산재근로자의 자기효능감 증진을 위한 결정 요인 파악 및 규칙 도출

• 영문명: Identifying Determinants and Extracting Rules for Self-Efficacy Enhancement of Injured Workers:A Decision Tree Approach
• 발행기관: 한국산업경영시스템학회
• 저자명: 최인선(Joseph Insun Choi) 서용무(Yongmoo Suh)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2015년 추계학술대회 논문집, 30~37쪽, 전체 8쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2015.10.31

영문 초록

Self-efficacy (one's perceptions of their capability to perform a task) plays an important role in work-related performance and motivation. For example, self-efficacy is known to have much influence on job performance, job satisfaction, motivation, etc. As such it is important to know what factors collectively enhance the selfefficacy of employees, so that injured workers contribute to the organization they belong to after they come back to their workplace. The aim of this study is to identify such industrial accident-related factors and extract rules among the factors in order to establish self-efficacy enhancement strategies for injured workers. In this study, a binary decision tree model for self-efficacy prediction was built using a panel data provided from Korea Workers’ Compensation & Welfare Service. As a result, eight variables with the largest influence on self-efficacy were selected in the prediction model, and it correctly classified 70.1% of instances. The result suggests social support during the treatment period and offering paid time off such as vacation leave, sick leave and bereavement leave are important factors to enhance self-efficacy that will improve the work performance of injured workers.

목차

1. 서론

2. 선행연구

3. 연구 방법

4. 연구결과 및 토의

5. 결론

키워드

Decision tree Industrial accident Injured worker Self-efficacy