Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis.
Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis.
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DOI：
10.3389/fpubh.2022.847184
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发表时间：
2022
影响因子：
5.2
通讯作者：
Bukar, Umar Ali
中科院分区：
文献类型：
--
作者：
Alkhalifah, Ali;Bukar, Umar Ali
COVID-19 接触者追踪应用程序 (CTA) 为缓解冠状病毒阳性病例激增提供了巨大潜力，从而帮助利益相关者监测高风险地区。沙特阿拉伯王国 (KSA) 是开发称为 Tawakkalna 应用程序的 CTA 的国家之一，用于管理 COVID-19 的传播。因此，本研究旨在检查和预测影响 Tawakkalna CTA 采用的因素。假设了一个由技术接受模型（TAM）、隐私演算理论（PCT）和任务技术契合（TTF）模型组成的集成模型。该模型用于更好地了解使用 Tawakkalna 移动 CTA 的行为意图。本研究使用沙特阿拉伯王国 309 名 CTA 用户的调查数据，进行结构方程模型 (SEM) 分析和人工神经网络 (ANN) 分析来验证模型。研究结果表明，感知的易用性和有用性对 Tawakkalna 移动 CTA 的行为意图产生了积极且显着的影响。同样，任务特征和流动性对任务技术契合度产生积极且显着的影响，并显着影响 CTA 的行为意图。然而，隐私风险、社会关注和社交互动的感知好处并不是重要因素。这些发现充分了解了 Tawakkalna 接触者追踪应用程序行为意图的关键预测因素的相对影响。
COVID-19 contact-tracing applications (CTAs) offer enormous potential to mitigate the surge of positive coronavirus cases, thus helping stakeholders to monitor high-risk areas. The Kingdom of Saudi Arabia (KSA) is among the countries that have developed a CTA known as the Tawakkalna application, to manage the spread of COVID-19. Thus, this study aimed to examine and predict the factors affecting the adoption of Tawakkalna CTA. An integrated model which comprises the technology acceptance model (TAM), privacy calculus theory (PCT), and task-technology fit (TTF) model was hypothesized. The model is used to understand better behavioral intention toward using the Tawakkalna mobile CTA. This study performed structural equation modeling (SEM) analysis as well as artificial neural network (ANN) analysis to validate the model, using survey data from 309 users of CTAs in the Kingdom of Saudi Arabia. The findings revealed that perceived ease of use and usefulness has positively and significantly impacted the behavioral intention of Tawakkalna mobile CTA. Similarly, task features and mobility positively and significantly influence task-technology fit, and significantly affect the behavioral intention of the CTA. However, the privacy risk, social concerns, and perceived benefits of social interaction are not significant factors. The findings provide adequate knowledge of the relative impact of key predictors of the behavioral intention of the Tawakkalna contact-tracing app.
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影响因子：
10.6
作者：
Azad MA;Arshad J;Akmal SMA;Riaz F;Abdullah S;Imran M;Ahmad F
通讯作者：
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DOI：
10.1016/j.ijinfomgt.2020.102212
发表时间：
2021-02-01
影响因子：
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作者：
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