A systematic literature review on humanitarian logistics using network analysis and topic modeling

被引:4
作者
Kim, Jin Ju [1 ]
Jang, Hyunmi [1 ,3 ]
Roh, Saeyeon [2 ]
机构
[1] Pusan Natl Univ, Grad Sch Int Studies, Int logist & Port Management, Busan, South Korea
[2] Plymouth Univ, Plymouth Business Sch, Int Logist, Plymouth, England
[3] 2 Busandaehak-ro, 63beon-gil, Busan 46241, South Korea
关键词
Humanitarian logistics; Systematic literature review; Keyword network analysis; Topic modeling; SUPPLY CHAIN MANAGEMENT; OR/MS RESEARCH; OPERATIONS; EMERGENCY; FRAMEWORK; TRENDS;
D O I
10.1016/j.ajsl.2022.10.003
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The aim of this paper is to conduct a systematic literature review to understand the research trends, identify area of improvements and recommend the future research direction in humanitarian relief logistics (HRL). Using Netminer 4.0, keyword network analysis, keyword frequency analysis, and topic modeling analysis were undertaken. As a result, it has been identified that the number of studies on HRL continuously in-creased since it mounted in the mid-2010s, with the main issues changing by period. Keyword network analysis and keyword frequency analysis discovered that establishment of the HRL identity and disaster response, preparation and recovery were the main issues from 2005 to 2009. Whereas followed by edu-cation and practical logistics flow (2010 - 2014) and provision and coordination (2015 - 2019) to be the main focused area of research. Through topic modeling analysis, nine topics (preparation, coordination, stakeholders, sustainable development, facilities location, recovery, supplying and sourcing, emergent response, transportation, supplying and sourcing) were extracted. Facilities location was the most frequent topic that studied in the number of papers. Meanwhile, recovery, preparation, stakeholders, and emergent response showed downward trends but facilities location, coordination, and supplying and sourcing showing upward. This study is significant in the sense that it suggests research trends in different approach using keyword network analysis, keyword frequency analysis, network analysis and topic modeling which are one of the first attempts in research trend analysis in HRL field. This study will support HRL studies by understanding macroscopic and comprehensive way and set as a steppingstone for future research direction.(c) 2022 The Authors. Production and hosting by Elsevier B.V. on behalf of The Korean Association of Shipping and Logistics, Inc. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:263 / 278
页数:16
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