The adoption of e-health technologies among older adults is critical for addressing evolving healthcare demands. This study investigates the factors influencing the acceptance of e-health services among three generational cohorts: Gen X, Baby Boomers, and the Silent Generation. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as a framework, alongside additional constructs of user experience, perceived trust, and health literacy, the research explores how these factors shape behavioral intentions towards e-health adoption. Data collected through a survey in Italy will be analyzed using multiple linear regression to uncover generational differences and moderators influencing technology acceptance. The study contributes insights into tailoring e-health strategies for diverse generational needs, enhancing healthcare accessibility and effectiveness for older populations.
Generational perspectives on E-Health acceptance: an extended UTAUT Framework / Gogiali, Giulia; Nevi, Giulia; Dezi, Luca. - (2024). (Intervento presentato al convegno International Conference on Technology Management, Operations and Decisions tenutosi a Sharjah, United Arab Emirates) [10.1109/ICTMOD63116.2024.10959120].
Generational perspectives on E-Health acceptance: an extended UTAUT Framework
Giulia Gogiali;Giulia Nevi;Luca Dezi
2024
Abstract
The adoption of e-health technologies among older adults is critical for addressing evolving healthcare demands. This study investigates the factors influencing the acceptance of e-health services among three generational cohorts: Gen X, Baby Boomers, and the Silent Generation. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as a framework, alongside additional constructs of user experience, perceived trust, and health literacy, the research explores how these factors shape behavioral intentions towards e-health adoption. Data collected through a survey in Italy will be analyzed using multiple linear regression to uncover generational differences and moderators influencing technology acceptance. The study contributes insights into tailoring e-health strategies for diverse generational needs, enhancing healthcare accessibility and effectiveness for older populations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


