Safety leadership and safety performance in petrochemical industries: The mediating role of safety climate

This study examines the relationship among three latent variables: safety leadership, safety climate, and safety performance. Employees from 23 plants in seven departments of a petrochemical company in central Taiwan completed a questionnaire survey. From this, a sample of 521 responses was randomly selected. Structural equation modeling (SEM) analysis using the AMOS 5.0 was employed to test the hypothesized model relating the above-mentioned variables. The results indicate that the model was supported, and that safety climate mediated the relationship between safety leadership and performance. Practical implications of these results for process safety management in the petrochemical industries are discussed.     

Secondary collisions and injury severity: A joint analysis using structural equation models

Objective: This study aims to investigate the contributing factors to secondary collisions and the effects of secondary collisions on injury severity levels. Manhattan, which is the most densely populated urban area of New York City, is used as a case study. In Manhattan, about 7.5% of crash events become involved with secondary collisions and as high as 9.3% of those secondary collisions lead to incapacitating and fatal injuries.

Methods: Structural equation models (SEMs) are proposed to jointly model the presence of secondary collisions and injury severity levels and adjust for the endogeneity effects. The structural relationship among secondary collisions, injury severity, and contributing factors such as speeding, alcohol, fatigue, brake defects, limited view, and rain are fully explored using SEMs. In addition, to assess the temporal effects, we use time as a moderator in the proposed SEM framework.

Results: Due to its better performance compared with other models, the SEM with no constraint is used to investigate the contributing factors to secondary collisions. Thirteen explanatory variables are found to contribute to the presence of secondary collisions, including alcohol, drugs, inattention, inexperience, sleep, control disregarded, speeding, fatigue, defective brakes, pedestrian involved, defective pavement, limited view, and rain. Regarding the temporal effects, results indicate that it is more likely to sustain secondary collisions and severe injuries at night.

Conclusions: This study fully investigates the contributing factors to secondary collisions and estimates the safety effects of secondary collisions after adjusting for the endogeneity effects and shows the advantage of using SEMs in exploring the structural relationship between risk factors and safety indicators. Understanding the causes and impacts of secondary collisions can help transportation agencies and automobile manufacturers develop effective injury prevention countermeasures.     

The predictive validity of safety climate

PROBLEM: Safety professionals have increasingly turned their attention to social science for insight into the causation of industrial accidents. One social construct, safety climate, has been examined by several researchers [Cooper, M. D., & Phillips, R. A. (2004). Exploratory analysis of the safety climate and safety behavior relationship. Journal of Safety Research, 35(5), 497-512; Gillen, M., Baltz, D., Gassel, M., Kirsch, L., & Vacarro, D. (2002). Perceived safety climate, job Demands, and coworker support among union and nonunion injured construction workers. Journal of Safety Research, 33(1), 33-51; Neal, A., & Griffin, M. A. (2002). Safety climate and safety behaviour. Australian Journal of Management, 27, 66-76; Zohar, D. (2000). A group-level model of safety climate: Testing the effect of group climate on microaccidents in manufacturing jobs. Journal of Applied Psychology, 85(4), 587-596; Zohar, D., & Luria, G. (2005). A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. Journal of Applied Psychology, 90(4), 616-628] who have documented its importance as a factor explaining the variation of safety-related outcomes (e.g., behavior, accidents). Researchers have developed instruments for measuring safety climate and have established some degree of psychometric reliability and validity. The problem, however, is that predictive validity has not been firmly established, which reduces the credibility of safety climate as a meaningful social construct. The research described in this article addresses this problem and provides additional support for safety climate as a viable construct and as a predictive indicator of safety-related outcomes. METHODS: This study used 292 employees at three locations of a heavy manufacturing organization to complete the 16 item Zohar Safety Climate Questionnaire (ZSCQ) [Zohar, D., & Luria, G. (2005). A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. Journal of Applied Psychology, 90(4), 616-628]. In addition, safety behavior and accident experience data were collected for 5 months following the survey and were statistically analyzed (structural equation modeling, confirmatory factor analysis, exploratory factor analysis, etc.) to identify correlations, associations, internal consistency, and factorial structures. RESULTS: Results revealed that the ZSCQ: (a) was psychometrically reliable and valid, (b) served as an effective predictor of safety-related outcomes (behavior and accident experience), and (c) could be trimmed to an 11 item survey with little loss of explanatory power. IMPACT ON INDUSTRY: Practitioners and researchers can use the ZSCQ with reasonable certainty of the questionnaire's reliability and validity. This provides a solid foundation for the development of meaningful organizational interventions and/or continued research into social factors affecting industrial accident experience.     

