DOI QR코드

DOI QR Code

A Study on the Work Adaptation of Re-Employed Industrial Accident Workers

재취업 산재근로자의 직장 적응 결정요인 분석

  • Kye-Won Choi (Dept, of Human Resources Develoment Policy, Sookmyung Women's University) ;
  • Young-Min Lee (Dept, of Public Administration, Sookmyung Women's University)
  • Received : 2023.07.05
  • Accepted : 2024.03.20
  • Published : 2024.03.28

Abstract

The purpose of this study is to categorize the adaptation of re-employed injured workers to the workplace and to explore the determinants that affect their adaptation to the workplace. In order to categorize the group of re-employed injured workers to adapt to the workplace, a latent profile analysis was conducted on 522 injured workers. As a result of the analysis, the workplace adaptation group was classified into three types: environmental dominant adaptation type (group 1), work-oriented adaptation type (group 2), and 'environmental adaptation type (group 3). In addition, as a result of conducting a mixed regression analysis to analyze the factors influencing their adaptation to the workplace after industrial accident, it was found that the work-oriented adaptation and environmental adaptation adaptation type were lower than the environmental dominant adaptation type. In addition, it was confirmed that educational background and self-esteem are factors that have an important influence on the adaptation of injured workers to the workplace. Based on the results of this study, it was suggested that the system needs to be supplemented in two aspects: customized support for individuals in the pre-reemployment stage and the employment environment after re-employment in order to increase the adaptation of injured workers to work. Specifically, there are consideration of the development and spread of rehabilitation programs and the expansion of the scope of subsidies that were paid only to the original business owners. Through this study, it is expected that more targeted policy measures can be prepared for re-employed injured workers.

본 연구의 목적은 재취업 산재근로자의 직장 적응을 유형화하고, 직장 적응에 영향을 미치는 결정요인들을 탐색하는 것이다. 재취업 산재근로자의 직장 적응 집단을 유형화하기 위해, 산재근로자 522명을 대상으로 잠재프로파일분석을 실시하였다. 분석결과, 직장 적응 집단을 환경 우세 적응형(집단 1), 일 중심 적응형(집단 2), 환경 순응 적응형(집단 3)의 세 유형으로 분류되었다. 또한, 산재 후 이들의 직장 적응에 영향요인을 분석하기 위해 혼합회귀분석을 실시한 결과, 환경 우세 적응형에 비해 일 중심 적응형과 환경 순응 적응형의 직장 적응이 낮은 것으로 나타났다. 또한 학력과 자아존중감이 산재 근로자의 직장 적응에 중요한 영향을 미치는 요인이라는 것을 확인하였다. 본 연구 결과를 토대로, 재취업 산재근로자의 직장 적응을 높이기 위하여 재취업 이전 단계에서의 개인에 대한 맞춤형 지원과 재취업 이후 고용환경 두 가지 측면에서 제도를 보완할 필요가 있음을 제언하였다. 구체적으로 재활프로그램의 개발과 확산, 원직 복귀 사업주에게 한정적으로 지급되었던 지원금의 대상범위 확대 고려 등이 있다. 본 연구를 통하여 재취업 산재근로자에 대해 보다 표적화된 정책 방안을 마련할 수 있을 것으로 기대한다.

