랜덤 포레스트를 활용한 여성 관리자의 퇴사 예측 모델 개발

초록

We aim to emphasize the importance of organizational roles for alleviating women managers' both career breaks and the double burden from work and home by identifying the key predictors of their resignation decisions. Women managers within organizations face various problems in continuous career development. In particular, they face the double burden of reconciling role conflicts at the workplace and at home. Even though the recognition of the importance of women managers and their portion within the organization is increasing, organizational support for their simultaneous role performance is still insufficient and leads to them perceived the limitation of career retention. This study analyzed the primary variables predicting their resignation application to the random forest. The results demonstrated a flexible working system, annual leave, training leave, remote working, workplace childcare facilities, the burden of household chores, responsibility for supporting the family, and ease of use of maternity and parental leave for men. For women managers’retention and sustainable career development, we suggest that organizations should preferentially shed out the resignation antecedents and continuously manage their Human Resource data.

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