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Development of a Prediction Model for Turnover Intentions among Female Wage Workers in South Korea Using Machine Learning and SMOTEENN

변해원
한국기계기술학회 (Korean Society of Mechanical Technology)|2024.12|한국기계기술학회지 (Journal of the Korean Society of Mechanical Technology)|제26권 제6호|pp. 1153-1160|DOI 10.17958/ksmt.26.6.202412.1153

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키워드

이직의도랜덤포레스트경력단절Random ForestTurnover Intentions기계학습모델Career BreaksMachine Learning ModelsSupportive Organizational Policies여성근로자지원제도
주제분류기계공학

초록

This study examines career trajectories among women with career breaks, using data from the 2019 National Survey of Women on Career Breaks (n=1,138). The data underwent preprocessing, including outlier detection, feature scaling, and class imbalance correction with SMOTEENN. Three machine learning models were evaluated, with the Random Forest model achieving the best performance. Key predictors included flexible leave policies, social insurance, remote work options, and job security. The findings highlight the importance of supportive organizational policies in retaining female employees. Future research should explore longitudinal impacts and additional variables like organizational culture.

Abstract

This study examines career trajectories among women with career breaks, using data from the 2019 National Survey of Women on Career Breaks (n=1,138). The data underwent preprocessing, including outlier detection, feature scaling, and class imbalance correction with SMOTEENN. Three machine learning models were evaluated, with the Random Forest model achieving the best performance. Key predictors included flexible leave policies, social insurance, remote work options, and job security. The findings highlight the importance of supportive organizational policies in retaining female employees. Future research should explore longitudinal impacts and additional variables like organizational culture.

참고문헌 (28)

  1. G. Fournier, "Instable career paths among workers 45 and over : Insight gained from long-term career trajectories", Journal of Aging Studies, 25(3), pp.316~327 (2011)
  2. R. Gwal, "Working women : Career breaks and re-entry in a fast-changing business environment", Metamorphosis, 15(1), pp.1~9 (2016)
  3. L. Venz, "Make it your break! Benefits of person-break fit for post-break affect", Occupational Health Science, 3, pp.167~186 (2019)
  4. N. Maxwell, "Informality, emotion and gendered career paths : The hidden toll of maternity leave on female academics and researchers", Gender, Work &Organization, 26(2), pp.140~157 (2019)
  5. H. T. Bainbridge, "Caregiving responsibilities for a child, spouse or parent : The impact of care recipient independence on employee well-being", Journal of Vocational Behavior, 101, pp.57~66 (2017)
  6. C. Devillanova, "Longitudinal employment trajectories and health in middle life", Demographic Research, 40, pp.1375~1412 (2019)
  7. H. J. Min, "The life course events and the career interruption among Korean women", Korea Journal of Population Studies, 34(1), pp.53~72 (2011)
  8. S. Singh, "Career break, not a brake on career : A study of the reasons and enablers of women’s re-entry to technology careers in India", Business Perspectives and Research, 9(2), pp.195~214 (2021)
  9. Y. Freeney, "More than"just a mom" : Identity distancing and reactivation during re-entry transitions", Gender, Work & Organization, pp.1~14 (2024)
  10. G. Fitong Ketchiwou, "Exploring practices that impact women’s career advancement within the workplace : a qualitative approach", African Journal of Economic and Management Studies, 15(2), pp.279~299 (2024)
  11. I. Gati, "Making better career decisions : From challenges to opportunities", Journal of Vocational Behavior, 126, pp.103545~ (2021)
  12. M. McMahon, "Qualitative career assessment : A review and reconsideration", Journal of Vocational Behavior, 110, pp.420~432 (2019)
  13. F. M. Goss, "A Quantitative Correlational Investigation into the Turnover Intentions of Minority STEM Professionals", Doctor, pp.2023
  14. M. A. Tiro, "Logistics Regression Modelling on Student Career Path Choices at the Statistics Department, FMIPA UNM Makassar", Journal of Physics : Conference Series, 2123(1), pp.012002~ (2021)
  15. A. J. Wise, "The experiences of voluntary career change in 30-somethings and implications for guidance", Career Development International, 10(5), pp.400~417 (2005)
  16. L. J. Saha, "The career aspirations and expectations of school students : from individual to global effects", Education and Society, 26(2), pp.5~22 (2008)
  17. D. K. Young, "An examination of factors that influence students’IT career decisions", Journal of Computer Information Systems, 58(3), pp.253~263 (2018)
  18. I. AL-JUBARI, "The impact of career adaptability and social support on job search self-efficacy : a case study in Malaysia", The Journal of Asian Finance, Economics and Business, 8(6), pp.515~524 (2021)
  19. H. Byeon, "A Feature Interaction Based Neural Network Approach : Predicting Job Turnover in Early Career Graduates in South Korea", International Journal of Advanced Computer Science & Applications, 15(8), pp.326~335 (2024)
  20. C. Samtleben, "What helps and what hinders? Exploring the role of workplace characteristics for parental leave use and its career consequences", Social Sciences, 8(10), pp.270~ (2019)
  21. M. Nowak, "Sustaining career through maternity leave", Australian Journal of Labour Economics, 15(3), pp.201~216 (2012)
  22. S. Kazekami, "Is Remote Working a Magic Wand? Geographic Differences in the Feasibility of Working from Home and Women’s Employment", Geographic Differences in the Feasibility of Working from Home and Women’s Employment, Dec (2022)
  23. T. W. Ng, "Long work hours : A social identity perspective on meta-analysis data", Journal of Organizational Behavior : The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 29(7), pp.853~880 (2008)
  24. J. K. Earl, "Career decision status as a predictor of resignation behavior five years later", Journal of Vocational Behavior, 78(2), pp.248~252 (2011)
  25. N. Shakeel, "Factors influencing employee retention : An integrated perspective", Journal of Resources Development and Management, 6(1), pp.32~49 (2015)
  26. J. L. Glass, "Family responsive policies and employee retention following childbirth", Social Forces, 76(4), pp.1401~1435 (1998)
  27. P. Songsangyos, "Remote working with work-life balance", International Journal of Applied Computer Technology and Information Systems, 9(2), pp.85~88 (2020)
  28. M. Shirmohammadi, "Remote work and work-life balance : Lessons learned from the covid-19 pandemic and suggestions for HRD practitioners", Human Resource Development International, 25(2), pp.163~181 (2022)

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