Using a psychological contract of safety to predict safety climate on construction sites

Introduction: The fact that safety climate impacts safety behavior and delivers better safety outcomes is well established in construction. However, the way workers safety perception is inclined and developed is still unclear. Method: In this research, the influence of supervisors' developing safety climate and its impact on workers' safety behavior and their conceptualization of safety is explored through the lens of the ‘Psychological Contract’ (PC). More specifically, it is argued that ‘Psychological Contract of Safety’ (PCS) is a vital factor in explaining how workers attach meaning to a supervisor behavior. Extant research suggests: (a) safety climate is based on the perception of workers regarding safety; and (b) PCS is based on perceived mutual obligations between workers and supervisors. As a result, this research argues that if PCS or mutual obligations between workers and supervisors are fulfilled, then safety climate of the workers will be positively influenced. A model is presented depicting PCS as an alternative intervention in understanding how safety climate could be influenced and predicted by the level of fulfillment of mutual safety obligations. Using Structural Equation Modeling (SEM) the model of the PCS is validated with data collected from a mega-construction project in Australia. Results: The results suggest that to have a positive and strong safety climate, top-level managers must ensure that mutual safety obligations between supervisor and workers are fulfilled. This enables the PCS to be introduced as a new ‘predictor’ of safety climate. Practical applications: The novel outcome of the research could be considered as a management intervention to modify supervisors' behavior to produce better safety outcomes.     

Does company size matter? Validation of an integrative model of safety behavior across small and large construction companies

Introduction: Previous safety climate studies primarily focused on either large construction companies or the construction industry as a whole, while little is known about whether company size has significant effects on workers' understanding of safety climate measures and relationships between safety climate factors and safety behavior. Thus, this study aims to: (a) test the measurement equivalence (ME) of a safety climate measure across workers from small and large companies; (b) investigate if company size alters the causal structure of the integrative model developed by Guo, Yiu, and González (2016). Method: Data were collected from 253 construction workers in New Zealand using a safety climate measure. This study used multi-group confirmatory factor analyses (MCFA) to test the measurement equivalence of the safety climate measure and structure invariance of the integrative model. Results: Results indicate that workers from small and large companies understood the safety climate measure in a similar manner. In addition, it was suggested that company size does not change the causal structure and mediational processes of the integrative model. Conclusions: Both measurement equivalence of the safety climate measure and structural invariance of the integrative model were supported by this study. Practical applications: Findings of this study provided strong support for a meaningful use of the safety climate measure across construction companies in different sizes. Safety behavior promotion strategies designed based on the integrative model may be well suited for both large and small companies.     

The association between subcontractor safety management programs and worker perceived safety climate in commercial construction projects

Problem: Safety management programs (SMPs) are designed to mitigate risk of workplace injuries and create a safe working climate. The purpose of this project was to evaluate the relationship between contractors’ SMPs and workers’ perceived safety climate and safety behaviors among small and medium-sized construction subcontractors. Methods: Subcontractor SMP scores on 18 organizational and project-level safety items were coded from subcontractors’ written safety programs and interviews. Workers completed surveys to report perceptions of their contractor’s safety climate and the safety behaviors of coworkers, crews, and themselves. The associations between SMP scores and safety climate and behavior scales were examined using Spearman correlation and hierarchical linear regression models (HLM). Results: Among 78 subcontractors working on large commercial construction projects, we found striking differences in SMP scores between small, medium, and large subcontractors (p < 0.001), related to a number of specific safety management practices. We observed only weak relationships between SMP scales and safety climate scores reported by 746 workers of these subcontractors (β = 0.09, p = 0.04 by HLM). We saw no differences in worker reported safety climate and safety behaviors by contractor size. Discussion: SMP only weakly predicted safety climate scales of subcontractors, yet there were large differences in the quality and content of SMPs by size of employers. Summary: Future work should determine the best way to measure safety performance of construction companies and determine the factors that can lead to improved safety performance of construction firms. Practical applications: Our simple assessment of common elements of safety management programs used document review and interviews with knowledgeable representatives. These methods identified specific safety management practices that differed between large and small employers. In order to improve construction safety, it is important to understand how best to measure safety performance in construction companies to gain knowledge for creating safer work environments.     

