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
윤규미 (가톨릭관동대학교)
저널정보
관광경영학회 관광경영연구 관광경영연구 제24권 제4호
발행연도
2020.1
수록면
367 - 386 (20page)

이용수

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

이 논문의 연구 히스토리 (3)

초록· 키워드

오류제보하기
The purpose of this study was to present a model of how the Air Self Service Technology affects the behavioral intentions of non-users, and to clarify the relationship between these factors. The time range of the study was set as the base year in 2019. The target range was general adults over 20 years of age who have experienced overseas tourism within the past 2 years. The place range was limited to passengers who have never used air SST at the at Incheon International Airport first and second terminal. In the questionnaire survey, a questionnaire survey was conducted using a self - filling questionnaire by a survey company. A total of 260 copies were distributed and retrieved. A total of 244 questionnaires were used, except for 16 questionnaires with low response rates and unresponsive responses. The empirical analysis was analyzed using the SPSS WIN Ver 22.0 statistical package program after the questionaaire was collected. A total of 4 hypotheses and 6 sub-hypotheses were set to achieve the purpose of this study. As a result of the hypothesis test, 10 out of 10 hypotheses were adopted, and the relevance of aviation self service technology to the influence on the intention of the non-users’ behavior was verified. In this study, we analyzed the attitude and some behaviors in air SST non-users, and there are limitations as follows, it is judged that there are limitations on the sample because the questionnaire is conducted for passengers who use the first and second Incheon International Airport. It is considered that research should be conducted not only at Incheon International Airport but also at other airports where SST is displayed.

목차

등록된 정보가 없습니다.

참고문헌 (59)

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