인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study aims to identify smart logistics trends and find actual and potential problems and issues in smart logistics by focusing on the cases of representative e-commerce companies in the United States, China, and Korea. To this end, 3,402 papers published between January 2001 and February 2024 were collected from Scopus, and word frequency, TF-IDF, and LDA topic modeling analyses were performed using Python 3. As a result of the study, five topics related to the current trends and issues in smart logistics were derived. They are “untact service for customer convenience”, “IoT-based technology”, “development of optimal logistics routes”, “technology used for last-mile delivery”, and “technology used for intelligent warehouses”. The practical contribution of this study is to provide smart logistics insights based on the cases of three representative e-commerce companies in the United States, China, and Korea to other companies so that they can implement new smart logistics systems or improve existing systems. In particular, it suggests future research directions such as improving the technology used in storage and internal logistics, optimizing the last-mile delivery method, and developing non-face-to-face services for consumer convenience. In this respect, this study fills the research gap in the literature and provides academic contributions.
본문·목차
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