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
신찬혁 (KAMC) 신만수 (고려대학교) 홍가혜 (고려대학교)
저널정보
한국국제경영관리학회 국제경영리뷰 국제경영리뷰 제23권 제4호
발행연도
2019.1
수록면
93 - 110 (18page)

이용수

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

초록· 키워드

오류제보하기
To maintain local subsidiary employees, it is important for managers of a multinational corporation to understand the mechanism of appropriate local leadership styles. Based on the social exchange theory, this study analyzes the mechanism by which transformational leadership affects employees’ turnover intention across cultures using both Korean and US samples. Further, to investigate leader-subordinate relationship, this study examines whether the effectiveness of transformational leadership is contingent on leader-subordinate rank differences by examining the moderating role of hierarchical rank distance in the organization. Based on 507 Korean and US employees, the results show that affective commitment partially mediates the relationship between transformational leadership and subordinates’ turnover intention both in Korea and the US. Additionally, it confirms that the moderating effect of hierarchical rank distance strengthens the effectiveness of transformational leadership on affective commitment in diminishing employees’ turnover intention in both countries. Specifically, the negative effect of rank distance on turnover intention is stronger for the higher power distance culture (Korea) than for the lower one (The US). This study highlights the universal role of affective commitment as it translates transformational leadership into negative turnover intention in both Korean and US employees. Also, it emphasizes that leader-subordinate relation is particularly critical for Korea where high power distance and collectivism is prevalent cultural norms. According to the results, theoretical and practical implications of this study are suggested.

목차

등록된 정보가 없습니다.

참고문헌 (87)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0