scholarly journals Characteristics of the safety climate in teams with world-class safety performance on construction projects in South Africa

2017 ◽  
Vol 24 (1) ◽  
Author(s):  
Douw Boshoff ◽  
Chris Krugell ◽  
Hennie van Heerden
2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A79.3-A80
Author(s):  
Ann Marie Dale ◽  
Skye Buckner-Petty ◽  
Bradley Evanoff

BackgroundLeading indicators are preferred to identify injuries and fatalities in construction industry. Safety climate is a leading indicator of construction injuries yet it is not known how workers’ safety climate scores relate to safety programs of different maturity levels.MethodsThis study examined the relationship between safety program scores based on documents and contractor reported activities and project leading indicators of contractor safety climate, safety behaviors of workers and crews, and safety attitudes of coworkers from employee surveys. Hierarchical linear regression models accounted for contractor size and number of workers, nested in contractors within projects. Separate models examined the relationships between safety program scores and 1) contractor safety climate; 2) coworker attitude scores, 3) employees’ own behavior score, and 4) crew behavior scores.Results446 employees of 40 contractors from three commercial construction projects participated. Many contractors (n=16) had good safety programs with 15 or more safety activities (out of 17) from organizational management, worker participation, hazard identification, and training domains. Stronger safety programs had higher safety climate scores (5.15 point difference on a 100 point scale, p=0.05), better coworker safety attitudes (6.69 points, p=0.01), better crew safety behaviors (5.34 points, p=0.02) and higher self-rated behaviors (5.14 points, p=0.02) compared to safety programs with fewer safety items.ConclusionsContractors with more comprehensive safety programs were perceived to have stronger safety climate. Better safety programs were also associated with better self-reported safety performance of coworkers, crews, and individual workers. Stronger safety programs incorporated activities from all four domains Safety programs that include activities that cover safety of management and worker influence safety performance and safety climate as perceived by the workers.


2012 ◽  
Vol 50 (9) ◽  
pp. 1847-1856 ◽  
Author(s):  
Margherita Brondino ◽  
Silvia A. Silva ◽  
Margherita Pasini

2016 ◽  
Vol 16 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Hossein Karimi ◽  
Timothy R.B. Taylor ◽  
Paul M. Goodrum ◽  
Cidambi Srinivasan

Purpose This paper aims to quantify the impact of craft worker shortage on construction project safety performance. Design/methodology/approach A database of 50 North American construction projects completed between 2001 and 2014 was compiled by taking information from a research project survey and the Construction Industry Institute Benchmarking and Metrics Database. The t-test and Mann-Whitney test were used to determine whether there was a significant difference in construction project safety performance on projects with craft worker recruiting difficulty. Poisson regression analysis was then used to examine the relationship between craft worker recruiting difficulty and Occupational Safety and Health Administration Total Number of Recordable Incident Cases per 200,000 Actual Direct Work Hours (TRIR) on construction projects. Findings The result showed that the TRIR distribution of a group of projects that reported craft worker recruiting difficulty tended to be higher than the TRIR distribution of a group of projects with no craft worker recruiting difficulty (p-value = 0.004). Moreover, the average TRIR of the projects that reported craft worker recruiting difficulty was more than two times the average TRIR of projects that experienced no craft recruiting difficulty (p-value = 0.035). Furthermore, the Poisson regression analysis demonstrated that there was a positive exponential relationship between craft worker recruiting difficulty and TRIR in construction projects (p-value = 0.004). Research limitations/implications The projects used to construct the database are heavily weighted towards industrial construction. Practical implications There have been significant long-term gains in construction safety within the USA. However, if recent craft shortages continue, the quantitative analyses presented herein indicate a strong possibility that more safety incidents will occur unless the shortages are reversed. Innovative construction means and methods should be developed and adopted to work in a safe manner with a less qualified workforce. Originality/value The Poisson regression model is the first model that quantifiably links project craft worker availability to construction project safety performance.


2016 ◽  
Vol Volume 112 (Number 1/2) ◽  
Author(s):  
Edward W. Lempinen ◽  
Keyword(s):  

2018 ◽  
Vol 18 (2) ◽  
pp. 110-129 ◽  
Author(s):  
Evan Alaa Nadhim ◽  
Carol K.H. Hon ◽  
Bo Xia ◽  
Ian Stewart ◽  
Dongping Fang

Retrofitting works has become increasingly important in the construction industry, as it plays an effective role in providing solutions to maintain, upgrade or change the functions to the existing or aged buildings. Very often, safety issues of retrofitting works are underestimated because there may be unreported accidents in small projects and there is no separate classification of accident statistics for the retrofitting works within the construction industry. As safety climate is widely regarded as a contributing factor to safety performance, the aim of this research was to examine the relationship between safety climate and safety performance in retrofitting works context. The safety climate questionnaire NOSACQ-50 has been employed to measure safety climate in retrofitting works. Field patrols were undertaken to distribute the safety questionnaires to the local worksites that undertake retrofits in Brisbane, Queensland, Australia. 264 valid questionnaires were collected. SEM was employed to examine the existence and strength of the relationship between safety climate and safety performance. PLS-SEM was utilised to estimate the parameters of the structural model. The model has exposed a positive relationship between safety climate and safety performance in retrofitting context. This research was the first to examine the relationship between the second order latent variables. A positive relationship (0.60 with 36 percent of explained variance) was found between safety climate and safety performance.


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