[논문]코로나19 이후 공급사슬 리스크에 대한 현황연구: 네트워크 분석을 중심으로

정의범; 오건택

doi:10.9723/jksiis.2023.28.4.077

코로나19 이후 공급사슬 리스크에 대한 현황연구: 네트워크 분석을 중심으로
A Study on the Current Status of Supply Chain Risks after COVID-19: Focusing on Network Analysis 원문보기

한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.28 no.4, 2023년, pp.77 - 92

정의범 (한신대학교 경영학과) , 오건택 (한국과학기술원 기술경영학부)

초록
AI-Helper

본 연구는 코로나19 이후 공급사슬 리스크에 대한 주요 이슈와 연구 동향을 살펴보기 위해 해외 및 국내 저널을 바탕으로 키워드 네트워크 분석을 수행하였고, 뉴스와 기사를 대상으로 네트워크 텍스트 분석을 실시하였다. 선행연구에서 상대적으로 부족했던 코로나19 이후에 대한 공급사슬 리스크를 분석한 결과, 코로나19 이후 해외 및 국내 저널, 나아가 뉴스 기사에서 이전 선행연구와는 다른 공급사슬 리스크 회복, 대응 및 민생 등과 같은 연구 동향을 알 수 있었고, 기업에 있어 공급사슬 리스크에 대한 실무적 전략 및 통찰력을 제안할 수 있었다.

Abstract ▼ AI-Helper

In this study, keyword network analysis was performed based on global and domestic journals, and network text analysis was conducted for news and articles to examine major issues and research trends on supply chain risks after COVID-19. As a result of analyzing the supply chain risk, after COVID-19 which was relatively insufficient in previous studies, research trends and topics such as supply chain risk recovery, response and public welfare, which are different from previous previous studies, were found in global and domestic journals, news and articles and it was possible to suggest practical strategies and insights for supply chain risk strategies for firms.

주제어

표/그림 (12)

표 Table 1 Research design
그림 Fig. 1 Number of papers published (Global papers vs. Domestic papers)
그림 Fig. 2 Number of supply chain risk news articles
표 Table 2 Structural features of keyword network
그림 Fig. 3 Keyword network of global papers
그림 Fig. 4 Keyword network of domestic papers
그림 Fig. 5 Keyword network of news articles
표 Table 3 Degree centrality result of keyword network
표 Table 4 Betweenness centrality result of keyword network
표 Table 5 Closeness centrality result of keyword network
표 Table 6 Key keywords by group
표 Table 7 Key topics according to major keywords

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