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The adoption of "silver" e-Health technologies: first hints on technology acceptance factors for elderly in Italy

Authors:

Luca Buccoliero,

Elena BellioAuthors Info & Claims

ICEGOV '14: Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance

Pages 304 - 307

https://doi.org/10.1145/2691195.2691303

Published: 27 October 2014 Publication History

Abstract

Our study aims to reveal the factors (and their antecedents) affecting the adoption of technologies for health by senior citizen. In order to achieve a greater generalizability, our model is tested in relation to 4 types of technologies and in different cultural settings.

Our research was developed according with a revised TAM model for silver citizens, where most of the variables are derived from an extensive literature review.

Primary data were collected in a sample of Italian senior citizens and a Structural Equation Model was built and tested in order to analyze technology adoption in the aged population.

Both external variables and social norms were found to be highly effective in explaining perceptions on technologies and adoption strategies.

References

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Buccoliero L., Bellio E. and Ishmatova D. "Silver" Technology Acceptance Model: A First Research Framework. IOS PRESS, City, 2013.

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Orlov, L. Home Healthcare with Technology for Active Aging. Philips, 2012.

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Wright, J. Technology and Elderly - Embracing Technology to Improve Your Life. City, 2009.

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AIHW. Older Australians at a Glance. AGE, Australian Institute of Health and Welfare, Canberra, 2007.

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Haukka, S. Older Australians and the Internet. Brisbane, 2011.

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M. Karavidas, N. K. Lim and Katsikas, S. L. The effects of computers on older adults. Computers in Human Behaviour, 212005), 697--711.

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E. Blit-Cohen and Litwin, H. Elder participation in cyberspace: A qualitative analysis of Israeli retirees. Journal of Aging Studies, 182004), 385--398.

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CTA. Technologies to Help Older Adults Maintain Independence: Advancing Technology Adoption. Center for technology and Ageing, Oakland CA, 2009.

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Arning, K. and Ziefle, M. Understanding age differences in PDA acceptance and performance. Computers in Human Behaviour, 23 2007), 2904--2927.

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Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 351989), 21.

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Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3 1989), 21.

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Phang, C. W., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C. Y. and Teo, H. H. Senior Citizens' Acceptance of Information Systems: A Study in the Context of e-Government Services. Engineering Management, 53, 4 2006), 555--569.

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Conci, M., Pianesi, F. and Zancanaro, M. Useful, Social and Enjoyable: Mobile Phone Adoption by Older People. In Proceedings of the INTERACT2009 (Uppsala, 2009), {insert City of Publication}, {insert 2009 of Publication}.

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Renaud, K. and van Biljon, J. Predicting Technology Acceptance and Adoption by the Elderly: A Qualitative study. In Proceedings of the SAICSIT 2008 (Wilderness Beach Hotel, Wilderness, South Africa, 2008), {insert City of Publication}, {insert 2008 of Publication}.

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Silverstone, R., Haddon, L. Oxford University, Oxford,. Design and the Domestication of Information and Communication Technologies: Technical Change and Everyday Life. Communication by Design: The Politics of Information and Communication Technologies, 44-741996).

Cited By

Shin HUm SYoon HChoi EShin WLee HKim Y(2023)Comprehensive Senior Technology Acceptance Model of Daily Living Assistive Technology for Older Adults With Frailty: Cross-sectional StudyJournal of Medical Internet Research10.2196/4193525(e41935)Online publication date: 10-Apr-2023
https://doi.org/10.2196/41935
Khor XTeoh AVafaei-Zadeh AMd Hanifah H(2023)Predicting electronic personal health record (e-PHR) acceptance: evidence from emerging marketInternational Journal of Pharmaceutical and Healthcare Marketing10.1108/IJPHM-06-2021-006917:4(405-428)Online publication date: 15-Sep-2023
https://doi.org/10.1108/IJPHM-06-2021-0069
Faria GSilva TAbreu J(2022)Active and Healthy Aging: The Role of a Proactive Information Assistant Embedded on TVApplications and Usability of Interactive TV10.1007/978-3-031-22210-8_5(70-84)Online publication date: 17-Dec-2022
https://doi.org/10.1007/978-3-031-22210-8_5
Show More Cited By

Index Terms

The adoption of "silver" e-Health technologies: first hints on technology acceptance factors for elderly in Italy
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Social and professional topics

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Published In

cover image ACM Other conferences

ICEGOV '14: Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance

October 2014

563 pages

ISBN:9781605586113

DOI:10.1145/2691195

Program Chairs:
Elsa Estevez
United Nations University
,
Marijn Janssen
Delft University of Technology
,
Luís Soares Barbosa
University of Minho

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Macao Foundation, Macao SAR Govt: Macao Foundation, Macao SAR Government
Municipio de Guimarães: Municipio de Guimarães

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2014

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ICEGOV2014

Sponsor:

Macao Foundation, Macao SAR Govt
Municipio de Guimarães

ICEGOV2014: 8th International Conference on Theory and Practice of Electronic Governance

October 27 - 30, 2014

Guimaraes, Portugal

Acceptance Rates

ICEGOV '14 Paper Acceptance Rate 30 of 73 submissions, 41%;

Overall Acceptance Rate 350 of 865 submissions, 40%

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Cited By

Shin HUm SYoon HChoi EShin WLee HKim Y(2023)Comprehensive Senior Technology Acceptance Model of Daily Living Assistive Technology for Older Adults With Frailty: Cross-sectional StudyJournal of Medical Internet Research10.2196/4193525(e41935)Online publication date: 10-Apr-2023
https://doi.org/10.2196/41935
Khor XTeoh AVafaei-Zadeh AMd Hanifah H(2023)Predicting electronic personal health record (e-PHR) acceptance: evidence from emerging marketInternational Journal of Pharmaceutical and Healthcare Marketing10.1108/IJPHM-06-2021-006917:4(405-428)Online publication date: 15-Sep-2023
https://doi.org/10.1108/IJPHM-06-2021-0069
Faria GSilva TAbreu J(2022)Active and Healthy Aging: The Role of a Proactive Information Assistant Embedded on TVApplications and Usability of Interactive TV10.1007/978-3-031-22210-8_5(70-84)Online publication date: 17-Dec-2022
https://doi.org/10.1007/978-3-031-22210-8_5
Yu Jde Antonio AVillalba-Mora E(2021)Influential Factors for Older Users’ Acceptance of eHealth Services: an Integrated Acceptance Framework (IAF) (Preprint)Journal of Medical Internet Research10.2196/31920Online publication date: 9-Jul-2021
https://doi.org/10.2196/31920
Bolaños MCollazos CGutiérrez F(2021)Experiences in the application of some models of technology acceptanceProceedings of the XXI International Conference on Human Computer Interaction10.1145/3471391.3471413(1-5)Online publication date: 22-Sep-2021
https://dl.acm.org/doi/10.1145/3471391.3471413
Hashizume SSuzuki ITakazawa KOchiai Y(2021)Discussion of Intelligent Electric Wheelchairs for Caregivers and Care RecipientsHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-030-78358-7_35(500-516)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-78358-7_35
Comunello FFernández Ardèvol MMulargia SBelotti F(2016)Women, youth and everything else: age-based and gendered stereotypes in relation to digital technology among elderly Italian mobile phone usersMedia, Culture & Society10.1177/016344371667436339:6(798-815)Online publication date: 20-Oct-2016
https://doi.org/10.1177/0163443716674363
Kim SGajos KMuller MGrosz BPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Acceptance of mobile technology by older adultsProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2935334.2935380(147-157)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2935334.2935380

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