An application of a modified theory of planned behavior model to investigate adolescents’ job safety knowledge,norms, attitude and intention to enact workplace safety and health skills

Introduction: For many reasons, including a lack of adequate safety training and education, U.S. adolescents experience a higher rate of job-related injury compared to adult workers. Widely used social-psychological theories in public health research and practice, such as the theory of planned behavior, may provide guidance for developing and evaluating school-based interventions to prepare adolescents for workplace hazards and risks. Method: Using a structural equation modeling approach, the current study explores whether a modified theory of planned behavior model provides insight on 1,748 eighth graders’ occupational safety and health (OSH) attitude, subjective norm, self-efficacy and behavioral intention, before and after receiving instruction on a free, national young worker safety and health curriculum. Reliability estimates for the measures were produced and direct and indirect associations between knowledge and other model constructs assessed. Results: Overall, the findings align with the theory of planned behavior. The structural equation model adequately fit the data; most path coefficients are statistically significant and knowledge has indirect effects on behavioral intention. Confirmatory factor analyses suggest that the knowledge, attitude, self-efficacy, and behavioral intention measures each reflect a unique dimension (reliability estimates ≥0.86), while the subjective norm measure did not perform adequately. Conclusion: The findings presented provide support for using behavioral theory (specifically a modified theory of planned behavior) to investigate adolescents’ knowledge, perceptions, and behavioral intention to engage in safe and healthful activities at work, an understanding of which may contribute to reducing the downstream burden of injury on this vulnerable population—the future workforce. Practical application: Health behavior theories, commonly used in the social and behavioral sciences, have utility and provide guidance for developing and evaluating OSH interventions, including those aimed at preventing injuries and promoting the health and safety of adolescent workers in the U.S., who are injured at higher rates than are adults.     

The mediating role of psychological capital between perceived management commitment and safety behavior

Introduction: Among attempts that address high incidences of fatalities and injuries in coal mines, increasing attention has been paid to management commitment to complement the traditional focus on technological advances in safety management. However, more research is needed to explain the influence of perceived management commitment, with extant research drawing commonly on Griffin and Neal (2000) to focus on safety knowledge, skills, and motivation. This study draws on social cognitive theory (Bandura, 1986) to investigate psychological capital as a link between thought process and safety behavior. Method: This study uses survey data from 400 frontline workers in China’s coal mines to test hypotheses. Result: Results suggest that perceived management commitment to safety correlates positively with workers’ safety compliance and participation, and four constituents of psychological capital—self-efficacy, hope, optimism, and resilience—explain the influence of perceived management commitment on safety compliance and participation. Practical Applications: Findings offer both researchers and practitioners an explanation of how perceived management commitment influences safety behaviors, and clarify the roles psychological capital constituents play in explaining the influence of perceived management commitment on safety compliance and safety participation.     

Modeling the effects of production pressure on safety performance in construction projects using system dynamics

Introduction: Construction incidents occur due to system failures, not due to a single factor such as unsafe behavior or condition. Therefore, construction safety should be investigated using a systematic view capable of illustrating the complex nature of incidents. Construction projects are also often behind their planned schedule and suffer from various pressures caused by contractual deadlines or clients. Previous studies demonstrated that such pressures negatively affect safety performance; however, the process of how production pressure influences safety performance is not fully investigated. Method: The present research aimed to understand the feedback mechanism of how production pressure interactively affects safety performance and safety-related managerial components in a construction project. Ground theory method (GTM) is used to create a conceptual causal loop diagram that shows the relationship between incident rate and other variables such as labor hour, actual and planned progress, safety climate, rework, and safety training. Moreover, a power plant construction project was used as a case study to practically investigate the conceptual model; a case study is employed to build a System Dynamics (SD) model. The simulation model was then validated using behavior reproduction and sensitivity analysis. Results: The results of the inequality statistics show that the simulation model can be used to forecast trends in the incident rate.     

