Group dynamics analysis and the correction of coal miners' unsafe behaviors

Wang, Linlin; Cao, Qing; Han, Cheng-Gong; Song, Jie; Qu, Nannan

doi:10.1080/19338244.2020.1795610

Cited by 13 publications

(7 citation statements)

References 55 publications

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“…There are many people engaged in this industry in China, which is a special professional group 7 . With advances in science and technology as well as the improvement of coal mine safety management systems, the safety situation of coal mine production in China has steadily improved, yet coal mine accidents still occur 8 , 9 . The occurrence of mining disasters do not guarantee the safety of coal mine workers 10 .…”

Section: Introductionmentioning

confidence: 99%

The effect of job satisfaction regulating workload on miners’ unsafe state

Chen

Zhao

et al. 2022

Sci Rep

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Miners’ unsafe behavior is the main cause of accidents in coal mines, and unsafe state have an important influence on unsafe behavior among miners. To minimize accidents from the source of accident chain, we evaluated the impact of workload on miners’ unsafe state. It is important for coal enterprises to monitor miners’ unsafe state and to prevent unsafe accidents. Workload is divided into two dimensions: work time and work demand. Meanwhile, we introduced job satisfaction as a moderating variable. Through empirical research methods, first-line employees from two coal mines in China were enrolled in the questionnaire survey. Regression analysis was used to verify the impact of workload and its various dimensions, job satisfaction, and miners’ unsafe state. We found that workload, work time and work demand have significant positive effects on miners’ unsafe state. Job satisfaction plays a moderating effect in the relationship between workload and miners’ unsafe state. To some extent, a higher job satisfaction was associated with reduced workload, reduced occurrence of miners’ unsafe state and minimal incidences of unsafe accidents. On this basis, measures were proposed to improve miners’ unsafe state in terms of workload and job satisfaction. This study informs the establishment of effective intervention measures to monitor miners’ unsafe state and is also beneficial to the improvement of coal mine safety.

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Section: Introductionmentioning

confidence: 99%

The effect of job satisfaction regulating workload on miners’ unsafe state

Chen

Zhao

et al. 2022

Sci Rep

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“…In future research, scholars can use various methods to explore the unsafe behavior of the miners' group. For example, grounded theory can explore the factors affecting miners' unsafe behaviors, and group dynamics theory can analyze the interaction between miners' groups and workers' unsafe behaviors ( 110 , 111 ).…”

Section: Resultsmentioning

confidence: 99%

Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review

Yang

Wang

Zhu

et al. 2022

Front. Public Health

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Coal mine accidents are mainly caused by the unsafe behavior of workers. Studying workers' unsafe behaviors can help in regulating such behaviors and reducing the incidence of accidents. However, there is a dearth of systematic literature review in this area, which has hindered mine managers from fully understanding the unsafe behavior of workers. This study aims to address this research gap based on the literature retrieved from the Web of Science. First, a descriptive statistical analysis is conducted on the year, quantity, publications, and keywords of the literature. Second, the influencing factors, formation mechanism, and pre-control methods of coal miners' unsafe behavior are determined and discussed, and the research framework and future research directions of this study are proposed. The study results will help mine safety managers fully understand the influencing factors, formation mechanism, and pre-control methods of workers' unsafe behavior, and lay a theoretical foundation for the future research direction in this field.

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“…Content and structural validity are often used to test the overall validity of a survey scale. Most of the items in the survey scale of unsafe behaviors and risk factors for deep coal miners developed in this study were adapted from a mature scale developed by domestic and foreign scholars [ 2 , 8 , 10 , 14 , 42 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ]. The self-compiled items were also modified several times based on literature analysis and expert consultation, combined with the actual production situation of deep coal mines.…”

Section: Methodsmentioning

confidence: 99%

“…With the development of science and technology, the unsafe conditions causing accidents have gradually improved, but the unsafe behaviors of people that can cause accidents still exist. Relevant studies also point out that in a variety of coal mine accidents in China, the majority of coal mine accidents are caused by workers’ unsafe behavior [ 2 ]. As the largest coal producer and consumer globally, China has gradually entered the stage of deep coal mining in the central and eastern regions, as shallow coal resources have been exhausted in recent years.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

Yang

Wang

Zhu

et al. 2022

IJERPH

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The unsafe behavior of miners seriously affects the safety of deep mining. A comprehensive evaluation of miners’ unsafe behavior in deep coal mines can prevent coal mine accidents. This study combines HFACS-CM, SEM, and SD models to evaluate miners’ unsafe behaviors in deep coal mining. First, the HFACS-CM model identifies the risk factors affecting miners’ unsafe behavior in deep coal mines. Second, SEM was used to analyze the interaction between risk factors and miners’ unsafe behavior. Finally, the SD model was used to simulate the sensitivity of each risk factor to miners’ unsafe behavior to explore the best prevention and control strategies for unsafe behavior. The results showed that (1) environmental factors, organizational influence, unsafe supervision, and unsafe state of miners are the four main risk factors affecting the unsafe behavior of miners in deep coal mines. Among them, the unsafe state of miners is the most critical risk factor. (2) Environmental factors, organizational influence, unsafe supervision, and the unsafe state of miners have both direct and indirect impacts on unsafe behaviors, and their immediate effects are far more significant than their indirect influence. (3) Environmental factors, organizational influence, and unsafe supervision positively impact miners’ unsafe behavior through the mediating effect of miners’ unsafe states. (4) Mental state, physiological state, business abilities, resource management, and organizational climate were the top five risk factors affecting miners’ unsafe behaviors. Taking measures to improve the adverse environmental factors, strengthening the organization’s supervision and management, and improving the unsafe state of miners can effectively reduce the risk of miners’ unsafe behavior in deep coal mines. This study provides a new idea and method for preventing and controlling the unsafe behavior of miners in deep coal mines.

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Group dynamics analysis and the correction of coal miners' unsafe behaviors

Cited by 13 publications

References 55 publications

The effect of job satisfaction regulating workload on miners’ unsafe state

The effect of job satisfaction regulating workload on miners’ unsafe state

Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

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