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Liu SX, Chen HZ, Mei Q, Zhou Y, Edmund NNK. Impact analysis of behavior of front-line managers on employee safety behavior by integrating interpretive structural modeling and Bayesian network. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 2022; 28:2426-2438. [PMID: 35635538 DOI: 10.1080/10803548.2022.2079840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Employee safety behavior, which is a basic element of enterprise work safety. The results of accident investigations and risk assessments in enterprises indicate that management factors are some of the most important factors that affect employee safety behavior. The purpose of this study is to explore the relationship between the behavior of front-line managers (FLMs) and employee safety behavior by integrating a qualitative method, namely the interpretive structural modeling (ISM) and a quantitative method, namely Bayesian network (BN). The results of the BN analysis showed that safety incentives and safety communication were the best predictors of safety participation, while safety supervision and safety control were the best predictors of safety compliance. Moreover, the results revealed that an instantaneous improvement of safety communication, safety incentives, safety supervision, and safety guidance was the most effective joint measure to reach a high-level of safety behavior of employees at the workplace.
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Affiliation(s)
- Su-Xia Liu
- School of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu, China
| | - Hua-Zhong Chen
- School of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu, China
| | - Qiang Mei
- School of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu, China
| | - Ying Zhou
- School of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu, China.,Suzhou Hong Kong and China Gas Company Limited, No. 699 Tongyuan Road, Suzhou, Jiangsu, China
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Van Derlyke P, Marín LS, Zreiqat M. Discrepancies between implementation and perceived effectiveness of leading safety indicators in the U.S. dairy product manufacturing industry. Saf Health Work 2022; 13:343-349. [PMID: 36156860 PMCID: PMC9482021 DOI: 10.1016/j.shaw.2022.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 04/23/2022] [Accepted: 04/25/2022] [Indexed: 11/29/2022] Open
Abstract
Background In the United States, the dairy product manufacturing industry has consistently had higher rates of work-related nonfatal injuries and illnesses compared to the national average for industries in all sectors. The selection and implementation of appropriate safety performance indicators are important aspect of reducing risk within safety management systems. This study examined the leading safety indicators implemented in the dairy product-manufacturing sector (NAICS 3115) and their perceived effectiveness in reducing work-related injuries. Methods Perceptions were collected from individuals with safety responsibilities in the dairy product manufacturing facilities. OSHA Incident Rate (OIR) and Days away, restricted and transferred (DART) rates from 2013 to 2018 were analyzed. Results The perceived most effective leading were safety observations, stop work authority, near miss reporting, safety audits, preventative maintenance, safety inspections, safety training attendance, and job hazard analysis/safety analysis, respectively. The 6-year trend analysis showed that those implementing all eight top indicators had a slightly lower rates than those that did not implement all eight. Production focused mentality, poor training, and lack of management commitment were perceived as the leading causes of injuries in this industry. Conclusion Collecting leading indicators with the unique interest to meet the regulatory requirements and to document the management system without the actual goal of using them as input to improve the system most probably will not lead to an effective reduction of negative safety outcomes. For leading indicators to be effective, they should be properly selected, executed, periodically evaluated and actions are taken when necessary.
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Abstract
Construction is a hazardous industry. The project-based nature and fragmentation in the industry lead to change and uncertainty requiring special expertise. To handle those, construction firms must develop strategies and action plans along with the experience gained from lessons learned. Among the risks, safety risks are of critical importance leading to accidents. Hence, firms need to strengthen their safety programs, review their strategies for safety management, and develop effective safety training sessions to protect their workers. This study focuses on the success factors promoting safety performance. In this respect, a questionnaire was designed and administered to the Engineering News-Record (ENR) 2020 Top 400 Contractors. The questionnaire data was utilized in conducting a factor analysis to group and name the factors considering the total variance. The analysis of the factors resulted in six-factor groups; namely, project and firm-related factors, demographic factors, practical factors, motivational factors, organizational factors, and human-related factors. Project and firm-related factors were found to be the most essential factor group in terms of promoting the effectiveness of safety training. The results of this study are expected to guide industry practitioners in terms of reviewing and revising their safety training programs.