Two discrete choice experiments on laboratory safety decisions and practices

IntroductionThe path toward enhancing laboratory safety requires a thorough understanding of the factors that influence the safety-related decision making of laboratory personnel. Method: We developed and administered a web-based survey to assess safety-related decision making of laboratory personnel of a government research organization. The survey included two brief discrete choice experiments (DCEs) that allowed for quantitative analysis of specific factors that potentially influence safety-related decisions and practices associated with two different hypothetical laboratory safety scenarios. One scenario related to reporting a laboratory spill, and the other scenario involved changing protective gloves between laboratory rooms. The survey also included several brief self-report measures of attitude, perception, and behavior related to safety practices. Results: Risk perception was the most influential factor in safety-related decision making in both scenarios. Potential negative consequences and effort associated with reporting an incident and the likelihood an incident was detected by others also affected reporting likelihood. Wearing gloves was also affected somewhat by perceived exposure risk, but not by other social or work-related factors included in the scenarios. Conclusions: The study demonstrated the promise of DCEs in quantifying the relative impact of several factors on safety-related choices of laboratory workers in two hypothetical but realistic scenarios. Participants were faced with hypothetical choice scenarios with realistic features instead of traditional scaling techniques that ask about attitudes and perceptions. The methods are suitable for addressing many occupational safety concerns in which workers face tradeoffs in their safety-related decisions and behavior. Practical Application: Safety-related decisions regarding laboratory practices such as incident reporting and use of PPE were influenced primarily by workers’ perceptions of risk of exposure and severity of risks to health and safety. This finding suggests the importance of providing laboratory workers with adequate and effective education and training on the hazards and risks associated with their work. DCEs are a promising research method for better understanding the relative influences of various personal, social, and organizational factors that shape laboratory safety decisions and practices. The information gained from DCEs may lead to more targeted training materials and interventions.     

Perceived organizational support and perceived safety climate from the perspective of safety professionals: Testing reciprocal causality using a cross-lagged panel design

Introduction: The objective of this study was to determine the reciprocal relationship between safety professionals perceived organizational support (POS) and perceived safety climate. Safety professionals are most effective when they perceive support from management and employees and they also attribute most of their success to support from the organization. Their work directly improves safety climate, and organizations with a high safety climate show a higher value for the safety professional. The causal direction of this relationship is, however, unclear. Method: Using a sample of 162 safety professionals, we conducted a cross-lagged panel study over one year to examine whether safety professionals’ POS improves their perceived safety climate and/or whether safety climate also increases POS over time. Data were collected at two points and, after testing for measurement invariance, a cross-lagged SEM was conducted to analyze the reciprocal relationship. Results: Our findings show that safety professionals’ POS was positively related to perceived safety climate over time. Perceived safety climate, however, did not contribute to safety professionals’ POS. Conclusions: This study significantly adds to the discussion about the factors influencing safety professionals’ successful inclusion in organizations, enabling them to perform their work and, thus, improve occupational safety. Practical Applications: Since safety climate increases in organizations in which safety professionals feel supported, this study points out the kind of support that contributes to improved organizational safety. Support for safety professionals may come in classical forms such as approval, pay, job enrichment, and information on or influence over organizational policies.     

