Safety management practices and safety behaviour: Assessing the mediating role of safety knowledge and motivation

Safety management practices not only improve working conditions but also positively influence employees’ attitudes and behaviours with regard to safety, thereby reducing accidents in workplace. This study measured employees’ perceptions on six safety management practices and self-reported safety knowledge, safety motivation, safety compliance and safety participation by conducting a survey using questionnaire among 1566 employees belonging to eight major accident hazard process industrial units in Kerala, a state in southern part of India. The reliability and unidimesionality of all the scales were found acceptable. Path analysis using AMOS-4 software showed that some of the safety management practices have direct and indirect relations with the safety performance components, namely, safety compliance and safety participation. Safety knowledge and safety motivation were found to be the key mediators in explaining these relationships. Safety training was identified as the most important safety management practice that predicts safety knowledge, safety motivation, safety compliance and safety participation. These findings provide valuable guidance for researchers and practitioners for identifying the mechanisms by which they can improve safety of workplace.     

The safety climate and its relationship to safety practices, safety of the work environment and occupational accidents in eight wood-processing companies

Employees continuously observe their work environment and the actions of their fellow workers and superiors, and they use such observations as a basis for the creation of cognitive models associated with safety. These models regulate their actions in the workplace and thus have an influence on safety. This study attempts to define the structure of the safety climate as perceived by workers and the correlations between the safety climate, on the one hand, and the safety practices of the company, the safety level of the work environment and occupational accidents on the other. The variables used in this study were the same as those employed in two previous Finnish safety climate studies carried out in the plywood industry, shipyards, the forestry industry, building construction and stevedoring. The safety climate was measured by means of a questionnaire. Workers from four sawmills, two plywood factories and two parquet plants participated. The total number of participants was 508 in 1990 and 548 in 1993. The variables formed four factors, whose contents and reliabilities closely resembled the results obtained in the earlier studies. These results indicate that the structure of the safety climate among Finnish workers is quite stable. The safety climate correlated both with the safety level of the work environment and with the safety practices of the company, but the correlation between the safety climate and the safety of the work environment was stronger. This result differs from those of the previous studies, in which the safety climate was defined specifically in terms of an individual’s perceptions of the safety practices of the company and of the behavior of other employees. The two safety climate factors that described a company’s attitudes to safety and its safety precautions correlated with the accident rates. The better the safety climate of the company was, the lower was the accident rate. Four companies with an accident rate below the average for the wood-processing industry had a better safety climate than four similar companies with an accident rate above the average.     

Human error risk management for engineering systems: a methodology for design, safety assessment, accident investigation and training

The objective of this paper is to tackle methodological issues associated with the inclusion of cognitive and dynamic considerations into Human Reliability methods. A methodology called Human Error Risk Management for Engineering Systems is presented that offers a ‘roadmap’ for selecting and consistently applying Human Factors approaches in different areas of application and contains also a ‘body’ of possible methods and techniques of its own. Two types of possible application are discussed to demonstrate practical applications of the methodology. Specific attention is dedicated to the issue of data collection and definition from specific field assessment.     

Accident under-reporting among employees: Testing the moderating influence of psychological safety climate and supervisor enforcement of safety practices

We examined accident under-reporting with data from 425 employees employed in 5 industries with above average risk for employee injuries. We expected that rates for unreported accidents would be higher than rates for reported accidents; and that organizational safety climate and perceptions of supervisor enforcement of safety policies would moderate the relationship between unreported accidents and reported accidents. Results showed that the number of unreported accidents was significantly higher than the number of reported accidents. There was an average of 2.48 unreported accidents for every accident reported to the organization. Further, under-reporting was higher in working environments with poorer organizational safety climate or where supervisor safety enforcement was inconsistent. We discuss the implications of these findings for improving accident under-reporting and occupational safety in the workplace.     

