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A Meta-analysis of the Impact Factors of Technology Acceptance among Older Adults Based on Technology Acceptance Model
- CAO Xiancai, ZHANG Hao, ZHOU Bolin, CHEN Xiantao, CUI Chenghong, WU Jie
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Psychological Development and Education. 2025, 41(6):
799-816.
doi:10.16187/j.cnki.issn1001-4918.2025.06.05
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To explore the influencing factors of the elderly’s intention to adopt technology, this study conducted a meta-analysis of 85 studies (comprising 334 effect sizes). The results indicated that: (1) Perceived technology functionalcharacteristics, perceived technology emotional characteristics, and perceived environmental characteristics are highly correlated with behavioral intention. Regarding personal characteristics of older adults, technology self-efficacy showed a significantly positive correlation with behavioral intention, while technology anxiety and resistance to change did not demonstrate a significant correlation with behavioral intention; (2) The type of intelligent technology significantly moderates the relationship between perceived usefulness, ease of use, and behavioral intention, while no moderating effects were found for age, gender, and culture. This study extends perceived technology emotional characteristics and personal characteristics of older adults into an existing technology acceptance model, providing a theoretical basis for future research, design, and application regarding intelligent technologies for older adults.