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Silver surfers adopting and using Facebook? A quantitative study of Hertfordshire, UK applied to organizational and social change

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  • Choudrie, Jyoti
  • Vyas, Amit

Abstract

With an ageing population that is on the increase, there are many older adults still in employment well past their retirement age. Currently, technological developments in the form of Online Social Networks (OSN11Throughout this paper ‘OSN’ is used to refer to Online Social Networks — in plural.) are also impacting society and organizations alike, with organizations searching for ways to cope with these changes. The aim of this research study is to investigate the factors affecting the likelihood of adoption and use of OSN within an older population. Using an online questionnaire, empirical data was drawn from Hertfordshire, a vicinity in the United Kingdom, and analysed using the Partial Least Squares method. The findings revealed that — in a household situation — older individuals adopt internet technologies if they have ‘anytime access’ to internet capable devices, a fast reliable internet connection, the support of their family and friends, as well as an apparent provision of privacy. For organizations, these findings indicate that the provision of a technical/trusted support department is essential, as is the provision for broadband and reliable internet connections. For academia, this research identifies factors that have been developed using theoretical concepts that will impact older adults' adoption and use of new technologies, but requires further research into whether these factors will impact a cross generation of workers in the organization.

Suggested Citation

  • Choudrie, Jyoti & Vyas, Amit, 2014. "Silver surfers adopting and using Facebook? A quantitative study of Hertfordshire, UK applied to organizational and social change," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 293-305.
    • Handle: RePEc:eee:tefoso:v:89:y:2014:i:c:p:293-305
    DOI: 10.1016/j.techfore.2014.08.007
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Kelly Tian & Russell W. Belk, 2005. "Extended Self and Possessions in the Workplace," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 297-310, September.
    3. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    5. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    6. Meghana Ayyagari & Thorsten Beck & Asli Demirguc-Kunt, 2007. "Small and Medium Enterprises Across the Globe," Small Business Economics, Springer, vol. 29(4), pages 415-434, December.
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    Cited by:

    1. Choudrie, Jyoti & Manandhar, Nuga & Castro, Carolina & Obuekwe, Chikelue, 2023. "Hey Siri, Google! Can you help me? A qualitative case study of smartphones AI functions in SMEs," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Yong Liu & Manting Li & Juanjuan Zhao & Haidong Yu, 2019. "Responding to environmental pollution-related online posts: behavior of Web surfers and its influencing factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 2931-2943, December.
    3. Jyoti Choudrie & Efpraxia Zamani & Chike Obuekwe, 2022. "Bridging the Digital Divide in Ethnic Minority Older Adults: an Organisational Qualitative Study," Information Systems Frontiers, Springer, vol. 24(4), pages 1355-1375, August.
    4. Choudrie, Jyoti & Junior, Chike-Obuekwe & McKenna, Brad & Richter, Shahper, 2018. "Understanding and conceptualising the adoption, use and diffusion of mobile banking in older adults: A research agenda and conceptual framework," Journal of Business Research, Elsevier, vol. 88(C), pages 449-465.
    5. Jünger, Moritz & Mietzner, Mark, 2020. "Banking goes digital: The adoption of FinTech services by German households," Finance Research Letters, Elsevier, vol. 34(C).
    6. Jyoti Choudrie & Sutee Pheeraphuttranghkoon & Soheil Davari, 2020. "The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study," Information Systems Frontiers, Springer, vol. 22(3), pages 673-695, June.

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