危险化学品安全管控与应急救援

危险是危险化学品的天然特征,安全是危险化学品永恒的主题。每一次危险化学品的安全事故,既是其本质特征使然,也与外部环境密切相关,往往在其偶发性中包含着必然性。只有在充分了解、掌握其本质特征基础上,合理设置外部条件,使其始终处于可控的安全状态,并做好安全管控和应急救援的各项准备工作,才是保障安全、防控灾害的根本方法。血的教训不可忘,要想悲剧不再重演,必须采用系统思维进行体系建设,利用先进信息通讯技术采用"互联网+"模式建立全国统一的全天候的实时动态监控体系,在规范管理、防患未然的同时,为应急救援工作提供准确信息和合理救援方案。     

危险化学品安全管控与应急救援

危险是危险化学品的天然特征,安全是危险化学品永恒的主题。每一次危险化学品的安全事故,既是其本质特征使然,也与外部环境密切相关,往往在其偶发性中包含着必然性。只有在充分了解、掌握其本质特征基础上,合理设置外部条件,使其始终处于可控的安全状态,并做好安全管控和应急救援的各项准备工作,才是保障安全、防控灾害的根本方法。血的教训不可忘,要想悲剧不再重演,必须采用系统思维进行体系建设,利用先进信息通讯技术采用"互联网+"模式建立全国统一的全天候的实时动态监控体系,在规范管理、防患未然的同时,为应急救援工作提供准确信息和合理救援方案。     

Human and organizational biases affecting the management of safety

Management of safety is always based on underlying models or theories of organization, human behavior and system safety. The aim of the article is to review and describe a set of potential biases in these models and theories. We will outline human and organizational biases that have an effect on the management of safety in four thematic areas: beliefs about human behavior, beliefs about organizations, beliefs about information and safety models. At worst, biases in these areas can lead to an approach where people are treated as isolated and independent actors who make (bad) decisions in a social vacuum and who pose a threat to safety. Such an approach aims at building barriers and constraints to human behavior and neglects the measures aiming at providing prerequisites and organizational conditions for people to work effectively. This reductionist view of safety management can also lead to too drastic a strong separation of so-called human factors from technical issues, undermining the holistic view of system safety. Human behavior needs to be understood in the context of people attempting (together) to make sense of themselves and their environment, and act based on perpetually incomplete information while relying on social conventions, affordances provided by the environment and the available cognitive heuristics. In addition, a move toward a positive view of the human contribution to safety is needed. Systemic safety management requires an increased understanding of various normal organizational phenomena - in this paper discussed from the point of view of biases - coupled with a systemic safety culture that encourages and endorses a holistic view of the workings and challenges of the socio-technical system in question.     

Scale development of safety management system evaluation for the airline industry

The airline industry relies on the implementation of Safety Management System (SMS) to integrate safety policies and augment safety performance at both organizational and individual levels. Although there are various degrees of SMS implementation in practice, a comprehensive scale measuring the essential dimensions of SMS is still lacking. This paper thus aims to develop an SMS measurement scale from the perspective of aviation experts and airline managers to evaluate the performance of company's safety management system, by adopting Schwab's (1980) three-stage scale development procedure. The results reveal a five-factor structure consisting of 23 items. The five factors include documentation and commands, safety promotion and training, executive management commitment, emergency preparedness and response plan and safety management policy. The implications of this SMS evaluation scale for practitioners and future research are discussed.     

Plant functional modelling as a basis for assessing the impact of management on plant safety

A major objective of the present work is to provide means for representing a chemical process plant as a socio-technical system, so as to allow hazard identification at a high level in order to identify major targets for safety development. The main phases of the methodology are: (1) preparation of a plant functional model where a set of plant functions describes coherently hardware, software, operations, work organization and other safety related aspects. The basic principle is that any aspect of the plant can be represented by an object based upon an Intent and associated with each Intent are Methods, by which the Intent is realized, and Constraints, which limit the Intent. (2) Plant level hazard identification based on keywords/checklists and the functional model. (3) Development of incident scenarios and selection of hazardous situation with different safety characteristics. (4) Evaluation of the impact of management on plant safety through interviews. (5) Identification of safety critical ways of action in the management system, i.e. identification of possible error- and violation-producing conditions.     

A system dynamics approach for modeling construction workers’ safety attitudes and behaviors

Construction accidents are caused by an unsafe act (i.e., a person's behavior or activity that deviates from normal accepted safe procedure) and/or an unsafe condition (i.e., a hazard or an unsafe mechanical or physical environment). While there has been dramatic improvement in creating safer construction environments, relatively little is known regarding the elimination of construction workers’ unsafe acts. To address this deficiency, this paper aims to develop a system dynamics (SD)-based model of construction workers’ mental processes that can help analyze the feedback mechanisms and the resultant dynamics regarding the workers’ safety attitudes and safe behaviors. The developed model is applied to examine the effectiveness of three safety improvement policies: incentives for safe behaviors, and increased levels of communication and immersion in accidents. Application of the model verifies the strong potential of the developed model to provide a better understanding of how to eliminate unsafe acts, and to function as a robust test-bed to assess the effectiveness of safety programs or training sessions before their implementation.     

