
老年人智慧养老技术持续使用意愿影响因素的元分析
Influencing Factors of Smart Senior Technology Continuance Intention Based on Meta Analysis
[目的/意义] 研究为理解和预测老年人的技术持续使用意愿提供有价值的参考依据,有助于指导智慧养老技术设计与改进,并进一步提升用户体验。 [方法/过程] 采用元分析方法,对34篇定量研究文献进行综合分析,着重探讨影响老年人智慧养老技术持续使用意愿的14组关键变量关系,并借助调节效应检验剖析研究结果的异质性来源。 [结果/结论] 研究结果显示,社会影响、便利条件、满意度、感知有用性、感知易用性、信任以及参与度与智慧养老技术持续使用意愿呈显著正相关关系。感知风险与技术焦虑则与持续使用意愿呈负相关关系。样本性别构成、所属国家经济发展水平、技术类别和样本规模可以调节变量间相关性,造成研究结果间的差异。
[Purpose/Significance] The study provides valuable references for understanding and predicting older adults’ smart senior technology continuance intention, which can help guide the design and improvement of smart senior technologies and further enhance the user experience. [Method/Process] The meta-analysis method was used to comprehensively analyze 34 quantitative research papers, focusing on the relationship between 14 groups of key variables that affect the intention of the elderly to continue to use smart senior technology, and the source of heterogeneity of the research results was analyzed with the help of the moderating effect test. [Result/Conclusion] The findings showed that social influence, facilitating condition, satisfaction, perceived usefulness, perceived ease of use, trust, and participation were significantly and positively related to smart senior technology continuance intention. In contrast, perceived risk and technology anxiety were negatively associated with smart senior technology continuance intention. In addition, the gender composition of the sample, the level of economic development of the country, the type of technology, and the size of the sample can moderate the correlations between the variables, resulting in differences between the findings.
older adults / smart senior technology / continuance intention / influencing factors / meta-analysis
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杨 静:进行数据收集,撰写与修改论文;
马 琪:确定论文选题与框架,修改论文。
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