Factors Influencing Intention to use the COVID-19 Contact Tracing Application

TL;DR

This study examines key factors affecting the intention to use COVID-19 contact tracing apps, highlighting the importance of performance expectations, trust, and privacy in influencing user adoption.

Contribution

It identifies specific psychological and trust-related factors that significantly impact users' willingness to adopt COVID-19 contact tracing applications.

Findings

Performance expectations influence usage intention

Trust and privacy significantly affect user adoption

Social impact and effort expectation are not significant

Abstract

This study investigated the effects of variables influencing the intention to use the COVID-19 tracker. Experiment results from 224 individuals revealed that performance expectations, trust, and privacy all have an impact on app usage intention. However, social impact, effort expectation, and facilitating conditions were not shown to be statistically significant. The conceptual model explained 60.07 percent of the amount of variation, suggesting that software developers, service providers, and policymakers should consider performance expectations, trust, and privacy as viable factors to encourage citizens to use the app