Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai
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 int...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-06-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.905887/full |
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author | Juan Luo Juan Luo Lingqi Meng |
author_facet | Juan Luo Juan Luo Lingqi Meng |
author_sort | Juan Luo |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T14:08:07Z |
format | Article |
id | doaj.art-cd0f0ac65c1142be89b516e8ad1ed571 |
institution | Directory Open Access Journal |
issn | 1664-8021 |
language | English |
last_indexed | 2024-04-12T14:08:07Z |
publishDate | 2022-06-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Genetics |
spelling | doaj.art-cd0f0ac65c1142be89b516e8ad1ed5712022-12-22T03:30:01ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-06-011310.3389/fgene.2022.905887905887Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in ShanghaiJuan Luo0Juan Luo1Lingqi Meng2School of Social Development and Public Policy, Fudan University, Shanghai, ChinaShanghai University of Engineering Science, Shanghai, ChinaShanghai University of Engineering Science, Shanghai, ChinaWith 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.https://www.frontiersin.org/articles/10.3389/fgene.2022.905887/fullartificial intelligenceintelligent pensionpension modelinfluencing factorshome care |
spellingShingle | Juan Luo Juan Luo Lingqi Meng Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai Frontiers in Genetics artificial intelligence intelligent pension pension model influencing factors home care |
title | Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai |
title_full | Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai |
title_fullStr | Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai |
title_full_unstemmed | Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai |
title_short | Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai |
title_sort | research on adoption behavior and influencing factors of intelligent pension services for elderly in shanghai |
topic | artificial intelligence intelligent pension pension model influencing factors home care |
url | https://www.frontiersin.org/articles/10.3389/fgene.2022.905887/full |
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