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运用风险分类、剖析及风险承受能力方法减少工作场所的不安全行为。

Reducing workplace unsafe behaviour using risk classification, profiling, risk tolerance approach.

作者信息

Kumar Deepak, Bhattacharjee Ram Madhab

机构信息

Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad-826004, India.

出版信息

Heliyon. 2023 Feb 22;9(3):e13969. doi: 10.1016/j.heliyon.2023.e13969. eCollection 2023 Mar.

DOI:10.1016/j.heliyon.2023.e13969
PMID:36895349
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9989646/
Abstract

Individuals' risk tolerance capacity is one of the primary reasons for their unsafe behaviour at the workplace and is commonly identified as an important causal factor for the majority of workplace accidents. Research has exhibited the significance of individuals' risk tolerance while dealing with risk at workplace. However, limited research is done to explore the influence of various factors on individuals' risk tolerance. In this paper, questionnaire survey (42 questions based on the 36 factors) data were gathered from 606 miners (various category) belonging from three major coal producing subsidiary of northern India. Based on the responses received on the questionnaire survey, (1) Statistical method is used to identify the critical factors (10 critical factors) among all; (2) risk classification (Personal Protective Equipment, operational and others-3 way) system was introduced based on the nature of risk being taken; and (3) organisational risk profiling was done. The methodology of risk profiling and risk classification introduced in this paper will help the organisation identify the critical groups and the nature of the risks being taken, respectively. Further, by considering the combined effect of all three outcomes, necessary compliances can be carried out like design of training module, framing of safety policies and deployment of suitable manpower.

摘要

个体的风险承受能力是其在工作场所出现不安全行为的主要原因之一,通常被认为是大多数工作场所事故的重要因果因素。研究表明了个体在应对工作场所风险时风险承受能力的重要性。然而,对于探索各种因素对个体风险承受能力的影响所做的研究有限。在本文中,通过问卷调查(基于36个因素的42个问题)收集了来自印度北部三个主要煤炭生产子公司的606名矿工(各类别)的数据。根据问卷调查收到的回复,(1)使用统计方法从所有因素中识别关键因素(10个关键因素);(2)根据所承担风险的性质引入了风险分类(个人防护设备、操作及其他——三种方式)系统;(3)进行了组织风险剖析。本文介绍的风险剖析和风险分类方法将分别帮助组织识别关键群体和所承担风险的性质。此外,通过考虑所有三个结果的综合影响,可以进行必要的合规操作,如设计培训模块、制定安全政策和部署合适的人力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0661/9989646/8b36789470b6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0661/9989646/55f5ec900395/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0661/9989646/8b36789470b6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0661/9989646/55f5ec900395/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0661/9989646/8b36789470b6/gr2.jpg

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