Nunes Nuno, Adamo Greta, Ribeiro Miguel, R Gouveia Bruna, Rubio Gouveia Elvio, Teixeira Pedro, Nisi Valentina
Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Interactive Technologies Institute / Laboratory for Robotics and Engineering Systems, Lisbon, Portugal.
JMIR Hum Factors. 2022 Sep 14;9(3):e35434. doi: 10.2196/35434.
The global health crisis caused by COVID-19 has drastically changed human society in a relatively short time. However, this crisis has offered insights into the different roles that such a worldwide virus plays in the lives of people and how those have been affected, as well as eventually proposing new solutions. From the beginning of the pandemic, technology solutions have featured prominently in virus control and in the frame of reference for international travel, especially contact tracing and passenger locator applications.
The objective of this paper is to study specific areas of technology acceptance and adoption following a unified theory of acceptance and use of technology (UTAUT) research model.
We presented a research model based on UTAUT constructs to study the determinants for adoption of COVID-19-related apps using a questionnaire. We tested the model via confirmatory factor analysis (CFA) and structural equation modeling (SEM) using travelers' data from an insular tourist region.
Our model explained 90.3% of the intention to use (N=9555) and showed an increased understanding of the vital role of safety, security, privacy, and trust in the usage intention of safety apps. Results also showed how the impact of COVID-19 is not a strong predictor of adoption, while age, education level, and social capital are essential moderators of behavioral intention.
In terms of scientific impact, the results described here provide important insights and contributions not only for researchers but also for policy and decision makers by explaining the reasons behind the adoption and usage of apps designed for COVID-19.
由新冠病毒引发的全球健康危机在相对较短的时间内极大地改变了人类社会。然而，这场危机让人们深入了解了这种全球传播的病毒在人们生活中所扮演的不同角色以及这些角色是如何受到影响的，最终还促使人们提出了新的解决方案。从疫情开始，技术解决方案在病毒防控以及国际旅行的参考框架中就占据了显著地位，尤其是接触者追踪和乘客定位应用程序。
本文旨在依据技术接受与使用统一理论（UTAUT）研究模型，研究技术接受和采用的特定领域。
我们提出了一个基于UTAUT结构的研究模型，通过问卷调查来研究采用新冠病毒相关应用程序的决定因素。我们使用来自一个岛屿旅游地区旅行者的数据，通过验证性因子分析（CFA）和结构方程模型（SEM）对该模型进行了测试。
我们的模型解释了90.3%的使用意愿（N = 9555），并显示出人们对安全、安保、隐私和信任在安全应用程序使用意愿中的重要作用有了更深入的理解。结果还表明，新冠病毒的影响并非采用的有力预测因素，而年龄、教育水平和社会资本是行为意愿的重要调节因素。
就科学影响而言，本文所述结果不仅为研究人员，也为政策制定者和决策者提供了重要的见解和贡献，解释了为应对新冠病毒而设计的应用程序被采用和使用背后的原因。
