Co-workers' guanxi and construction workers' safety behavior: The mediating role of group identification

Chen, Huihua; Gong, Wenjing; Li, Hujun; Shi, Shiying

doi:10.3389/fpubh.2022.964514

Cited by 6 publications

(3 citation statements)

References 64 publications

(59 reference statements)

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“…As the core of the classic two-agent management model, the safety manager plays a leading role in safety management (77, 78). The workers' low safety awareness and high-frequency unsafe behaviors mainly derived from managers' negligence and the failure of the safety management system (9,79,80). Environment-type safety risks have relatively larger expected utility value, especially, the high-pressure phreatic water is the high-level safety risk.…”

Section: Discussion and Management Implicationmentioning

confidence: 99%

Safety risk assessment of subway shield construction under-crossing a river using CFA and FER

He,

Cui,

Cheng

et al. 2024

Front. Public Health

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Numerous subway projects are planned by China's city governments, and more subways can hardly avoid under-crossing rivers. While often being located in complex natural and social environments, subway shield construction under-crossing a river (SSCUR) is more susceptible to safety accidents, causing substantial casualties, and monetary losses. Therefore, there is an urgent need to investigate safety risks during SSCUR. The paper identified the safety risks during SSCUR by using a literature review and experts' evaluation, proposed a new safety risk assessment model by integrating confirmatory factor analysis (CFA) and fuzzy evidence reasoning (FER), and then selected a project to validate the feasibility of the proposed model. Research results show that (a) a safety risk list of SSCUR was identified, including 5 first-level safety risks and 38 second-level safety risks; (b) the proposed safety risk assessment model can be used to assess the safety risk of SSCUR; (c) safety inspection, safety organization and duty, quicksand layer, and high-pressure phreatic water were the high-level risks, and the onsite total safety risk was at the medium level; (d) management-type safety risks, environment-type safety risks, and personnel-type safety risks have higher expected utility values, and manager-type safety risks were expected have higher risk-utility values when compared to worker-type safety risks. The research can enrich the theoretical knowledge of SSCUR safety risk assessment and provide references to safety managers for conducting scientific and effective safety management on the construction site when a subway crosses under a river.

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Section: Discussion and Management Implicationmentioning

confidence: 99%

Safety risk assessment of subway shield construction under-crossing a river using CFA and FER

He,

Cui,

Cheng

et al. 2024

Front. Public Health

Self Cite

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“…Safety managers play a key role in safety management of the traditional two-agent management approach [70,71]. The managers' neglect and the ineffectiveness of the safety management system were the main causes of the workers' low safety awareness and frequent unsafe behaviors [64,72,73].…”

Section: Discussion and Management Implicationsmentioning

confidence: 99%

Safety Risk Evaluation of Metro Shield Construction When Undercrossing a Bridge

He,

Zhu,

Wang

et al. 2023

Buildings

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The government of China has planned numerous metro projects, and with more metros, undercrossing of bridges can hardly be avoided. Metro shield construction when undercrossing a bridge (MSCUB) frequently takes place in complicated natural and social contexts, which often makes the construction process more susceptible to safety accidents. Therefore, it is crucial to look into the safety risk during MSCUB. This paper identified the safety risk factors during MSCUB by using a literature review and expert group evaluation, proposed a novel safety risk assessment model by integrating confirmatory factor analysis (CFA) and fuzzy evidence reasoning (FER), and then selected a project case to test the validity of the suggested model. The study results show that (a) a safety risk factor list for MSCUB was identified, including four first-level safety risk factors and thirty-seven second-level safety risk factors; (b) the proposed safety risk assessment model can be used to measure the risk values of the overall safety risk of a worksite, the first-level safety risk factors, and the second-level safety risk factors during MSCUB; (c) environment-type safety risk factors and personnel-type safety risk factors have higher risk values during shield construction when undercrossing a bridge; (d) when compared with worker-type safety risk factors, manager-type safety risk factors are the higher risks. This study can enrich the theoretical knowledge of MSCUB safety risk assessment and provide references for safety managers for conducting scientific and effective safety management on a construction site when constructing metro shields undercrossing a bridge.

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“…Within the construction industry, workers often operate within interconnected groups formed through work dynamics, mentorship, and personal affiliations [17], forming intricate networks of interaction. Adjacent nodes within these networks (including co-workers, foremen, and managers) wield influence over workers' attitudes and behaviors, shaping their safety practices [27,28]. Prior research has scrutinized the spread of behavior through network diffusion models, delineating the process into stages of imitation, recovery, and forgetting, often employing SIR models to dissect the mechanisms and features of behavior dissemination [29,30].…”

Section: Koreamentioning

confidence: 99%

Research on the Propagation Model of Unsafe Behaviors among Construction Workers Based on a Two-Layer NAN-SIRS Network

Hou,

Zhao

2024

Buildings

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Unsafe behaviors among construction workers are a leading cause of safety accidents in the construction industry, and studying the mechanism of unsafe behavior propagation among construction workers is essential for reducing the occurrence of safety accidents. Safety attitude plays a pivotal role in predicting workers’ behavioral intentions. We propose a propagation model of unsafe behaviors based on a two-layer complex network, in which the upper layer depicts the change in construction workers’ safety attitudes, and the lower layer represents the propagation of unsafe behaviors. In this model, we consider the impact of individual heterogeneity and herd mentality on the transmission rate, establishing a partial mapping relationship based on behavioral feedback. After that, by building a probability transition tree, we establish the risk state transition equation in detail using the microscopic Markov chain approach (MMCA) and analyze the established equations to deduce the propagation threshold of unsafe behaviors analytically. The results show that enhancing the influence of individual heterogeneity and behavioral feedback increases the threshold for the spread of unsafe behaviors, thereby reducing its scale, while herd mentality amplifies the spread. Furthermore, the coexistence of safety education and behavioral feedback may lead to one of the mechanisms fails. This research enhances understanding of the propagation mechanism of unsafe behaviors and provides a foundation for managers to implement effective measures to suppress the propagation of unsafe behaviors among construction workers.

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Co-workers' guanxi and construction workers' safety behavior: The mediating role of group identification

Cited by 6 publications

References 64 publications

Safety risk assessment of subway shield construction under-crossing a river using CFA and FER

Safety risk assessment of subway shield construction under-crossing a river using CFA and FER

Safety Risk Evaluation of Metro Shield Construction When Undercrossing a Bridge

Research on the Propagation Model of Unsafe Behaviors among Construction Workers Based on a Two-Layer NAN-SIRS Network

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