A cross-validation of safety climate scale using confirmatory factor analytic approach

PROBLEM: Given the lack of a consistent factor structure of safety climate, this study tested the stability of a factor structure of a safety climate scale developed through an extensive literature review using confirmatory factor analytic approach and cross-validation. METHODS: A cross-sectional sample of 722 U.S. grain industry workers participated in the questionnaire survey. RESULTS: The safety climate scale developed through the generation of an item pool based on a table of specifications, subsequent scientific item reduction procedures, reviews from experts, and pilot test yielded adequate reliabilities for each dimension. Each item showed proper discriminative power based on both internal and external criteria. Criterion validity was manifested by the significant positive correlation of the scale with five criteria. Evidence of construct validity was provided by both exploratory and confirmatory factor analyses. Both calibration and validation samples supported a consistent factor structure. Management commitment and supervisor support were found to influence other dimensions of safety climate. DISCUSSION: This study provides an insight into the primary reason why previous attempts have failed to find a consistent factor structure of safety climate: No specification of the influence of management commitment and supervisor support on other dimensions of safety in their models. IMPACT ON INDUSTRY: The findings of this study provide a framework upon which accident prevention efforts can be effectively organized and underscore the importance of management commitment and supervisor support as they affect employee safety perceptions.     

基于结构方程模型的安全管理体系评估与实证分析

为科学评价不同行业安全管理体系的适用性,基于大量文献的统计分析,提出了评估安全管理体系的2个层级指标,并通过构建结构方程模型（SEM）来分析各评价指标的关系,根据模型变量间的效应系数计算出各级指标的权重系数。利用第三方机构评估某房地产企业安全管理体系的原始数据,对比分析使用本文建立的评价指标得到的评估结果,结合理论分析,验证了该评价指标的有效性和适用性,可以合理评估不同行业安全管理体系的水平。     

ACT method for safety training: An approach to improve on-site safety performance

Unsafe behavior is one of the main causes limiting the improvement of on-site safety performance. Safety training is an important means of preventing unsafe behavior. With changes in the scale of operations and employee characteristics, traditional training methods have largely failed to meet the practical demands. Therefore, to improve the effectiveness of safety training, this paper analyzes the shortcomings of the current training methods, demonstrates the potential value of accident cases for improving the training effect, and the advantages of 24Model for case analysis in safety training. Subsequently, this paper constructs a systematic training system with Accident-Cause-Training (ACT) as the training relationship chain, which runs the accident cases throughout the training process, 24Model is utilized to trace the unsafe behaviors that lead to accidents from the perspectives of organizational and individual level, and the training content is established according to the analysis results. This paper also conducts a case study to verify the operability of the ACT method, specifically, a training programme for limited space operations at a national-level oil and gas storage and transportation company is designed and implemented. Finally, by comparing the similarities and differences between the ACT method and other training methods from various perspectives, the universality and participation of the ACT method are proved, and the development trend of the ACT method is also discussed. It is believed that the proposed ACT method could enrich the types of safety training methods and provide an effective and scientific tool to enhance the safety performance of field operations.     

