Luo Juan, Meng Lingqi
School of Social Development and Public Policy, Fudan University, Shanghai, China.
Shanghai University of Engineering Science, Shanghai, China.
Front Genet. 2022 Jun 15;13:905887. doi: 10.3389/fgene.2022.905887. eCollection 2022.
With the rapid development of artificial intelligence and Internet-of-Things technology, the traditional pension service mode has changed, and intelligent pension services have become a new direction of development. Descriptive statistical analysis is conducted on the supply status and demand of intelligent pension services. It is believed that the current intelligent pension services are still in the initial stage of development, and the contradiction between supply and demand is prominent. The demand for intelligent pension of the elderly is high, but the user acceptance and satisfaction are not high. On this basis, variables were selected from individual characteristics, family situation, economic status, education level, living conditions, and other indicators for multivariate unconditional logistic regression analysis. It was found that the adoption behavior of intelligent pension service users was most significantly affected by age, number of children, living conditions, service cost, service docking channel, and equipment operation difficulty. Based on the conclusion, this article puts forward some suggestions such as taking the government as the center to realize the multi-governance of intelligent pension services, improving the supply of intelligent pension service-related facilities guided by demand, optimizing the service mode based on the platform to realize dynamic combination, and taking talents as the core to promote the high-quality development of intelligent pension services.
随着人工智能和物联网技术的快速发展，传统养老服务模式发生了改变，智能养老服务成为新的发展方向。对智能养老服务的供给状况和需求进行描述性统计分析。研究认为，当前智能养老服务仍处于发展初期，供需矛盾突出。老年人对智能养老的需求较高，但用户接受度和满意度不高。在此基础上，从个人特征、家庭状况、经济状况、教育水平、生活条件等指标中选取变量进行多因素非条件logistic回归分析。研究发现，智能养老服务用户的采纳行为受年龄、子女数量、生活条件、服务成本、服务对接渠道、设备操作难度影响最为显著。基于该结论，本文提出了以政府为中心实现智能养老服务多元治理、以需求为导向完善智能养老服务相关设施供给、基于平台优化服务模式实现动态组合、以人才为核心推动智能养老服务高质量发展等建议。
