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
Jay R. Fraser (Soongsil University) Moosung Chung (Soongsil University) Hongsik J. Cheon (Soongsil University)
저널정보
사람과세계경영학회 Global Business and Finance Review Global Business and Finance Review Vol.28 No.3
발행연도
2023.6
수록면
50 - 67 (18page)
DOI
10.17549/gbfr.2023.28.3.50

이용수

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

초록· 키워드

오류제보하기
Purpose: This study investigates which message appeals more effectively induce consumers' ethical consumption by using combinations of self- or other-benefit appeals with future or present benefits and determines whether priming personal norms or social norms influences the effect. Design/methodology/approach: To test the theoretically derived priori hypotheses concerning the role of benefit, temporal distance, norms, and ethical consumption message, this research presented three experiments (two-Way ANOVA). The first test showed no difference in ethical consumption between the self- and other-benefit appeal types. The second experiment tested the hypothesis that self-benefit and other-benefit appeals are more effective for present and future benefits, respectively. The final experiment assessed whether self-benefit and other-benefit appeals primed with personal and social norms, respectively, would be more effective. Findings: Our results suggest that the appeal approach should be combined with either social or personal norms when the benefit is received to create more effective marketing messages when advertising ethical goods. Research limitations/implications: Owing to the growing trend in ethical consumption, we are becoming more concerned about animal welfare and seeking ethical meat options. Originality/value: This study promotes environmental sustainability, demonstrating that Method Products manufactures goods utilizing eco-friendly materials.

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