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
송주완 (우송대학교) 이걸재 (건양대학교)
저널정보
한국외식산업학회 한국외식산업학회지 한국외식산업학회지 제16권 제2호(통권 제47호)
발행연도
2020.6
수록면
249 - 264 (16page)

이용수

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

이 논문의 연구 히스토리 (4)

초록· 키워드

오류제보하기
The demand on new-tro is being increasingly higher as it provides new fun and freshness which middle age consumer groups have not experienced through existing retro consumption and gives the joy that young consumption groups in their 10-20s can experience the pleasure of feeling new from the old.
Accordingly, this study tries to figure out the effect of New-tro restaurant’s service scape on the ositive emotion and the royalty from consumers, and to suggest the implications that can help establish the effective management strategy of New-tro restaurant. To this end, the survey was conducted for 264 consumers who have experience in using New-tro restaurant within recent one month, and a frequency analysis, factor analysis, reliability analysis, regression analysis utilizing SPSS for Windows Version 18.0 statistics package were conducted for 237 samples, excluding 27 samples that were unfaithful to the response. As a result, the service scape was classified into five sub-factors of aesthetics, convenience, cleanliness, human service, and SNS activities, and positive emotions and loyalty were classified as a single factor. As a result of the hypothesis verification, first, the aesthetics, convenience, cleanliness, and SNS activities of the service scape were found to have a positive(+) effect on positive emotions. Second, positive emotions were found to have a positive(+) effect on loyalty. Based on these research results, it will be able to suggest implications that can increase customer loyalty by utilizing the service scape of New-tro Restaurant.

목차

Abstract
I. 서론
II. 이론적 배경
III. 연구 설계
IV. 실증 분석
V. 결론
참고문헌

참고문헌 (75)

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-0101-2020-324-000867551