토픽모델링과 네트워크분석을 통해 살펴본 국제운송에 관한 연구 동향 분석

• 영문명: Analysis of research Trends in International Transportation Research through Topic Modeling and Network analysis
• 발행기관: 한국해양비즈니스학회
• 저자명: 우정훈(Jeong-Hoon Woo) 황지현(Ji-Hyeon Hwang)
• 간행물 정보: 『해양비즈니스』제57호, 47~72쪽, 전체 26쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2023.12.31

영문 초록

This study attempted to objectively grasp the research trend of international transportation and suggest the direction of future international transportation research by conducting a meta-analysis after converting research related to international transportation published in domestic journals into big data. To this end, as a result of conducting topic modeling, research related to international transportation was classified into four topics, and topics by topic were selected as 'company's international transport service', 'subject and target of international transportation', 'international transportation and insurance', and 'risk and responsibility of international transportation'. In the network analysis, the network of keywords could be schematized, and it could be seen that many keywords were connected centering on international transportation, logistics, and trade. International transportation was connected to trade, cargo, services, logistics, and companies, and in particular, many studies including the keywords 'trade', 'freight', and 'logistics' can be seen. 'Aviation' was linked to keywords such as 'service', 'export', and 'logistics', and 'trade' was found to have a large number of papers related to 'freight', 'China', and 'sea'. In addition, it was confirmed that 'China' is the only country among other countries that has a large number of papers connected to various keywords.

목차

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 연구 방법

Ⅳ. 분석 결과

Ⅴ. 결 론

참고문헌

키워드

국제운송 빅데이터분석 토픽모델링 네트워크분석 International transportation big data analysis topic modeling network analysis