A hybrid approach based on the HFACS-FBN for identifying and analysing human factors for fire and explosion accidents in the laboratory

Ma, Laihao; Ma, Xiaoxue; Xing, Pengfei; Yu, Fanyong

doi:10.1016/j.jlp.2021.104675

Cited by 23 publications

(16 citation statements)

References 26 publications

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“…RS and ES are recognized as stable characteristics of individuals throughout time and situations as two independent dimensions rather than opposite ends of same spectrum distinguishing people from each other making decision-making a unique aspect of people [26]. Mathematically, it was shown that unsafe acts of human-making wrong decisions contributed more to errors and accidents [56] [57]. ES was found to be used 95% of the time instead of the optimal approach which is to utilise both styles of thinking "at appropriate times" [58] (p. 228).…”

Section: Discussionmentioning

confidence: 99%

The Impact of Medical Profession Type, Gender, and Years of Experience on Thinking Styles: What Are the Implications for Patient Safety?

Bataweel¹

2022

JBBS

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Background: Healthcare providers were faced daily with many decision-making that impacted patients' safety. According to dual process theory, there were two types of thinking: Experiential style (ES) and Rational Style (RS). Both thinking styles had an impact on individuals' decisions making. Therefore, the aim of this study was to find out nurses' and physicians' styles of thinking and how this impacted patients' safety. Design: A cross-sectional study. Methods: Nurses and physicians sample of adults (n = 308), 190 (61.7%) of the sample were nurses and 118 (38.3%) of the sample were physicians. Participants completed a self-report online survey, which included demographic information followed by questionnaires to measure thinking style and a cognitive puzzle to see if the medical error was associated with certain styles of thinking. Results: The main findings were that nurses (M = 2.41, SD = 0.37) had significantly higher scores compared to physicians (M = 2.29, SD = 0.39) in their ES, t(305) = 2.73, p = 0.007; with medium effect size, d = 0.37692. Conclusion: Nurses differed from physicians in ES where nurses had a significantly higher score than physicians which could be positive for patients' safety as higher ES would report errors compared to lower ES.

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Section: Discussionmentioning

confidence: 99%

The Impact of Medical Profession Type, Gender, and Years of Experience on Thinking Styles: What Are the Implications for Patient Safety?

Bataweel¹

2022

JBBS

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“…In the study of , the application of the proposed model on an actual accident scenario in a natural gas pipeline was presented, and the results showed the ability of the model to provide dynamic modeling of accident scenarios in process systems (42). The approach of Lihao et al ( 2022) also used human factor analysis for fire and explosion incidents in the laboratory (55). The Reason Swiss cheese model also examines the causes of accidents in terms of human and organizational behavior like the HFACS model.…”

Section: Discussionmentioning

confidence: 99%

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS Modelling

Khoshakhlagh

Laal

Zarei³

et al. 2022

Preprint

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This study presents a holistic model based on Fuzzy Bayesian Network-Human Factor Analysis and System Classification (FBN-HFACS) to analyze contributing factors in the pandemic, Covid 19, risk management under uncertainty. The model contains three main phases include employing a) HFACS to systematically identify influencing factors based on validation using content validity indicators, b) Fuzzy Set Theory to obtain the prior probability distribution of contributing factors in pandemic risk and address the epistemic uncertainty and subjectivity, and finally, c) Bayesian network to develop causality model of the risk, probabilistic inferences and handle parameter and model uncertainties. The Ratio of Variation (RoV), as BN-driven importance measures, is utilized to conduct sensitivity analysis and explore the most critical factors that yield effective safety countermeasures. The model is tested to investigate four large manufacturing industries in South Khorasan (Iran). It provided a deep understanding of influencing human and organizational factors and captured dependencies among those factors, while quantitative finding paves a way to efficiently make risk-based decisions to deal with the pandemic risks under uncertainty.

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“…This study uses the HFACS model [27], which Shapell and Wiegmann developed to study HFs in accidents based on the Swiss cheese model by analyzing a large amount of aviation accident data. Due to its effective evaluation framework, content integrity, and practicability, the model has been applied in different fields, such as coal mines, maritime transport, and laboratory explosions [28][29][30]. Considering that insider threats are distinct from general safety incidents, this paper proposes an IHFACS framework for insider threat assessment items, adapted from the frameworks in the "Related Studies" section.…”

Section: Prevention Methodsmentioning

confidence: 99%

“…It is well known that HFACS is a widespread and popular framework for human error analysis [28]. According to the HFACS model, "primary causes cause accidents, and potential causes cause primary causes," where the primary causes are analyzed at four levels: "unsafe human behavior, potential factors refer to the preconditions of unsafe behavior, unsafe supervision, and organizational influence" [31].…”

Section: Ihfacsmentioning

confidence: 99%

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Risk Assessment of Insider Threats Based on IHFACS-BN

Zeng¹,

Dian²,

Wei³

2022

Sustainability

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Insider threats, as one of the pressing challenges that threaten an organization’s information assets, usually result in considerable losses to the business. It is necessary to explore the key human factors that enterprise information security management should focus on preventing to reduce the probability of insider threats effectively. This paper first puts forward the improved Human Factors Analysis and Classification System (IHFACS) based on actual enterprise management. Then, the enterprise internal threat risk assessment model is constructed using the Bayesian network, expert evaluation, and fuzzy set theory. Forty-three classic insider threat cases from China, the United States, and Israel during 2009–2021 are selected as samples. Then, reasoning and sensitivity analysis recognizes the top 10 most critical human factors of the accident and the most likely causal chain of unsafe acts. The result shows that the most unsafe behavior was not assessing employees’ familiarity with the company’s internal security policies. In addition, improving the organizational impact of information security can effectively reduce internal threats and promote the sustainable development of enterprises.

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A hybrid approach based on the HFACS-FBN for identifying and analysing human factors for fire and explosion accidents in the laboratory

Cited by 23 publications

References 26 publications

The Impact of Medical Profession Type, Gender, and Years of Experience on Thinking Styles: What Are the Implications for Patient Safety?

The Impact of Medical Profession Type, Gender, and Years of Experience on Thinking Styles: What Are the Implications for Patient Safety?

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS Modelling

Risk Assessment of Insider Threats Based on IHFACS-BN

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