물류 시스템에서 드론의 비중은 계속 증가하는 상황이다. 이러한 측면에서 본 연구는 SNA 방법론을 활용하여 물류산업에서 드론의 연구동향을 파악하는 것을 목적으로 하였다. 분석을 위해 국외 학술논문 DB를 이용해 논문을 수집하여 키워드 네트워크 분석을 수행하였다. 먼저 연결중심성 분석결과, 1위는 Drone, 다음으로는 UAV, Logistics, City Logistics 등이 도출되었고, 5위와 6위로 각각 Last-Mile Delivery, Autonomous Vehicles가 나타났다. 분석결과를 통해 물류산업에서 최신 연구동향 파악이 용이하다. 또한, 2019년부터 게재된 논문들은 물류의 효율성을 위해 우선적으로 고려해야 하는 라스트 마일과 드론을 이용한 복합적인 연구가 진행되는 것을 확인할 수 있었다. 매개중심성 분석결과, Drone, UAV, Logistics가 연결중심성 결과와 마찬가지로 1~3위를 차지했다. 한편 근접중심성 분석결과, Drone, UAV, Logistics, Last-Mile Delivery, Autonomous Vehicles가 각각 1위부터 5위로 나타났다. 연구결과는 향후 국내 물류산업에서 드론의 추가 활용분야 파악에 시사점을 제시할 수 있다.

The proportion of the use of drones has increased in the logistics system continuously. In this respect, this study aims to identify the research trend of drones in the logistics industry using social network analysis method. For the analysis, a keyword network analysis was conducted by collecting papers using academic paper databases in overseas. First, in the Degree centrality analysis results, a drone was ranked first followed by an UAV, logistics, and city logistics. The fifth and sixth were last-mile delivery and autonomous vehicles. The latest research trend in the logistics industry can be easily identified through the analysis results. In addition, this study verified that papers published since 2019 were composite studies using last mile and drones that should be considered first for the efficiency of logistics. The Betweenness centrality analysis results exhibited that drone was ranked first followed by UAV and logistics, which was the same results as the degree centrality. The Closeness centrality analysis results revealed that UAV ranked first followed by UAV, logistics, last-mile delivery, and autonomous vehicles from the first to fifth. The study results can present the implications to identify the additional use areas of drones in the logistics industry in Korea in the future.