Joshi, Sudhanshu, Sharma, Manu, Das, Rashmi Prava, Muduli, Kamalakanta, Raut, Rakesh, Narkhede, B. E., Shee, Himanshu and Misra, Abhishek (2022) Assessing effectiveness of humanitarian activities against COVID-19 disruption: the role of blockchain-enabled digital humanitarian network (BT-DHN). Sustainability, 14 (1904). pp. 1-22. ISSN 2071-1050
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Abstract / Description
The COVID-19 pandemic has affected more than 214 countries across the world, disrupting the supply of essential commodities. As the pandemic has spread, humanitarian activities (HAs) have attempted to manage the various situation but appear ineffective due to lack of collaboration and information sharing, inability to respond towards disruption, etc. This study aims to determine and provide insights into the critical factors that may enhance the effectiveness of HAs during the pandemic. A systematic literature review was undertaken to explore critical factors and validated by experts using the fuzzy−Delphi method. These were further assessed to identify the cause-and-effect relationship by means of the fuzzy decision-making trial and laboratory (DEMATEL) method. The results show that building a blockchain-enabled digital humanitarian network (BT-DHN) is the most significant factor during the pandemic. The use of digital platforms for sharing real-time information enhances the effectiveness of HAs. This study offers stakeholders, policymakers, and decision-makers the opportunity to consider these factors in strategic planning to deal with pandemic disruption.
Item Type: | Article |
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Additional Information: | ** From MDPI via Jisc Publications Router |
Uncontrolled Keywords: | humanitarian activities (HAs); humanitarian organization (HO); pandemic disruption; COVID-19; blockchain-enabled digital humanitarian networks (BT-DHN) |
Subjects: | 600 Technology > 650 Management & auxiliary services |
Department: | Guildhall School of Business and Law |
SWORD Depositor: | Pub Router |
Depositing User: | Pub Router |
Date Deposited: | 11 Feb 2022 12:11 |
Last Modified: | 11 Feb 2022 12:11 |
URI: | https://repository.londonmet.ac.uk/id/eprint/7189 |
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