Citizen's adoption intention toward contact tracing apps: An analysis using innovation resistance theory

Abstract

This study explores the factors that prevent citizens from using contact tracing apps (CTA). It uses the innovation resistance theory to construct a parsimonious data analysis model. Data are collected from 440 users of CTA, and an analysis using structural equation modeling is done. Moderation analysis is performed to measure the influence of trust on the relationship between independent and dependent variables. The results reveal that privacy concerns, functional complexity, and benefit ambiguity are the main factors causing hindrance in the adoption of CTAs. The study carries implications for public authorities and technology professionals for promoting and increasing the uptake of public-oriented mass-consumption technology.