ArticlePloS one2024
Smart transition pathways and development incentive mechanism of China's smart community elderly care industry under market dominance: Considering a multi-subjective behavior game.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Factors Affecting Universal Access to Smart Home Technologies Among Older Adults Living Alone: A Privacy-Safety Trade-Off Perspective.Healthcare (Basel, Switzerland) · 2026Article
- Spatio-temporal evolution characteristics, challenges and future perspectives of intelligent health eldercare industry development in China: a spatial analysis and policy text mining from 1982 to 2024.BMC health services research · 2026Article
- Promoting endogenous mutual-aid older adults care in rural areas for healthy aging: an evolutionary game-based analytical framework.Frontiers in public health · 2026Article
- Public-private partnerships for UAV-assisted emergency medical services in aging communities: an evolutionary game approach.Frontiers in public health · 2026Article
- What might influence the elderly willingness to participate in "shared elderly care"? A mixed methods study.Frontiers in medicine · 2025Article
- Dilemmas in the usage of community-based home care and smart home care services for older adults among family caregivers of older adults with mild cognitive impairment (MCI): a qualitative study.Frontiers in public health · 2025Article
- Spatio-temporal evolution and driving factors of the coupling and coordinated development of China's digital economy and older adult care services.Frontiers in public health · 2025Article
- Evolutionary game analysis of building a sustainable intelligent elderly care service platform.Scientific reports · 2024Article
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4 authors.
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Abstract
Against the backdrop of an aging population, China is actively experimenting with an innovative elderly care model, so smart community elderly care has recently received widespread attention. However, the results of the implementation of the model have not yet met the expectation due to the variety of interests among the relevant participants. In this study, we identified the most core stakeholders in smart community elderly care, developed a four-party evolutionary game model including local governments, communities, service supply enterprises and households with elderly members. By applying the system dynamics method, we simulate the evolutionary paths and explore the complex interactions at the multiparticipant level in order to facilitate the transition of community elderly care services from traditional to smart, and then propose managerial insights for accelerating the construction of smart community elderly care. The results suggest that: (1) the four players in the game influence each other and are intimately related, and the benign interaction between them will further stimulate the vitality of the smart community elderly care industry; (2) appropriate improvement in policy support will strongly promote smart community elderly care, and the incentive effect on the demand side (households with elderly members) is more significant; (3) when households' preference for smart services increases, and the perceived value to communities and enterprises reaches a certain threshold, communities and enterprises will actively adopt smart solution and technology as well as develop stable portfolio strategy; (4) measures such as simultaneously increasing the level of smart and resource synergy will promote the system evolution toward smart services, and the system is more sensitive to the internal behavior of the enterprise than the external behavior between community and enterprise.
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