Proposal of cognitive bias (CB)-incorporated SHEL model to prevent disasters or crashes based on analyses of organisational failures in risk and crisis management in the Fukushima Daiichi disaster

This study demonstrated that cognitive biases contributed to inappropriate interactions between liveware (L) and software (S), hardware (H), environment (E), or liveware (L), leading to the risk-taking decision and the organisational failures in risk and crisis management that caused the Fukushima Daiichi disaster. The validity of the model's inclusion of cognitive biases in other crashes or disasters was further confirmed by analysing 191 cases of crashes or disasters. As a lesson that we should learn from the Fukushima Daiichi disaster on how to prevent a future disaster, we proposed a cognitive bias (CB)-incorporated SHEL model for the prevention of crashes or disasters from the viewpoints of inadequate interactions between liveware and software, hardware, environment, or liveware resulting from cognitive biases.

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Publication Details

Journal
Ergonomics
Published
2025-03-05
DOI
https://doi.org/10.1080/00140139.2025.2473036
Citations
1
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
1.40
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article

Proposal of cognitive bias (CB)-incorporated SHEL model to prevent disasters or crashes based on analyses of organisational failures in risk and crisis management in the Fukushima Daiichi disaster

Toshihisa Doi, Waldemar Karwowski, Atsuo Murata
1 citations
Ergonomics
Risk and Safety Analysis
1.40
article

Proposal of cognitive bias (CB)-incorporated SHEL model to prevent disasters or crashes based on analyses of organisational failures in risk and crisis management in the Fukushima Daiichi disaster

Toshihisa Doi, Waldemar Karwowski, Atsuo Murata
article en
1 citations

Abstract

This study demonstrated that cognitive biases contributed to inappropriate interactions between liveware (L) and software (S), hardware (H), environment (E), or liveware (L), leading to the risk-taking decision and the organisational failures in risk and crisis management that caused the Fukushima Daiichi disaster. The validity of the model's inclusion of cognitive biases in other crashes or disasters was further confirmed by analysing 191 cases of crashes or disasters. As a lesson that we should learn from the Fukushima Daiichi disaster on how to prevent a future disaster, we proposed a cognitive bias (CB)-incorporated SHEL model for the prevention of crashes or disasters from the viewpoints of inadequate interactions between liveware and software, hardware, environment, or liveware resulting from cognitive biases.

ErgonomicsVol. 69(4)
University of Central Florida (US), University Of Information Technology (MM), Wyższa Szkoła Technologii Informatycznych w Warszawie (PL), Osaka Metropolitan University (JP)
Climate action
Openalex Percentile: Top 18%
Risk and Safety Analysis
1.40
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Proposal of cognitive bias (CB)-incorporated SHEL model to prevent disasters or crashes based on analyses of organisational failures in risk and crisis management in the Fukushima Daiichi disaster — Toshihisa Doi, Waldemar Karwowski, et al. · Ergonomics (2025) | TGRS Research Map | TGRS