Empirical investigation of construction safety management activities and performance in Australia

The construction industry seems to suffer from a general inability to manage workplace health and safety to a level where an achieved improvement in safety performance by a way of pro-active measures can result in zero accidents. This paper investigates the effectiveness of safety management activities as currently adopted by Australian contracting organisations. A safety management survey has been conducted of contracting organisations operating in the State of Queensland, Australia. Based on a research model depicting statistical analysis techniques, a safety management index reflecting the intensity of level of safety management activities has been developed to provide a means whereby individual organisations can be assessed and graded on their safety management commitment and attitudes. The paper reports on a detailed empirical analysis carried out to examine the relationship between the intensity of safety management commitment and the overall safety performance, pro-activeness and record.     

基于结构方程模型的地铁乘客安全行为影响因素分析

为了研究地铁乘客安全行为的影响因素,通过对北京、上海、广州、深圳等城市的地铁乘客的多项安全指标的抽样调查,建立了关于乘客安全行为的结构方程模型,研究了影响地铁乘客安全行为的主要因素。结果表明:良好的地铁安全氛围能有效提高乘客的安全知识水平、安全动机、安全心理水平、安全参与行为水平;安全参与行为水平同时受到乘客安全知识水平和乘客接受安全培训状况的影响,其中,乘客安全知识水平的高低取决于乘客接受安全培训状况;安全服从行为则与安全动机存在较强的正相关关系;乘客的安全心理水平只跟地铁安全氛围有关,安全氛围越好,乘客安全心理水平越高,安全知识作为中介变量同时影响着安全氛围与安全参与行为、安全培训与安全参与行为、安全氛围与安全动机以及安全培训与安全动机之间的关系,提高乘客安全知识水平是提高乘客安全行为水平的重要途径。     

Age differences in safety attitudes and safety performance in Hong Kong construction workers

PROBLEM: Safety in the construction industry is a major issue in Hong Kong, representing about 46% of all occupational injuries in 1998. This study explored linear and curvilinear relations between age and safety performance (accident rates and occupational injuries), as well as safety attitudes, in construction workers in Hong Kong. METHOD: A Chinese version of the Safety Attitude Questionnaire (SAQ by Donald & Canter) was developed and administered to a sample of Chinese construction workers (N=374, 366 males, 8 females) from 27 construction sites. RESULTS: Accident rates were not related to age. Occupational injuries were related to age in a curvilinear manner, with injuries at first increasing with age, then decreasing. Two safety attitude scales were related to age with older workers exhibiting more positive attitudes to safety. If age and tenure are controlled, some attitude scales are predictors of safety performance. IMPACT ON INDUSTRY: Management/supervisors, team leaders, and workers are all responsible for safety, and any negative bias toward older construction workers is unfounded.     

基于结构方程模型的煤矿企业应急救援能力评价研究

根据事前、事中和事后三个环节的预防、监测、控制和恢复等能力的研究,分析了煤矿企业应急救援能力评价指标间的作用关系。根据煤矿企业应急救援能力评价指标的选取过程,提出了评价指标之间关系的理论假设;通过实证分析,运用结构方程模型验证了提出的理论假设,实证结果表明每个评价指标对煤矿企业应急救援能力具有不同的影响方式和不同的影响程度。据此,给出了提升煤矿企业应急救援能力的建议。     

Development of a scale for assessing the organization's safety performance based fuzzy ANP

Traditionally, safety performance is assessed through statistical analyses of incident data, known as lagging indicators. Lagging indicators are not useful since the goal of founding safety management systems is the continuous improvement. In this study, a scale was established and validated to assess the elements that affect the organization safety. The fuzzy analytic network process (FANP) procedure was applied to weigh the elements and to reveal the influence of various structures for the proposed scales on the safety performance indicator. A 120-item scale was developed following the interview process to examine the factors that affect safety performance. Based on the face validity results, eight items were removed. The mean value of the instrument's validity index was 0.79. According to the FANP results, the organizational factor had the highest weight load of 0.465, whereas the environmental factor, with a weight of 0.209, had the least effect on the organization's safety performance index. An analysis of the study data showed that the designed scale can be used as an objective and simple tool to evaluate the factors that affect safety performance.     

