Abstract

Construction is a hazardous industry. The project-based nature and fragmentation in the industry lead to change and uncertainty requiring special expertise. To handle those, construction firms must develop strategies and action plans along with the experience gained from lessons learned. Among the risks, safety risks are of critical importance leading to accidents. Hence, firms need to strengthen their safety programs, review their strategies for safety management, and develop effective safety training sessions to protect their workers. This study focuses on the success factors promoting safety performance. In this respect, a questionnaire was designed and administered to the Engineering News-Record (ENR) 2020 Top 400 Contractors. The questionnaire data was utilized in conducting a factor analysis to group and name the factors considering the total variance. The analysis of the factors resulted in six-factor groups; namely, project and firm-related factors, demographic factors, practical factors, motivational factors, organizational factors, and human-related factors. Project and firm-related factors were found to be the most essential factor group in terms of promoting the effectiveness of safety training. The results of this study are expected to guide industry practitioners in terms of reviewing and revising their safety training programs.

Highlights

  • The construction industry is one of the riskiest industries due to the high number of work-related hazards and injuries [1,2,3,4,5]

  • The results indicate that the use of protective equipment (PPE), leadership, safety awareness, and motivation are the most important success drivers in safety training sessions, whereas demographic variables such as age, country of origin, and gender are less important in terms of impacting the success of safety training sessions

  • A further investigation of the descriptive statistics indicated that the coefficient of variation (CV) for the variables lies between 0.05–0.30, representing a significant variability and dispersion in the data set

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Summary

Introduction

The construction industry is one of the riskiest industries due to the high number of work-related hazards and injuries [1,2,3,4,5]. Reported that the total number of fatal work injuries in the U.S was 5250, 1008 of which were in construction. The total number of non-fatal work injuries was recorded as. The work-related injuries and fatalities mostly stem from the fact that workers fail to comply with the rules in safety programs [7]. Heinrich’s (1931) [8] study on safety indicated that a sequence of factors on worker mistakes combined with dangerous or unsafe behavior is the main cause of accidents. Alarcón et al (2016) [10] reported that the occurrence of work accidents is not random and due to several controllable factors

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