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
Ju Hyoung Han (Kyung Hee University) Eunsil Lee (Michigan State University)
저널정보
한국관광연구학회 관광연구저널 관광연구저널 제30권 제10호
발행연도
2016.10
수록면
71 - 81 (11page)
DOI
10.21298/IJTHR.2016.10.30.10.71

이용수

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

초록· 키워드

오류제보하기
Green practices in the restaurant industry have become important as customers have become more ecologically conscious. A few attempts have sought to understand customer behavior toward green restaurants, yet previous studies tend to overlook customers’ underlying values of pro-environmental behavior toward green restaurants. This study proposed a model that incorporates three value orientations (i.e., altruistic, biospheric, and egoistic value orientations) to predict customer behavioral intentions toward green restaurants. A survey was conducted, and an exploratory factor analysis and a series of multiple regressions were employed. Results, in the first regression model, showed that a biospheric and an altruistic value orientation positively, yet an egoistic value orientation negatively, influenced willingness to choose a green restaurant. The second model showed that a biospheric and an altruistic value orientation positively affected behavioral intention to say positive things about a green restaurant, yet, no significant relationship was found between an egoistic value orientation and intention to say positive things. The third model showed that a biospheric and an egoistic value orientation, but no an altruistic value orientation, influenced willingness to pay a premium price at a green restaurant.

목차

Abstract
Ⅰ. Introduction
Ⅱ. Literature review
Ⅲ. Methods
Ⅳ. Results
Ⅴ. Discussion and implications
References

참고문헌 (42)

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-0101-2017-326-001573008