Blockchain Oriented Effective Charity Process During Pandemics and Emergencies
IEEE Transactions on Computational Social Systems
; : 2023/11/01 00:00:00.000, 2022.
Article
in English
| Scopus | ID: covidwho-2231722
ABSTRACT
During any emergency, a donation is considered a moral responsibility all over the globe. The lack of transparency and oversight in charity donations hurts people’s enthusiasm to donate. Donors are distrustful about how their funds are utilized. The use of blockchain technology (BCT) will provide a solution to make the donation procedure more viable. It is a distributed technology that offers a secure and transparent environment by avoiding the involvement of third parties between contributors and charities. This article proposed a blockchain-based donation mechanism for the convenience of charity organizations, donors, and beneficiaries during disasters, pandemics such as Covid-19, and other emergencies. All transactions can be traced in blockchain, giving donors visibility into where and how their funds are utilized. This article contributes to improving donations’openness to strengthen public interest in donations and encourage BCT in charity. Ethereum blockchain is used to implement the proposed framework and provides a convenient donation platform. Smart contracts are used to make donations, which build trust between contributors, beneficiaries, and charity organizations. The blockchain-based donation method saves time, lowers donation costs, and eliminates the chances of dubious campaign funds. This study will contribute to improving emergency recovery efforts. IEEE
Blockchain technology (BCT); Blockchains; charitable trusts; Disaster management; disasters; donation platform; ethereum; Government; History; pandemic; Pandemics; Registers; smart contracts; Blockchain; Disaster prevention; Block-chain; Blockchain technology; Charitable trust; Register; Smart contract
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
IEEE Transactions on Computational Social Systems
Year:
2022
Document Type:
Article
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