scholarly journals The Effects of Multi-Sociodemographic Characteristics of Construction Sites Personnel on Perceptions of Safety Climate-Influencing Factors: The Construction Industry in Saudi Arabia

2021 ◽  
Vol 18 (4) ◽  
pp. 1674
Author(s):  
Ibrahim Mosly ◽  
Anas A. Makki
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Migrant Workers ◽  
Safety Climate ◽  
Influencing Factor ◽  
Effective Means ◽  
Sociodemographic Characteristics ◽  
Construction Site ◽  
Construction Sites ◽  
Logistic Regression Method

The construction industry in Saudi Arabia relies prominently on migrant workers of multi-sociodemographic characteristics with different perceptions of a safety climate. The exploration of the perceptions regarding the safety climate among various groups of migrant workers may help identify effective means of improving safety levels at construction sites in Saudi Arabia. This study aimed to examine the effects of multi-sociodemographic characteristics of construction site personnel on their perceptions of the factors that influence the safety climate at construction sites in Saudi Arabia. Data were collected from 401 construction site workers, employed at ongoing construction project sites in Saudi Arabia, using a designed questionnaire. A generalized, linear model approach was applied, using the single ordinal logistic regression method, to analyze the collected data. The results revealed the significant sets of sociodemographic characteristics and their associated subgroups that had significant effects on the perception of importance assigned to each safety climate-influencing factor. These findings provide a better understanding of the views of construction site personnel on the safety climate and can assist construction industry decision-makers, safety policy designers, government agencies, and stakeholders when designing better-targeted enhancement plans and strategies to improve the safety climate of construction sites, based on the sociodemographic makeup of the personnel at each construction site.

Living on the Construction Site: Paraguayan Construction Workers in Buenos Aires

2017 ◽  
Vol 45 (1) ◽  
pp. 77-90 ◽  
Author(s):  
Álvaro del Águila
Keyword(s):  
Construction Industry ◽  
Metropolitan Area ◽  
Migrant Workers ◽  
Buenos Aires ◽  
Labor Relations ◽  
Construction Workers ◽  
Construction Site ◽  
Construction Sites ◽  
Ethnographic Fieldwork

Argentine enterprises subsume Paraguayan migrant workers into the construction industry in the Buenos Aires metropolitan area, subordinating them to the demands of production by temporarily housing them on the construction sites themselves. Ethnographic fieldwork carried out on various construction sites between 2006 and 2015 shows how this practice overlaps with wider processes of global transformation in labor relations. The lodging of workers on construction sites is an increasingly widespread strategy for capitalist entrepreneurs to exploit the migrant workforce even further. Las empresas argentinas han incorporado a los trabajadores migrantes paraguayos a la industria de la construcción en el área metropolitana de Buenos Aires y los han subordinado a las exigencias de la producción, alojándolos temporalmente en las obras mismas. Un trabajo de campo etnográfico realizado en varias obras entre 2006 y 2015 muestra cómo dicha práctica se entrelaza con procesos más amplios en la transformación de las relaciones laborales a nivel global. El alojamiento de los trabajadores en las obras es una estrategia cada vez más extendida para que los empresarios capitalistas puedan explotar la mano de obra migrante aún más de lo que ya hacen.

scholarly journals Determinants for Safety Climate Evaluation of Construction Industry Sites in Saudi Arabia

2020 ◽  
Vol 17 (21) ◽  
pp. 8225 ◽  
Author(s):  
Anas A. Makki ◽  
Ibrahim Mosly
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Safety Climate ◽  
Statistical Approach ◽  
Safety Management ◽  
Principal Component ◽  
Saudi Arabian ◽  
Safety Performance ◽  
Construction Sites ◽  
Using Data

The hazardous nature of the construction industry requires giving increasing attention to safety management and the available means to eliminate or reduce the risks of workers’ injuries. Workers in the construction industry of Saudi Arabia face similar daily risks as workers face in other countries. The safety climate significantly influences safety performance, making research in the field of safety climate a vital step toward raising safety levels at construction sites. This study aims at exploring key components of determinants for safety climate evaluation of Saudi Arabian construction sites. Using data collected from 401 industry practitioners, a dimension reduction statistical approach and exploratory factor/principal component analysis were conducted on 13 safety climate factors that were found to significantly correlate with safety climate evaluation of construction sites. The study revealed three key components of determinants for safety climate evaluation of Saudi Arabian construction sites. Notable components are safety commitment, safety interaction, and safety support. Implications of this study include assisting construction industry stakeholders to bolster the safety climate at their construction sites, which should lead to improved safety performance levels.

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

2021 ◽  
Vol 11 (4) ◽  
pp. 1474
Author(s):  
Anas A. Makki ◽  
Ibrahim Mosly
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Prediction Model ◽  
Safety Climate ◽  
Prediction Models ◽  
Ordinal Logistic Regression ◽  
Decision Makers ◽  
Construction Site ◽  
Construction Sites ◽  
Ordinal Logistic Regression Model

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.

scholarly journals Risk Perception in the Construction Industry: Differences Between Italian and Migrant Workers Before and After a Targeted Training Intervention

2021 ◽  
Vol 31 (1) ◽  
pp. 65-71
Author(s):  
Federico Ricci ◽  
Giulia Bravo ◽  
Alberto Modenese ◽  
Fabrizio De Pasquale ◽  
Davide Ferrari ◽  
...  
Keyword(s):  
Risk Perception ◽  
Construction Industry ◽  
Migrant Workers ◽  
Construction Workers ◽  
Construction Sites ◽  
Visual Tool ◽  
Occupational Risks ◽  
Linguistic Barriers ◽  
Before And After ◽  
The Difference

