技术接受与使用的统一理论
技术接受模型
结构方程建模
心理学
大流行
互联网隐私
中国
计划行为理论
调解
2019年冠状病毒病(COVID-19)
应用心理学
社会心理学
可用性
社会影响力
计算机科学
社会学
医学
政治学
社会科学
控制(管理)
疾病
人机交互
机器学习
病理
人工智能
传染病(医学专业)
法学
出处
期刊:Ageing & Society
[Cambridge University Press]
日期:2022-10-17
卷期号:44 (7): 1515-1532
被引量:14
标识
DOI:10.1017/s0144686x22000423
摘要
Abstract Previous studies on older adults' intention to adopt medical apps during irregular circumstances like the COVID-19 outbreak are still in its infancy. In order to fill this knowledge gap, we developed a theoretical framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Technology of Acceptance Model (TAM) to explain Chinese older people's willingness to use medical apps during the COVID-19 pandemic. We collected 1,318 online questionnaires during the first wave of the pandemic in China in early 2020. We employed structural equation modelling to analyse the data, and the results show that (a) attitudes towards using apps influence older people's intention to use apps significantly; (b) only two factors, perceived usefulness and facilitating conditions , which were proposed in the UTAUT model, significantly predicted the older adults' intention to use apps, but not others; and (c) perceived usefulness, perceived ease of use, subjective norm and facilitating conditions all significantly impact attitudes towards using apps. Further mediation analysis found that attitudes towards using apps significantly mediated the paths suggested in the original UTAUT model. Due to the online survey method we used, older people who do not use the internet were excluded from our sampling process. However, our timely research contributes to the existing literature by showcasing older people's usage of eHealth technology in public health emergencies. It also builds on the broader discussions on technology use by combining the TAM and the UTAUT model, highlighting the vital role of people's attitude towards using technology in shaping their intention to use it.
科研通智能强力驱动
Strongly Powered by AbleSci AI