Suppr超能文献

预测核电厂的错误、违规和安全参与行为。

Predicting Errors, Violations, and Safety Participation Behavior at Nuclear Power Plants.

机构信息

State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Power Engineering Co., Ltd., Shenzhen 518172, China.

Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China.

出版信息

Int J Environ Res Public Health. 2020 Aug 4;17(15):5613. doi: 10.3390/ijerph17155613.

Abstract

Commissioning workers at nuclear power plants have long been ignored in previous studies, although their performance is closely related to the overall safety of plants. This study aimed to explain and predict three types of behavior, i.e., errors, violations, and safety participation, of commissioning workers, under the general framework of the theory of planned behavior (TPB) and by considering organization and planning factors. The validity of the model was evaluated with a sample of 167 commissioning workers who completed a self-reported questionnaire. The results showed that perceived behavioral control, along with organization and planning, significantly affected all types of behavior. It was also found that violations and errors were a direct result of attitude. Besides, errors were predicted by subjective norm; unexpectedly, this occurred in a positive way. These findings revealed the underlying mechanisms for the development of errors, violations, and safety participation among commissioning workers and provided practical implications for safety improvement at the commissioning workplace.

摘要

核电厂调试工人在以往的研究中一直被忽视,尽管他们的表现与工厂的整体安全密切相关。本研究旨在在计划行为理论(TPB)的总体框架内,并考虑组织和规划因素,解释和预测调试工人的三种行为,即错误、违规和安全参与。该模型的有效性通过对 167 名完成自我报告问卷的调试工人进行评估。结果表明,感知行为控制以及组织和规划对所有类型的行为都有显著影响。还发现违规和错误是态度的直接结果。此外,错误是由主观规范预测的;出乎意料的是,这是以积极的方式发生的。这些发现揭示了调试工人中错误、违规和安全参与发展的潜在机制,并为调试工作场所的安全改进提供了实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc5f/7432188/28ae8bb027a9/ijerph-17-05613-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验