Research Article
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Year 2020, , 78 - 88, 30.06.2020
https://doi.org/10.22531/muglajsci.660022

Abstract

References

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DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL

Year 2020, , 78 - 88, 30.06.2020
https://doi.org/10.22531/muglajsci.660022

Abstract

Occupational accidents in the construction industry constitute one of the major problems in Turkey. The industry alone is responsible for 32.0% of all fatal industrial accidents from 1992–2015. Beyond precautionary efforts, workers need to participate and cooperate in the construction process to reduce the high number of accidents. The objective of this study is to provide an in-depth understanding of the underlying causes and motivations that affect the compliance of workers in following occupational safety and health (OSH) rules. A total of 482 workers were surveyed in 2016–2017. Cronbach’s alpha was used to measure the reliability of the dataset. Ordinal logistic regression was conducted to determine the parameters that affect the compliance of workers in following OSH rules. Results show that most construction workers do not believe in the following findings: companies should provide OSH training before starting work; focusing on OSH would increase work efficiency and quality; OSH training is effective in preventing occupational accidents; OSH training is effective in reducing the frequency of occupational accidents; and OSH training is important for the safe use of equipment. Thus, the safety culture should be developed first in order for workers to gain awareness, adaptation and their sustainability.

References

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Details

Primary Language English
Subjects Engineering
Journal Section Journals
Authors

Özge Akboğa Kale 0000-0002-3848-0578

Publication Date June 30, 2020
Published in Issue Year 2020

Cite

APA Akboğa Kale, Ö. (2020). DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL. Mugla Journal of Science and Technology, 6(1), 78-88. https://doi.org/10.22531/muglajsci.660022
AMA Akboğa Kale Ö. DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL. Mugla Journal of Science and Technology. June 2020;6(1):78-88. doi:10.22531/muglajsci.660022
Chicago Akboğa Kale, Özge. “DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL”. Mugla Journal of Science and Technology 6, no. 1 (June 2020): 78-88. https://doi.org/10.22531/muglajsci.660022.
EndNote Akboğa Kale Ö (June 1, 2020) DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL. Mugla Journal of Science and Technology 6 1 78–88.
IEEE Ö. Akboğa Kale, “DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL”, Mugla Journal of Science and Technology, vol. 6, no. 1, pp. 78–88, 2020, doi: 10.22531/muglajsci.660022.
ISNAD Akboğa Kale, Özge. “DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL”. Mugla Journal of Science and Technology 6/1 (June 2020), 78-88. https://doi.org/10.22531/muglajsci.660022.
JAMA Akboğa Kale Ö. DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL. Mugla Journal of Science and Technology. 2020;6:78–88.
MLA Akboğa Kale, Özge. “DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL”. Mugla Journal of Science and Technology, vol. 6, no. 1, 2020, pp. 78-88, doi:10.22531/muglajsci.660022.
Vancouver Akboğa Kale Ö. DETERMINATION OF POOR COMPLIANCE WITH OSH RULES OF CONSTRUCTION WORKERS USING ORDINAL REGRESSION MODEL. Mugla Journal of Science and Technology. 2020;6(1):78-8.

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