复杂网络视角下政府购买居家养老服务质量影响机理研究

Research on the Influencing Mechanism of Government Purchasing Home-based Care Service Quality from the Perspective of Complex Network

为实现对政府购买居家养老服务质量的科学管控,将直觉模糊二元语义模型及复杂网络分析法引入到对其服务质量影响机理的研究中,从系统的角度探究影响服务质量的关键因素,并提出相应的对策建议。首先,以政府购买居家养老服务链为载体,挖掘政府购买居家养老服务质量影响因素,并运用直觉模糊二元语义模型测度因素间的影响强度;其次,构建政府购买居家养老服务质量影响因素网络,采用优化的加权LR算法评估网络中各因素节点的重要度;最后,结合实证分析验证解决方案的有效性和可行性。研究结果表明,政府监管力度、财政投入以及专业护工比例对政府购买居家养老服务质量的影响最为显著。这为地方政府部门的质量管控决策提供了有益参考。

In order to realize the scientific management and control of government-purchased home-based care service quality,this paper introduced intuitionistic fuzzy binary semantic model and complex network analysis method into the research on the influencing mechanism of service quality,explored the key factors affecting service quality from the perspective of system,and put forward corresponding countermeasures and suggestions.Firstly,with the government-purchased home-based care service chain as the carrier,the influencing factors of government-purchased home-based care service quality are explored,and the influence intensity among factors is measured by using intuitionistic fuzzy binary semantic model.Secondly,based on this,a network of factors affecting the quality of government-purchased home care service was constructed,and the importance of each factor node in the network was evaluated by an optimized weighted LR algorithm.Finally,the effectiveness and feasibility of the proposed method are verified by empirical analysis.The results show that government supervision degree,financial investment and proportion of professional nursing workers exert the most significant impact on the quality of home-based care service purchased by the government,which provides a useful reference for the quality control decisions of local government departments.