산업연관분석과 단위구조행렬을 활용한 육상 운송업의 산업간 유발계수와 사회연결망 네트워크 연결성에 대한 연구 (A Study on Inter-Industry Inducement Coefficient and Social Network Connectivity of Land Transportation Industry Using Industry Linkage Analysis and Unit Structure Matrix)

서지정보

· 발행기관 : 한국로지스틱스학회
· 수록지 정보 : 로지스틱스연구 / 30권 / 1호 / 1 ~ 22페이지
· 저자명 : 박성민, 박찬권

초록

This study utilizes industry linkage analysis to analyze not only the network connectivity index, but also the direction and visualization The purpose of this study is to study the location and current status of the land transportation industry and the structure of relationships with all industries through network analysis. The industry linkage table was revised and prepared using the industry linkage analysis commentary published by the Bank of Korea and the industry linkage table in 2015, and various inducement coefficients were analyzed using an inverse matrix function. In addition, a unit structure matrix function was created, and using this, Ucinet6 and NetDraw were used to analyze the social network connectivity (centrality) index and network visualization. The implications of the study are summarized as follows. First, a study was conducted on the relationship structure between the land transportation industry and all industries, so that logistics-related management practitioners could clearly understand the related parts between the industry they were working in and other industry sectors. Second, the input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were analyzed in the land transportation sector, and the results were synthesized. Third, the connectivity (centrality) index for the network structure of social networks between all industries and logistics industries was analyzed using Ucinet6 and NetDraw, and it appears to have network connections with 30 industries.

영어초록

This study utilizes industry linkage analysis to analyze not only the network connectivity index, but also the direction and visualization The purpose of this study is to study the location and current status of the land transportation industry and the structure of relationships with all industries through network analysis. The industry linkage table was revised and prepared using the industry linkage analysis commentary published by the Bank of Korea and the industry linkage table in 2015, and various inducement coefficients were analyzed using an inverse matrix function. In addition, a unit structure matrix function was created, and using this, Ucinet6 and NetDraw were used to analyze the social network connectivity (centrality) index and network visualization. The implications of the study are summarized as follows. First, a study was conducted on the relationship structure between the land transportation industry and all industries, so that logistics-related management practitioners could clearly understand the related parts between the industry they were working in and other industry sectors. Second, the input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were analyzed in the land transportation sector, and the results were synthesized. Third, the connectivity (centrality) index for the network structure of social networks between all industries and logistics industries was analyzed using Ucinet6 and NetDraw, and it appears to have network connections with 30 industries.

참고자료

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