Impact of the Supervisor on Worker Safety Behavior in Construction Projects

Fang, Dongping; Wu, Chunlin; Wu, Haojie

doi:10.1061/(asce)me.1943-5479.0000355

Cited by 242 publications

(160 citation statements)

References 37 publications

Supporting

Mentioning

146

Contrasting

Unclassified

Order By: Relevance

“…Although it is the unsafe acts of frontline workers that directly lead to accidents on construction sites, the upper management tends to be the root cause of accident occurrence (Choudhry and Fang, 2008;Fang et al, 2015). In recent years, the role of management behavior on safety performance has drawn tremendous attention from both construction practitioners and researchers.…”

Section: Introductionmentioning

confidence: 99%

Roles of owners' leadership in construction safety: The case of high-speed railway construction projects in China

Fang

2015

International Journal of Project Management

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Roles of owners' leadership in construction safety: The case of high-speed railway construction projects in China

Fang

2015

International Journal of Project Management

Self Cite

View full text Add to dashboard Cite

“…This importance can be reflected by the factor loading values in the SEM model. The higher the factor loading values, the more consistent the observed endogenous variables are with the latent variables [46,47]. This means the observed variable with the higher factor loadings had more influence on the latent variables, since it possesses the highest-level characteristics of its factor.…”

Section: Weights For All Indicatorsmentioning

confidence: 91%

“…Structural equation model (SEM) is an important branch of the area of applied statistics. It is widely used in different research areas, such as sociology, management science, behavioral science and econometrics [46][47][48][49]. This method has the following advantages: handling multiple dependent variables at the same time; robustness to the observational error between the dependent and independent variables; and allowing the existence of latent variable that consist of multiple observation indexes when the latent variables are hard to measure.…”

Section: Evaluation Of Sustainable Urbanizationmentioning

confidence: 99%

A Novel Approach for Assessing the Performance of Sustainable Urbanization Based on Structural Equation Modeling: A China Case Study

et al. 2016

View full text Add to dashboard Cite

Abstract:The rapid urbanization process has brought problems to China, such as traffic congestion, air pollution, water pollution and resources scarcity. Sustainable urbanization is commonly appreciated as an effective way to promote the sustainable development. The proper understanding of the sustainable urbanization performance is critical to provide governments with support in making urban development strategies and policies for guiding the sustainable development. This paper utilizes the method of Structural equation modeling (SEM) to establish an assessment model for measuring sustainable urbanization performance. Four unobserved endogenous variables, economic variable, social variable, environment variable and resource variable, and 21 observed endogenous variables comprise the SEM model. A case study of the 31 provinces in China demonstrates the validity of the SEM model and the analysis results indicated that the assessment model could help make more effective policies and strategies for improving urban sustainability by recognizing the statue of sustainable urbanization.

show abstract

“…This will enhance their safety knowledge. In addition, face-to-face communication can greatly improve workers' safety awareness because repeating safety reminders and warnings and persuasion are crucial to workers' safety awareness improvement, which in turn leads to a higher level of safety behavior [52].…”

Section: Social Group and Social Organizational Factorsmentioning

confidence: 99%

Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach

Yue

Yang

et al. 2020

IJERPH

View full text Add to dashboard Cite

Previous literature has recognized that workers' unsafe behavior is the combined result of both isolated individual cognitive processes and their interaction with others. Based on the consideration of both individual cognitive factors and social organizational factors, this paper aims to develop an Agent-Based Modeling (ABM) approach to explore construction workers' sociocognitive processes under the interaction with managers, coworkers, and foremen. The developed model is applied to explore the causes of cognitive failure of construction workers and the influence of social groups and social organizational factors on the workers' unsafe behavior. The results indicate that (1) workers' unsafe behaviors are gradually reduced with the interaction with managers, foremen, and workers; (2) the foreman is most influential in reducing workers' unsafe behaviors, and their demonstration role can hardly be ignored; (3) the failure of sociocognitive process of construction workers is affected by many factors, and cognitive process errors could be corrected under social norms; and (4) among various social organizational factors, social identity has the most obvious effect on reducing workers' unsafe behaviors, and preventive measures are more effective than reactive measures in reducing workers' unsafe behaviors.

show abstract

Impact of the Supervisor on Worker Safety Behavior in Construction Projects

Cited by 242 publications

References 37 publications

Roles of owners' leadership in construction safety: The case of high-speed railway construction projects in China

Roles of owners' leadership in construction safety: The case of high-speed railway construction projects in China

A Novel Approach for Assessing the Performance of Sustainable Urbanization Based on Structural Equation Modeling: A China Case Study

Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach

Contact Info

Product

Resources

About