Impact of psychological capital on construction worker safety behavior: Communication competence as a mediator

IntroductionConstruction workers face a work environment of high risk and mental stress. Psychological capital (PsyCap) could influence employee's mental health and work performance. It would be helpful to determine whether PsyCap affects worker safety behavior. However, few studies empirically examined the impacts of the sub-dimensions of PsyCap on the safety behavior in construction settings, reducing the potential practicability of PsyCap to improve workplace safety performance. Thus, this study tested the relationship between sub-dimensions of PsyCap (self-efficacy, hope, resilience, optimism) and safety behaviors (safety compliance, safety participation), while the mediating role of communication competence was also explored. Method: Data were collected from 655 construction workers in China using a psychological capital questionnaire (PCQ). The theoretical model were tested with confirmatory factor analyses (CFA) and structural equation modeling (SEM) techniques. Results: Results show that: (a) the self-efficacy dimension of PsyCap positively affected safety compliance and safety participation, while the resilience dimension positively impacted safety participation; (b) the hope dimension was not directly related to safety behaviors, while the optimism dimension negatively associated with safety participation; and (c) communication competence mediated the relationships between the hope and optimism dimensions of PsyCap and safety participation. Conclusions: A multidimensional perspective on PsyCap should be taken while examining its effects on safety behavior and the individual communication competence helps to enhance construction safety. Findings of this study shed lights on safety behavior promotion practices based on the multidimensional model. Initiating flexible psychological capital training and intervention, and strengthening communication skills of construction employees are suggested to improve safety performance in the construction industry.     

Quantification of risk perception: Development and validation of the construction worker risk perception (CoWoRP) scale

Introduction: The construction sector is leading in the number of accidents and fatalities; risk perception is the key to driving these numbers. Previous construction safety studies on risk perception quantification have not considered affective risk perception of construction workers or conducted comprehensive reliability and validity testing. Thus, this study aims to fill this need by developing a psychometrically sound instrument – the Construction Worker Risk Perception (CoWoRP) Scale – to assess the risk perception of construction workers. Method: Four phases of scale development, namely, item development, factor analysis, reliability assessment, and validity assessment were conducted with the collection and testing of data from a group (n = 469) of voluntary construction workers in Hong Kong. Results: The CoWoRP Scale with 13 items was shown to have acceptable test–retest reliability, internal consistency reliability, as well as content, convergent, discriminant, and criterion-related validity. Also, the CoWoRP Scale was affirmed to have three dimensions of worker risk perception, namely risk perception – probability, risk perception – severity, risk perception – worry and unsafe. These three dimensions of worker risk perception were negatively correlated with their risk-taking behavior. Conclusions: The CoWoRP Scale is a reliable and valid instrument for measuring the risk perception of construction workers and is expected to facilitate the construction safety studies that take risk perception of construction workers into account. Practical applications: The CoWoRP Scale could serve as an aptitude test to identify the characteristics of construction workers most likely to perceive lower risk in risky work situations. In turn, this information could help safety management provide safety training programs to those workers to enhance their risk perception and thereby minimizing their risk-taking behavior, reducing unnecessary training costs, and improving the construction safety performance.     

Multi-level safety climate associations with safety behaviors in the fire service

Introduction: Limited research associated with safety climate has been completed within the fire service. Given this dearth of information, the present study sought to identify a valid and reliable measure of safety climate at both the workgroup and organizational levels within the fire service. Methods: Researchers surveyed 994 firefighters in two large metropolitan fire departments. Preliminary analyses including psychometrics, confirmatory factor analyses, and shared perception analyses were completed. A linear mixed model analysis was then completed to assess the relationships between workgroup safety climate, organizational safety climate, and safety behaviors, including both safety compliance and safety citizenship behaviors. Results: Measures of safety climate at the workgroup (WGSC) and organizational levels (OSC) were derived. WGSC factors include supervisor support (α = 0.92), vertical cohesion (α = 0.89), and horizontal cohesion (α = 0.94). OSC factors include management commitment (α = 0.91), safety programs/policies (α = 0.89), perceived fairness (α = 0.86) and incident command (α = 0.90). Confirmatory factor analyses confirmed our multi-factor models were a good fit to the data. The linear mixed model analysis found that WGSC positively predicted safety compliance behavior (B = 0.13, p < .001) and safety citizenship behavior (B = 0.22, p < .001) and OSC positively predicted safety compliance behavior (B = 0.16, p < .001) and safety citizenship behavior (B = 0.15, p < .001). Conclusions: This work presents reliable and valid measures of both workgroup and organizational safety climate, which have positive relationships with safety behavior outcomes. Practical application: The measures, which were developed through an extensive multi-method process, provide a means for researchers and practitioners to assess safety climate in the fire service and provides guidance for future safety climate research, including informing intervention research, which could potentially bolster safety climate and enhance safety in the fire service.     

