Safety Management Performance Research Articles

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research topic

Although substantial progress in safety management performance has been made in the construction industry, continuing fatalities and injuries at workplaces hinder sustainable development of this labor-intensive industry. Many machine learning approaches using different types of data such as text, image, video, and audio were adopted for safety risk analysis at construction sites. Our paper aimed to implement a hybrid review of construction safety research based upon machine learning. This hybrid review focused on various attributes from three perspectives: Nature of dataset, machine learning approach, and research topic. After the review of individual attributes, intra-relationships between attributes in each perspective and inter-relationships between attributes across the three perspectives were determined. According to risk recognition, risk prediction, and risk control, feasible research paths were developed from both intra-relationships and inter-relationships between multiple attributes for reference in future studies. Finally, gaps and opportunities were discussed in detail for research agendas on this subject. This hybrid review contributes to outlining the framework of construction safety management based upon machine learning. It is able to provide new entrants with a systematic idea of promising research trends for the future. Research findings are helpful for academia and industry to fill in the gaps between study and practice in the area of construction safety, in order to assist in sustainable development of the construction industry by use of machine learning.

Assessing the Degradation of Safety Management Performance in Large Construction Projects: An Investigation and Decision Model Based on Complex Network Modeling

Modern safety control theory suggests that the accumulation of safety management defects at the organizational level can lead to a degradation in the overall safety management performance. This problem is exacerbated by the increasing complexity of safety management in large construction projects. The theoretical frameworks proposed by existing studies can provide generalized guidance for identifying safety management defects, but they are not flexible enough to address the complexity of a safety management system (SMS) in specific large construction projects. This study proposed an investigation and decision model based on a complex network model of SMSs. The main purpose was to accurately assess the degradation of safety management performance through the comprehensive identification of safety management defects for large construction projects. The functional components and their interactions in SMSs were graphically represented in a complex network using the fuzzy DEMATEL technique. Based on this, deep-seated safety management defects were identified by tracing the path of influence between the functional components and their roots. Furthermore, the results of this identification were used to support the assessment of the degradation of the safety performance of the overall SMS. The proposed model was verified with a large-scale wastewater treatment plant construction project in Lanzhou City, China. The degradation of the functional components could be presented in a complex visual network map to facilitate an understanding of the weak points or risk-sensitive areas throughout the SMS. Especially in the case of false safety perceptions, deep-seated safety management defects can be identified in time to prevent a sudden collapse of the SMS through early warnings. In addition, it also facilitates timely short-term improvement strategies and systematic long-term improvement strategies for long-term sustainability and increased resilience.

Safety BIM intelligent modeling analysis of prestressed concrete continuous girder bridge construction scene

BIM intelligent modeling is used to analyze the safety of the construction scene of prestressed concrete continuous girder bridge, so as to realize the safety management of the bridge construction scene and improve the construction efficiency. The construction safety analysis system is used to analyze the binding data of construction safety, and the data is combined with the self-applicable equilibrium control and the game equilibrium control to build the construction scene safety objective function model. On this basis, combined with the control constraints of the whole life cycle, the statistical analysis regression model is used to build the scene safety analysis model based on BIM. The whole life cycle safety intelligent analysis of the construction scene is realized, and the improved particle swarm optimization algorithm is used to solve the model by adaptive differential evolution, so as to shorten the calculation time of the model. The experimental results show that the safety management performance of the proposed method is high, and the safety management evaluation grade is 285. The identification accuracy of main beam stress change is high. Under the conditions of unbalanced load, combination of unbalanced load and prestress, combination of wind load and prestress and unbalanced load, the safety analysis of upper edge stress and lower edge stress of main beam can be effectively completed, and the construction safety of prestressed concrete continuous beam bridge can be realized.

