Digital Health Transformation in Saudi Arabia: Examining the Impact of Health Information Seeking on M-Health Adoption during the COVID-19 Pandemic DOI Open Access
Nasser Aljohani

Engineering Technology & Applied Science Research, Год журнала: 2025, Номер 15(1), С. 19933 - 19940

Опубликована: Фев. 1, 2025

This study investigates the intention of Saudi Arabian users to adopt mobile health (m-health) applications through lens United Theory Acceptance and Use Technology (UTAUT) framework. The research highlights growing importance m-health solutions in Arabia, especially context country's Vision 2030 development agenda accelerated adoption e-health/m-health technologies during COVID-19 pandemic. key findings indicate that information seeking, social influence are significant factors driving users' intentions applications, while Performance Expectancy (PE) is not a primary driver. Additionally, Effort (EE) positively influences behavioral intentions. Improving features these could facilitate broader adoption. contributes existing literature on systems by shedding light critical influencing user developing context. However, does account for all potential technological external variables affect behavior. Future research, particularly qualitative or mixed-method studies, should explore impact age adoption, as current primarily reflect younger users.

Язык: Английский

Digital Health Transformation in Saudi Arabia: Examining the Impact of Health Information Seeking on M-Health Adoption during the COVID-19 Pandemic DOI Open Access
Nasser Aljohani

Engineering Technology & Applied Science Research, Год журнала: 2025, Номер 15(1), С. 19933 - 19940

Опубликована: Фев. 1, 2025

This study investigates the intention of Saudi Arabian users to adopt mobile health (m-health) applications through lens United Theory Acceptance and Use Technology (UTAUT) framework. The research highlights growing importance m-health solutions in Arabia, especially context country's Vision 2030 development agenda accelerated adoption e-health/m-health technologies during COVID-19 pandemic. key findings indicate that information seeking, social influence are significant factors driving users' intentions applications, while Performance Expectancy (PE) is not a primary driver. Additionally, Effort (EE) positively influences behavioral intentions. Improving features these could facilitate broader adoption. contributes existing literature on systems by shedding light critical influencing user developing context. However, does account for all potential technological external variables affect behavior. Future research, particularly qualitative or mixed-method studies, should explore impact age adoption, as current primarily reflect younger users.

Язык: Английский

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