Keywords

References

  1. K. M. Han & M. A. See. (2017). Determinants Factors Analysis of Job Retention for Injured Workers after Return-to-Work Using Recurrent Event Survival Analysis. Korean Journal of Social Welfare Studies, 48(4), 221-249. DOI : 10.16999/kasws.2017.48.4.221 
  2. Korea Workers' Compensation and Welfare Service. (2021). Report on the Employment Status of Industrial Accident Care Terminated Persons. 
  3. A. S. Park. (2018). A Study on Influence Factors on the Quality of Life of a Re-employed Worker with Industrial Injuries. Korean society for Wellness, 13(1), 349-362. DOI : 10.21097/ksw.2018.02.13.1.349 349 
  4. H. L. Shin & M. I. Kim. (2015). A Study of the Relationship between Rehabilitation Services and Return-to-Work: Analysis by Propensity Score Matching. Journal of vocational rehabilitation, 25(1), 105-130. 
  5. J. Y. Lim & Y. M. Lee. (2016). A Study on the Factors of Job Adjustment of Injured Workers Returned Workplace. Institute for Humanities and Social Sciences, 17(1), 531-564.  https://doi.org/10.15818/ihss.2016.17.1.531
  6. J. W. Kim. (2018). The Effects of Vocational Rehabilitation Services on the Dynamics of Employment. Korean Public Administration Review, 52(2), 237-266. DOI : 10.18333/KPAR.52.2.237 
  7. J. W. Kim. (2019). The Effects of the Person-Job Fit of Injured Workers on Job Satisfaction and Voluntary Turnover after Reemployment. Korean Public Administration Review, 53(2), 211-248. DOI : 10.18333/KPAR.53.2.211 
  8. D. Y. Lee, Y. J. Park, H. J. Park, S. J. Cho & J. H. Cho. (2010). A Study on the Reorganization of the Support System for the Return of Industrial Accident Workers to Work. Ministry of Employment and Labor. 
  9. E. H. Lee, H. S. Rhee & J. A. Yang. Factors Related to Life and Job Satisfactions of Injured Workers: Focusing on Types of Injured Workers' Return to Work. Disability & Employment, 27(2), 107-131. DOI : 10.15707/disem.2017.27.2.005 
  10. Y. S. Choi, Y. M. Lee & H. H Yoon. (2012). Middle-aged (re)employed women's adaptation to the workplace and policy tasks. Foundation of Korea Vocational Education and Training institute. 
  11. Dawis, R. V., & Lofquist L. H.(1984). A psychological theory of work adjustment. Minneapolis: University of Minnesota Press. 
  12. W. Lee. & M. Y. Um. (2016). Factors Influencing Job Satisfaction of Injured Workers - Comparison between Those Who Returned to Pre-injury Job and Those Who Got a New Job. Korean Journal of Social Welfare, 68(4), 97-118.  https://doi.org/10.20970/KASW.2016.68.4.005
  13. J. H. LEE. (2015). The job satisfaction of returning workers to work influencing factors. Master dissertation. Seoul National University. Seoul. 
  14. H. M. Lee & H. J. Joo. (2022). The Moderating Effect of Education-Skill Match in Relation to Objective and Subjective Job Satisfaction and Daily Life Satisfaction of Workers in Industrial Accidents. Journal of New Industry and Business, 40(2), 3-21. DOI : 10.30753/emr.2022.40.2.001 
  15. D. H. Kim. (2022). A 1-year Follow-up Study on The Relationship Between Person-job Fit, Self-efficacy, Sequelae, and Job Satisfaction of Re-employed Industrially Injured Workers: Focusing on Cross-delay Panel Model Analysis and Conditional Process Analysis. Disability & Employment, 32(3), 31-55. DOI : 10.15707/disem.2022.32.3. 
  16. S. H. Kim & I. J. Hwang.(2023). Cross-industry Labor Mobility and Job Satisfaction of Injured Workers. Crisisonomy, 19(7), 123-138. 
  17. Hickendorff, M., P.A. Edelsbrunner, J. McM ullen, M. Schneider, and K. Trezise. (2018). Informative Tools for Characterizing Individual Differences in Learning: Latent Class, Latent Profile, and Latent Transition Analysis. Learning and Individual Differences 66: 4-15.  https://doi.org/10.1016/j.lindif.2017.11.001
  18. B. Muthen, L. K. Muthen(2000). Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res, 24(6), 882-91.  https://doi.org/10.1111/j.1530-0277.2000.tb02070.x
  19. Asparouhov, T., & Muthen, B.(2012). Using Mplus TECH11 and TECH14 to test the number of latent classes, http://www.statmodel.com/examples/webnotes/webnote14.pdf. 
  20. Morin, A. J. S., Morizot, J., Boudrias, J.-S., & Madore, I. (2011). A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis. Organizational Research Methods, 14(1), 58-90.  https://doi.org/10.1177/1094428109356476