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
가오디 (Konkuk University) 남경두 (건국대학교) 전동석 (건국대학교)
저널정보
한국무역연구원 무역연구 무역연구 제19권 제2호
발행연도
2023.4
수록면
319 - 335 (17page)

이용수

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

초록· 키워드

오류제보하기
Purpose – This study aims to analyze, through empirical analysis, how the characteristics of TikTok's content, such as informativeness, entertainment, and empathy, affect the reliability and purchase intention of Korean products directly targeting Chinese consumers. Design/Methodology/Approach – The survey for this study targeted Chinese consumers that had placed an order using TikTok. The questionnaire was completed through Yunju Anxin, a highly reliable online survey company in China, and the questionnaire was sent only through SNS from July 1, 2022 to July 6, 2022. As a result, a total of 518 questionnaire responses were collected, and a total of 512 valid questionnaires were collected by removing questionnaires with missing values ​​and questionnaires judged to be significantly less reliable. Findings – In information, empathy, and entertainment factors, consumer trust, and consumer purchase intention were found to be statistically significant at the significance level of 0.000. In other words, as a result of multiple regression analysis, it was found that all three variables of information, empathy, and entertainment had a significant effect on the reliability of Korean products and consumer purchase intention. Research Implications – It was confirmed that the TikTok marketing of Korean products is an important factor influencing consumer purchase intentions, as in the results of previous studies. TikTok marketing should be operated strategically by utilizing the fact that information, sympathy, and entertainment, which are characteristics of TikTok content, have great influence on product marketing and consumer purchase intention.

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!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0