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Safety-Culture Exploration in Taiwan’s Metal Industries: Identifying the Workers’ Background Influence on Safety Climate

Author

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  • Shu-Chiang Lin

    (Department of Industrial Management, National Taiwan University of Science and Technology, 43, Keelung Road, Da’an District, Taipei 106, Taiwan)

  • Ilma Mufidah

    (Department of Industrial Management, National Taiwan University of Science and Technology, 43, Keelung Road, Da’an District, Taipei 106, Taiwan
    Department of Industrial Engineering, Telkom University, Telekomunikasi Terusan Buah Batu, Bandung 40257, Indonesia)

  • Satria Fadil Persada

    (Department of Business Management, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia)

Abstract

The present study aims to assess the safety-climate level in Taiwan’s metal industries, as well as to identify the influence of workers’ backgrounds on the safety climate. An earlier report showed that a poor safety culture was related to the cause of accidents in Taiwan’s traditional manufacturing industries. This study surveyed a total of 839 workers who voluntarily participated and completed the safety-culture questionnaires. These workers were from a Taiwanese metal company and its five satellite companies. Three safety-climate factors, namely safety perception, safety communication and safety-management systems, were assessed. Confirmatory factor analysis (CFA) was conducted by developing structural equation modeling to ensure the questionnaire’s validity. The influence of workers’ backgrounds on the safety climate was identified by using one-way ANOVA. The reliability result of the questionnaire was above the acceptable level. The overall safety-climate score was 4.22 out of a five-point scale for safety perception, 4.23 for safety-management systems and 3.97 for safety communication. The scores indicate a good level of safety climate, with room for improvement in safety communication. Additionally, the influence of workers’ backgrounds on the safety climate was confirmed. Based on the validity test, it was also found that the questionnaire could be improved by reconstructing its questions in its development process in order to increase the safety-climate model’s reliability and validity, as well as its model fit.

Suggested Citation

  • Shu-Chiang Lin & Ilma Mufidah & Satria Fadil Persada, 2017. "Safety-Culture Exploration in Taiwan’s Metal Industries: Identifying the Workers’ Background Influence on Safety Climate," Sustainability, MDPI, vol. 9(11), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:1965-:d:116810
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    References listed on IDEAS

    as
    1. Reny Nadlifatin & Shu-Chiang Lin & Yulia Puspa Rachmaniati & Satria Fadil Persada & Mohammad Razif, 2016. "A Pro-Environmental Reasoned Action Model for Measuring Citizens’ Intentions regarding Ecolabel Product Usage," Sustainability, MDPI, vol. 8(11), pages 1-10, November.
    2. Wan Mohamad Asyraf Bin Wan Afthanorhan & Sabri Ahmad & Ibrahim Mamat, 2014. "Pooled Confirmatory Factor Analysis (PCFA) Using Structural Equation Modeling on Volunteerism Program: A Step by Step Approach," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 4(5), pages 642-653.
    3. Hicks, Gemma & Buttigieg, Donna & De Cieri, Helen, 2016. "Safety climate, strain and safety outcomes," Journal of Management & Organization, Cambridge University Press, vol. 22(1), pages 19-31, January.
    4. Randi Hammervold & Ulf Olsson, 2012. "Testing structural equation models: the impact of error variances in the data generating process," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1547-1570, August.
    5. Shu-Chiang Lin & Reny Nadlifatin & Anis Rahmawati Amna & Satria Fadil Persada & Mohammad Razif, 2017. "Investigating Citizen Behavior Intention on Mandatory and Voluntary Pro-Environmental Programs through a Pro-Environmental Planned Behavior Model," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    6. Burchell, Noel & Kolb, Darl, 2003. "Pattern Matching Organisational Cultures," Journal of Management & Organization, Cambridge University Press, vol. 9(3), pages 50-61, January.
    7. Wan Mohamad Asyraf Bin Wan Afthanorhan & Sabri Ahmad & Ibrahim Mamat, 2014. "Pooled Confirmatory Factor Analysis (PCFA) Using Structural Equation Modeling on Volunteerism Program: A Step by Step Approach," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 4(5), pages 642-653, May.
    8. Jacky Chin & Shu-Chiang Lin, 2016. "A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
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    Cited by:

    1. Li-Ting Yeh, 2017. "Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    2. Jacky Chin & Bernard C. Jiang & Ilma Mufidah & Satria Fadil Persada & Bustanul Arifin Noer, 2018. "The Investigation of Consumers’ Behavior Intention in Using Green Skincare Products: A Pro-Environmental Behavior Model Approach," Sustainability, MDPI, vol. 10(11), pages 1-15, October.

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