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

Psychology Research and Behavior Management, Journal Year: 2022, Volume and Issue: Volume 15, P. 2831 - 2842

Published: Sept. 1, 2022

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

Language: Английский

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Acceptance of a mental health app (JoyPopTM) for postsecondary students: a prospective evaluation using the UTAUT2

Frontiers in Digital Health, Journal Year: 2025, Volume and Issue: 7

Published: Feb. 18, 2025

Mental health (MH) smartphone applications (MH apps) can support the increasing MH needs of postsecondary students and mitigate barriers to accessing support. Evaluating app acceptance using technology models is recommended improve student engagement with apps. The JoyPopTM was designed youth resilience emotion regulation. associated improved MH, but its has yet be evaluated quantitatively. present study used Unified Theory Acceptance Use Technology (UTAUT2) evaluate examine constructs moderators influencing (i.e., behavioural intention) use app. Participants were 183 attending a Canadian University who for one week completed measures before after Relationships posited by UTAUT2 tested partial least squares structural equation modelling (PLS-SEM). Most participants accepted model explained substantial variance in intention use. Performance expectancy, hedonic motivation, facilitating conditions predicted intention, Age moderated association between intention. Experience relationship performance social influence on Results provide insight into factors ability engage students. also valuable insights evaluating optimally designing

Language: Английский

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Integrating artificial intelligence (AI) in healthcare: advancing older adults’ health management in Saudi Arabia through AI-powered chatbots

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2773 - e2773

Published: March 27, 2025

Background The healthcare sector is experiencing rapid digital advancements, with patients increasingly seeking quick and seamless interactions. Artificial intelligence (AI)-driven chatbots are becoming an integral part of elderly care, transforming provider-patient engagement supporting health behavior goals tailored to individual preferences, needs, limitations. Methods This study developed a comprehensive research framework incorporating various theoretical perspectives explore the determinants sustained use AI-powered among older adults. also examined mediating influence perceived humanness. model was evaluated using partial least squares structural equation modeling (PLS-SEM) on cross-sectional data collected from 158 individuals aged 60 above. Results findings show that satisfaction significantly influenced by facilitating conditions, hedonic motivation, confirmation, performance expectancy, effort expectancy. Perceived security plays critical role in shaping intention continue these chatbots. Moreover, analysis revealed humanness mediates relationship between continuous intentions users Saudi Arabia. Discussion provides valuable insights into factors influencing adults’ acceptance AI Arabia, particularly post-COVID-19 era. These enrich academic discourse offer actionable recommendations for organizations adapting evolving landscape.

Language: Английский

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Effect of digital technologies on employee wellbeing and mental health

Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: April 3, 2025

Language: Английский

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Segmentation of fitness users based on health consciousness: implications for digital sport management

Quality & Quantity, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Language: Английский

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