The role of behavioral factors on safety management in underground mines |
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| Institution: | 1. State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China;2. Key Laboratory of Safety and High-efficiency Coal Mining, Ministry of Education (Anhui University of Science and Technology), Huainan, 232001, China;3. College of Mining & Safety Engineering, Shandong University of Science and Technology, Qingdao, Shandong, 266590, China;1. Beijing Municipal Institute of Labour Protection, Beijing 100068, PR China;2. Faculty of Resource and Safety Engineering, China University of Mining & Technology, Beijing, Beijing 100083, PR China;1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;2. Faculty of Applied Economic Sciences, University of Antwerp, Antwerp 2000, Belgium;3. School of Engineering and Information Technology, Federation University Australia, Ballarat 3353, Australia;1. Department of Mechanical Engineering, YCCE College, RTMNU, Nagpur 441110, India;2. Department of Mechanical Engineering, YCCE College, Nagpur 441110, India;1. School of Management, China University of Mining and Technology, Xuzhou 221116, China;2. Minerals Industry Safety & Health Centre, The University of Queensland, Brisbane, QLD 4072, Australia |
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| Abstract: | Traditional approaches on the prevention of accidents/injuries in mines reached its limit of effectiveness in improving safety performance and a fresh approach is utmost required. Behavioral safety analysis has been identified as an effective alternative in many industries. This paper is therefore sought to examine the role of behavioral factors on the occurrence of mine accidents and injuries through a case study. Data were collected from two neighboring underground coalmines operating under a large public sector organization of India. High–low plots and t-test were done to explore the differences between behavioral characteristics of accident involved (case) and non-involved (control) workers. How these differences could cause accidents/injuries in mines was estimated through structural equation modeling. The case study results show that accident group of workers (cases) are more job dissatisfied, negatively affected, and highly risk taking compared to the non-accident group of workers (controls). The accident model path analysis shows that negative affectivity, job dissatisfaction, and risk taking behaviors predict an increased number of injuries in mines. Apart from direct influences to work injuries, negative affectivity and job dissatisfaction make workers to take more risks and behave unsafely. These findings contribute to the design of safety programs including safety training, which should be behaviorally motivated. Mine safety management of the case study mines should outskirt their age old belief that accidents/injuries are due to hazardous nature of mining and only engineering control and regulatory monitoring are sufficient for improving safety of the mines. The multivariate analysis also shows that experience bears no relationships with work injury indicating that a less experienced worker is equally likely to be injured as an experienced worker. It implies that experience though helps workers in understanding the physical hazards, however, avoiding the imminent danger is much more behavioral. The variables negative affectivity, job dissatisfaction, and risk taking behaviors are therefore crucial in avoiding accident/injuries in mines. |
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