The influence of digital competence, personal innovation, and the technology acceptance model on nurses in secondary-level hospitals in Java

Abstract

This study examines how Digital Competence and Personal Innovativeness influence the Technology Acceptance Model (TAM) and its implications for Attitude and Intention to Use digital technology among nurses in secondary-level hospitals in Java, Indonesia. A quantitative causal design was employed, collecting data from 500 nurses with at least an associate degree in nursing and a minimum of two years of work experience, using an online survey via Google Forms. Structural Equation Modeling (SEM) using Partial Least Squares (SmartPLS 4) was applied to test hypothesized relationships. The results indicate that both Digital Competence and Personal Innovativeness significantly enhance TAM, which in turn strongly affects nurses’ Attitude and Intention to Use digital technology. The model demonstrated high explanatory power, with R² values ranging from 0.75 to 0.82. These findings highlight that nurses’ digital readiness and innovative mindset are pivotal in shaping technology acceptance and actual utilization in hospitals. Practically, the study underscores the need for hospitals to invest in digital training, foster innovation among nursing staff, and cultivate a supportive organizational culture that facilitates technology adoption. Such measures can accelerate the successful implementation of national digital health initiatives, including the SATUSEHAT platform, improving efficiency and quality of care in the Indonesian healthcare system.