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研究生:林玉堂
研究生(外文):Yu-Tang Lin
論文名稱:偏光板產業安全文化評估
論文名稱(外文):The Safety Culture Assessment of Polarizer industry
指導教授:戴華山戴華山引用關係
指導教授(外文):Hua-Shan Tai
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:環境與安全衛生工程研究所
學門:工程學門
學類:環境工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:133
中文關鍵詞:統計分析雷達圖安全文化常模安全文化評量表
外文關鍵詞:safety culture scaleradar chart and norms of safety culture.statistical analysis
相關次數:
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  • 下載下載:91
  • 收藏至我的研究室書目清單書目收藏:1
本研究以偏光板產業之從業人員作為研究對象,根據文獻發展安全文化評量表包含11個向度,共計98個題目作為研究工具,衡量方式採用李克特五尺度量表。問卷共發出360份,回收有效樣本為321份(92.5%),以SPSS17.0統計軟體進行分析。
研究結果顯示,以雷達圖呈現整體安全文化之現況,整體安全文化向度百分比分數達75.9分,職務別的安全文化百分比分數上,管理層級的從業人員百分比分數達82.2分,非管理職的從業人員百分比分數為74.6分,顯示管理職較具有安全文化意識,明顯高於非管理職;資料經t檢定、ANOVA分析、事後檢定及相關分析等,瞭解偏光板產業業成員背景變項在安全文化的認知上的差異及相關,依研究成果,偏光板產業應對性別上的差異性不大,年齡層上,以41~45歲的從業人員比其他年齡層有較佳的安全文化認知,教育程度上,以大學畢業以上的從業人員比高中職及專科畢業的從業人員有較好的安全文化認知,服務年資上,3~5年的從業人員也比其他服務年資有較佳的安全文化認知,有無職災經驗者,以無職災經驗者比有職災經驗者有較佳的安全文化認知;在變項相關方面,以「年齡」、「教育程度」、「服務年資」等變項與整體安全文化有顯著正向影響關係;「勤務型態」及「職務別」等變項與整體安全文化有顯著負向影響關係。最後本研究依據此安全文化量表,建立偏光板產業安全文化常模,其結果以提供企業作為安全文化診斷與改善介參考。
就企業管理者上,應就安全承諾上,給予更明確的承諾,給從業人員有目標遵循,而現階段應優先加強安全參與及獎懲激勵的提升,以促進從業人員安全的意識及塑造優質之安全文化,共同締造安全健康的工作環境,激勵員工士氣以建立優良的商譽、增強市場之優勢。
The target group consisted of employees in the Polarizer Industry. According to documents from the Development of Safety Culture, the assessment scale include 11 dimensions categories. The questionnaire include 98 questions, with answers that were measured on a five-point Likert scale. 360 copies of the questionnaire were distributed and 321 effective samples (92.5%) were retrieved returned from the target group. Data analysis was performed using SPSS 17.0 statistical software.
The results of the research showed on the radar map, indicates the present situation of the whole safety culture. The whole safety culture dimension is getting to 75.9 percent. Other categories’ percentages are shown below: Official rank - The managers’ percentage is at 82.2%. The staff’s percentage is at 74.6%. It shows that the managers’ knowledge of the safety culture is higher than the staff’s. The result has been tested by a T-test and ANOVA analysis - understanding the background of the polarizer industry is a variable in the knowledge of safety culture. Sex distinction - According to the result, there are no gender differences in polarizer industries. Age - Employees between 41 and 45 have more safety culture knowledge than the others. Level of education - Employees who have graduated from a university had more knowledge of safety culture than those who only graduated from college or high school. Service period – Staff that have been working for 3 years and less than 5 years, had better knowledge of safety culture than the others. Occupational hazard experience – Individuals who didn’t have occupational hazard experience has better knowledge of safety culture than those who had occupational hazard experience before.
The variables of "Age", "Level of Education" and "Service Period" have apparently affected the safety culture positively. The variables of "Type of Services", "Official Rank" have affected the safety culture negatively. According to this result, creating a normal scale of polarizer industries’ safety culture might be a tool to supply to the polarizer industries. The polarizer industries can diagnosis or improve themselves by using the normal safety culture scale.
Staff need to commit to follow managers’ safety examples in the business. But at the moment, to enhance safety security is the main point, and to improve the rewards and fines so that staff can have the knowledge and make the quality of safety culture higher. Further, to create a healthy and safe working environment for the employees. Staff morale and to develop an excellent reputation and increasing market advantage.
中文摘要 i
ABSTRACT ii
誌  謝 iv
目  錄 v
表 目 錄 viii
圖 目 錄 xii
第一章 緒論 1
1.1 研究背景及動機 1
1.2 研究目的 7
1.3 研究範圍及限制 8
第二章 產業現況說明及文獻回顧 10
2.1 偏光板介紹 10
2.1.1 偏光板原理 11
2.1.2 偏光板製程介紹 13
2.1.3 偏光板應用 15
2.2 安全文化之概述 18
2.3 安全文化之模式 21
2.3.1 全面安全文化模式 21
2.3.2 安全文化系統模式 23
2.3.3 安全文化互動模式 24
2.4 安全文化評量工具 25
第三章 研究設計與方法 28
3.1 研究流程 28
3.2 研究假設 31
3.3 研究工具 33
3.3.1 問卷內容 33
3.3.2 預測試問卷測試 38
3.3.3 預測試問卷統計分析 39
3.3.4 正式問卷發放 43
3.4 資料整理及分析方法 45
第四章 結果與討論 47
4.1 研究樣本基本資料之分析 47
4.1.1 問卷回收 47
4.1.2 基本資料分析 48
4.1.3 基本資料交叉分析 53
4.2 信效度分析 59
4.3 安全文化向度分析 61
4.3.1 向度分析比較 61
4.3.2 安全文化向度之評比區塊 68
4.4 安全文化常模 70
4.5 個人背景變項對安全文化之差異分析 72
4.5.1 個人背景變項t檢定差異分析 72
4.5.2 個人背景變項ANOVA差異分析 78
4.6 安全文化各向度之相關性分析 93
4.7 研究假設小結 97
第五章 結論與建議 100
5.1 結論 100
5.2 建議 102
參考文獻 103
附錄A、安全文化正式問卷量表 110
附錄B、預測式問卷信、效度分析 116
附錄C、個人資料變項與安全文化百分比比較圖表 127
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