We developed a visual tool to assess risk perception for a sample of male construction workers (forty Italian and twenty-eight immigrant workers), just before and after a sixteen-hour training course. The questionnaire included photographs of real construction sites, and workers were instructed to select pictograms representing the occupational risks present in each photograph. Points were awarded for correctly identifying any risks that were present, and points were deducted for failing to identify risks that were present or identifying risks that were not present. We found: (1) Before the course, risk perception was significantly lower in immigrants compared to Italians ( p < .001); (2) risk perception improved significantly ( p < .001) among all workers tested; and (3) after the training, the difference in risk perception between Italians and immigrants was no longer statistically significant ( p = .1086). Although the sample size was relatively small, the results suggest that the training is effective and may reduce the degree to which cultural and linguistic barriers hinder risk perception. Moreover, the use of images and pictograms instead of words to evaluate risk perception could also be applied to nonconstruction workplaces.

scholarly journals Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry

2020 ◽  
Vol 12 (21) ◽  
pp. 8905
Author(s):  
Wen Yi ◽  
Robyn Phipps ◽  
Hans Wang
Keyword(s):  
Construction Industry ◽  
Large Scale ◽  
Transportation Cost ◽  
Sustainable Transportation ◽  
Construction Site ◽  
Integer Optimization ◽  
Construction Sites ◽  
Capacity Limits ◽  
Proposed Model

This paper focuses on sustainable transportation of prefab products from factories to construction sites by ship. Since the transportation cost for all the prefab products of a construction site is mainly dependent on the number of cargo holds used on ships, a loading plan for prefab products that minimizes the number of holds required is highly desirable. This paper is therefore devoted to the development of an optimal loading plan that decides which prefab products are loaded into each cargo hold and how to pack these prefab products into the holds so that as few holds as possible are used. We formulate the problem as a large-scale integer optimization model whose objective function is to minimize the total number of cargo holds used and whose constraints represent the cargo hold capacity limits. We develop a heuristic to solve the problem and obtain a high-quality solution. We have tested the model and algorithm on a case study that includes 20 prefab products. We find that different cargo holds carry prefab products that have quite different densities. Moreover, the orientations of many prefab products are different from their default orientations. The results demonstrate the applicability of the proposed model and algorithm.

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

2020 ◽  
Vol 17 (18) ◽  
pp. 6717 ◽  
Author(s):  
Ibrahim Mosly ◽  
Anas A. Makki
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Safety Climate ◽  
Health And Safety ◽  
Initial Step ◽  
Safety Education ◽  
Safety Behavior ◽  
Factors Influencing ◽  
Climate Perceptions ◽  
And Performance

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.

scholarly journals Tension between Productivity and Respect for People in Construction

2020 ◽  
Vol 312 ◽  
pp. 05005
Author(s):  
Lesiba George Mollo ◽  
Fidelis Emuze ◽  
Nicholus Sishuba
Keyword(s):  
South Africa ◽  
Real Time ◽  
Construction Industry ◽  
Management System ◽  
Ethical Reasoning ◽  
Construction Site ◽  
Construction Sites ◽  
Factors Influencing ◽  
Major Factors ◽  
Structured Questionnaire

Productivity in the construction industry is declining in real-time. The decline in productivity is a source of worry for practitioners and researchers. The purpose of this paper is to ascertain major factors influencing productivity in relation to the notion of respects for people (RFP) in construction. The reviewed literature influences the semi-structured questionnaire used to survey construction professionals in Johannesburg, South Africa. The results reaffirm the tension productivity increment and the enhancement of RfP as both ideas appear to be moving in opposite directions on a typical construction site. It was discovered that respect for workers on a construction site is a major concern. The paper argues that ethical reasoning affects productivity. Therefore, an appropriate management system is required to improve the workers' perception of productivity and RfP working on construction sites.

Organized Crime in the Construction Industry

1977 ◽  
Vol 23 (3) ◽  
pp. 304-311 ◽  
Author(s):  
Ralph C. Thomas
Keyword(s):  
Construction Industry ◽  
Organized Crime ◽  
Construction Site ◽  
Construction Sites ◽  
Heavy Equipment ◽  
Societal Changes

The theft of heavy equipment from construction sites is an organized, systematic, criminal operation, encouraged and sustained by contractors within the construction industry and designed to enrich burglars, illicit salesmen, and seemingly legitimate businessmen. From information gathered directly from those affected and involved, the article shows how the system of organized construction site crime works, which institutions profit as a result, and how these institutions support one another to give organized theft the means to survive. Finally, it explains the reasons for failure of current attempts to fight this type of crime and suggests the types of institutional and societal changes needed to curtail it.

scholarly journals An Effective Safety Handling System for Construction Industry in Kerala

2020 ◽  
Vol 9 (3) ◽  
pp. 3968-3972
Keyword(s):  
Construction Industry ◽  
Safety Management ◽  
Construction Safety ◽  
Body Parts ◽  
Construction Site ◽  
Construction Sites ◽  
Loss Of Life ◽  
Factors Affecting ◽  
Construction Safety Management ◽  
Construction Works

The construction industry plays a prominent part in the progress of a country socially and economically. Nowadays construction industry has grown profit driven and the management focuses more on completing the projects on time neglecting safety of the workers. Construction works involving intricate works leading to accidents or injuries resulting in loss of life and body parts are rampant. So a proper safety management system is required to avoid accidents and improve safety at construction sites. Factors affecting safety at construction workplaces were identified and was surveyed through a quantitative questionnaire and analysed to form a basis for the total construction safety management model. The Total Construction Safety Management (TCSM) based on the PDCA modelling is proposed to improve safety at construction sites. This model can act as a guide to the present organizations and helps them to implement safety in quicker manner at construction site.

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