Ali Alkhalifah
Biographic Data
| ID | 9591122 |
|---|---|
| NAME | Ali Alkhalifah |
| GIVEN NAMES | Ali |
| FAMILY NAME | Alkhalifah |
| SIGNATURE | ALKHALIFAH A |
| AFFILIATIONS | Qassim University |
| ORCID | 0000-0001-5581-5336 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Cybersecurity governance in the healthcare sector during digital transformation
Introduction: Digital transformation is increasingly relied upon in the healthcare sector, enhancing service efficiency but posing security challenges related to privacy and trust. With the increasing use of digital technologies, cybersecurity issues are becoming more critical, especially given the risks of breaches and data leaks. Therefore, understanding the impact of security factors on employee security behavior during digital transformation …
The critical determinants impacting artificial intelligence adoption at the organizational level
This study aims to investigate the main technological and socio-environmental factors influencing the adoption intentions with regard to AI-based technologies at the organizational level. A conceptual model based on innovation diffusion theory (DOI) and the technology-organization-environment (TOE) framework is proposed and tested empirically using survey-based data collected from 512 senior IT/IS managers in public/private organizations located …
Examining the Prediction of Covid-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis
COVID-19 contact-tracing applications (CTAs) offer enormous potential to mitigate the surge of positive coronavirus cases, thus helping stakeholders to monitor high-risk areas. The Kingdom of Saudi Arabia (KSA) is among the countries that have developed a CTA known as the Tawakkalna application, to manage the spread of COVID-19. Thus, this study aimed to examine and predict the factors affecting the adoption of Tawakkalna CTA. An integrated model…
Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an outstanding critical mutation with an emphasis on data mining leading to dismantling of some of its assumptions among several of its stakeholders. In this work, we study the pillars of these technologies connected to web usage as the Internet of things (IoT) system's healthcare infrastructure. We used several data mining techniques to evaluate the online advert…
No prominent works on this page.
Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an outstanding critical mutation with an emphasis on data mining leading to dismantling of some of its assumptions among several of its stakeholders. In this work, we study the pillars of these technologies connected to web usage as the Internet of things (IoT) system's healthcare infrastructure. We used several data mining techniques to evaluate the online advert…
Examining the Prediction of Covid-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis
COVID-19 contact-tracing applications (CTAs) offer enormous potential to mitigate the surge of positive coronavirus cases, thus helping stakeholders to monitor high-risk areas. The Kingdom of Saudi Arabia (KSA) is among the countries that have developed a CTA known as the Tawakkalna application, to manage the spread of COVID-19. Thus, this study aimed to examine and predict the factors affecting the adoption of Tawakkalna CTA. An integrated model…
Cybersecurity governance in the healthcare sector during digital transformation
Introduction: Digital transformation is increasingly relied upon in the healthcare sector, enhancing service efficiency but posing security challenges related to privacy and trust. With the increasing use of digital technologies, cybersecurity issues are becoming more critical, especially given the risks of breaches and data leaks. Therefore, understanding the impact of security factors on employee security behavior during digital transformation …
The critical determinants impacting artificial intelligence adoption at the organizational level
This study aims to investigate the main technological and socio-environmental factors influencing the adoption intentions with regard to AI-based technologies at the organizational level. A conceptual model based on innovation diffusion theory (DOI) and the technology-organization-environment (TOE) framework is proposed and tested empirically using survey-based data collected from 512 senior IT/IS managers in public/private organizations located …
Computer Science (3 works) · Machine learning (2 works) · Algorithm (1 works) · Applied Psychology (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Business (1 works) · Certainty (1 works) · Competitive advantage (1 works) · Conceptual framework (1 works)