Knowledge mapping and evolution of research on older adults’ technology acceptance

A bibliometric study from 2013 to 2023

Bibliographic Data

ID22236706
AuthorsXianru Shang (0009-0000-8906-3216, Shaanxi University of Science and Technology), Zijian Liu (0000-0001-9197-473X, Shaanxi University of Science and Technology), Chen Gong (0000-0002-9388-1171, Shaanxi University of Science and Technology), Zhigang Hu (0000-0003-3421-0674, Shaanxi University of Science and Technology), Yuexuan Wu (Shaanxi University of Science and Technology), Chengliang Wang (0000-0003-2208-3508, East China Normal University, corresponding author)
Year2024
Volume11
Issue1
Publication date2024-08-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-024-03658-2
OpenAlexW4402091190
LanguageEN
Citations received10
References cited121

The rapid expansion of information technology and the intensification of population aging are two prominent features of contemporary societal development. Investigating older adults’ acceptance and use of technology is key to facilitating their integration into an information-driven society. Given this context, the technology acceptance of older adults has emerged as a prioritized research topic, attracting widespread attention in the academic community. However, existing research remains fragmented and lacks a systematic framework. To address this gap, we employed bibliometric methods, utilizing the Web of Science Core Collection to conduct a comprehensive review of literature on older adults’ technology acceptance from 2013 to 2023. Utilizing VOSviewer and CiteSpace for data assessment and visualization, we created knowledge mappings of research on older adults’ technology acceptance. Our study employed multidimensional methods such as co-occurrence analysis, clustering, and burst analysis to: (1) reveal research dynamics, key journals, and domains in this field; (2) identify leading countries, their collaborative networks, and core research institutions and authors; (3) recognize the foundational knowledge system centered on theoretical model deepening, emerging technology applications, and research methods and evaluation, uncovering seminal literature and observing a shift from early theoretical and influential factor analyses to empirical studies focusing on individual factors and emerging technologies; (4) moreover, current research hotspots are primarily in the areas of factors influencing technology adoption, human-robot interaction experiences, mobile health management, and aging-in-place technology, highlighting the evolutionary context and quality distribution of research themes. Finally, we recommend that future research should deeply explore improvements in theoretical models, long-term usage, and user experience evaluation. Overall, this study presents a clear framework of existing research in the field of older adults’ technology acceptance, providing an important reference for future theoretical exploration and innovative applications

Knowledge management · Computer Science · Psychology · Sharing Economy and Platforms · Technology Adoption and User Behaviour · Technology Use by Older Adults

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