王磊. 智慧养老产业链整合的影响因素研究———基于结构方程模型(SEM)[J]. 电子科技大学学报社科版, 2020, 22(5): 69-76. DOI: 10.14071/j.1008-8105(2020)-4008
引用本文: 王磊. 智慧养老产业链整合的影响因素研究———基于结构方程模型(SEM)[J]. 电子科技大学学报社科版, 2020, 22(5): 69-76. DOI: 10.14071/j.1008-8105(2020)-4008
WANG Lei. Research on the Influencing Factors of the Integration of Smart Elderly Care Industry Chain———Based on structural equation model (SEM)[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2020, 22(5): 69-76. DOI: 10.14071/j.1008-8105(2020)-4008
Citation: WANG Lei. Research on the Influencing Factors of the Integration of Smart Elderly Care Industry Chain———Based on structural equation model (SEM)[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2020, 22(5): 69-76. DOI: 10.14071/j.1008-8105(2020)-4008

智慧养老产业链整合的影响因素研究—基于结构方程模型(SEM)

Research on the Influencing Factors of the Integration of Smart Elderly Care Industry Chain—Based on structural equation model (SEM)

  • 摘要:
    目的/意义提高智慧养老产业链整合的效率,保障智慧养老产业的健康发展。
    设计/方法研究智慧养老产业链整合的影响因素,构建“三重函数关系”,运用结构方程模型(SEM)来分析影响智慧养老产业链整合的因素。
    结论/发现研究结果表明:(1)养老服务环境、老龄群体需求结构、智慧养老服务系统与智慧养老产业发展状况正相关;(2)养老服务经营、智慧养老服务系统与服务反馈效果正相关;(3)智慧养老产业发展状况与服务反馈效果正相关;(4)智慧养老产业服务模式、智慧养老企业经营方式、老龄群体需求倾向,一定程度上限制了智慧养老产业链整合。基于此,研究提出三点建议:(1)培育完整的智慧养老产业服务模式,构建三重“产业链整合”系统;(2)完善智慧养老企业的经营方式,形成“目标–平台–模式–产品”的链条;(3)构建老年群体需求(身心–身体)变化模型,明确不同年龄段老龄群体对智慧养老的需求倾向。

     

    Abstract: Purpose/Significance The research aims to improve the efficiency of the integration of smart elderly care industry chain and secure the healthy development of the industry. Design/Methodology This paper studies the influencing factors of the integration of smart elderly care industry chain, builds a “triple function relationship”, and uses the structural equation model (SEM) to analyze factors affecting the integration of smart elderly care industry chain. Findings/Conclusions Research results show that (1) the elderly care environment, the demand structure of the elderly, and smart elderly care service system are positively correlated to the development of the industry; (2) elderly care operation and smart elderly care system are positively correlated to the effect of service feedback; (3) the development of smart elderly care industry is positively correlated to the effect of service feedback; (4) the service model of smart elderly care industry, the management model of smart elderly care enterprises, and the demand tendency of the elderly have restricted the integration of smart elderly care industry chain to a certain extent. Based on that, this paper puts forward three suggestions: (1) creating a comprehensive service model of smart elderly care industry and building a triple “industry chain integration” system; (2) improving the management model of smart elderly care enterprises to form the chain that incorporates “target, platform, model and product”; (3) building a model of changes in the (mental and physical) needs of the elderly, and clarifying their demand tendency at different ages for smart elderly care service.

     

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