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
이정만 (단국대학교 다산LINC3.0사업단, 산학협력중점교수)
저널정보
한국미용학회 한국미용학회지 한국미용학회지 제30권 제1호
발행연도
2024.2
수록면
130 - 142 (13page)
DOI
https://doi.org/10.52660/JKSC.2024.30.1.130

이용수

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

초록· 키워드

오류제보하기
The cosmetics industry in Korea, which exports have recently grown rapidly, can be said to have been influenced by the continued Korean Wave overseas. However, based on the experiential marketing theory that connects to value relationships with customers, there is very little analysis of the impact of the Korean Wave on the image and purchase of Korean products. This study empirically analyzed the impact of the Korean Wave on cosmetic product image and product purchase intention among 260 Chinese and Indonesian female consumers by the structural equation models using AMOS 26.0. Among the sub-factors of experiential marketing, feel experience, sense experience, think experience, and act experience had a significant effect on cosmetic product image and purchase intention, but relate experience had no effect. A comparison between the two countries showed a significant difference. In China think experience and sense experience had a significant impact on the cosmetic product image, but in Indonesia sense experience and relate experience had a significant impact on the cosmetic product image. The impact of cosmetics product image on purchase intention was greater than that of other experience factors in both countries, while China had a slightly greater influence than Indonesia. The results of this study can be used to improve the image of cosmetic products and promote sales promotion policies using the Korean Wave. Since the impact of the Korean Wave varies depending on the country, local culture and characteristics must be taken into consideration or differentiated Korean Wave promotion policies must be implemented.

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