Predicting safety culture: the roles of employer, operations manager and safety professional

Introduction: This study explores predictive factors in safety culture. Method: In 2008, a sample 939 employees was drawn from 22 departments of a telecoms firm in five regions in central Taiwan. The sample completed a questionnaire containing four scales: the employer safety leadership scale, the operations manager safety leadership scale, the safety professional safety leadership scale, and the safety culture scale. The sample was then randomly split into two subsamples. One subsample was used for measures development, one for the empirical study. Results: A stepwise regression analysis found four factors with a significant impact on safety culture (R² = 0.337): safety informing by operations managers; safety caring by employers; and safety coordination and safety regulation by safety professionals. Safety informing by operations managers (ß = 0.213) was by far the most significant predictive factor. Impact on industry: The findings of this study provide a framework for promoting a positive safety culture at the group level.     

Integration of process safety engineering and fire protection engineering for better safety performance

Since the inception of the process industries, there have been a great number of process incidents causing significant loss of life and property damage. Even the establishment and implementation of a series of rigorous regulations has not prevented the occurrence of process incidents. In order to protect people, property and the environment a more robust safety program is needed and the safety performance of process industries must continue to improve. In this work, the common ground and the unique characteristics of process safety engineering (PSE) and fire protection engineering (FPE) is reviewed to demonstrate the potential benefits of unifying the two fields or improving the coordination between them to create a more robust safety program, thereby enhancing the safety performance of process industries. Recommendations are made to facilitate and encourage continued discussion and efforts toward the integration of process safety engineering and fire protection engineering.     

An empirical investigation of safety climate in container terminal operators

INTRODUCTION: This study empirically evaluates the crucial dimensions of safety climate from a container terminal operator's perspective, specifically in the Port of Kaohsiung. METHOD: Seven safety climate dimensions are identified based on factor analysis: (a) supervisor safety, (b) job safety, (c) coworkers' safety, (d) safety management, (e) safety training, (f) safety rules and special safety training, and (g) job pressure. Cluster analysis is subsequently performed to form worker groups. Respondents are categorized into four groups on the basis of their factor scores in safety climate dimensions: (a) safety management oriented terminal operators, (b) safety training and management oriented terminal operators, (c) job safety and supervisor safety oriented terminal operators, and (d) coworkers' safety oriented terminal operators. RESULTS: Results indicate that safety training and management oriented terminal operators have the best safety performance, followed by safety management oriented terminal operators, job safety and supervisor safety oriented terminal operators, and coworkers' safety oriented terminal operators. Theoretical and practical implications of the research findings are discussed.     

Exploration of relationships between safety performance and unsafe behavior in the Chinese oil industry

Safety performance is comprised of two components, safety compliance and safety participation. However, relationships between safety performance and unsafe behavior have not been thoroughly investigated. In this work, scales for safety compliance and safety participation were revised for use in the oil industry, and job burnout scale was developed on the basis of the Maslach Burnout Inventory-General Survey (MBI-GS). A structural equation model was then employed to investigate the interactions of these factors for 238 front-line oil workers from the PetroChina Huabei Oilfield Company in China. From the results, it was determined that workers' unsafe behavior could not be reduced significantly solely from these two dimensions of safety performance. Compared with safety participation, safety compliance was found to have a greater influence on unsafe behavior. However, job burnout was found to be a significant moderator between these two components and unsafe behavior. Furthermore, it was determined that oil workers' occupational psychological health conditions must be taken into account to improve organizational safety management and reduce workers’ unsafe behavior.     

