SEM Based Study on the Influencing Factors of the Integration of China’s Smart Elderly Care Industry Chain

Abstract

Purpose – At present, the problem of old-age security is becoming more and more prominent, and smart elderly care has become a trend in social elderly care development. However, there is relatively little research on industry chain integration, and research combining “smart elderly care” and “industry chain integration” is even more absent, although the theory of industry chain integration has put forward valuable ideas. The theory of industry chain integration should be combined with smart elderly care to carry out research and analysis on different perspectives of the industry chain, so as to promote the construction of smart elderly care industry chain integration and lay the foundation for the further research of smart elderly care industry chain integration.
 Design/Methodology/Approach – Firstly, this study’s descriptive, factor, reliability, and validity analysis, as well as the establishment and verification of structural equations, were carried out for the obtained data using SPSS statistical analysis software and AMOS. Then, the descriptive analysis processes the basic information of interviewees, and the reliability and validity of the scale are tested. In this process, principal components were extracted through factor analysis to modify the model, and a path analysis of the factors and other analyses were carried out through the establishment of structural equations to obtain the final research results.
 Findings – The results show that there are problems with the current demand patterns of the aging group, the operation of smart elderly care enterprises, the service modes of the smart elderly care industry and the elderly care service environment, which limit the integration of the smart elderly care industry chain to a certain extent.
 Research Implications – The prior research suffers from two types of problems, mainly focusing on qualitative analysis, a lack of empirical research, no clarification of the logical relationship between various perspectives, and a lack of variables and model systems. Therefore, the value of this study is to use structural equation modeling (SEM) to construct the factors influencing the integration of the smart elderly care industry chain and carry out an empirical study on the influencing factors.