The influence of time and crowdfunding donation on COVID-19: A generalized linear model approach

Jackson Juatco Tan; Virginia Ramirez Arceo; Richard Parcia

doi:10.32890/jcia2022.1.1.5

Authors

Jackson Juatco Tan University of Santo Tomas
Virginia Ramirez Arceo University of Santo Tomas
Richard Parcia University of Santo Tomas

DOI:

https://doi.org/10.32890/jcia2022.1.1.5

Keywords:

COVID-19, disaster management theory, donations, generalized linear model, resource-advantage theory

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.

Author Biographies

Jackson Juatco Tan, University of Santo Tomas

Jackson Juatco Tan, Ph.D., is an Instructor in the Entrepreneurship Department of the College of Commerce and Business Administration at the University of Santo Tomas. Apart from instructing courses, he is also a Researcher at the Research Center for Social Sciences and Education, as well as a member of the Innovation and Technology Support Office (ITSO) for the University.
Virginia Ramirez Arceo, University of Santo Tomas

Virginia R. Arceo is currently an Assistant Professor teaching Mathematics in the Modern World, Business Statistics, Mathematical Analysis in Business, and Integral Calculus at University of Santo Tomas, Manila. Prior to this post, she was a high school math teacher for five years at Immaculate Conception Academy in Greenhills, San Juan. Asst. Prof. Arceo is a graduate of Doctor of Philosophy in Education Major in Mathematics Education at the University of the Philippines in Diliman, Quezon City. She obtained her Master of Arts Major in Mathematics degree at the same university and her Bachelor of Secondary Education Major in Mathematics, cum laude, at the Philippine Normal University, Manila. She is a member of professional organizations such as Philippine Council of Mathematics Teacher Educators (MATHTED) Inc. and Mathematics Society of the Philippines (MSP). She also co-authored General Mathematics and Statistics and Probability books for senior high school under Sibs Publishing House.

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