article

Obstacles to social networking website use among older adults

Author:

Michael T. BraunAuthors Info & Claims

Computers in Human Behavior, Volume 29, Issue 3

Pages 673 - 680

https://doi.org/10.1016/j.chb.2012.12.004

Published: 01 May 2013 Publication History

Abstract

Social networking websites (SNSs) have become popular among younger adults, but internet-using older adults have not adopted this communication medium nearly as quickly (Lenhart, 2009; Madden, 2010). This study seeks to understand what factors encourage or discourage older adults from using SNS, like Facebook, to help understand what may be done to ensure both generations have communication media over which they enjoy and feel comfortable communicating. Using the Technology Acceptance Model (TAM; Davis, 1989; Davis, Bagozzi, & Warshaw, 1989) as a framework, 124 internet-using older adults aged 60-90, completed attitudinal measures of perceived usefulness of SNS, perceived ease of use of websites, social pressures to use SNS, and trust in SNS, as well as behavioral measures of current internet use, SNS use, and intention to use SNS in the future. Regression analyses revealed significant predictors of SNS include perceived usefulness, trust in SNS, and frequency of internet use. Unexpectedly, factors of ease of use and social pressures were not significant predictors. Implications for the TAM and for individuals with an interest in getting older adults to use SNS are discussed.

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Cited By

Zhou ZPan TZhao QCheng XWang D(2024)Factors influencing seniors’ switching to m-government servicesInformation and Management10.1016/j.im.2024.10392861:3Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.im.2024.103928
Shi JLiu MFu GDai X(2023)Internet use among older adultsComputers in Human Behavior10.1016/j.chb.2022.107538139:COnline publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.chb.2022.107538
Jing RJin GGuo YZhang YLi L(2023)The association between constant and new Internet use and depressive symptoms among older adults in ChinaComputers in Human Behavior10.1016/j.chb.2022.107480138:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.chb.2022.107480
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cover image Computers in Human Behavior

Computers in Human Behavior Volume 29, Issue 3

May, 2013

752 pages

ISSN:0747-5632

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Copyright © Elsevier Ltd © 2012.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 May 2013

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Cited By

Zhou ZPan TZhao QCheng XWang D(2024)Factors influencing seniors’ switching to m-government servicesInformation and Management10.1016/j.im.2024.10392861:3Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.im.2024.103928
Shi JLiu MFu GDai X(2023)Internet use among older adultsComputers in Human Behavior10.1016/j.chb.2022.107538139:COnline publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.chb.2022.107538
Jing RJin GGuo YZhang YLi L(2023)The association between constant and new Internet use and depressive symptoms among older adults in ChinaComputers in Human Behavior10.1016/j.chb.2022.107480138:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.chb.2022.107480
Lian JLi XZhao MZhao YZhu Q(2023)Older Adults’ Engagement with Short Video Applications During the COVID-19 Pandemic: Perceived Affordances and ConstraintsHCI International 2023 – Late Breaking Papers10.1007/978-3-031-48041-6_7(85-99)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-48041-6_7
Mylonopoulou VWeilenmann ABuratti STorgersson ORost M(2022)A Socioecological Approach to ICT Use by Adults over 65 and its Implication on DesignProceedings of the 25th International Academic Mindtrek Conference10.1145/3569219.3569353(203-218)Online publication date: 16-Nov-2022
https://dl.acm.org/doi/10.1145/3569219.3569353
Yap YTan STan SChoon S(2022)Integrating the capability approach and technology acceptance model to explain the elderly’s use intention of online grocery shoppingTelematics and Informatics10.1016/j.tele.2022.10184272:COnline publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1016/j.tele.2022.101842
Lissitsa SZychlinski EKagan M(2022)The Silent Generation vs Baby BoomersComputers in Human Behavior10.1016/j.chb.2021.107098128:COnline publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.chb.2021.107098
Chew TChin CLeau Y(2022)Untangling factors influencing social networking sites use among older adults: a literature reviewUniversal Access in the Information Society10.1007/s10209-022-00874-y22:3(687-698)Online publication date: 17-Mar-2022
https://dl.acm.org/doi/10.1007/s10209-022-00874-y
Wu LKane G(2021)Network-Biased Technical ChangeOrganization Science10.1287/orsc.2020.136832:2(273-292)Online publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1287/orsc.2020.1368
Nurhas IGeisler SOjala APawlowski J(2021)Barriers and wellbeing-oriented enablers of intergenerational innovation in the digital ageUniversal Access in the Information Society10.1007/s10209-021-00844-w22:2(591-607)Online publication date: 7-Oct-2021
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