The COVID-19 impact on humanitarian operations: lessons for future disrupting events

Shah, Bhavin, Frederico, Guilherme, Kumar, Vikas, Garza-Reyes, Jose Arturo and Kumar, Anil (2022) The COVID-19 impact on humanitarian operations: lessons for future disrupting events. Journal of Humanitarian Logistics and Supply Chain Management, 12 (4). pp. 473-481. ISSN 2042-6747

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Official URL: https://doi.org/10.1108/JHLSCM-10-2022-132

Abstract / Description

During wide spread of Corona Virus Disease (COVID19), it has been recorded that humankind plays a responsive role in collaboration with societies, governing authorities and controlling agencies (Haque and Islam, 2018) while managing resources during man-made or natural disasters. Sufficient literature is being noticed focusing on humanitarian relief operations (Anparasan and Lejeune, 2017) and supply risk mitigations (Maghsoudi et al. 2018) incurred due to the disasters. However, the role of volunteers and the workforce in relief planning, and recovery for pandemic and complex emergencies have not been explored adequately (Harpring et al. 2021). Furthermore, it is necessary to bring out clarity on how the way of managing humanitarian operations services differ during pandemics, man-made, and nature-inspired disasters. Models are developed to manage manpower and resources (Kebriyaii et al. 2021), vehicle capacities (Ershadi and Shemirni, 2021), and routing (Breitbarth et al. 2021) to protect and serve the vulnerable communities with essential supplies during pandemics. But, it raises the question of whether existing logistical networks and infrastructures are enough to aid necessary supplies during these events.

Item Type: Article
Additional Information: Copyright © 2022, Emerald Publishing Limited
Uncontrolled Keywords: Covid-19; humanitarian operations; relief planning
Subjects: 600 Technology > 650 Management & auxiliary services
Department: Guildhall School of Business and Law
Depositing User: Anil Kumar
Date Deposited: 27 Jun 2022 11:24
Last Modified: 30 Nov 2022 13:09
URI: https://repository.londonmet.ac.uk/id/eprint/7772

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