School of Economics and Management, Yanshan University, Qinhuangdao, China.
PLoS One. 2024 May 31;19(5):e0297696. doi: 10.1371/journal.pone.0297696. eCollection 2024.
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.
在中国人口老龄化的背景下,中国正在积极尝试创新的养老模式,因此智能社区养老最近受到了广泛关注。然而,由于相关参与者的利益多样化,该模式的实施结果尚未达到预期。在这项研究中,我们确定了智能社区养老中最核心的利益相关者,开发了一个包括地方政府、社区、服务供应企业和有老年成员家庭的四方进化博弈模型。我们运用系统动力学方法模拟了进化路径,并探讨了多方参与者层面的复杂相互作用,以促进社区养老服务从传统向智能的转变,然后为加快智能社区养老建设提出管理见解。结果表明:(1)游戏中的四个参与者相互影响,密切相关,它们之间的良性互动将进一步激发智能社区养老产业的活力;(2)适当提高政策支持力度将强力推动智能社区养老,对需求方(有老年成员的家庭)的激励效果更为显著;(3)当家庭对智能服务的偏好增加,并且对社区和企业的感知价值达到一定阈值时,社区和企业将积极采用智能解决方案和技术,并制定稳定的投资组合策略;(4)同时提高智能水平和资源协同的措施将促进向智能服务的系统进化,系统对企业内部行为比对社区和企业之间的外部行为更为敏感。