Understanding Users’ Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model

连续性 背景(考古学) 2019年冠状病毒病(COVID-19) 远程医疗 互联网隐私 计算机科学 万维网 远程医疗 业务 心理学 医疗保健 医学 社会心理学 政治学 生物 疾病 传染病(医学专业) 法学 古生物学 病理
作者
Bing Bai,Zhiqiong Guo
出处
期刊:Psychology Research and Behavior Management [Dove Medical Press]
卷期号:Volume 15: 2831-2842 被引量:15
标识
DOI:10.2147/prbm.s364275
摘要

Background: Improving the health status of users through the use of digital health information systems has drawn the attention of practitioners and academics under the tide of the digital revolution, specifically in the time of global pandemic of COVID-19, and as a result, online medical consultation has developed rapidly. Purpose: Empirical studies, however, are lacking in terms of gaining insight into use digital health information system driven by the digital revolution under COVID-19 and identifying the factors for retaining users and encouraging their continuing use. To solve this problem, this study seeks to explore the factors that influence users’ intention to use digital health information system. Methods: This study extended the Unified Theory of Acceptance and Use of Technology (UTAUT) model by introducing components of perceived risks into the model. Structural equation modeling was adopted to evaluate the research model based on an empirical survey of 241 users in China. Results: As indicated by the results, users’ continuance usage behavior to digital health information system is shaped by intention to use and facilitating conditions, with effort expectancy, social influence, perceived ease of use and perceived enjoyment exerting indirect positive effects on continuance usage behavior via intention to use. In contrast, perceived risk and perceived cost have indirect negative impact on continuance usage behavior. Conclusion: The findings of this study can not only help the practitioners better understand the users’ continuance usage behavior towards digital health information system driven by digital revolution in the time of COVID-19 pandemic and further tap into the potential market but also make up the short of traditional technology acceptance model explanatory by the extended UTAUT model. Keywords: digital health information system, online medical, continuance usage behavior, UTAUT model

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ljkksy完成签到,获得积分10
刚刚
Tulip发布了新的文献求助10
1秒前
1秒前
正直箴完成签到,获得积分10
1秒前
星月Wolf完成签到,获得积分10
1秒前
2秒前
Lucas应助chen采纳,获得10
2秒前
研友_rLmNXn发布了新的文献求助10
2秒前
林夕发布了新的文献求助10
3秒前
Ty发布了新的文献求助30
3秒前
深情安青应助多啦啦采纳,获得10
3秒前
1043681559完成签到,获得积分10
4秒前
毛毛雨完成签到 ,获得积分10
4秒前
hhj完成签到,获得积分10
4秒前
霸王龙完成签到,获得积分10
4秒前
palette完成签到,获得积分10
4秒前
哈哈哈应助执着的青烟采纳,获得10
4秒前
活力向南发布了新的文献求助10
5秒前
正直箴发布了新的文献求助10
5秒前
Mic应助cz采纳,获得10
5秒前
科研通AI6.4应助倾浅采纳,获得10
5秒前
6秒前
6秒前
科研通AI6.4应助无感采纳,获得10
6秒前
6秒前
September发布了新的文献求助10
6秒前
YH发布了新的文献求助10
6秒前
123完成签到,获得积分10
7秒前
伊丽莎白完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
8秒前
8秒前
默默飞阳发布了新的文献求助30
8秒前
8秒前
完美世界应助琉璃苣采纳,获得10
9秒前
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6391943
求助须知:如何正确求助?哪些是违规求助? 8207293
关于积分的说明 17372727
捐赠科研通 5445397
什么是DOI,文献DOI怎么找? 2879009
邀请新用户注册赠送积分活动 1855426
关于科研通互助平台的介绍 1698576