Generational perspectives on E-Health acceptance: an extended UTAUT Framework

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.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/ictmod63116.2024.10959120
Primary Topic
Education, Sociology, Communication Studies
Type
article
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article

Generational perspectives on E-Health acceptance: an extended UTAUT Framework

Giulia Nevi, Luca Dezi, Giulia Gogiali
Education, Sociology, Communication Studies
article

Generational perspectives on E-Health acceptance: an extended UTAUT Framework

Giulia Nevi, Luca Dezi, Giulia Gogiali
article en

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.

Marche Polytechnic University (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 52%
Education, Sociology, Communication Studies
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Generational perspectives on E-Health acceptance: an extended UTAUT Framework — Giulia Nevi, Luca Dezi, et al. · (2024) | TGRS Research Map | TGRS