Improvement & Application Research Of Enterprises' Customer Satisfaction Index Model In Casual Clothes

With increasingly fierce competition of domestic leisure clothing market, more and more enterprises began to realize the importance of customers and making customers satisfied also become one of the important tasks.Thus the customer satisfaction arrest our attention now, and many enterprises also use a variety of methods to investigate and research the customer satisfaction. However, due to lack of concept and accurate understanding of customer satisfaction in the domestic enterprises, so there are many assessment methods and ideas which are not scientific and reasonable in the investigation and study. It is difficult to use customer satisfaction index method for good evaluation and applied research.The authors conduct a market survey and research on Metersbonwe, study the relevant research theory and typical models of satisfaction research at home and abroad, combine the characteristics of the domestic casual clothes market, integrate the European Customer Satisfaction Index model (ECSI) and the American Customer Satisfaction Index model (ACSI), and finally propose a customer satisfaction index improved model based on ECSI and ACSI.In this paper, based on the actual investigation and study, authors propose an improved model of the causal model, assume the relationship between variables of the model, and then build Customer Satisfaction Index Model with the method of the linear structural equation. Then authors input Metersbonwe investigation data into professional statistical software (SPSS Statisticsl7.0 and Amos Graphicsl7.0) to demonstrate the improved model. Finally authors validate the rationality of the survey data and improved model, through the reliability analysis and evaluation of structural equation modeling. In the end authors obtain the relationship and the impact on corporate image, customer expectations, perceived quality, perceived value, customer satisfaction and customer loyalty, through the optimal model parameter estimation. Through this paper, casual clothes enterprises can position themselves correctly, identify their weaknesses and make improvements, meet customer needs better, and then improve operational efficiency.