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Resource management in disaster relief: a bibliometric and content-analysis-based literature review

Resource management in disaster relief: a bibliometric and content-analysis-based literature review
Resource management in disaster relief: a bibliometric and content-analysis-based literature review

Disasters cause huge economic losses, affect the lives of many people, and severely damage the environment. Effective resource management during disaster preparedness and response phases improves distribution efforts and service levels and, hence, accelerates the disaster relief operations. Resource management in response to catastrophe has received increasing research attention in recent years, but no review paper focuses on this specific topic. Thus, the main purpose of this paper is to review the existing literature on resource management for disaster relief published in English in peer-reviewed journals in order to fill the gap. We apply bibliometric, network, and content analyses in our review to identify popular research topics, classify the literature into research clusters, and analyze the interrelationships between these research clusters. The second purpose of this paper is to identify gaps and trends in existing research. Finally, we propose six future research directions that provide a roadmap for resource management research for disaster relief.

Bibliometric, Content analysis, Disaster management, Emergency resource, Literature review, Network analysis
0254-5330
Geng, Shaoqing
5ece345a-ef97-47ef-8f7e-1872b5f53f08
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Hou, Hanping
8e50bd53-2957-48d3-b77a-f1c91d5ad4d7
Yang, Jianliang
4f29196a-5127-4511-8dba-4aea32a4e25e
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Geng, Shaoqing
5ece345a-ef97-47ef-8f7e-1872b5f53f08
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Hou, Hanping
8e50bd53-2957-48d3-b77a-f1c91d5ad4d7
Yang, Jianliang
4f29196a-5127-4511-8dba-4aea32a4e25e
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80

Geng, Shaoqing, Gong, Yu, Hou, Hanping, Yang, Jianliang and Onggo, Bhakti Stephan (2024) Resource management in disaster relief: a bibliometric and content-analysis-based literature review. Annals of Operations Research. (doi:10.1007/s10479-024-06324-7).

Record type: Article

Abstract

Disasters cause huge economic losses, affect the lives of many people, and severely damage the environment. Effective resource management during disaster preparedness and response phases improves distribution efforts and service levels and, hence, accelerates the disaster relief operations. Resource management in response to catastrophe has received increasing research attention in recent years, but no review paper focuses on this specific topic. Thus, the main purpose of this paper is to review the existing literature on resource management for disaster relief published in English in peer-reviewed journals in order to fill the gap. We apply bibliometric, network, and content analyses in our review to identify popular research topics, classify the literature into research clusters, and analyze the interrelationships between these research clusters. The second purpose of this paper is to identify gaps and trends in existing research. Finally, we propose six future research directions that provide a roadmap for resource management research for disaster relief.

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s10479-024-06324-7 - Version of Record
Available under License Creative Commons Attribution.
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More information

Accepted/In Press date: 20 September 2024
Published date: 18 October 2024
Keywords: Bibliometric, Content analysis, Disaster management, Emergency resource, Literature review, Network analysis

Identifiers

Local EPrints ID: 495730
URI: http://eprints.soton.ac.uk/id/eprint/495730
ISSN: 0254-5330
PURE UUID: 86d6ff33-f210-474e-a23f-80ffc66e5072
ORCID for Yu Gong: ORCID iD orcid.org/0000-0002-5411-376X
ORCID for Jianliang Yang: ORCID iD orcid.org/0000-0003-3589-6807
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 21 Nov 2024 17:32
Last modified: 22 Nov 2024 02:57

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Contributors

Author: Shaoqing Geng
Author: Yu Gong ORCID iD
Author: Hanping Hou
Author: Jianliang Yang ORCID iD

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