Safety climate factors and its relationship with accidents and personal attributes in the chemical industry
Safety climate factors and its relationship with accidents and personal attributes in the chemical industry
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DOI：
10.1016/j.ssci.2008.09.004
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发表时间：
2009-05-01
期刊：
影响因子：
6.1
通讯作者：
Bhasi, M.
中科院分区：
文献类型：
--
作者：
Vinodkumar, M. N.;Bhasi, M.
在印度这样人口稠密的国家，化学工业的安全是一个主要问题。这项研究是为了确定印度喀拉拉邦化学工业的安全气候因素。采用问卷调查法，对喀拉拉邦8个重大事故隐患化工单位的2536名职工进行了调查。研究人群包括处于最低管理层的工人和一线主管。用SPSS软件对收集到的75%的数据进行主成分因子分析和方差最大旋转分析。这8个因素共同解释了总方差的52.15%。8个因素中每个项目的内部一致性(Cronbach Alpha)和总量表的内部一致性被发现是可以接受的。通过使用AMOS 4.0结构方程建模程序运行验证性因子分析，用剩余数据对该模型进行了检验，发现该模型产生了很好的拟合。计算的安全氛围得分与自报事故率呈显著负相关，具有良好的预测效度。单因素方差分析结果显示，公司的平均安全气氛得分彼此之间存在显着差异，这表明组织具有不同的安全气氛水平。此外，还进行了测试，以了解受访者的资历、年龄、工作类别和经验对他们对安全的看法和态度的影响。(C)2008爱思唯尔有限公司。保留所有权利。
Safety in the chemical industry is a major issue in a thickly populated country like India. The study was carried out to determine the safety climate factors in the chemical industry in Kerala, India. A Survey using a questionnaire was conducted among 2536 employees in eight major accident hazard chemical industrial units in Kerala. The study population included workers and first line supervisors at the lowest end of the management. 75% of the data collected was subjected to principal component factor analysis with varimax rotation using SPSS program. This revealed 8 factors which together explained 52.15% of the total variance. Internal consistency (Cronbach Alpha) across items in each of the 8 factors and that of the total scale were found acceptable. The model was tested with the remaining data by running confirmatory factor analysis using the AMOS 4.0 structural equation modeling program and was found to produce a good fit. The safety climate scores calculated were found to have significant negative correlation with self-reported accident rates revealing good predictive validity. One way ANOVA results show that companies' mean safety climate scores differ significantly from each other indicating that organizations have different safety climate levels. Tests were also conducted to find out the effects of qualification, age, job category and experience of respondents on their perceptions and attitudes about safety. (C) 2008 Elsevier Ltd. All rights reserved.