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Research Trend Analysis of Green Logistics by Using Social Network Analysis

SNA를 활용한 친환경 물류 연구 동향 분석

  • Jiarong Chen (Graduate school of logistics, Incheon National University) ;
  • Jiwon Lee (Graduate school of logistics, Incheon National University) ;
  • Hyangsook Lee (Graduate school of logistics, Incheon National University)
  • 진가영 (인천대학교 동북아물류대학원) ;
  • 이지원 (인천대학교 동북아물류대학원) ;
  • 이향숙 (인천대학교 동북아물류대학원)
  • Received : 2022.11.24
  • Accepted : 2022.12.27
  • Published : 2022.12.30
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Abstract

Within the worse of the environment, Climate change caused by global warming is becoming serious around the world, and green logistics to pursue sustainable development in the logistics sector are receiving more and more attention. Along with the acceleration of the global economy, eco-friendly issues are playing an increasingly important role in the logistics industry, and various policy measures are being pursued to establish the green logistics system. This study aims to analyze research trends in eco-friendly logistics, and the SNA methodology was applied by extracting keywords from 518 domestic and foreign papers from 2013 to August 2022. The period is divided into three stages: 2013-2015, 2016-2019, and 2020-2022, and 'logistics' and 'sustainable development' were derived as top logistics eco-friendly keywords at all stages. Besides, In the first stage(2013-2015), the term 'environmental performance' and 'freight transport' attracted the attention of scholars. In the second stage(2016-2019), keywords such as 'third-party logistics' and 'lean logistics' have attracted the attention of scholars. In the third stage(2020-2022), the 'internet of things' and 'circular economy' received the attention of scholars. In line with the growth of the economy, it was confirmed that research related to eco-friendly logistics is gradually expanding to a sustainable concept. Based on this study, it is possible to grasp the research trends of the academic community to cope with recent environmental changes and provides reference materials to consider future research directions.

Keywords

Acknowledgement

This work is supported by the Korea Agency for infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, infrastructure and Transport(Grant RS-2022-00155629).

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