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
Seung Beom Kim (Hansung University) Hyoung-Yong Lee (Hansung University)
저널정보
한국경영학회 경영학연구 경영학연구 제52권 제5호
발행연도
2023.10
수록면
1,159 - 1,191 (33page)
DOI
10.17287/kmr.2023.52.5.1159

이용수

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

초록· 키워드

오류제보하기
The present study employed the extended value-based adoption model to examine the determinants that influence users" intention to utilize the Metaverse. The determinants impacting users" intention to adopt the Metaverse were identified as technical attributes (seamlessness, concurrence, telepresence, interoperability and economy flow) and personal characteristics (self-efficacy and social influence). For this purpose, the data obtained from 327 people was analyzed using SPSS 22 and Smart PLS 4. The results showed that perceived usefulness and perceived enjoyment were found to have a positive influence on perceived value. Meanwhile, technicality and perceived fee did not have a statistically significant negative effect on perceived value. Among the Metaverse characteristics, telepresence, interoperability, concurrence and economy flow were found to have a positive influence on perceived usefulness, and telepresence, interoperability and concurrence were found to have a positive influence on perceived enjoyment. Meanwhile, the NCA results indicate that telepresence, interoperability, and concurrence are necessary conditions for perceived usefulness, while concurrence is the only necessary condition for perceived enjoyment. In addition, we found that social influence and self-efficacy had a positive influence on intention to use the Metaverse. This study is significant in that it empirically analyzes the drivers of user acceptance of the Metaverse.

목차

Ⅰ. Introduction
Ⅱ. Conceptual framework and Hypothesis
Ⅲ. Methods
Ⅳ. Results
Ⅴ. Conclusion
References

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

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-151-24-02-088081345