Tan, Jackson Juatco and Arceo, Virginia Ramirez and Parcia, Richard (2022) The influence of time and crowdfunding donation on Covid-19: A generalized linear model approach. Journal of Computational Innovation and Analytics (JCIA), 01 (01). pp. 85-111. ISSN 2821-3408

Preview

PDF - Published Version Available under License Attribution 4.0 International (CC BY 4.0). Download (1MB) | Preview

Abstract

The purpose of this study was to examine the effects that time and community assistance (in the form of donations) had on accrued recoveries from the Novel Coronavirus. This study examined donation transaction data from a community-based national virtual donation platform in conjunction with government released figures on populations and COVID-19 cases in the Philippines. Findings from a Generalized Linear Model showed that at a 0.001 level of significance, the passage of time affected accrued recoveries by about 14 (13.23) daily, while cumulative individual donations improved recoveries by about 2 (1.69) people. A series of simulations that visualized the effects of time and donations on recoveries evidenced that accrued recoveries were accelerated by donations. Results from the analysis generated a series of recommendations based on Resource-Advantage Theory, along with Disaster Management Theory as applied to supply-chains. The first recommendation was to allow broader access to the platform as an information exchange. An expansion of the crowdsourcing features on the platform was a second recommendation. A third recommendation was establishing a relief distribution network prior to the next disaster.

Item Type:	Article
Uncontrolled Keywords:	COVID-19, Donations, Disaster Management Theory, Resource-Advantage Theory, Generalized Linear Model
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Quantitative Sciences
Depositing User:	Mrs Nurin Jazlina Hamid
Date Deposited:	11 Jan 2023 01:31
Last Modified:	04 Apr 2023 09:24
URI:	https://repo.uum.edu.my/id/eprint/29085

Actions (login required)

View Item