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

논문 기본 정보

자료유형
학술저널
저자정보
Xuantong Jin (계명대학교) 하제현 (계명대학교)
저널정보
한국스포츠정책과학원 IJASS(International Journal of Applied Sports Sciences) IJASS(International Journal of Applied Sports Sciences) Vol.36 No.1
발행연도
2024.6
수록면
91 - 103 (13page)

이용수

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

초록· 키워드

오류제보하기
The purpose of this study was to examine the relationships among emotional dissonance, perceived organizational support, job satisfaction, and turnover intention among physical education professors in China. The population for this study consisted of physical education professors in L province, China. Convenience sampling was utilized, and a total of 192 participants participated the study. An online survey system, Tencent Questionnaire, was employed to administer the survey. Data analysis was conducted using SPSS 27.0 and AMOS 27.0, and structural equation model was employed to examine the relationships among the variables. According to the results, first, perceived organizational support has no significant effect on emotional dissonance. Second, perceived organizational support is positively related to job satisfaction. Third, perceived organizational support has no significant effect on turnover intention. Fourth, emotional dissonance is negatively related to job satisfaction. Fifth, job satisfaction has no significant effect on turnover intention. Sixth, emotional dissonance is positively related to turnover intention. Moreover, perceived organizational support was a significant predictor of job satisfaction. Additionally, emotional dissonance demonstrated a negative association with job satisfaction and a positive association with turnover intention. This is the first study to highlight the importance of emotional states and contextual factors on well-being and job-related attitudes in the physical education context.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

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

최근 본 자료

전체보기

댓글(0)

0