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When Is a Risk Assessment Deficient According to an Uncertainty‐Based Risk Perspective?

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  • Marie Røyksund
  • Roger Flage

Abstract

The Petroleum Safety Authority Norway (PSA‐N) has recently adopted a new definition of risk: “the consequences of an activity with the associated uncertainty.” The PSA‐N has also been using “deficient risk assessment” for some time as a basis for assigning nonconformities in audit reports. This creates an opportunity to study the link between risk perspective and risk assessment quality in a regulatory context, and, in the present article, we take a hard look at the term “deficient risk assessment” both normatively and empirically. First, we perform a conceptual analysis of how a risk assessment can be deficient in light of a particular risk perspective consistent with the new PSA‐N risk definition. Then, we examine the usages of the term “deficient” in relation to risk assessments in PSA‐N audit reports and classify these into a set of categories obtained from the conceptual analysis. At an overall level, we were able to identify on what aspects of the risk assessment the PSA‐N is focusing and where deficiencies are being identified in regulatory practice. A key observation is that there is a diversity in how the agency officials approach the risk assessments in audits. Hence, we argue that improving the conceptual clarity of what the authorities characterize as “deficient” in relation to the uncertainty‐based risk perspective may contribute to the development of supervisory practices and, eventually, potentially strengthen the learning outcome of the audit reports.

Suggested Citation

  • Marie Røyksund & Roger Flage, 2019. "When Is a Risk Assessment Deficient According to an Uncertainty‐Based Risk Perspective?," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 761-776, April.
  • Handle: RePEc:wly:riskan:v:39:y:2019:i:4:p:761-776
    DOI: 10.1111/risa.13195
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    References listed on IDEAS

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    1. Jan-Erik Vinnem, 2014. "Offshore Risk Assessment vol 2," Springer Series in Reliability Engineering, Springer, edition 3, number 978-1-4471-5213-2, September.
    2. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    3. Rae, Andrew & Alexander, Rob & McDermid, John, 2014. "Fixing the cracks in the crystal ball: A maturity model for quantitative risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 67-81.
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