인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
학술저널
DBpia Top 5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
As technological advancements have rapidly progressed over time periods, research in logistics and supply chain management has also evolved accordingly. This paper aims to analyze the direction of research development in these research areas by extracting keywords from three major journals. Based on the keywords, a semantic network analysis was conducted to visualize and analyze the relationships between the keywords. Furthermore, the recent research trends were examined by dividing the keywords associated with each research area into different time periods. For logistics management, keyword analyses were conducted based on six categories over time periods. In supply chain management, keyword analyses were conducted based on two categories, which were further divided into two and three sub-categories respectively, for a more detailed analysis. Additionally, we review the annual reports of funded research projects between 2018 and 2024, specifically within the scope of supply chain risk management, supported by the division of ICT․Convergence Research. By comparing these trends with key concepts required in Industry 5.0, we suggest future research directions in the areas of logistics and supply chain management. Accordingly, we expect to contribute to understanding the past and present of logistics and supply chain management, while offering insights into its future directions. In addition to its academic contributions, we expect to provide practical insights that can help industries enhance their competitiveness in a rapidly changing environment.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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