Y. Yassierli, N. Nurhayati, Marisa Anatasia, S. Bahri
{"title":"Personality Trait Based Intervention for Workplace Accident Prevention","authors":"Y. Yassierli, N. Nurhayati, Marisa Anatasia, S. Bahri","doi":"10.7454/MST.V21I2.3087","DOIUrl":null,"url":null,"abstract":"Previous research has suggested that some traits ma y be useful as the predictors of risk behaviours be haviors. Therefore, personality traits seem to play a role in accident involvement. The purpose of this study is was to ex plore the relationship between the personality traits based on the Big Fiv e In entory (BFI) and worker accident experiences i n order to elaborate personality traits based intervention for workplace accident prevention. A cross cross-sectional study was conducted among 173 workers in a cement company using a set o f questionnaires consisting of respondents’ charact e istics, BFI, and self-reported accident experience. The correlat ions were computed using Goodman Kruskal’s Gamma. A negative correlation between Extraversion dimension and acci dent experience was found to be approaching signifi ca t (G=0.273, p = 0.061). Workers with lower Extraversion dimensions, based on BFI, are recommended to have p riority needs be prioritized for training or to be assigned to le ss hazardous workplaces.","PeriodicalId":22842,"journal":{"name":"Theory of Computing Systems \\/ Mathematical Systems Theory","volume":"41 1","pages":"97-102"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory of Computing Systems \\/ Mathematical Systems Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7454/MST.V21I2.3087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Previous research has suggested that some traits ma y be useful as the predictors of risk behaviours be haviors. Therefore, personality traits seem to play a role in accident involvement. The purpose of this study is was to ex plore the relationship between the personality traits based on the Big Fiv e In entory (BFI) and worker accident experiences i n order to elaborate personality traits based intervention for workplace accident prevention. A cross cross-sectional study was conducted among 173 workers in a cement company using a set o f questionnaires consisting of respondents’ charact e istics, BFI, and self-reported accident experience. The correlat ions were computed using Goodman Kruskal’s Gamma. A negative correlation between Extraversion dimension and acci dent experience was found to be approaching signifi ca t (G=0.273, p = 0.061). Workers with lower Extraversion dimensions, based on BFI, are recommended to have p riority needs be prioritized for training or to be assigned to le ss hazardous workplaces.