Operator error and system deficiencies: Analysis of 508 mining incidents and accidents from Queensland, Australia using HFACS

Historically, mining has been viewed as an inherently high-risk industry. Nevertheless, the introduction of new technology and a heightened concern for safety has yielded marked reductions in accident and injury rates over the last several decades. In an effort to further reduce these rates, the human factors associated with incidents/accidents needs to be addressed. A modified version of the Human Factors Analysis and Classification System was used to analyze incident and accident cases from across the state of Queensland to identify human factor trends and system deficiencies within mining. An analysis of the data revealed that skill-based errors were the most common unsafe act and showed no significant differences across mine types. However, decision errors did vary across mine types. Findings for unsafe acts were consistent across the time period examined. By illuminating human causal factors in a systematic fashion, this study has provided mine safety professionals the information necessary to reduce mine incidents/accidents further.     

Development of road safety performance indicators for trauma management in Europe

Trauma management (TM) covers two types of medical treatment: the initial one provided by Emergency Medical Services (EMS) and a further one provided by permanent medical facilities. There is a consensus in the professional literature that to reduce the severity and the number of road crash victims, the TM system should provide rapid and adequate initial care of injury, combined with sufficient further treatment at a hospital or trauma centre. Recognizing the important role of TM for reducing road crash injury outcome, it was decided, within the EU funded SafetyNet project, to develop road safety performance indicators (SPIs) which would characterize the level of TM systems’ performance in European countries and enable country comparisons.     

Routes to failure: analysis of 41 civil aviation accidents from the Republic of China using the human factors analysis and classification system

The human factors analysis and classification system (HFACS) is based upon Reason's organizational model of human error. HFACS was developed as an analytical framework for the investigation of the role of human error in aviation accidents, however, there is little empirical work formally describing the relationship between the components in the model. This research analyses 41 civil aviation accidents occurring to aircraft registered in the Republic of China (ROC) between 1999 and 2006 using the HFACS framework. The results show statistically significant relationships between errors at the operational level and organizational inadequacies at both the immediately adjacent level (preconditions for unsafe acts) and higher levels in the organization (unsafe supervision and organizational influences). The pattern of the 'routes to failure' observed in the data from this analysis of civil aircraft accidents show great similarities to that observed in the analysis of military accidents. This research lends further support to Reason's model that suggests that active failures are promoted by latent conditions in the organization. Statistical relationships linking fallible decisions in upper management levels were found to directly affect supervisory practices, thereby creating the psychological preconditions for unsafe acts and hence indirectly impairing the performance of pilots, ultimately leading to accidents.     

The effects of error management climate and safety communication on safety: A multi-level study

Work in the construction industry is considered inherently dangerous, despite the technological improvements regarding the safety of work conditions and equipment. To address the urgent need to identify organizational predictors of safety performance and outcomes among construction workers, the present study examined multi-level effects of two important indicators of safety climate, namely contractor error management climate and worker safety communication, on safety behavior, injury, and pain among union construction workers. Data were collected from 235 union construction workers employed by 15 contractors in Midwest and Northwest regions of the United States. Results revealed significant main effects for safety communication and error management climate on safety behaviors and pain, but not on injuries. Our findings suggest that positive safety communication and error management climate are important contributors to improving workplace safety. Specific implications of these results for organizational safety research and practice are discussed.     

After-action reviews: A venue for the promotion of safety climate

This study investigated the role of after-action reviews on perceptions of safety climate at the group and organizational levels. Moderated and mediated regression analyses of data from 67 firefighting crews suggest that after-action review frequency positively influenced both levels of safety climate. Safety-oriented group norms fully mediated the relationship between after-action review frequency and group-level safety climate. Fire-station busyness moderated the relationship between after-action review frequency and organizational-level safety climate, such that the relationship was non-existent for highly busy stations. These findings suggest that after-action reviews constitute a specific venue through which managers can promote safety climate in high-risk environments.     

Early warning and prediction of flight parameter abnormalities for improved system safety assessment

It is widely accepted that human error is a major contributing factor in aircraft accidents. The early detection of a subsystem abnormality that is developing during flight is potentially important, because the extra time before an alert range is reached may improve the crew's situation awareness. The flight crew may thus consider and try more options for dealing with the failure situation. Robust numerical algorithms and techniques are proposed for rapid recognition of faulty situations, which have the potential for such early detection. The warning system includes a model-based multi-step ahead predictor, which provides predictive information on some flight critical parameters. A key feature of the proposed techniques is that it takes advantage of the on-board information redundancy, computer technology and graphics displays, uses the already available measurements and hence requires only input–output processing for implementation in on-board computers. This is an important aspect when considering the testability and certificability of the software implementation. The system is tested on a simulated typical landing approach scenario of a civil aircraft using the RCAM¹ benchmark.     

