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
신상준 (호원대학교)
저널정보
관광경영학회 관광경영연구 관광경영연구 제21권 제4호
발행연도
2017.7
수록면
113 - 134 (22page)

이용수

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

초록· 키워드

오류제보하기
The perceived value of tourist and intention to use that the characteristics of mobile tourist information service aimed to be analyzed in this study. Important factors are inspected to grasp the needs that tourists have the needs for the characteristics of tourist information service and improve the long-term intention to use. The guideline for the service of mobile tourist information can be considered to be established in the future through this. The collection data has been implemented for 30 days from October 20, 2016 to November 20, 477 sheets of questionnaire have been collected by distributing total 600 sheets, the factor analysis and reliability verification have been implemented by using SPSS 22.0 and AMOS 22.0 for 437 sheets that the statistical analysis is possible out of this, the covariance structure analysis has been implemented to verify the proposed study hypothesis. The summary of analysis result is as follows. First, even though the Ubiquitous, situation awareness of the characteristics of mobile tourist information system appeared to have the significant influence on the social emotion. Second, even though the service quality, convenient accesses have the significant influence on the functional terms, the Ubiquitous, situation awareness and reliability appeared not to have the significant influence. Third, even though the Ubiquitous, situation awareness and convenient access of the characteristics of mobile tourist information system appeared to have the significant influence on the intention to use. Therefore, the useful implication foe the mobile tourist information service based on the analysis result has be proposed.

목차

등록된 정보가 없습니다.

참고문헌 (66)

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