Identifying the Core Phenomenon Components of AI-Based Digital Entrepreneurship in Teaching Hospitals of Mazandaran University of Medical Sciences
Keywords:
Digital Entrepreneurship, Artificial Intelligence, Healthcare Service Quality, Teaching Hospitals, Mazandaran University of Medical SciencesAbstract
This study aimed to identify the core components of AI-based digital entrepreneurship and develop a model to enhance healthcare service quality in teaching hospitals. This applied research employed a mixed-method exploratory sequential design. In the qualitative phase, data were collected through semi-structured interviews with 12 experts and analyzed using grounded theory (open, axial, and selective coding). In the quantitative phase, 330 clinical faculty members and middle managers were selected via stratified random sampling. Data were gathered using researcher-made questionnaires and analyzed using confirmatory factor analysis and structural equation modeling with SPSS and SmartPLS. Results indicated that the core phenomenon significantly influenced AI-based digital entrepreneurship (path coefficient = 0.725). Key dimensions included resource management and staff training (0.785), data and decision support systems (0.778), hospital management optimization (0.777), and healthcare service improvement (0.658). Advancing AI-based digital entrepreneurship in teaching hospitals requires integrating data-driven infrastructures, empowering human resources, and optimizing managerial processes, ultimately enhancing service quality, reducing costs, and improving efficiency.
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