Evolution of process safety performance measurement, reporting and management

Beach Energy Limited (referred as Beach Energy or Beach) is an ASX-listed exploration and production company headquartered in Adelaide, South Australia. Founded in 1961, Beach produces oil and gas from five onshore and offshore basins across Australia and New Zealand. During its most recent growth phase, Beach added a number of assets to its portfolio that were originally developed and operated by companies with different management systems, standards and reporting requirements. Over the past 5 years Beach has been – and continues to be – on a journey of learning, developing and refining its systems and standards for reporting process safety performance and integrating these within a ‘one Beach’ philosophy. This paper describes the current stage of this evolution in measuring, reporting and managing process safety performance at Beach, presents some of the key learnings to date, in addition to outlining the next steps Beach is taking on this journey. The paper covers the following: (1) experience with IOGP RP 456 Tier KPI model and current main KPIs in use; (2) application to projects, drilling campaigns and operating assets; (3) challenges in gathering data and event classification; (4) importance of getting safety critical equipment selection right; (5) communicating large and complex KPIs to a varied audience; (6) learning and improving process safety performance and systems based on KPIs; (7) new approaches to reporting health of process safety barriers aligned to IOGP RP544 categories using simplified bowtie Major Accident Event dashboards; and (8) integration of process safety management within the Beach Operations Excellence Management System. The key conclusions are that measuring process safety performance requires dedicated effort and consensus across all stakeholders on the most appropriate way to measure performance. Reporting needs a positive and collaborative culture to have the right impact. Managing performance must be based on objective evidence and careful analysis of the data. Achieving effective and efficient process safety measurement, reporting and management is a multi-year journey of continual improvement.

Applying Association Rule Mining to Explore Unsafe Behaviors in the Indonesian Construction Industry

The frequency of work accidents in construction projects is relatively high. One contributing factor to work accidents is unsafe behavior by workers at construction sites. In Indonesia, this is the first study to investigate 2503 instances of unsafe behavior that occurred across Indonesian construction projects in relation to their attributes to obtain insightful knowledge by using the association rule mining (ARM) method. Association rule mining was used to explore the database. As a result, two consolidated rules were obtained. The most frequent unsafe behaviors were workers putting tools and materials in random places, workers not attaching safety lines at provided places, and workers moving work tools and materials in ways that were not in accordance with procedures. These unsafe behaviors were associated with accident types of falling, and being struck or cut by items, as well as violations of Manpower and Transmigration Ministerial Regulation 01/1980, and Manpower Ministerial Regulation 09/2016. The ARM results were evaluated with a reliability evaluation method before being validated by construction safety experts. Hence, the findings are reliable to be used as guideline information for safety trainers to prioritize related safety trainings and for safety inspectors when carrying out inspections on construction sites. As a result, safety management and safety performance can increase significantly.

간호대학생의 환자안전관리 수행자신감과 의사소통 명확성이 환자안전관리 행위에 미치는 영향

Objectives This study was to investigate the influence of confidence in performance of patient safety management and clarity of communication on behavior of patient safety management by nursing students.
 Methods Data were collected using structured questionnaires from 122 grade 4 with clinical practice experience enrolled in nursing departments at 2 universities located in Chungbuk and kangwon. For the collected data, descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and hierarchical regression analysis using SPSS/WIN 26.0 statistical program.
 Results Confidence in performance of patient safety management had a statistically significant positive correlation with clarity of communication (r=.645, p<.001) and behavior of patient safety management (r=.694, p<.001). Clarity of communication also had a statistically significant positive correlation with behavior of patient safety management (r=.833, p<.001). As a result of hierarchical regression analysis, the factors significantly influencing the behavior of patient safety management were Confidence in performance of patient safety management (β=.27, p<.001) and clarity of communication (β=.65, p<.001), with a total explanatory power of 75.2%.
 Conclusions In order to promote the behavior of patient safety management nursing students, it is necessary to develop an educational program can improve clarity of communication and confidence in performance of patient safety management. Also, it is necessary to enhance clarity of communication and confidence in performance of patient safety management by increasing immersion attitude and activeness in relation to the experience through the actual simulation practice class.

Avaliação de indicadores de segurança em indústrias de altor risco no contexto da Engenharia de Resiliência: uma revisão sistemática da literatura

Abstract Measuring organizational safety performance is critical in managing production systems. This practice allows decisions to be made objectively and based on data analysis. In the study of resilience engineering applied to the safety of production systems, there is interest on the part of the scientific community and companies in identifying, in the different processes of organizations, indicators to measure resilient performance in safety management. This study aims to discuss and analyze qualitative and quantitative methods to identify the potential for resilience in safety management and support new research on resilience engineering applied to safety performance management in industries with high technological risks. The methodology used included a systematic review of national and international literature from the last ten years. The results obtained provide a critical analysis of the methods used to define safety indicators applied through resilience engineering to occupational safety management in organizations that deal with high technological risks. Qualitative methods for generating safety indicators from the perspective of Resilience Engineering have proven to be a better way, as they apply the concepts of Safety I and Safety II and early warning indicators.

Safety Management and Safety Performance Nexus: Role of Safety Consciousness, Safety Climate, and Responsible Leadership.

