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Humanitarian logistics in disaster relief operations
Open accessAbstract
Purpose: This paper aims to further the understanding of planning and carrying out logistics operations in disaster relief. Design/methodology/approach: Topical literature review of academic and practitioner journals. Findings: Creates a framework distinguishing between actors, phases, and logistical processes of disaster relief. Drawing parallels of humanitarian logistics and business logistics, the paper discovers and describes the unique characteristics of humanitarian logistics while recognizing the need of humanitarian logistics to learn from business logistics. Research limitations/implications: The paper is conceptual in nature; empirical research is needed to support the framework. The framework sets a research agenda for academics. Practical implications: Useful discussion of the unique characteristics of humanitarian logistics. The framework provides practitioners with a tool for planning and carrying out humanitarian logistics operations. Originality/value: No overarching framework for humanitarian logistics exists in the logistics literature so far. The field of humanitarian logistics has so far received limited attention by logistics academics.
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Citations
Cited by
Optimization models in emergency logistics: A literature review
Caunhye, A. M., Nie, X., & Pokharel, S. (2012) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2011.04.004 · Cited by 854
Identifying challenges in humanitarian logistics
Kovács, G., & Spens, K. (2009) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030910985848 · Cited by 543
Self-citationA drone fleet model for last-mile distribution in disaster relief operations
Rabta, B., Wankmüller, C., & Reiner, G. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.02.020 · Cited by 336
Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., & Emrouznejad, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121562 · Cited by 279
Applications of big data in emerging management disciplines: A literature review using text mining
Kushwaha, A. K., Kar, A. K., & Dwivedi, Y. K. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2021.100017 · Cited by 255
Metadata
- Authors
- Kovács, G., & Spens, K. M.
- Venue
- International Journal of Physical Distribution & Logistics Management
- Publisher
- Emerald
- Published
- 2007-03-20
- Volume
- 37
- Issue
- 2
- Pages
- 99-114
- ISSN
- 0960-0035 (ISSN-L)
- OpenAlex
- W2043094361
- Cited by
- 1,223
- References
- 0
- FWCI
- 51.90
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