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Tang N, Hu H, Xu F, Yeoh JKW, Chua DKH, Hu Z. A personalized Human Factors Analysis and Classification System (HFACS) for construction safety managementbased on context-aware technology. ENTERP INF SYST-UK 2021. [DOI: 10.1080/17517575.2021.1878283] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Ning Tang
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Transportation Engineering, Institute of Engineering Management, School of Naval, Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil Engineering, Institute of Engineering Management, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, Jiao Tong University, Shanghai, P.R. China
| | - Hao Hu
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Transportation Engineering, Institute of Engineering Management, School of Naval, Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil Engineering, Institute of Engineering Management, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, Jiao Tong University, Shanghai, P.R. China
| | - Feng Xu
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Transportation Engineering, Institute of Engineering Management, School of Naval, Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil Engineering, Institute of Engineering Management, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, Jiao Tong University, Shanghai, P.R. China
| | - J. K. W. Yeoh
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Transportation Engineering, Institute of Engineering Management, School of Naval, Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil Engineering, Institute of Engineering Management, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, Jiao Tong University, Shanghai, P.R. China
| | - David Kim Huat Chua
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Transportation Engineering, Institute of Engineering Management, School of Naval, Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil Engineering, Institute of Engineering Management, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, Jiao Tong University, Shanghai, P.R. China
| | - Zhe Hu
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Transportation Engineering, Institute of Engineering Management, School of Naval, Architecture, Ocean and Civil Engineering and State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil Engineering, Institute of Engineering Management, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, Jiao Tong University, Shanghai, P.R. China
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Fan D, Zhu CJ, Timming AR, Su Y, Huang X, Lu Y. Using the past to map out the future of occupational health and safety research: where do we go from here? INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT 2019. [DOI: 10.1080/09585192.2019.1657167] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Di Fan
- UWA Business School, University of Western, Perth, Australia
| | | | | | - Yiyi Su
- School of Economics and Management, Tongji University, Shanghai, China
| | - Xinli Huang
- UWA Business School, University of Western, Perth, Australia
| | - Ying Lu
- Macquarie Business School, Macquarie University, Sydney, Australia
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Lozano-Díez RV, López-Zaldívar O, Herrero Del Cura S, Verdú-Vázquez A. Analysis of the impact of health and safety coordinator on construction site accidents: The case of Spain. JOURNAL OF SAFETY RESEARCH 2019; 68:149-156. [PMID: 30876506 DOI: 10.1016/j.jsr.2018.12.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 10/19/2018] [Accepted: 12/10/2018] [Indexed: 06/09/2023]
Abstract
The figure of the Health and Safety Coordinator (HSC), as a necessary and competent engineer in the construction sector, emerged in Spain on December 25, 1997 as a result of the implementation of European Directive 92/57/EEC. The coming of age of this figure is a sufficient period of time for determining its implementation and impact within the construction sector. The research carried out in this article arose from the analysis of statistical data obtained through Public Authorities and Professional Bodies. The quantitative study of the data extracted is complemented by the creation of specific benchmark indicators which connect four fundamental variables in the construction industry: the number of accidents, volume of workers employed, building units, and health and safety coordination posts. Furthermore, the legislation governing the HSC engineer in each of the 28 Member States of the European Union is studied. The results show a high implementation rate for the figure of the HSC, as well as a positive impact in relation to the reduced accident rate in the construction sector. Likewise, an update to the procedures of the various authorities is considered to be necessary in order to make the data concerning the actual work of the health and safety coordinators public. Finally, a review of the Spanish legislation concerning the HSC Coordinator is considered to be inevitable, in order to bring it up to the levels of professional skill and competence defined by the majority of European Union Member States.
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Affiliation(s)
| | - Oscar López-Zaldívar
- Departamento de Tecnología de la Edificación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Sofía Herrero Del Cura
- Departamento de Tecnología de la Edificación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Amparo Verdú-Vázquez
- Departamento de Tecnología de la Edificación, Universidad Politécnica de Madrid, Madrid, Spain
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The Guatemalan Construction Industry: Approach of Knowledge Regarding Work Risks Prevention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15102252. [PMID: 30326584 PMCID: PMC6209986 DOI: 10.3390/ijerph15102252] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 10/07/2018] [Accepted: 10/12/2018] [Indexed: 11/30/2022]
Abstract
In the present work, the results are presented for the characterization of work risk prevention in the Guatemalan construction industry. This characterization has been carried out using a simple random sampling technique, employing a questionnaire that was structured into 3 groups of variables: 1. General company data; 2. Prevention and management activities regarding health and safety in the company and on the worksite; and 3. Health and safety in the contractor companies. Following the sampling phase, the data were introduced in a database format, and a preliminary analysis was performed on the studied variables, followed by a descriptive analysis and a multiple correspondence analysis. The main findings of the study emphasize that companies in the Guatemalan construction sector are characterized as dedicating most of their activity (52.0%) indistinctly between civil engineering work, building construction and other specialized construction, mainly working as contractors (47.5%). These are “medium-sized” companies, employing an average of 81.1 on-site workers, having an average of 6.8 on-site work crews, and grossing an average turnover of 1.29 million euros annually. Likewise, it found that the larger construction companies adopt better prevention and management measures for worksite health and safety the larger companies are correlated with a high awareness of experiencing worksite accidents, while medium-sized companies have medium-level awareness. Companies with fewer workers manage workplace risk prevention worse, with low accident risk awareness. This correlation between these indicative variables of company size and workplace risk management and prevention is clearly reflected in the four company “clusters” that have been identified as having homogenous characteristics using the multiple correspondence analysis technique. Companies in the Guatemalan construction sector should make a greater effort to improve manager and worker training regarding workplace risk prevention to increase the effectiveness of company prevention management.
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