ArticlePloS one2023
Adoption of social networking sites among older adults: The role of the technology readiness and the generation to identifying segments.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Motivations and segmentation of instagram users as a social network site: Their sociodemographic profiles, satisfaction and loyalty.PloS one · 2026Article
- Technology readiness of patients and its association with intention to use nursing robots: latent profile analysis.BMC nursing · 2025Article
- Psychological safety and its influencing factors among elderly patients following traumatic fracture surgery: a cross-sectional study.BMC geriatrics · 2025Article
- Analyzing Preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool.Heliyon · 2024Article
- Investigating older adults users' willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory.Frontiers in public health · 2024Article
- The Role of Mass Media in Influencing the Lifestyle of the Elderly during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2023Article
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Authors and funding
5 authors.
Funding
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Abstract
Older adults can take advantage of social networking sites (SNS). However, SNS are not without the access gap among elders. Assuming that the data are homogenous within the same population may not be precise in social science research. What is known about the heterogeneous nature of older people? Considering this issue and the lack of research to help reflect the heterogeneity of elderly users of technologies, this study aims to identify segments in the use of SNS by the elderly. Data were collected from older Chilean adults. Cluster analysis suggested different profiles of adult users regarding the Technology Readiness Index. We used a hybrid multigroup partial least squares-structural equation model, including the Pathmox algorithm, to identify segments in the structural model. Based on the technology readiness profiles and the generation, we identified three segments with different determinant effects to explain the intention to use SNS: independent elder, technological-apathetic elder, and technological-eager elder. The contributions from this study are triple. First, this study helps to better understand how the elderly adopt information technology. Second, this study complements the existing corpus of research on using the technology readiness index in the elderly population. Third, we used an innovative method to segment users in the acceptance technology model.
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