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
전서현 (남양주시보건소) 탕첸첸 (경희대학교 의료경영학과) 김진남 (경희대학교)
저널정보
경희대학교 경영연구원 의료경영학연구 의료경영학연구 제18권 제1호
발행연도
2024.3
수록면
11 - 25 (15page)

이용수

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

초록· 키워드

오류제보하기
This study attempted to provide basic data for the efficient management of job demands, job burnout, and customer orientation of health center employees responsible for infectious disease management during COVID-19. The study was conducted from May 2 to May 13, 2022, at the Namyangju City Health Center in Gyeonggi Province, South Korea, with 238 participants, and the data analysis was conducted using IBM SPSS Statistics 26 and SmartPLS 3.3.9. The study found that work overload had a positive impact on emotional exhaustion and dehumanization, while decreased personal achievement was statistically insignificant. Role conflict and role ambiguity had a positive influence on emotional exhaustion, dehumanization, and low personal achievement. Temporal pressure had a positive impacte on emotional exhaustion and insignificant effects on dehumanization and decrease in personal achievement. Moreover in this study, the impact of emotional exhaustion, dehumanization, and decrease in personal achievement on customer orientation was analyzed. The results showed that emotional exhaustion had a negative impact on responsiveness, convenience, and reliability was statistically insignificant. Dehumanization also had a negative effect on responsiveness, convenience, and reliability. Decrease in personal achievement negatively affected responsiveness, while convenience, and reliability was statistically insignificant. Finally, the study investigated the differences in job demands on burnout and customer orientation between public employees (full-time, term, and government) and temporary workers. The results showed on no statistically significant disparities.

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