Research On Measure Model Optimization Of Customer Satisfaction Of Online Group Buying And Its Evaluation

With the rapid development of ecommerce, online group buying graduallybecomes a new form of business，more and more customers take care of it. Customersatisfaction is a very important factor to measure the enterprise product and servicequality So the paper study the online group buying on the degree of customersatisfaction.First, according to the relevant literature and field surveys which is used forreference,and combining with the characteristics of online group buying,the paperfound a hypothesis measurement model of customer satisfaction. The model contantsfunction、safety、business、service these four indexes.Second, through the survey date and use reliability analysis, validity analysis,factor analysis, relative analysis these statistic method to analyze the date, inorder tooptimizate the model. the results show that the main measure index is businessindex,during the business index,the variety degree of goods and the price、pricediscount rate are the important factors,then the service index,its provides business’scustomer service is important,the initial quality of website is not very important.Third, using analytic hierarchy process and grey evaluation to evaluate customersatisfaction overall, and alignment with the Ai Rui Advisory Network surveyt,confirmed that this evaluation method is feasible, the evaluation method can be thereference about the related research in future. finally in order to improve the degree ofcustomer satisfaction and promote its better development,the paper put forward thecorresponding countermeasures and suggestions.