Is there agreement between worker self and supervisor assessment of worker safety performance? An examination in the construction industry

Introduction: Individual safety performance (behavior) critically influences safety outcomes in high-risk workplaces. Compared to the study of generic work performance on different measurements, few studies have investigated different measurements of safety performance, typically relying on employees' self-reflection of their safety behavior. This research aims to address this limitation by including worker self-reflection and other (i.e., supervisor) assessment of two worker safety performance dimensions, safety compliance and safety participation. Method: A sample of 105 workers and 17 supervisors in 17 groups in the Chinese construction industry participated in this study. Comparisons were made between worker compliance and participation in each measurement, and between workers' and supervisors' assessment of workers' compliance and participation. Multilevel modeling was adopted to test the moderating effects on the worker self-reflection and supervisor-assessment relationship by group safety climate and the work experience of supervisors. Results: Higher levels of safety compliance than participation were found for self-reflection and supervisor assessment. The discrepancy between the two measurements in each safety performance dimension was significant. The work experience of supervisors attenuated the discrepancy between self- and supervisor-assessment of compliance. Contrary to our expectations, the moderating effect of group safety climate was not supported. Conclusions: The discrepancy between worker self- and supervisor-assessment of worker safety performance, thus, suggests the importance of including alternative measurements of safety performance in addition to self-reflection. Lower levels of participation behavior in both raters suggest more research on the motivators of participatory behavior. Practical applications The discrepancy between different raters can lead to negative reactions of ratees, suggesting that managers should be aware of that difference. Assigning experienced supervisors as raters can be effective at mitigating interrater discrepancy and conflicts in the assessment of compliance behavior.     

Values-in-action that support safe production

Introduction: Safe production is a sustainable approach to managing an organization’s operations that considers the interests of both management and workers as salient stakeholders in a productive and safe workplace. A supportive culture enacts values versus only espousing them. These values-in-action are beliefs shared by both management and workers that align what should happen in performing organizational routines to be safe and be productive with what actually is done. However, the operations and safety management literature provides little guidance on which values-in-action are most important to safe production and how they work together to create a supportive culture. Method: The researchers conducted exploratory case studies in 10 manufacturing plants of 9 firms. The researchers compared plant managers’ top-down perspectives on safety in the performance of work and workers’ bottom-up experiences of the safety climate and their rates of injury on the job. Each case study used data collected from interviewing multiple managers, the administration of a climate survey to workers and the examination of the plant’s injury rates over time as reported to its third party health and safety insurer. Results: The researchers found that plants with four values-in-action —a commitment to safety, discipline, prevention and participation—were capable of safe production, while plants without those values were neither safe nor productive. Where culture and climate aligned lower rates of injury were experienced. Discussion and conclusion: The four value-in-actions must all be present and work together in a self-reinforcing manner to engage workers and managers in achieving safe production. Practical application: Managers of both operations and safety functions do impact safety outcomes such as reducing injuries by creating a participatory environment that encourage learning that improves both safety and production routines.     

