Browsing by Author "Alshammari, Abdulaziz"

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DETERMINATION OF CULTURAL DYNAMICS AFFECTING THE ADOPTION OF MOBILE HEALTH (M-HEALTH) APPLICATIONS BY THE ELDERLY POPULATION OF SAUDI ARABIA
(Saudi Digital Library, 2026) Alshammari, Abdulaziz; GUDUR, RAGHAVENDRA REDDY; MASOUD, MOHAMMADIAN; SARVJEET, KAUR CHATRATH
This thesis investigates how socio-cultural, technological, personal, and demographic factors shape attitudes toward mobile health (mHealth) applications and their adoption by older adults in Saudi Arabia. Drawing on the Technology Acceptance Model, the Unified Theory of Acceptance and Use of Technology, and Hofstede’s cultural dimensions, it specifies and tests a model in which family support, social influence, cultural values, service attributes, perceived usefulness, security concerns, and interface and user experience predict attitudes toward mHealth and adoption. Demographic characteristics, including age, gender, education, living arrangement, and familiarity with technology, are examined as direct determinants of attitudes and adoption. A cross-sectional survey was administered through the Ministry of Human Resources and Social Development to adults aged 60 years and over who use national mHealth services, yielding 354 valid responses. Data were analyzed using partial least squares structural equation modelling. Adoption was operationalized through reported frequency and duration of use, range of features, and health tasks completed. The results show that technological and personal factors underpin positive attitudes, which are positively associated with adoption. Socio-cultural and demographic conditions contribute additional variation in adoption and highlight groups who may require tailored support. The findings offer design and policy guidance for strengthening sustained engagement with mHealth among older Saudis.
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TESTING WITH THE ONE COMPONENT PARTIAL LEAST SQUARES AND THE MARGINAL MAXIMUM LIKELIHOOD ESTIMATORS
(Southern Illinois University Carbondale, 2024-05-28) Alshammari, Abdulaziz; Olive, David
We derive some large sample theory for the marginal maximum likelihood estimator for multiple linear regression. Then testing is considered for that estimator and the one component partial least squares estimator, including some high dimensional tests. Testing with these two estimators for the multiple linear regression model with heterogeneity and for the single index model is also considered.
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