[논문]R을 활용한 한국의 스마트물류 연구동향 분석과 시사점

송민근

doi:10.14400/jdc.2021.19.9.169

R을 활용한 한국의 스마트물류 연구동향 분석과 시사점
A Study on Research Trends in Korea's Smart Logistics Field by using R and its implications 원문보기

디지털융복합연구 = Journal of digital convergence, v.19 no.9, 2021년, pp.169 - 180

송민근 (전주대학교 경영대학 물류무역학과)

초록
AI-Helper

본 연구는 R을 활용한 사회네트워크 분석(SNA)을 실시하여 국내 스마트물류에 관한 연구 동향을 분석하고 스마트물류 현황 및 정책 검토 등과 함께 스마트물류 분야에 대한 이해를 높이고 시사점을 도출하는 데 목적이 있다. 분석 기간과 대상은 지난 10년간(2011~2020년) 스마트물류 주제의 학술지 논문 128편이며, 결과는 4차 산업혁명이 공식 언급된 2016년 1월 세계경제포럼(WEF)을 기준으로 전기(2011~2015년)와 후기(2016~2020년)로 구분하고 빈도분석, 네트워크 중심성 분석, 시각화 등을 진행했다. 주요 연구결과는 연구의 양적 증가와 분야의 다양화 그리고 중복 키워드 비중의 확대로 핵심 분야에서 연구 집중도가 높아지는 것을 확인했으며, Logistics, Authentication, Smart, Service, RFID, Technology, Revolution 등 매개중심성과 연결중심성이 높은 키워드를 제시했다. 또한, 연구대상 논문의 핵심 키워드로 네트워크를 시각화한 이후 매개중심성을 중심으로 구조를 검토했으며 분석의 대상이 된 초기 연구가 물류 분야에 집중되었다면, 2016년 이후 4차 산업혁명 및 주요 기술 등으로 연구의 중심이 다양화 및 확대되고 있음을 확인했다. 분석결과와 함께 스마트 물류 동향과 국내 정책 등을 검토했으며 연구의 한계점 및 향후 연구과제를 제시했다.

Abstract ▼ AI-Helper

This study analyzed research trends on smart logistics in Korea by conducting social network analysis (SNA) using R. The purpose of this study is to enhance the understanding of the smart logistics field along with the smart logistics status and policy review, and to suggest implications and future research tasks. The analysis period and subjects were 128 academic journal papers on smart logistics-related topics over the past 10 years (2011-2020), and the results were divided into the first half (2011-2015) and the second half (2016-2020). The analysis of the study was carried out step-by-step through frequency analysis, network centrality analysis, and visualization. As a result of the study, the quantitative increase and diversification of the research field were confirmed. It was also confirmed that the concentration of research on core areas increased by increasing the proportion of duplicate keywords. In addition, keywords with high betweenness centrality and degree centrality score such as Logistics, Authentication, Smart, Service, RFID, Technology, and Revolution were presented. Lastly, this study reviewed the structure with a focus on betweenness centrality after visualizing the network with main keywords. As a result, early research was focused on the field of logistics, and after 2016, it was confirmed that the center of research was diversifying and expanding with the development of the 4th industrial revolution and major technologies.

주제어

표/그림 (15)

그림 Fig. 1. Covid-19 Expectations in March 2020
표 Table 1. Covid-19 Expectations and Results
그림 Fig. 2. Research Flow
그림 Fig. 3. KCI Papers in the field of Smart Logistics
그림 Fig. 4. Keyword Frequency Analysis by year
표 Table 2. Keyword Frequency Analysis by period
표 Table 3. Keyword Frequency Analysis by year
표 Table 4. Keyword co-occurence Analysis
그림 Fig. 5. Result of Visualizing Keywords in 2011-2015
그림 Fig. 6. Betweenness dendrogram in 2011-2015
그림 Fig. 7. Network based on Betweenness in 2011-2015
그림 Fig. 9. Betweenness dendrogram in 2016-2020
그림 Fig. 8. Result of Visualizing Keywords in 2016-2020
그림 Fig. 10. Network based on Betweenness in 2016-2020
표 Table 5. Data of Centrality (Betweenness, Degree)

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표제어: PCR

동의어: Packet Collision Rate

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