Implementing and evaluating novel safety training methods for construction sector workers: Results of a randomized controlled trial

Introduction: The construction industry is regarded as one of the most unsafe occupational fields worldwide. Despite general agreement that safety training is an important factor in preventing accidents in the construction sector, more studies are needed to identify effective training methods. To address the current research gap, this study evaluated the impact of novel, participatory safety training methods on construction workers’ safety competencies. Specifically, we assessed the efficacy of an immersive virtual reality (VR)-based safety training program and a participatory human factors safety training program (HFST) in construction industry workplaces. Method: In 2019, 119 construction sector workers from eight workplaces participated in a randomized controlled trial conducted in Finland. All the study participants were assessed using questionnaires at baseline, immediately after the intervention and at one-month follow-up. We applied generalized linear mixed modeling for statistical analysis. Results: Compared to lecture-based safety training, VR-based safety training showed a stronger impact on safety motivation, self-efficacy and safety-related outcome expectancies. In addition, the construction sector workers who participated in the VR-based safety training showed a greater increase in self-reported safety performance at one-month follow-up. Contrary to our study hypotheses, we found no significant differences between the study outcomes in terms of study participants in the HFST training condition and the comparison condition without HFST training. Conclusion: Our study indicates that VR technology as a safety training tool has potential to increase safety competencies and foster motivational change in terms of the safety performance of construction sector workers. In the future, the efficacy of participatory human factors safety training should be studied further using a version that targets both managerial and employee levels and is implemented in a longer format. Practical implications: Safety training in virtual reality provides a promising alternative to passive learning methods. Its motivating effect complements other safety training activities.     

Integrating safety,health and environmental management systems: A conceptual framework for achieving lean enterprise outcomes

IntroductionExpectations from external stakeholders for eco-safe products and production processes and internal stakeholders for transparent, stable, and robust environment, safety, and health operations have driven high technology organizations to adopt multipart management systems. Organizations can protect workers and the environment and simultaneously contribute to lean management principles by implementing integrated management systems. This research adds to the existing discourse and theory pertaining to the integration of environment, safety, and health management systems. Methods: The research was exploratory and inductive in nature and used mixed methods. Specifically, qualitative methods included use of an iterated Delphi method to elicit information from a panel of experts and detailed case studies conducted at four high technology performance manufacturing firms, while quantitative analysis of variance of correlated data investigated the within-firm and between-firm variability in motivating factors for adopting integrated systems and methods used for implementing integrated systems. Results: The results offer an integrated-lean management system framework and the strategies available and used by a sample of high technology performance organizations to simultaneously protect workers, the environment, and support lean enterprise outcomes. Practical applications: Organizations can protect workers, the environment, and simultaneously contribute to lean management principles by implementing integrated management systems requiring joint management that allow for the shared design, evaluation, and continuous improvement of environmental, safety, and health practices that are compatible with the lean enterprise movement in today’s high-performance driven organizations.     

Behaving safely under pressure: The effects of job demands,resources, and safety climate on employee physical and psychosocial safety behavior

Introduction: Previous research has shown that employees who experience high job demands are more inclined to show unsafe behaviors in the workplace. In this paper, we examine why some employees behave safely when faced with these demands while others do not. We add to the literature by incorporating both physical and psychosocial safety climate in the job demands and resources (JD-R) model and extending it to include physical and psychosocial variants of safety behavior. Method: Using a sample of 6230 health care employees nested within 52 organizations, we examined the relationship between job demands and (a) resources, (b) safety climate, and (c) safety behavior. We conducted multilevel analyses to test our hypotheses. Results: Job demands (i.e., work pressure), job resources (i.e., job autonomy, supervisor support, and co-worker support) and safety climate (both physical and psychosocial safety climate) are directly associated with, respectively, lower and higher physical and psychosocial safety behavior. We also found some evidence that safety climate buffers the negative impact of job demands (i.e., work–family conflict and job insecurity) on safety behavior and strengthens the positive impact of job resources (i.e., co-worker support) on safety behavior. Conclusions: Regardless of whether the focus is physical or psychological safety, our results show that strengthening the safety climate within an organization can increase employees' safety behavior. Practical implication: An organization's safety climate is an optimal target of intervention to prevent and ameliorate negative physical and psychological health and safety outcomes, especially in times of uncertainty and change.     

