从技术接受模型的角度预测COVID-19期间数字接触追踪工具的采用：信任、恐惧、隐私、焦虑和社交媒体的作用。

Predicting digital contact tracing tool adoption during COVID-19 from the perspective of TAM: The role of trust, fear, privacy, anxiety, and social media.

作者信息

Alsyouf Adi, Al-Momani Ala'a M, Alsubahi Nizar, Lutfi Abdalwali, Al-Mugheed Khalid Anwer, Almaiah Mohammed Amin, Anshasi Rami J, Alolayyan Main Naser, Alsaad Abdallah, Alrawad Mahmaod

机构信息

Department of Managing Health Services & Hospitals, College of Business, Faculty of Business Rabigh, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.

Applied Science Research Center, Applied Science Private University, Amman, Jordan.

出版信息

Digit Health. 2025 May 5;11:20552076251336271. doi: 10.1177/20552076251336271. eCollection 2025 Jan-Dec.

DOI:10.1177/20552076251336271

PMID:40343062

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12059423/

Abstract

OBJECTIVE

The emergence of more contagious SARS-CoV-2 variants, such as EG.5 (Eris), has heightened the urgency of assessing associated risks and managing the spread of infections. Digital Contact Tracing (DCT) tools have been widely adopted to mitigate these risks, although the factors driving their acceptance are complex and multifaceted. However, there is a significant lack of research on the application of DCT within Saudi Arabia, despite its proactive use of such technologies in public health strategies. This study investigates the key determinants of DCT adoption and acceptance by integrating the Technology Acceptance Model (TAM) with psychological, social, and regulatory factors related to the context of the study.

METHODS

Using a quantitative, cross-sectional design, data were collected from Saudi participants through an online survey and analysed using Structural Equation Modeling (SEM) with SmartPLS4.

RESULTS

The results supported all the hypotheses except for the relationship between social media awareness and DCT tool usage. The findings revealed that COVID-19-induced anxiety significantly influenced technology acceptance, with social influence playing a mediating role. This study introduces a novel, context-specific model contributing to the technology acceptance field by exploring how pandemic-related factors, such as anxiety and social influence, affect DCT tool adoption. It also addresses a critical gap in the previous literature by examining the mediating role of social impact in the association between privacy and event-related fear and the moderating effect of COVID-19 anxiety on social media awareness and DCT usage. The findings offer valuable insights for governmental interventions, health institutions, and legislators in managing pandemics globally and within the Kingdom of Saudi Arabia.

CONCLUSION

We introduce a novel, context-specific model for understanding how pandemic-related psychological and social factors influence DCT adoption in this study. Those results provide insight into how policymakers, health institutions, and legislators can use DCT tools to manage pandemics globally and in Saudi Arabia.

摘要

目的

更具传染性的严重急性呼吸综合征冠状病毒2（SARS-CoV-2）变体的出现，如EG.5（厄里斯），增加了评估相关风险和控制感染传播的紧迫性。数字接触追踪（DCT）工具已被广泛采用以降低这些风险，尽管推动其被接受的因素复杂且多方面。然而，尽管沙特阿拉伯在其公共卫生战略中积极使用此类技术，但关于DCT在沙特阿拉伯的应用却存在显著的研究空白。本研究通过将技术接受模型（TAM）与与研究背景相关的心理、社会和监管因素相结合，调查了DCT采用和接受的关键决定因素。

方法

采用定量横断面设计，通过在线调查从沙特参与者收集数据，并使用SmartPLS4进行结构方程建模（SEM）分析。

结果

除社交媒体意识与DCT工具使用之间的关系外，结果支持所有假设。研究结果表明，新冠疫情引发的焦虑显著影响技术接受，社会影响起中介作用。本研究引入了一个新颖的、针对特定背景的模型，通过探索焦虑和社会影响等与大流行相关的因素如何影响DCT工具的采用，为技术接受领域做出了贡献。它还通过考察社会影响在隐私与事件相关恐惧之间的关联中的中介作用以及新冠焦虑对社交媒体意识和DCT使用的调节作用，弥补了先前文献中的一个关键空白。这些发现为全球及沙特阿拉伯王国政府干预、卫生机构和立法者管理大流行提供了有价值的见解。