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
강종헌 (순천대학교 조리과학과)
저널정보
한국식품조리과학회 한국식품조리과학회지 한국식품조리과학회지 제19권 제5호
발행연도
2003.1
수록면
581 - 590 (10page)

이용수

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

초록· 키워드

오류제보하기
The purpose of this study was to identify the combinations of factors combinations conferring the highest utility of family restaurants to university students, and establish the relative importance of these factors in terms of their contribution to total utility. 196 of 200 questionnaires were utilized for the analysis. (Eds note: to whom were the questionnaires administered) Frequencies, crosstabs, and the conjoint, max. utility, BTL and Logit models, K-means cluster and one-way ANOVA analysesis, and the Friedman test were the statistical methods used for this study. The findings from this study were as follows: 1) the Pearson's R and Kendall's tau statistics (Eds note: these were not mentioned earlier) show that the model (Eds note: which model is this) fits the data well. 2) it was found that of all the respondents, especially the first and third clusters, regarded both the type of food and the price as very important factors. 3) it was found that all the respondents, especially the third cluster, most preferred a family restaurant (design and simulation) that provided less than 6 fusion and traditional foods. The first cluster most preferred family restaurant (design) that provided over 10 traditional and less than 6 ethnic foods. The second cluster most preferred a family restaurant (design and simulation) that provided over 10 traditional foods. 4) the results of the study have provided some insights into the effective types of family restaurant designs that can be successfully developed by those who manage menu variety, quality and type of food, price, and quality of service to university students dining at family restaurants.

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