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題名:台灣中部四類製造業安全氣候與安全績效之相關研究
作者:吳聰智 引用關係
作者(外文):WU, TSUNG-CHIH
校院名稱:國立彰化師範大學
系所名稱:工業教育學系
指導教授:康自立
學位類別:博士
出版日期:2001
主題關鍵詞:系統理論安全管理安全文化安全氣候安全績效System theorysafety managementsafety culturesafety climatesafety performance
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(22) 博士論文(1) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:9
  • 共同引用共同引用:0
  • 點閱點閱:52
本研究旨在探討安全氣候與安全績效之相關性。研究者透過廣泛的文獻探討,發展一○○個題項的問卷,經過預試、項目分析、效度分析、及信度分析之後,保留八十六個題項,再經過資料統計分析之後,提出結論與建議。
探索性因素分析結果,安全氣候量表(SCS)抽取四個主成分,分別為「管理階層」、「決策高層」、「風險知覺」、及「安全實務」,累積解釋變異量達63.35%;安全績效量表(SPS)抽取六個主成分,分別為「安全訓練」、「安全設備」、「事故調查統計」、及「安全措施」、「安全組織」、及「安全管理」,累積解釋變異量達69.14%。
本研究總共發出三○○○份問卷,分別寄給台灣中部四類製造業,結果回收有效問卷為五二四份,回收率為17.47%。經使用皮爾森相關及典型相關分析,結果發現安全氣候與安全績效具顯著正相關,而且「管理階層」與安全績效具有最強的正相關。此外,使用多元回歸分析,結果發現「管理階層」是安全績效的最佳預測因子。
The main purpose of this study was to explore the relationship between safety climate and safety performance. First, basing on an extensive review of the literature, 100-item questionnaire was developed and then it was tried out. Second, item analysis, validity analysis, and reliability analysis were carried out, and then the remained 86-item questionnaire was administered. Then, data was analyzed. Finally, the conclusion and suggestion was presented.
The exploratory factor analysis of the safety climate scale (SCS) resulted in four factors, top management''s commitment and action, managers'' commitment and action, perceived risk, and safety practice, explained 63.35% of the total variance. And the safety performance scale (SPS) resulted in six factors, safety training, safety equipment, accident investigation and statistics, safety measures, safety organization, and safety management, explained 69.14% of the total variance.
The questionnaire was distributed in a self-administered form to 3000 workers in four categories of manufacturing industries in central Taiwan, and 524 valid questionnaires were returned with a response rate 17.47%. By using Pearson correlation and canonical correlation analysis, the researcher found significant positive correlation between safety climate and safety performance, and the strongest positive correlation between managers'' commitment and action and safety performance. Moreover, the researcher enforced multiple regression analysis and then found managers'' commitment and action is the best predictor to predict safety performance.
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