Data-theoretic approach for socio-technical risk analysis: Text mining licensee event reports of U.S. nuclear power plants

Pence, Justin; Farshadmanesh, Pegah; Kim, JinMo; Blake, Catherine; Mohaghegh, Zahra

doi:10.1016/j.ssci.2019.104574

Cited by 18 publications

(10 citation statements)

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“…The readers are referred to Mohaghegh (2007) and Mohaghegh and Mosleh (2009b) for a multi-dimensional measurement perspective for organizational factors in safety/risk analysis (Mohaghegh, 2007;Mohaghegh & Mosleh, 2009b). More recent developments of measurement techniques for organizational factors as well as a review of existing studies (from 2008 to 2018) that develop and apply machine learning-related techniques for measuring organizational factors in safety/risk analysis is available in (Justin Pence, Farshadmanesh, Kim, Blake, & Mohaghegh, 2020).…”

Section: Groupsmentioning

confidence: 99%

“…Supplementary data (J. Pence, Farshadmanesh, Kim, Blake, & Mohaghegh, 2019) for this paper provides a complete list of existing studies under Category A.2.…”

Section: (A2) Depicting Deviation From Normative Performancementioning

confidence: 99%

“…This section covers the ongoing debate on the required modeling techniques. A discussion on measurement techniques is available in (Justin Pence et al, 2020).…”

Section: Vroom's Expectancy Theorymentioning

confidence: 99%

“…Sakurahara et al, 2014; T Sakurahara et al, 2015) The current applications of I-PRA not only have generated the possibility of incorporating the dynamic nature of underlying physical phenomena but also their unified computational platform has facilitated the treatment of dependent failures and CCFs (TatsuyaSakurahara, Schumock, Mohaghegh, Reihani, & Kee, 2018)). Another value of I-PRA is the explicit incorporation of dynamic interactions between physical failure mechanisms and human performance into PRA(Bui, Pence, Mohaghegh, Reihani, & Kee, 2017; Tatsuya Sakurahara, Reihani, Kee, & Mohaghegh, 2019) Pence et al (2020). demonstrated I-PRA for the incorporation of organizational factors (JustinPence et al, 2020).…”

mentioning

confidence: 99%

“…Another value of I-PRA is the explicit incorporation of dynamic interactions between physical failure mechanisms and human performance into PRA(Bui, Pence, Mohaghegh, Reihani, & Kee, 2017; Tatsuya Sakurahara, Reihani, Kee, & Mohaghegh, 2019) Pence et al (2020). demonstrated I-PRA for the incorporation of organizational factors (JustinPence et al, 2020).…”

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confidence: 99%

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A Discourse on the Incorporation of Organizational Factors into Probabilistic Risk Assessment: Key Questions and Categorical Review

Pence

Mohaghegh

2020

Risk Analysis

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This paper presents a discourse on the incorporation of organizational factors into Probabilistic Risk Assessment (PRA)/Probabilistic Safety Assessment (PSA), a topic of debate since the 1980s that has spurred discussions among industry, regulatory agencies, and the research community. The main contributions of this paper include (1) identifying the four key open questions associated with this topic; (2) framing ongoing debates by considering differing perspectives around each question; (3) offering a categorical review of existing studies on this topic to justify the selection of each question and to analyze the challenges related to each perspective; and (4) highlighting the directions of research required to reach a final resolution for each question. The four key questions are: (I) how significant is the contribution of organizational factors to accidents and incidents? (II) how critical, with respect to improving risk assessment, is the explicit incorporation of organizational factors into PRA? (III) what theoretical bases are needed for explicit This article is protected by copyright. All rights reserved. incorporation of organizational factors into PRA? and (IV) what methodological bases are needed for the explicit incorporation of organizational factors into PRA? Questions I and II mainly analyze PRA literature from the nuclear domain. For Questions III and IV, a broader review and categorization is conducted of those existing cross-disciplinary studies which have evaluated the effects of organizational factors on safety (not solely PRA-based) to shed more light on future research needs.

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Section: Groupsmentioning

confidence: 99%

“…Supplementary data (J. Pence, Farshadmanesh, Kim, Blake, & Mohaghegh, 2019) for this paper provides a complete list of existing studies under Category A.2.…”

Section: (A2) Depicting Deviation From Normative Performancementioning

confidence: 99%

“…This section covers the ongoing debate on the required modeling techniques. A discussion on measurement techniques is available in (Justin Pence et al, 2020).…”

Section: Vroom's Expectancy Theorymentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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