The Use of M-Government and M-Health Applications during the COVID-19 Pandemic in Saudi Arabia

Allam, Ahad Abdulqader; Ali, Amer Nizar Abu; Ghabban, Wed H.; Alrowwad, Ala’aldin; Fallatah, Najmah Adel; Ameerbakhsh, Omair; Alfadli, Ibrahim; Ghabban, Fahad

doi:10.4236/jsea.2022.1511023

JSEA

2022

DOI: 10.4236/jsea.2022.1511023

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The Use of M-Government and M-Health Applications during the COVID-19 Pandemic in Saudi Arabia

Ahad Abdulqader Allam¹,

Amer Nizar Abu Ali²,

Wed H. Ghabban³

et al.

Abstract: The automated proficiencies of the Kingdom of Saudi Arabia, in vision 2030, influence a decade of continual expenditure in contemporary automation and unified government platforms. It affords a reliable base for the COVID-19 response's significant facets, encompassing continued connection to many e-government systems. The worldwide COVID-19 epidemic has reinvigorated the role of e-government. The health crisis has altered SADAIA to lunch Tawakkalna m-government application to execute business continuity strate… Show more

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Cited by 4 publications

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Enhancing M-Government service adoption in Saudi Arabia: the role of mobile edge computing in moderating technology acceptance

Nusir

2024

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Purpose Mobile edge computing (MEC) services have long been used by private enterprises in Saudi Arabia with considerable success; however, there has been a stark lack of insight into how these services can be used to improve mobile government (M-Government) services for KSA citizens. This study aims to bridge this gap by integrating MEC with an enhanced version of the technology acceptance model (TAM) and examining its effects on user behavior and acceptance. Design/methodology/approach A closed-ended survey was administered to 1,500 people, and the responses were analyzed using sophisticated advanced statistical techniques to test an expanded TAM, using a quantitative method that uses structural equation modeling to validate the proposed model and hypotheses. Findings This study reveals that MEC significantly influences users’ intentions about using M-Government services and their tolerance for new technology adoption. Specifically, service cost and social influence are positively linked with end users’ intention to adopt M-Government services. Originality/value The novelty and contribution of this paper to existing literature are in highlighting the pivotal role of MEC in transforming public sector service delivery through technology. This study not only supports the adoption of M-Government services to enhance social welfare but also demonstrates and concludes some practical and theoretical ramifications of MEC service adoption.

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Enhancing M-Government service adoption in Saudi Arabia: the role of mobile edge computing in moderating technology acceptance

Nusir

2024

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Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support

Alsyouf,

Alsubahi,

Alali

et al. 2024

PLoS ONE

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Nurses play a crucial role in the adoption and continued use of Electronic Health Records (EHRs), especially in developing countries. Existing literature scarcely addresses how personality traits and organisational support influence nurses’ decision to persist with EHR use in these regions. This study developed a model combining the Five-Factor Model (FFM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the impact of personality traits and organisational support on nurses’ continuance intention to use EHR systems. Data were collected via a self-reported survey from 472 nurses across 10 public hospitals in Jordan and analyzed using a structural equation modeling approach (Smart PLS-SEM 4). The analysis revealed that personality traits, specifically Openness, Experience, and Conscientiousness, significantly influence nurses’ decisions to continue using EHR systems. Furthermore, organisational support, enhanced by Performance Expectancy and Facilitating Conditions, positively affected their ongoing commitment to EHR use. The findings underscore the importance of considering individual personality traits and providing robust organisational support in promoting sustained EHR usage among nurses. These insights are vital for healthcare organisations aiming to foster a conducive environment for EHR system adoption, thereby enhancing patient care outcomes.

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The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

Alsyouf

Lutfi

Alsubahi

et al. 2023

IJERPH

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Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

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The Use of M-Government and M-Health Applications during the COVID-19 Pandemic in Saudi Arabia

Cited by 4 publications

References 21 publications

Enhancing M-Government service adoption in Saudi Arabia: the role of mobile edge computing in moderating technology acceptance

Enhancing M-Government service adoption in Saudi Arabia: the role of mobile edge computing in moderating technology acceptance

Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support

The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

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