The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems

Haas, Emily J.; Yorio, Patrick L.

doi:10.1016/j.jlp.2019.03.005

Cited by 29 publications

(21 citation statements)

References 74 publications

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“…Moreover, many types of researches have also focused on the importance of implementing ergonomic parameters in different industries to prevent human errors [52]. Also, in a study conducted by Hass and Yorio in an industry, the effect of hazard understanding on incidents was significant with a cognitive factor of locus of control [53]. Furthermore, Sneddon et al assigned a relationship between lower work situation awareness and increased commitment to unsafe behavior.…”

Section: Discussionmentioning

confidence: 99%

Interactions among Cognitive Factors Affecting Unsafe Behavior: Integrative Fuzzy DEMATEL ISM Approach

Shakerian

Choobineh

Jahangiri

et al. 2020

Mathematical Problems in Engineering

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The prevention of industrial accidents is not completely practical by implementing safety programs unless focusing on protecting vulnerable workers. The unsafe behavior cognitive factors (UBCFs) are essential determinants contributing to human failure. This study aimed at eliciting the most important UBCFs, along with investigating hierarchical cause-effect interactions among them. A qualitative approach using metasynthesis was utilized to extract all essential UBCFs among industrial workplaces. Afterward, the relationships between UBCFs were recognized using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method and rated by an expert panel. Also, a hierarchical model was developed based on the final matrix of DEMATEL by employing the interpretive structural modeling (ISM) method. Ten criteria were extracted as UBCFs through the metasynthesis method. The threshold value was set as 0.175 in DEMATEL following experts’ ideas. Inadequacy of persons’ resilience and habitual rule ignorance were recognized as the most important predictive UBCFs. The developed model was tested through a case study in a petrochemical company. The results of the study can be used to help industrial managers and HSE practitioners to consider workers’ capabilities either cognitively or physically when designing the required tasks to reduce unsafe behaviors. Also, the findings of the study are applicable for other researchers to prioritize the most important factors affecting unsafe behavior in different workplaces.

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Section: Discussionmentioning

confidence: 99%

Interactions among Cognitive Factors Affecting Unsafe Behavior: Integrative Fuzzy DEMATEL ISM Approach

Shakerian

Choobineh

Jahangiri

et al. 2020

Mathematical Problems in Engineering

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“…The problems of health consequences of residents regarded disease risk assessment problems [117], radiation risk [118], and odor and dust influence on community [55]. Moreover, there was one reported work devoted to workplace accidents [119], and one work for system management [120].…”

Section: Thematic Analysis Of the Conducted Reviewmentioning

confidence: 99%

Risk Assessment Methods in Mining Industry—A Systematic Review

Tubis

Werbińska-Wojciechowska

Wroblewski

2020

Applied Sciences

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Recently, there has been a growing interest in the mining industry in issues related to risk assessment and management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies have indicated that risk in mining should be analyzed not only in the human factor aspect, but also in strategic (environmental impact) and operational ones. However, there is a lack of research on systematic literature reviews and surveys of studies that would focus on these identified risk aspects simultaneously. Therefore, the purpose of this article is to develop a literature review in the area of analysis, assessment and risk management in the mining sector, published in the last decade and based on the concept of a human engineering system. Following this, a systematic search was performed with the use of Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria were: (a) not older than 10 years, (b) article written in English, (c) publication type (scientific article, book, book chapter), (d) published in chosen electronic collections (Springer, Taylor and Francis, Elsevier, Science Direct, JSTOR). This resulted in the selection of the 94 most relevant papers in the area. First, the general bibliometric analysis was conducted. Later, the selected papers in this review were categorized into four groups and the critical review was developed. One of the main advantages of this study is that the results are obtained from different scientific sources/databases thanks to using a multi-search tool. Moreover, the authors identified the main research gaps in the area of the implementation of risk management in the mining industry.

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“…Other papers Hoebbel et al 2019] have examined differences in workers' experience levels and impact on risk tolerance, compliance, and overall H&S performance in the industry. Finally, analyses have examined the role of demographic variables in workers' risk tolerance, sense of control, and experiencing near miss incidents [Haas and Yorio 2019]. Results found that education was the only significant variable impacting near miss experiences.…”

Section: Resultsmentioning

confidence: 99%

“…Obviously, this cross-checking was not possible with all participating mines and it can be assumed that underreporting still existed in some areas. However, an analysis of the near miss data in the middle of data collection showed that, although about half of the sample indicated experiencing no incidents, the model was not subject to a zero-inflated model with the mean of near misses being .83 [Haas and Yorio 2019]. Rather, zero-inflated models should be considered when the mean is <.07 or <.05 [Lord et al 2005].…”

Section: Worker Hands Performancementioning

confidence: 99%

Assessing the impact of safety climate constructs on worker performance in the mining industry.

Haas¹,

Hoebbel²,

Yorio³

2020

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This document is in the public domain and may be freely copied or reprinted. Disclaimer Mention of any company or product does not constitute endorsement by the National Institute for Occupational Safety and Health (NIOSH). In addition, citations to websites external to NIOSH do not constitute NIOSH endorsement of the sponsoring organizations or their programs or products. Furthermore, NIOSH is not responsible for the content of these websites. All web addresses referenced in this document were accessible as of the publication date.

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The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems

Cited by 29 publications

References 74 publications

Interactions among Cognitive Factors Affecting Unsafe Behavior: Integrative Fuzzy DEMATEL ISM Approach

Interactions among Cognitive Factors Affecting Unsafe Behavior: Integrative Fuzzy DEMATEL ISM Approach

Risk Assessment Methods in Mining Industry—A Systematic Review

Assessing the impact of safety climate constructs on worker performance in the mining industry.

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