메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
이채리 (경희대학교) 장경은 (경희대학교)
저널정보
한국아동학회 아동학회지 아동학회지 제43권 제4호
발행연도
2022.11
수록면
389 - 400 (15page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

이 논문의 연구 히스토리 (2)

초록· 키워드

오류제보하기
Objectives: The study has two goals: First, it explores the effects of working mothers’ (in managerial positions) job satisfaction on their subsequent childbirth plans . In addition, it identifies the differential impact of working mothers’ job satisfaction on their future childbirth plans according to their job satisfaction type.
Methods: This study used data from the Korean Women Manager Panel (2020). Research participants include 573 working mothers between their 20s and 40s who are managers and have one child. Working mothers’ job satisfaction was assessed using the Job Satisfaction Measurement Scale. This instrument comprises sub-factors including wage, working hours, work and life balance, promotion, senior, and job. Data were analyzed using cluster and logistic regression analysis.
Results: The cluster analysis results suggested three clusters: Job Satisfaction Type, Job Dissatisfaction Type, and Selective Job Satisfaction Type. Additionally, job satisfaction’s effect on mothers’ subsequent childbirth plans was significant only for mothers in the Job Satisfaction group. In contrast, the impact of job satisfaction on future childbirth plans was not significant in working mothers in other groups.
Conclusion: This study confirmed the differences in the effects of working mothers’ (in managerial positions) job satisfaction types on their subsequent childbirth plans. Notably, this study identified discrete groups of working mothers according to their job satisfaction. Furthermore, its findings revealed patterns of changes related to job satisfaction in their subsequent childbirth plans.

목차

Introduction
Methods
Results
Discussion
References
참고문헌

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0