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
Shuya Fang (인하대학교) 이상윤 (인하대학교)
저널정보
한국무역연구원 무역연구 무역연구 제17권 제5호
발행연도
2021.10
수록면
149 - 169 (21page)
DOI
http://dx.doi.org/10.16980/jitc.17.5.202110.149

이용수

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

초록· 키워드

오류제보하기
Purpose - Blockchain technology can authentically record and transmit the flow of funds, logistics, and information as well as optimize resource utilization, compress intermediate links, and improve the overall efficiency of the logistics industry. Analyzing how blockchain is applied in the logistics industry and identifying the factors affecting blockchain technology application are the main purpose of this research paper. Design/Methodology/Approach - ased on the panel data, this paper utilizes a binary choice model to analyze the influencing factors affecting the blockchain technology application at the micro-level of logistics listed companies in China. Findings - This paper is an empirical study on the application of blockchain technology in the logistics industry. This study shows that a company’s size, ownership structure, and employee education level are critical factors that have a significant influence on the company’s application of blockchain technology. Research Implications - Through the literature study, it can be understood that blockchain technology is being applied by various drivers related to the improvement of corporate performance and competitiveness in the logistics industry. In addition, this empirical study shows that the polarization of competitiveness within the industry can be deepened as digital transformation technologies such as blockchain are introduced mainly by large companies. At the same time, it can be seen that the flexibility of decision-making structures and the securing of high-quality human resources are important for the introduction of innovative technologies.

목차

등록된 정보가 없습니다.

참고문헌 (57)

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