2014대한인간공학회 학술대회논문집Requires access

Exploring Taiwan Government`s Safety Culture Improvement Program in Local Metal Industry through Questionnaire Evaluation and Workers’ Background Influence Identification

Shu‐Chiang Lin, Ilma Mufidah

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Abstract

According to Taiwan’s Council of Labor Affairs (CLA)’s occupational accident statistics in 2012, unsafe behavior contributed to 80% accidents in local manufacturing industries. Some programs are introduced by the government to br ing down the accident rates. One such program aims to improve safety and environmental health through counseling for local manufacturing industries by conducting safety culture assessment using questionnaire th a t i s der ived from s ome literatures o f safety culture. However, researchers also stated that the use of questionnaire to measure safety culture is not without limitations. This research hence will evaluate the questionnaire that is being used, and to identify the influence of the workers background to safety climate based on the evaluated questionnaire result s that were conducted among more than 700 local metal industries’ workers. Confirmatory factor analysis, structural equation modeling and ANOVA analysis will be used to evaluate the questionnaire and identify the workers influence. Preliminary result shows that the overall safety climate score was good and some, but not all, workers’ background significantly related to safety climate. A revision of the questionnaire is also recommended.

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What this paper is about

According to Taiwan’s Council of Labor Affairs (CLA)’s occupational accident statistics in 2012, unsafe behavior contributed to 80% accidents in local manufacturing industries. Some programs are introduced by the government to br ing down the accident rates. One such program aims to improve safety and environmental health through counseling for local manufacturing industries by conducting safety culture assessment using questionnaire th a t i s der ived from s ome literatures o f safety culture. However, researchers also stated that the use of questionnaire to measure safety culture is not without limitations. This research hence will evaluate the questionnaire that is being used, and to identify the influence of the workers background to safety climate based on the evaluated questionnaire result s that were conducted among more than 700 local metal industries’ workers. Confirmatory factor analysis, structural equation modeling and ANOVA analysis will be used to evaluate the questionnaire and identify the workers influence. Preliminary result shows that the overall safety climate score was good and some, but not all, workers’ background significantly related to safety climate. A revision of the questionnaire is also recommended.

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Available abstract

According to Taiwan’s Council of Labor Affairs (CLA)’s occupational accident statistics in 2012, unsafe behavior contributed to 80% accidents in local manufacturing industries. Some programs are introduced by the government to br ing down the accident rates. One such program aims to improve safety and environmental health through counseling for local manufacturing industries by conducting safety culture assessment using questionnaire th a t i s der ived from s ome literatures o f safety culture. However, researchers also stated that the use of questionnaire to measure safety culture is not without limitations. This research hence will evaluate the questionnaire that is being used, and to identify the influence of the workers background to safety climate based on the evaluated questionnaire result s that were conducted among more than 700 local metal industries’ workers. Confirmatory factor analysis, structural equation modeling and ANOVA analysis will be used to evaluate the questionnaire and identify the workers influence. Preliminary result shows that the overall safety climate score was good and some, but not all, workers’ background significantly related to safety climate. A revision of the questionnaire is also recommended.

Key concepts: Safety culture, Confirmatory factor analysis, Safety climate, Occupational safety and health, Government (linguistics), Local government, Structural equation modeling, Questionnaire

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