의사결정나무 분석을 활용한 사무직 근로자의 원격훈련 참여 결정요인 분석

The purpose of the study was to examine factors impacting the decision to participate in remote training of office workers using decision tree analysis. To do this, Human Capital Corporate Panel data 7th was used. In this study sample was 5,407. As a result, the most significant influence was the classification by industry. Since the financial industry had the highest participation rate, and the manufacturing industry is close to the field, the participation rate of remote training is likely lower than that of the financial and non-financial industries. Next, the current position of workers was found to be an influential factor, and the participation rate of the middle manager level, manager, and deputy director level was high, and the participation rate of high when the education and training process was voluntary. Finally, the company conducted evaluations based on Job Competence and performance, or the higher the job relevance of training content, the higher the participation in online training. Recently, the method of remote training has gradually diversified due to technological development, and it is approaching a wider range of non-face-to-face training. Based on the analysis results, suggested implications along with suggestions for future research.