Perceived risk, safety climate and safety behavior on Moroccan construction sites

Elmoujaddidi, Fatimazzahra; Bachir, Aziz

doi:10.1080/10803548.2018.1546461

Cited by 28 publications

(24 citation statements)

References 20 publications

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“…Safety management factors, including roles and responsibilities, project management, occupational health and safety (OHS) management and integration, safety climate, learning, site management, staff management, and operative risk management, were identified as essential for high safety performance [9]. A study that took place in Morocco's construction industry, which endures low safety performance, found that a positive safety climate appears to counteract the negative effect that high-risk tolerance imposes on safety behavior [10]. Ethnic minority construction workers are vulnerable to accidents, which emphasizes the importance of determining potential strategies to improve construction sites' safety climate that will lead to improved safety performance [11].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Makki

Mosly

2021

Applied Sciences

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Construction site accidents can be reduced through proactive steps using prediction models developed based on factors that influence the safety climate. In this study, a prediction model of the safety climate observed by construction site personnel in Saudi Arabia was developed, identifying a set of significant safety climate predictors. The model was built with data collected from 401 active construction site personnel using a bootstrapped multiple ordinal logistic regression model. The model revealed five significant predictors: supervision, guidance, and inspection; social security and health insurance; management’s commitment to safety; management’s safety justice; and coworker influence. The model can correctly predict 67% of the safety evaluations. The identified predictors present proof of the importance of safety support, commitment, and interaction in construction sites and their influence on the perceived evaluations of the safety climate by personnel. Moreover, the prediction model can help construction industry decision makers, safety policy designers, government agencies, and stakeholders to estimate the safety climate and assess the current situation. Furthermore, the model can help form a better understanding and determine areas of improvement, which can translate into higher safety performance levels.

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Section: Introductionmentioning

confidence: 99%

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Makki

Mosly

2021

Applied Sciences

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“…Improving the overall construction safety levels is the responsibility of construction managers, as they enhance safety perception by safety training and better practices [ 21 ]. Furthermore, better safety climate perception can be achieved when there is clear communication on rules [ 22 ]. Here, research studies emphasized the important role of team leaders and their means of communication with their teams to deliver safety climate.…”

Section: Introductionmentioning

confidence: 99%

Safety Climate Perceptions in the Construction Industry of Saudi Arabia: The Current Situation

Mosly

Makki

2020

IJERPH

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Workers’ wellbeing and safety is important in the construction industry due to the high risk of accidents. Safety climate development is a positive initial step toward raising the safety levels of construction practitioners. This study aims at revealing the factors influencing safety climate perceptions in the construction industry of Saudi Arabia. A set of extracted factors from the literature was validated and used to design a comprehensive questionnaire survey. Data was collected from 401 personnel working on 3 large construction project sites in Saudi Arabia. Descriptive statistics and the crosstabulation algorithm, Kendall’s tau-b correlation test, were used to analyze the data. The study revealed a set of 13 factors influencing safety climate perceptions, which are: Supervision, guidance and inspection, appraisal of risks and hazards, social security and health insurance, workmate influences, management safety justice, management commitment to safety, education and training, communication, workers’ safety commitment, workers’ attitude toward health and safety, workers’ involvement, supportive environment, and competence. The results also indicate the significant and anticipated role of top management in safety climate at sites. Implications of this study include assisting construction industry stakeholders to better understand and enhance safety climate, which in turn will lead to improved safety behavior, culture, motivation, and performance.

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“…By contrast, poor supervisorworker's relationship (e.g., supervisors present ambiguous safety goal priorities) will tend to weaken the workers' obligations to the onsite safety, and increase their tendency of breaking safety rules (Novak et al, 2017). Considering that construction industry often suffers from the constant tension between production and safety (Elmoujaddidi & Bachir, 2018), high quality supervisor-workers relationship should be necessary to influence workers' decisions about whether to break safety rules or not.…”

Section: Leader-member Exchangementioning

confidence: 99%

The Impact of Supervisor–worker Relationship on Workers’ Safety Violations: A Modified Theory of Planned Behaviour

Cong

Lian

2019

Journal of Civil Engineering and Management

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This study develops and tests an integrative model to better understand the mechanisms by which the leadermember exchange (LMX) determines workers’ safety behaviours. The modified theory of planned behaviour (TPB) was proposed by using attitudinal ambivalence to replace univalent safety attitude. Empirical data were collected from 229 construction workers in China using a detailed questionnaire. Both situational and routine safety violations were considered in this model. The results showed that LMX had significant effects on both types of safety violations through three mediators from the modified TPB framework. Specifically, attitudinal ambivalence and group safety norm mediated the relationships between LMX and both types workers’ safety violations. However, perceived behavioural control only mediated the relationship between LMX and individuals’ routine safety violations. Furthermore, this research supported the distinctions between situational and routine safety violations. The indirect effects of LMX on individuals’ situational safety violations took place mainly through group safety norm. By contrast, the indirect effects on individuals’ routine safety violations took place mainly through attitudinal ambivalence and perceived behavioural control. Finally, the theoretical and practical implications, research limitations, and future directions were discussed. The results provide some meaningful insights into how to improve safety compliance behaviours from the perspective of supervisor-worker relationships.

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Perceived risk, safety climate and safety behavior on Moroccan construction sites

Cited by 28 publications

References 20 publications

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Predicting the Safety Climate in Construction Sites of Saudi Arabia: A Bootstrapped Multiple Ordinal Logistic Regression Modeling Approach

Safety Climate Perceptions in the Construction Industry of Saudi Arabia: The Current Situation

The Impact of Supervisor–worker Relationship on Workers’ Safety Violations: A Modified Theory of Planned Behaviour

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