Will Improved Safety Attitudes Necessarily Curb Unsafe Behavior? Hybrid Method Based on NCA and SEM

Yuan, Beifei; Xu, Shuitai; Niu, Muqing; Guo, Kai

doi:10.1155/2022/9271690

Cited by 3 publications

(2 citation statements)

References 43 publications

(47 reference statements)

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“…The hypotheses are in line with Teresa's findings in her research that a safety attitude in responding to and overcoming disturbances and changes is significantly associated with a good relationship and an understanding of risk [15]. Therefore, it is recommended for companies to be able to increase the safety attitude by creating an excellent institutional environment, which mainly includes institutional control, safety training, and safety atmosphere, paying attention to the important role of personal safety attitude in safety management, and actively using the institutional environment and other organizational resources to jointly promote the improvement of personal safety attitude and create a positive safety culture [25].…”

Section: Resultsmentioning

confidence: 99%

A Resilience Approach to Improving Safety Performance in Construction

Kurniawan¹,

Machfudiyanto²

2023

IJSSE

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The construction industry is recognized as having inherent risks with high levels of change and uncertainty. The complexity of this project poses a challenge to traditional safety management approaches. As an alternative, a resilience approach to traditional safety management is used, which is designed to deal with uncertainty in a high-risk work environment in the form of a resilience safety culture. This research will look at the relationship between resilience safety culture variables, and safety performance in a stateowned construction company in Indonesia using the partial least squares structural equation modeling approach. Resilience safety culture variables in this study include management commitment, reporting, learning, anticipation, flexibility, awareness, coworker's safety perception, supervisor's safety perception, safety attitudes, understanding of risk, safety resources, and safety procedures. The results of the PLS-SEM test show that there are 9 relationships between variables that have a significant positive influence. As a significant variable that has a direct effect on safety performance, awareness is the main determining factor for improving the company's safety performance. With the significant influence of safety awareness on safety performance, there is a need to increase safety awareness to ensure consistent improvement in safety performance. It is recommended for companies to be able to increase safety awareness, one of which is through safety awareness workshops as a way to improve safety performance. The provision of this workshop is an initiative to increase the ability to anticipate and manage risk proactively which can result in an increased level of awareness of hazards and provide a deeper understanding of safety at work sites so that appropriate preventive measures can be taken to reduce the possibility of accidents or unwanted incidents. These results are expected to be used as a guideline for companies in increasing their safety performance.

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Section: Resultsmentioning

confidence: 99%

A Resilience Approach to Improving Safety Performance in Construction

Kurniawan¹,

Machfudiyanto²

2023

IJSSE

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“…The Theory of Planned Behavior (TPB) delineates the determinants of unsafe behavior by elucidating the interplay between attitude, intention, and action [20], which underscores the pivotal role of behavioral intention in shaping conduct, with safety attitude emerging as a key predictor of workers' intentions [21]. Thus, workers with positive safety attitudes are more inclined to work safely [22,23], and improving the safety attitudes of construction workers is a key factor in curbing unsafe behaviors [24]. Past research indicates a reciprocal relationship wherein safety attitudes not only influence safety behaviors positively but also undergo changes in response to behavioral outcomes, thereby forming a feedback loop [25].…”

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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A Study on the Cascade Evolution Mechanism of Construction Workers’ Unsafe Behavior Risk Factors

Luo,

Tang,

Zhou

et al. 2024

Buildings

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There are numerous risk factors across various dimensions that lead to unsafe behaviors among construction workers, and the interactions between these factors are complex and intertwined. Therefore, it is crucial to comprehensively explore the mechanisms of these risk factors across all dimensions to reduce the accident rate. This paper combines cascading failure and entropy flow models to construct a cascading trigger model for identifying key nodes and paths in a risk network. First, this paper identifies the risk factors in the individual, organizational, managerial, and environmental dimensions, dividing them into deep and surface factors. Based on this, a risk network is constructed, and cascading failure is introduced to simulate the dynamic evolution of risks. Then, the entropy flow model is introduced to quantify the risk flow in risk propagation. Finally, to address the uncertainty of risk occurrence, Visual Studio Code is used for coding, and a simulation platform is built using JavaScript. After conducting simulation experiments, the results are statistically analyzed. The results show that the key nodes of deep factors are mainly concentrated in the individual dimension (herd mentality, negative emotions, physical fatigue, fluke mindset), organizational dimension (poor cohesion, poor internal communication), and managerial dimension (abusive leadership style and insufficient/low-quality safety education and training); the surface factors are mainly the poor safety climate in the organizational dimension. The findings provide theoretical support for reducing the accident rate caused by unsafe worker behaviors, aiming to reduce accident risk losses by cutting off risk propagation paths.

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Will Improved Safety Attitudes Necessarily Curb Unsafe Behavior? Hybrid Method Based on NCA and SEM

Cited by 3 publications

References 43 publications

A Resilience Approach to Improving Safety Performance in Construction

A Resilience Approach to Improving Safety Performance in Construction

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

A Study on the Cascade Evolution Mechanism of Construction Workers’ Unsafe Behavior Risk Factors

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