银发一族智慧社区养老服务参与意愿影响因素研究

Abstract

With the accelerating global aging population, solving eldercare issues has become a significant challenge, and smart community elderly care services based on big data and internet technology have emerged as a response. To further analyze the factors influencing the elderly’s willingness to participate in smart community elderly care services, this study first reviews relevant literature from the perspectives of smart community elderly care and willingness to participate, providing a theoretical basis for this paper. Next, to ensure the typicality of the research, Weifang City is selected as the study’s experimental site. Questionnaires were distributed to collect data on the elderly’s willingness to participate in smart community elderly care services, and univariate analysis was conducted for factor screening. The screened results were then analyzed using binary logistic regression. The results are mainly analyzed from three aspects: individual factors such as age, type of household registration, and occupation; family internal factors such as living situation, family support for participating in community elderly care, and external factors such as neighborhood relationships and exposure to privacy. These factors influence the elderly’s willingness to participate in smart community elderly care. Finally, through discussion, the study identifies existing problems and proposes measures to improve the elderly’s willingness to participate in smart community elderly care, such as providing demand-oriented services, updating elderly care concepts, and creating a favorable external environment.