A Study on the Intention to Use the Online Face Mask Ordering System - An Application of Network Psychometrics

ABSTRACT

In December 2019, the coronavirus disease (COVID-19) pandemic emerged in Wuhan city, China and it quickly spread to across the world. Many experts suggest that wearing medical masks is a good protection against this disease. To help citizens obtain face masks, Taiwanese government instituted a name-based mask rationing system. This study intends to construct a research model which based on the Technology Acceptance Model (TAM) in the context of using the face mask ordering system to buy face masks. The research factors in the study include measurements of perceived usefulness of online face mask ordering system, perceived ease of use of online face mask ordering system, and the users' behavioral intention to use online face mask ordering system. Responses from a total of 120 users of the face mask ordering system were collected. After all, this study has identified important factors in perceived usefulness and perceived ease of use of this mask distribution system. It may provide the Minister of Health with implications for factors in users' intention to use this system. Understanding these factors may help the government increase users' willingness to use this online service when buying face masks. © 2020 IEEE.