Safety climate and mindful safety practices in the oil and gas industry

IntroductionThe existence of a positive association between safety climate and the safety behavior of sharp-end workers in high-risk organizations is supported by a considerable body of research. Previous research has primarily analyzed two components of safety behavior, namely safety compliance and safety participation. The present study extends previous research by looking into the relationship between safety climate and another component of safety behavior, namely mindful safety practices. Mindful safety practices are defined as the ability to be aware of critical factors in the environment and to act appropriately when dangers arise.MethodRegression analysis was used to examine whether mindful safety practices are, like compliance and participation, promoted by a positive safety climate, in a questionnaire-based study of 5712 sharp-end workers in the oil and gas industry.ResultsThe analysis revealed that a positive safety climate promotes mindful safety practices.ConclusionsThe regression model accounted for roughly 31% of the variance in mindful safety practices. The most important safety climate factor was safety leadership.Practical applicationsThe findings clearly demonstrate that mindful safety practices are highly context-dependent, hence, manageable and susceptible to change. In order to improve safety climate in a direction which is favorable for mindful safety practices, the results demonstrate that it is important to give the fundamental features of safety climate high priority and in particular that of safety leadership.     

Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures

Introduction: Heterogeneous driving populations with many different origins are likely to have various sub-cultures that comprise of drivers with shared driver characteristics, most likely with dissimilar traffic safety cultures. An innovative methodology in traffic safety research is introduced which is beneficial for large datasets with multiple variables, making it useful for the multi-variate classification of drivers, driving attitudes and/or (risky) driving behaviours. Method: With the application of multidimensional scaling analysis (MDS), this study explores traffic safety culture in the State of Qatar using a questionnaire and investigates the similarity patterns between the questionnaire items, aiming to classify attitudes towards risky driving behaviours into themes. MDS is subsequently applied to classify drivers within a heterogeneous driving sample into sub-cultures with shared driver characteristics and different risky driving attitudes. Results: Results show that acceptance of speeding is highest among the young Arabic students and acceptance of distraction and drivers’ negligence such as phone use and not wearing a seatbelt is highest among male Arab drivers. Acceptance of extreme risk-taking like intoxicated driving and red-light running is highest among South-Asian business drivers. Conclusion: It is important and practical to understand risky behavioural habits among sub-cultures and thereby focussing on groups of drivers instead of individuals, because groups are easier to approach and drivers within sub-cultures are found to influence each other. By indicating which groups of drivers are most likely to perform specific risky driving themes, it is possible to target these groups and effectively emphasise certain subsets of risky driving behaviours during training or traffic safety education. Practical Applications: This study provides guidance for the improvement of driver education and targeted traffic safety awareness campaigns, intending to make changes to attitudes and habits within specific driver sub-cultures with the aim to improve traffic safety on the longer term.     

Safety climate at agricultural cooperatives

Introduction: This study identifies determinants of safety climate at agricultural cooperatives. Methods: An extensive survey was designed to build upon past research done in collaboration with DuPont (Risch et al., 2014). In 2014 and 2015, the survey was administered to 1930 employees at 14 different agricultural cooperatives with 154 locations. Injury incidence data were also collected from each location to better understand the overall health and safety environment in this sector. An ordered probit model is used to identify variables that are associated with better safety climates. Results: Safety system components such as discipline programs, inspection programs, modified duty programs, off-the-job safety training programs, and recognition programs are positively related to individual safety climate for both managerial employees and nonmanagerial employees. Variables representing an employee’s agricultural background, distance between their workplace and childhood home, and formal education are not associated with managerial safety climate. However, agricultural background and childhood home distance are associated with nonmanagerial safety climate. Conclusions: Improving occupational health and safety is a priority for many agricultural cooperatives. Lower safety climate emerges as nonmanagerial employees have more experience with production agriculture and work nearer to their home community. Practical applications: Employees of agricultural cooperatives face a host of health and safety challenges that are likely to persist into the future. The safety system components associated with safety climate indicate that continuous feedback is important for improving occupational health and safety. Occupational health and safety programming should also acknowledge that many employees have experiences that influence their attitudes and behaviors.