Exploring the perceived influence of safety management practices on project performance in the construction industry

Although safety management is known to be vital to construction projects, very few studies have solicited views from construction practitioners about their perceptions of which safety management practices (SMPs) are important to construction projects and related to project performance. An empirical study was undertaken in Hong Kong in order to shed more light on this topic. In the study, the importance levels of 15 popular SMPs and five project performance criteria were rated by 232 respondents. An exploratory factor analysis was conducted, and three SMP categories - information, process, and committees - were extracted. Of these three categories, safety management process was perceived by the construction practitioners as being the most important, followed by safety management information and committees. Moreover, the effect of the three SMP categories on a composite project performance variable was tested using hierarchical regression analysis. Results indicate that the “information” and “committees” categories were associated with project performance positively and significantly. One of the major conclusions of the study is that the construction industry has paid relatively less attention to safety management committees, which were empirically analyzed as having a strong perceived impact on project performance. In order to improve project performance, construction companies should promote the criticality of safety management committees.     

飞行员驾驶水平、管理能力和身心素质对安全绩效的影响关系研究

为提高飞行员安全绩效,运用结构方程模型探讨了驾驶水平、管理能力和身心素质三者对安全绩效的影响程度。结果表明,驾驶水平、管理能力和身心素质对安全绩效影响的标准化路径系数分别为0.20,0.22和0.17。飞行员管理能力对安全绩效的影响程度最大,其次是驾驶水平,身心素质对安全绩效的影响程度最小。同时管理能力对驾驶水平影响的标准化路径系数为0.19,说明管理能力通过驾驶水平的中介作用对安全绩效产生间接影响。而身心素质对驾驶水平的影响不显著,身心素质不会通过影响驾驶水平间接影响安全绩效。     

Exploratory analysis of the safety climate and safety behavior relationship

Problem: Safety climate refers to the degree to which employees believe true priority is given to organizational safety performance, and its measurement is thought to provide an “early warning” of potential safety system failure(s). However, researchers have struggled over the last 25 years to find empirical evidence to demonstrate actual links between safety climate and safety performance.Method: A safety climate measure was distributed to manufacturing employees at the beginning of a behavioral safety initiative and redistributed one year later.Results: Multiple regression analysis demonstrated that perceptions of the importance of safety training were predictive of actual levels of safety behavior. The results also demonstrate that the magnitude of change in perceptual safety climate scores will not necessarily match actual changes (r=0.56, n.s.) in employee's safety behavior.Discussion: This study obtained empirical links between safety climate scores and actual safety behavior. Confirming and contradicting findings within the extant safety climate literature, the results strongly suggest that the hypothesized climate-behavior-accident path is not as clear cut as commonly assumed.Summary: A statistical link between safety climate perceptions and safety behavior will be obtained when sufficient behavioral data is collected.Impact on Industry: The study further supports the use of safety climate measures as useful diagnostic tools in ascertaining employee's perceptions of the way that safety is being operationalized.     

A comparative analysis of safety management and safety performance in twelve construction projects

IntroductionSafety management in construction is complicated due to the complex “nature” of the construction industry. The aim of this research was to identify safety management factors (e.g., risk management and site management), contextual factors (e.g., organisational complexity) and combinations of such factors connected to safety performance. Method: Twelve construction projects were selected to compare their safety management and safety performance. An analytical framework was developed based on previous research, regulations, and standards where each management factor was defined. We employed qualitative comparative analysis (QCA) to produce case knowledge, compare the cases, and identify connections between the factors and safety performance. The material collected and analyzed included, for example, construction planning documents, reports from OHS-inspections, safety indicators, and interviews with project leaders and OHS experts. Results and conclusions: The research showed that: (a) the average score on 12 safety management factors was higher among projects with high safety performance compared to projects with low safety performance; (b) high safety performance can be achieved with both high and low construction complexity and organizational complexity, but these factors complicate coordination of actors and operations; (c) it is possible to achieve high safety performance despite relatively poor performance on many safety management factors; (d) eight safety management factors were found to be “necessary” for high safety performance, namely roles and responsibilities, project management, OHS management and integration, safety climate, learning, site management, staff management, and operative risk management. Site management, operative risk management, and staff management were the three factors most strongly connected to safety performance. Practical implications: Construction stakeholders should understand that the ability to achieve high safety performance in construction projects is connected to key safety management factors, contextual factors, and combinations of such factors.     

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.