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Health, stress and technologies: integrating technology acceptance and health belief models for smartphone-based stress intervention

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Author
Paganin, Giulia
Margheritti, Simona
Farhane-Medina, Naima Z.
Simbula, Silvia
Mazzetti, Greta
Publisher
MDPI
Date
2023
Subject
Technology acceptance model
Health belief model
Technology usage
Smartphone-based intervention
Stress management
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Abstract
Work-related stress significantly jeopardizes employees’ physical and mental health due to the considerable time they spend at work. Smartphone-based interventions provide a promising solution, eliminating traditional face-to-face interventions’ barriers. However, the elements that influence workers’ intentions to use this still remain unexplored. This study explores the link between health belief model (HBM) and technology acceptance model (TAM) factors. In this study, 336 Italian workers (64% female) answered an online questionnaire. We employed a structural equation model (SEM) to analyze the data. The results unveiled an indirect relationship: individuals perceiving health risks were more inclined to use stress-management apps, mediated by perceived utility (PU). This study underscores the significant potential of integrating the HBM with the TAM in predicting users’ preparedness for smartphone-based health interventions. These findings not only hold substantial value but also illuminate a path forward for professionals and organizations, offering insights to tailor and optimize smartphone tools for stress management and the promotion of workplace well-being. Ultimately, this research paves the way for the cultivation of healthier work environments, marking a noteworthy contribution to the field.
URI
http://hdl.handle.net/10396/26247
Fuente
Healthcare, 11(23), 3030 (2023)
Versión del Editor
https://doi.org/10.3390/healthcare11233030
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