Understanding the Determinants of Wearable Smart Device Adoption: A Quantitative Analysis
Understanding the Determinants of Wearable Smart Device Adoption: A Quantitative Analysis
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Issue Date
2025-11
Authors
Ayala, Alexandria
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Abstract
Wearable smart devices offer opportunities to improve patient care and operational efficiency, yet adoption among healthcare professionals remains uneven. This study investigated psychological, social, and contextual factors influencing adoption, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative correlational survey of 270 Oregon healthcare professionals measured seven independent variables (Performance Expectancy, Effort Expectancy, Attitude Toward Using Technology, Social Influence, Facilitating Conditions, Self-Efficacy, and Anxiety) against Behavioral Intention. Multiple linear regression analysis, following verification of statistical assumptions, revealed the model explained 48.1% of the variance in adoption intention. Attitude Toward Using Technology and Social Influence emerged as significant positive predictors, while Anxiety was a significant negative predictor. Performance Expectancy, Effort Expectancy, and Self-Efficacy were not significant, and Facilitating Conditions approached significance. These results suggest that emotional readiness and peer influence outweigh technical or usability considerations in shaping adoption decisions. Effective implementation strategies should focus on reducing technology-related anxiety, strengthening professional support networks, and aligning device use with organizational culture. Future research should examine longitudinal adoption patterns and extend the model to include constructs such as trust and ethical considerations to better support sustainable digital health integration.
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Keywords
Healthcare Professionals , Wearable Smart Devices , Technology Adoption , Business, Engineering, Science, & Technological Innovation