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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Nan An (Chonnam National University) Il-Sang Go (Chonnam National University) Min Qu (Chonnam National University)
저널정보
한국인터넷전자상거래학회 인터넷전자상거래연구 인터넷전자상거래연구 제19권 제2호
발행연도
2019.4
수록면
19 - 46 (28page)
DOI
10.37272/JIECR.2019.04.19.2.19

이용수

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

초록· 키워드

오류제보하기
Under the context that SNS is turning to a commerce tool from a communicate tool, this study investigates the antecedents of value and attitude toward SINA Weibo advertising, and examines the role of social media advertising positive and negative attributes as determinants of perceived advertising value and user’s positive attitude toward advertising. Moreover, this study explored the relationships between perceived advertising value, user’s positive attitude toward advertising and users’ ads adoption. A conceptual model and hypotheses are tested with a sample of 304 SINA Weibo users, and conducted AMOS 22.0 analysis. Overall, the findings provided support for the model of the study. First, more informativeness, more entertainment, and more credibility to create higher user’s advertising adoption in the SINA Weibo environment. Second, user-defined customization directly affects the user`s attitude without the indirect impact of perceived value. Third, irritation is not important attributes affecting user’s perceived ad value and positive attitude toward SINA Weibo advertising. Fourth, privacy concerns also directly affects users` attitudes toward SINA Weibo advertising. The study adds to and expands our knowledge of the antecedents and consequences of SINA Weibo users behaviour regarding advertising and therefore act as a valuable base of social media advertising practitioners.

목차

Abstract
Ⅰ. Introduction
Ⅱ. Theoretical Background
Ⅲ. Research Model and Hypothesis
Ⅳ. Measurement and Result
Ⅴ. Conclusion
References

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

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-323-000681193