Abstract

This study examines the position and status of individual logistics industries in Korea and the structure of their relationship with all industries from the perspective of the entire network, so that what strategies should be used for each type of logistics industry and what industries and network structures should be strengthened in the future. The purpose is to present To achieve this, a unit structure matrix function using the modified industry association table was prepared, and network analysis was performed using Ucinet6 and NetDraw as a social network analysis. Through this, the social network characteristic index (centrality) and network structure visualization analysis were performed as the degree of connection between industries.BR To summarize the academic and practical implications of the results of this study, first, a study was conducted on the characteristics and structure of the relationship network between the logistics industry and all industries. Second, as a network index analysis, the centrality index was analyzed and the results were presented. Third, as a social network analysis, industries that are closely related to individual logistics industries and those that do not are identified. Therefore, for the development of the logistics industry in the future, it is suggested which industries and the level of network connection should be improved from a strategic point of view of selection and concentration.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.