Sociotechnical systems, risk management, and public health: comparing the North Battleford and Walkerton outbreaks

Accidents in different complex sociotechnical systems are rarely compared using the same theoretical framework for risk management. We conducted a comparative analysis of two Canadian public health disasters involving drinking water distribution systems, the North Battleford Cryptosporidium parvum outbreak in April 2001 and the Walkerton E. coli outbreak in May 2000. Both accidents resulted from a complex interaction between all levels of a complex sociotechnical system. However, the low-level physical and individual factors differed in the two cases, whereas, the high-level governmental and regulatory factors tended to be the same. These findings may have implications for the design of public policies to minimize risk in complex sociotechnical systems.     

The life cycle of the policy for preventing road accidents: an empirical example of the policy for reducing drunk driving crashes in Taipei

The purpose of this paper is to examine the temporal variation of the effect of preventive policy on reducing traffic accidents. The life cycle theory was introduced to describe the safety effect of the intervening policy over time. Poisson regression models with dummy-based and time-based specifications were used to evaluate the effect of an intervening policy over an observation period following its implementation. The policy of "Criminal sanction for drunk driving (CSFDD)" in Taipei city was evaluated as an empirical example to determine whether the temporal variation of safety effect happened to the CSFDD policy. The study results showed that alcohol consumption, arresting the drunk driving offenders, and the implementation of the CSFDD were the significant factors affecting the rate of occurrence of fatal accidents involving drunk driving. The effect of the CSFDD policy appeared to be a rapid initial response followed by a lower rate of decay. The existence of the life cycle implies that employing different observation periods following the implementation of a specific policy to evaluate its performance may obtain different effects. The results of this study are crucial for policy evaluation. The effects of safety policy should be carefully interpreted in order to avoid misleading the relevant authorities in coming to the wrong conclusions and as such make the wrong decisions.     

Integrating RAMS engineering and management with the safety life cycle of IEC 61508

This article outlines a new approach to reliability, availability, maintainability, and safety (RAMS) engineering and management. The new approach covers all phases of the new product development process and is aimed at producers of complex products like safety instrumented systems (SIS). The article discusses main RAMS requirements to a SIS and presents these requirements in a holistic perspective. The approach is based on a new life cycle model for product development and integrates this model into the safety life cycle of IEC 61508. A high integrity pressure protection system (HIPPS) for an offshore oil and gas application is used to illustrate the approach.     

Trending of equipment inoperability for commercial aircraft

The Safety Performance Analysis System (SPAS) is a Web-based analytical tool, or rather a database system, that is being fielded by the Federal Aviation Administration (FAA). It is intended to provide the FAA’s Aviation Safety Inspectors (ASIs) with the means to evaluate and control appropriate surveillance levels for aircraft operators. The SPAS enables qualitative trend analysis to be performed at the national, regional, and district levels. This will permit the system to be more sensitive to particular areas of concern for a given region. For example, inspectors particularly desire a tool to help them recognize problems which are occurring in the fleet. Especially desirable is a tool that could do so automatically by searching for trends and alerting the relevant inspectors.The Service Difficulty Reporting (SDR) system, one of the SPAS databases, provides FAA inspectors with information related to aircraft equipment inoperability, such as in-service difficulties, malfunctions, and defects. The SDR data provide information for planning, directing, controlling, and evaluating certain assigned safety and maintenance programs. This paper presents previous SDR trending results for DC-9 operators with heterogeneous fleets, but now uses data from two specific operators with homogenous fleets consisting entirely of 737 aircraft. This new research is an extension of the previous SDR forecasting research, but now provides more meaningful information, as the DC-9 aircraft data were composed of numerous operators with mixed fleets and differing operating and maintenance policies. Multiple regression and neural network models are the principal two forecasting methods examined. A population modeling concept, or data grouping strategy, appears to be an effective technique for trending SDRs for operators of either heterogeneous and homogeneous fleets. The forecasting methods presented in this paper offer technical enhancements for SDR trending compared to the current qualitative method of visual observation of graphical plots.