A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City
American Journal of Mathematical and Computer Modelling
Volume 5, Issue 1, March 2020, Pages: 22-28
Received: Feb. 25, 2020;
Accepted: Mar. 24, 2020;
Published: Apr. 14, 2020
Views 431 Downloads 174
Qiansheng Zhang, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P. R. China
Yaxian Chen, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P. R. China
Guoming Wu, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P. R. China
Huahong Chen, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P. R. China
Xiaoya Sun, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P. R. China
Huijuan Zang, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P. R. China
With the rapid development of knowledge information and internet technology, a variety of online knowledge paid products and knowledge payment platforms are widely used by college students. The satisfaction evaluation of knowledge payment platform not only helps college students choose a suitable knowledge payment platform, but also helps the knowledge payment platform improve competitiveness and standardization. This paper collects customer satisfaction data by designing questionnaires and conducting customer satisfaction surveys. Using statistical analysis methods such as descriptive statistics, parameter testing and reliability analysis, the customer satisfaction data are analyzed from different dimensions. Based on American customer satisfaction index (ACSI) and the characteristics of knowledge payment, content quality, technical quality, update frequency and advertising marketing quality are extracted as important factors for satisfaction evaluation. Then, a satisfaction evaluation model of knowledge payment platform is constructed to evaluate the satisfaction degree of college students on the knowledge payment platform by employing factor analysis and multivariable regression analysis. The proposed model can predict the development trend of knowledge payment platforms and provide valuable suggestions for the healthy development and the selection of knowledge payment platforms.
A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City, American Journal of Mathematical and Computer Modelling.
Vol. 5, No. 1,
2020, pp. 22-28.
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