특허 네트워크 분석 및 Word2Vec을 활용한 물류기술동향에 관한 연구

Technologic developments such as artificial intelligence (AI), the Internet of Things, and big data have led to the disappearance of boundaries between industries, and innovations that fuse technologies and overcome limitations are occurring at a rapid pace. Logistics is an area that deals with processes involved from customer order to delivery and is developing in various fields such as IT, automation, prediction, transportation, warehouse, and storage. Private companies and governmental organizations use expert interviews and literature research methods to study the flow of technological changes in the logistics industry, but research and published information on the subject are insufficient. Therefore, this study was undertaken to determine the directions of domestic logistics technology changes using patent information. To this end, 3,019 Korean patent applications registered from 2001 to 2020 in the International Patent Classification (IPC) system were subjected to network simultaneous classification analysis and Word2Vec analysis. The results obtained confirmed that the domestic logistics industry is close to technological convergence in the purchasing, sales, and service fields and traditional logistics areas such as unloading, transportation, and storage. We predict technological convergence will occur in the reverse direct purchase (CBT), cloud, and automation fields. This study provides practical assistance to corporate practitioners wanting to promote logistics technology strategies and policy managers wishing to participate in government R&D projects.