Drawing from social system theory, social identity theory, and social exchange theory, this study examines how safety management practices are linked with employee safety performance through safety consciousness and safety climate. Furthermore, responsible leadership is introduced as a boundary condition in the safety consciousness—safety performance and safety climate—safety performance relationships. Data were collected from employees belonging to pharmaceutical firms located in different industrial zones of Lahore, Pakistan. The support is found for full mediation of safety consciousness and safety climate for the safety management and safety performance relationships. Responsible leadership moderates the safety consciousness—safety performance and safety climate—safety performance relationships so that when the safety climate is weak or the safety consciousness is low, a high level of responsible leadership enhances safety performance.

Simulating Behavior Pattern of Key Performance Indicators to Improve Organization’s Safety Performance in Maritime Transport

Safety performance management is at the core of safety management system (SMS) in any organization. Managing organization's safety performance in maritime transport is achieved through the identification of key performance indicators (KPIs), which are used to monitor and measure safety performance. Aim of this paper is to determine how behavior pattern of key performance indicators (KPIs) in the organization, can be simulated. Methods used for this research include methods of gathering, describing, and analyzing key performance indicators data of sample organization, as well as statistics, causal modeling, and simulation. Results show behavior pattern of key performance indicators (KPIs) in the organization due to causal impact of certain key performance indicator. In conclusion, the simulation showed how causal modeling techniques can be useful to simulate behavior pattern of key performance indicators (KPIs) in the organization in order to improve organization’s safety performance.

Investigation of occupational fatigue and safety climate among nurses using the structural equation model.

Nursing is associated with many stressful situations that can lead to fatigue, reduced efficiency, and physical and mental illness. Safety climate is one of the most important indicators of safety management performance assessment that assesses employees' attitudes towards safety issues. The purpose of this study was to investigate the relationship between safety climate and occupational fatigue in nurses. This descriptive-analytical study was performed on nurses working in hospitals affiliated to Zabol University of Medical Sciences in 2019. 143 nurses were selected by the proportional sampling method and entered the study. Demographic questionnaires, Occupational Fatigue Inventory (SOFI), and Nurses' Safety Assessment Questionnaire were used for data collection. Statistical tests, including Independent T-Test, ANOVA, Mann-Whitney U, Kruskal-Wallis, and multivariate analysis of variance (MANOVA) were used to analyze the results using SPSS software version 21, and the multivariate structural equation was used for modeling. The mean scores of safety climate and occupational fatigue were 67.15±12.73 and 85.09±41.49, respectively. Job and demographic variables except for the second job (P-value = 0.065) had a significant effect on the variables of safety climate and occupational fatigue. There were also higher scores for occupational fatigue and all of its subscales in the group of women compared to the group of men. The results showed that occupational and demographic variables have significant effects on safety climate and occupational fatigue. There was a significant relationship between demographic variables of age, work experience, and education level with safety climate. There was also a significant relationship between education level, job satisfaction, satisfaction with colleagues and work experience with occupational fatigue. Therefore, paying attention to fatigue and safety climate of nurses in workplaces is recommended.

Reviewing Measuring Health And Safety Management Performance In The Construction Industry

Purpose: The accidents on construction sites not only cause fatalities but also affect project performance severely in terms of delayed completion, cost overruns, reduced quality and eventually low productivity. This paper aims to identify the various components that form the measurement of a Health and Safety management performance framework for the construction industry.
 Design/Methodology/ Approach: This paper adopts an empirical research methodology based on literature review and secondary data gathered systematically from peer-reviewed journals. Content analysis was adopted in analysing the secondary data.
 Findings: Eight components of Key Performance Indicators in measuring Health and Safety management performance were identified in the literature and they are implementation of safety regulations, leadership, safety planning, safety compliance, performance measurement, risk assessment, safety inspection, and Safety Culture.
 Research Limitation/Implication: It focuses on the measurement of a Health and Safety management performance framework for the construction industry.
 Practical Implication: Compliance with the existing health and safety laws must be monitored regularly and effectively, and breaches of them should be taken much more seriously than it is at present. Management members must champion the crusade of good health and safety practices and motivate the employees through their visible leadership by wearing personal protective equipment, whenever they are at the construction site.
 Social Implication: Health and safety education programmes should be designed such that, they would consider individual cultural aspirations to try to shape them to suit the organizational safety culture.
 Originality/Value: Identification of components that influence the measurement of the Health and Safety management performance framework were reviewed.

