An Exploratory Examination of UTAUT Factors Associated with Mobile Health Services Adoption Among Purposively Selected Healthcare Provider Decision-Makers in the United States
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Authors
Amosun, Kolawole
Issue Date
2026-03
Type
Dissertation
Language
en
Keywords
MHS , UTAUT , Decision makers , Healthcare Innovation & Delivery , Business, Engineering, Science, & Technological Innovation , Workforce Development Needs & Industry Alignment
Alternative Title
Abstract
This study examined the factors associated with healthcare provider decision makers’ intentions to adopt Mobile Health Services in the United States. Although mobile health technologies can support access, communication, and patient engagement, adoption across healthcare organizations remains uneven. This situation reflects a limited understanding of the factors associated with decisions made by individuals responsible for evaluating and approving new technologies. The purpose of the study was to determine the extent to which constructs from the Unified Theory of Acceptance and Use of Technology are associated with the adoption of mobile health services. The researcher sought to provide context specific insights into how these constructs manifest in organizational environments and how these relationships may inform theoretical understanding of technology adoption in healthcare settings. A non experimental quantitative correlational design was used. Participants were healthcare provider decision makers working in information technology roles across the United States. A purposive sampling approach was applied to recruit individuals who met predefined criteria. Data were collected through a self-administered online questionnaire, and descriptive statistics, correlation analysis, and hierarchical multiple regression were used to examine associations among variables. The results indicated that Self concept showed the strongest association with behavioral intention, followed by social influence, effort expectancy, and performance expectancy. Facilitating conditions and behavioral intention were both associated with mobile health services adoption. Future researchers may use random sampling to expand generalizability and may incorporate longitudinal or qualitative approaches to deepen understanding of decision-making processes.