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A study on job stress and work environment satisfaction of construction workers
Journal of the Korean Data & Information Science Society 2022;33:399-411
Published online May 31, 2022;  https://doi.org/10.7465/jkdi.2022.33.3.399
© 2022 Korean Data and Information Science Society.

Sanghoo Yoon1 · Hyerim Han2 · Hwayoung Kim3 · Young A Kim4

123Department of Bigdata Science, Daegu University
4College of Nuring · Health & Nursing Research Instutute, Jeju National University
Correspondence to: This research was supported by the 2022 scientific promotion program funded by Jeju National University.
1 Associate professor, Department of Bigdata Science, Daegu University, Gyeongbuk 68453, Korea.
2 Undergraduate, Department of Bigdata Science, Daegu University, Gyeongbuk 68453, Korea.
3 Undergraduate, Department of Bigdata Science, Daegu University, Gyeongbuk 68453, Korea.
4 Associate professor, College of Nursing · Health & Nursing Research Institute, Jeju National University, Jeju 63243, Korea. E-mail: yakim@jejunu.ac.kr
Received February 25, 2022; Revised March 27, 2022; Accepted March 29, 2022.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study conducted a study on job stress and satisfaction with the work environment of construction workers so that they can have a safer and more comfortable work life. As the research data, the 5th work environment survey of the Occupational Safety and Health Research Institute of the Korea Occupational Safety and Health Agency was used, and the sample was 1,137 construction workers. Prior to the analysis, factors with differences in job stress and work environment satisfaction were explored through cross-testing, and a logistic regression model was established using factors with a significant relationship. As a result of the analysis, work-life balance and job safety had a significant effect on job stress and satisfaction with the working environment. Other than that, average monthly income, job instability, mental health, and sleep disorder had a significant effect on job stress, while final educational background, average monthly income, working hours per week, compensation adequacy, artificial characteristics, and sleep disorder had a significant effect on work environment satisfaction. In addition, topic modeling on safety accidents was conducted to organize people’s interests in safety accidents.
Keywords : Construction industry, industrial accidents, job stress, working environment satisfaction.