Performance assessment of food safety management systems in Australian apple packhouses in view of microbial control

Australian apples significantly contribute to the Australian economy and dietary requirements. Their safety is ensured by food safety management systems (FSMS) audited by commercial entities. Production environments, systems and apparent microbial risk vary, resulting in company-specific food safety practices. Holistic, objective measurement of how a company's FSMS is performing could determine if these practices are appropriate for the level of risk of contamination with foodborne pathogens. In this study, the performance of FSMS was measured in seven apple packhouses using a modified FSMS diagnostic tool (FSMS-DT). Results were compared with a previous observational study that found variable application of food safety controls and low assurance activities, to investigate the potential for improving FSMS assessment and enhancing more consistent application of controls. Overall, packhouses demonstrated high FSMS performance. Higher performance was measured in packhouses with better-designed controls and where there was higher food safety knowledge among employees. Comprehensive measurement of food safety management better identified strengths such as supportive management, systematic use of feedback to modify the FSMS, and a low level of nonconforming product. Common system weaknesses included low requirement for food safety knowledge among workers, limited validation of preventive controls, and limited use of expert knowledge for risk assessment. Results confirmed the findings in the observational study but assessment using the FSMS-DT better examined the details of the FSMS and the connections between its components, thus enabling continuous improvement. The diagnostic tool could assist the industry assess their FSMS and identify opportunities for improvement of control and assurance activities. • A modified diagnostic tool measured food safety management performance. • Australian apple packhouses showed good overall food safety management performance. • High and low scores indicated strengths and weaknesses in control respectively. • Usage of the tool could enhance internal and external audits. • Wide use of the tool could encourage consistent application of food safety controls.

Research on the relationship between enterprise safety production management mode and employees’ safety behavior based on social cognition and behavior incentive theory

The realization of high-performance production safety needs not only a scientific and reasonable production safety management mode, but also active participation of employees with safety initiative (SI). Based on social cognition theory and behavior motivation theory, this study establishes a research model of the production safety management mode and safety behavior. Based on the survey data of 467 employees from 91 enterprises, the structural equation model is used for empirical verification. The findings show that three safety production management modes of punishment, regulation and guidance will affect the level of employees’ SI, and then affect safety behavior. SI acts as an intermediary variable between the safety production management mode and safety behavior. Transformation of the enterprise safety production management mode from punishment to regulation, and then to guidance, is conducive to encouraging employees to implement initiative safety behavior (ISB), reducing passive safety behavior (PSB) and improving enterprise safety management performance.

Effects of human performance improvement and operational learning on organizational safety culture and occupational safety and health management performance

Human performance improvement (HPI) is a strategic approach for reducing and controlling human errors, while operational learning (OL) is part of the organization’s knowledge management system focusing on day-to-day operations. This study explores the influence of HPI and OL on the development of organizational safety culture, occupational safety and health (OSH) management performance in one of Indonesia’s largest oil producers. First, we conducted a focus group discussion with top management and then surveyed 260 workers. The data were then analysed using partial least squares structural equation modelling, finding that HPI has a positive significant influence on OL. Furthermore, HPI and OL have positive significant influences on OSH management performance, such that OL mediates the effects of HPI on organizational safety culture, OSH management performance. These findings imply the need to prioritize and implement measures to improve organizational safety culture, OSH management performance.

Association of Safety Climate and Chronic Multidimensional Occupational Fatigue in Nurses of Shahrekord Hospitals

Background: Nursing is associated with many stressful situations that can cause problems such as fatigue, reduced quantity and quality of patient care, as well as physical and mental illness. Safety climate is one of the most important indicators of safety management performance that evaluates employees' attitudes toward safety issues. Objectives: This study aimed to investigate the association between safety climate and occupational fatigue in nurses. Methods: This descriptive-analytical study was performed on nurses working in hospitals affiliated with Shahrekord University of Medical Sciences in 2018. We selected 216 nurses by a proportional quota sampling method. A demographic questionnaire, the nurses' safety climate questionnaire designed by the USA, and the occupational fatigue questionnaire designed by Sweden were used to collect information. The validity and reliability of the questionnaires were confirmed. Statistical tests for two independent samples, analysis of variance, Mann-Whitney, Kruskal-Wallis, and multiple regression analysis were used to analyze the data by SPSS version 21 software. Results: The results showed that the mean scores of occupational fatigue and safety climate were 72.23 ± 7.75 and 3.46 ± 0.305, respectively, and 72.23% of nurses reported occupational fatigue. There was no significant relationship between safety climate and the education level, gender, and job satisfaction (P < 0.05). Also, there was no significant relationship between occupational fatigue and job satisfaction and education (P < 0.05), but there was a significant relationship between job satisfaction and gender, age, and marital status (P < 0.05). Having a second job by nurses increased their occupational fatigue by 19%. The effect of safety climate on occupational fatigue was about -0.09. Conclusions: The findings of this study showed that demographic variables have significant effects on occupational fatigue, and increasing the safety climate can reduce employees’ occupational fatigue.

