where the threat of burglary is measured by the probability of an attempted theft of (any) artwork and the conditional probability of theft of specific (high-value) artworks given an attempted theft. Consequences are measured in terms of monetary value, but an indication is given of how also qualitative characterisations of the merits of the artwork could be included.…”
Section: A General Framework Covering Both Safety and Securitymentioning
confidence: 99%