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
정수림 (가톨릭관동대학교 대학원생) 김형일 (가톨릭관동대학교)
저널정보
한국호텔리조트학회(구 한국호텔리조트카지노산학학회) 호텔리조트연구 호텔리조트연구 제19권 제6호
발행연도
2020.1
수록면
219 - 239 (21page)

이용수

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

이 논문의 연구 히스토리 (3)

초록· 키워드

오류제보하기
The purpose of this study is to organize the concepts of SNS marketing, local food image, and menu product satisfaction of restaurant companies through prior research and to derive factors applicable to restaurant businesses. Second, we would like to find out the relationship between SNS marketing of restaurant companies on the local food image and satisfaction of menu products. Third, based on the results of the study, we will identify consumer behavior through SNS marketing of restaurant companies, identify the behavior of customers in Gangneung, a tourist destination that has emerged since the 2018 Winter Olympics, and provide basic data for restaurant companies to establish more effective SNS marketing strategies. For the purpose, among tourists who visited tourist attractions in Gangneung with empirical data, a self-report questionnaire was used for men and women aged 50 or older who had experienced SNS marketing by a restaurant company through Q&A. A total of 306 questionnaires were distributed and retrieved over 20 days from August 27 to September 15, 2018, and a total of 300 copies were used as samples for the final analysis, except for six parts with insincere responses. The method of sampling questionnaire was used by the method of sampling judgment. The analysis of the collected data was performed using the statistical program in SPSS 21.0 and frequency analysis was performed to identify demographic characteristics. An exploratory factor analysis and reliability analysis were performed for measurement variables. In addition, multiple regression analysis was performed for hypothesis testing.

목차

등록된 정보가 없습니다.

참고문헌 (56)

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