Safety Management Practices and Occupational Health and Safety Performance: An Empirical Review

his paper aims to investigate how the relationship between safety management practices and occupational health and safety performance have been examined in the literature, and which future research areas can be recommended. This systematic literature review applied the matrix method to examine major literature in safety management practices and occupational health and safety performance. A total of 24 papers in English peer-reviewed from 21 journals were selected and analyzed. The synthesis of these empirical studies revealed the following: The relationship between safety management practices and occupational health and safety performance has mostly been investigated quantitatively in many countries and sectors; management commitment to safety, safety rules, and procedures and safety training are still most commonly used safety management practices to improve occupational health and safety performance. In this study, research articles were selected only from English journals; therefore, some research articles in other languages might not be included. The findings of this study can be used to develop a safety management model to reduce the rate of injuries, accidents, and near misses in high hazardous risk organizations. Overall, the findings provide Safety management practices overview that practitioners use to manage safety performance. There are only a few systematic literature reviews available on safety management practices, occupational health, and safety performance. This paper is among the first systematic literature reviews to analyze how safety management practices have been associated with occupational health and safety performance and provide potential research avenues.

Development of Safety Star Grading Program: A Star Rating System for Express Bus Operator in Malaysia


 
 
 In 2007, the Malaysian Institute of Road Safety Research (MIROS) with engagement from numerous stakeholders has come out with a Safety, Health and Environment Code of Practice (SHE COP). The main reason for the existence of this SHE COP is because of a drastic increase in the number of crashes within the five years involving commercial vehicles especially express buses. Subsequently, in 2010, SHE COP has been gazetted as Industrial Code of Practice for Transportation Sector (ICOP 2010) under the Occupational Safety and Health Act 1994 (OSHA 1994). This ICOP 2010 can be used as guidelines to improve safety management for fleet operators. However, it has limitations to disseminate information to the public on the level of safe operation by the operators for them to make a good decision. Through some focus group discussions, a review of ICOP 2010, and a pilot test, MIROS has developed a star rating system named as Safety Star Grading Program (SSG) to provide information to the public on the level of safety management and service performance of the express bus operators. This SSG rating criteria consist of 4 elements which are safety, health, service performance, and comfort. Under the safety element, there are six sub-elements which are policy, organization, planning and implementation, evaluation, and action. Overall, this SSG was developed by referring to the basic concept of a safety management system to provide public transportation users with information to make a better decision on choosing the safest operator.
 
 

Conceptual Framework of Health and Safety Management Practices Affecting Safety Performance of Malaysian Bumiputera SMEs

The aim of this study is to identify safety performance practices affecting safety performance of Bumiputera SMEs and to develop a conceptual framework explaining the relationship of health and safety management among Bumiputera small and medium enterprise (SME) entrepreneurs in Malaysia. The study brings understanding on health and safety management and broader safety performance issues within Malaysia context by analysing the comprehensive literature. SMEs are in dire needs to implement health and safety management properly as it is estimated around 60% of workplace accidents that occurred are accounted to SME. Bumiputera SMEs can rely on health and safety management practices such as entrepreneur’s commitment, safety training, worker’s involvement in safety, safety communication, safety rules and procedures, and safety promotion policies to increase safety performance in the organization. A safety management system reflects the organization’s commitment to safety which will result in improved safety performance; thus, it is worth investigating. This study reveals that there is a need for further research to discover new insights on health and safety management and enhance safety performance among Bumiputera SME entrepreneurs in Malaysia.

Identifying Safety Performance Indicators for Risk Assessment in Civil Aviation

Safety is particularly important for civil aviation because civil aviation accident will result in serious casualties and property losses. As a core element of safety management system, safety performance management plays a more and more important role in improving safety management efficiency of service providers. A systematic establishment process of safety performance indicator system is presented. A novel risk assessment model of a department is proposed based on four types of safety performance indicators identified by system and job analysis, event tree analysis, fault tree analysis, bow-tie, and so on. A case study of risk assessment using the proposed model is presented for two departments in an airport which implements safety performance management. The results illustrate the operation risk of different departments can be assessed based on safety performance indicator system.

A Study on the Impact of the Characteristics of the Disaster and Safety Management System of a Business on its Disaster and Safety Management Performance: Focusing on the Mediating Effect of the Disaster and Safety Management Competence

A Study on the Impact of the Characteristics of the Disaster and Safety Management System of a Business on its Disaster and Safety Management Performance: Focusing on the Mediating Effect of the Disaster and Safety Management Competence