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.

中文翻译：

---

公民对接触者追踪应用程序的采用意愿：使用创新阻力理论的分析

本研究探讨了阻止公民使用接触者追踪应用程序 (CTA) 的因素。它利用创新阻力理论构建了一个简约的数据分析模型。从 440 个 CTA 用户收集数据，并使用结构方程模型进行分析。进行调节分析以衡量信任对自变量和因变量之间关系的影响。结果表明，隐私问题、功能复杂性和利益模糊性是阻碍 CTA 采用的主要因素。该研究对公共当局和技术专业人员促进和增加面向公众的大众消费技术的采用具有重要意义。