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특허 분석을 이용한 글로벌 스마트 물류 트렌드 분석: 국내 물류 산업 발전을 중심으로Analysis of Global Smart Logistics Trends Using Patent Analysis: Focusing on the Development of the Domestic Logistics Industry

Other Titles
Analysis of Global Smart Logistics Trends Using Patent Analysis: Focusing on the Development of the Domestic Logistics Industry
Authors
송영철류슬기박민영이다예윤병운
Issue Date
Sep-2024
Publisher
한국산업경영시스템학회
Keywords
Smart Logistics; Patent Analysis; Technology Capability Analysis; Promising Technology; Trend Analysis; LDA; Technology Strategy
Citation
한국산업경영시스템학회지, v.47, no.3, pp 181 - 190
Pages
10
Indexed
KCI
Journal Title
한국산업경영시스템학회지
Volume
47
Number
3
Start Page
181
End Page
190
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/26523
DOI
10.11627/jksie.2024.47.3.181
ISSN
2005-0461
2287-7975
Abstract
The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.
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