A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City

Qiansheng Zhang; Yaxian Chen; Guoming Wu; Huahong Chen; Xiaoya Sun; Huijuan Zang

doi:doi:10.11648/j.ajmcm.20200501.14

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A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City

Qiansheng Zhang, Yaxian Chen, Guoming Wu, Huahong Chen, Xiaoya Sun, Huijuan Zang

Published in American Journal of Mathematical and Computer Modelling (Volume 5, Issue 1)

Received: 25 February 2020 Accepted: 24 March 2020 Published: 14 April 2020

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Abstract

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.

Published in	American Journal of Mathematical and Computer Modelling (Volume 5, Issue 1)
DOI	10.11648/j.ajmcm.20200501.14
Page(s)	22-28
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Knowledge Payment Platform, Customer Satisfaction Index, Satisfaction Degree Model, Factor Analysis, Multivariable Analysis

References

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[7]	Zhao Yang, Zhou Ruoxin, Yang Bin, A 2020 perspective on “How knowledge contributor characteristics and reputation affect user payment decisions in paid Q&A? An empirical analysis from the perspective of trust theory” [J], Electronic Commerce Research and Applications, 2020, 40.
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APA Style

Qiansheng Zhang, Yaxian Chen, Guoming Wu, Huahong Chen, Xiaoya Sun, et al. (2020). A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City. American Journal of Mathematical and Computer Modelling, 5(1), 22-28. https://doi.org/10.11648/j.ajmcm.20200501.14

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ACS Style

Qiansheng Zhang; Yaxian Chen; Guoming Wu; Huahong Chen; Xiaoya Sun, et al. A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City. Am. J. Math. Comput. Model. 2020, 5(1), 22-28. doi: 10.11648/j.ajmcm.20200501.14

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AMA Style

Qiansheng Zhang, Yaxian Chen, Guoming Wu, Huahong Chen, Xiaoya Sun, et al. A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City. Am J Math Comput Model. 2020;5(1):22-28. doi: 10.11648/j.ajmcm.20200501.14

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@article{10.11648/j.ajmcm.20200501.14,
  author = {Qiansheng Zhang and Yaxian Chen and Guoming Wu and Huahong Chen and Xiaoya Sun and Huijuan Zang},
  title = {A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City},
  journal = {American Journal of Mathematical and Computer Modelling},
  volume = {5},
  number = {1},
  pages = {22-28},
  doi = {10.11648/j.ajmcm.20200501.14},
  url = {https://doi.org/10.11648/j.ajmcm.20200501.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20200501.14},
  abstract = {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.},
 year = {2020}
}

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TY  - JOUR
T1  - A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City
AU  - Qiansheng Zhang
AU  - Yaxian Chen
AU  - Guoming Wu
AU  - Huahong Chen
AU  - Xiaoya Sun
AU  - Huijuan Zang
Y1  - 2020/04/14
PY  - 2020
N1  - https://doi.org/10.11648/j.ajmcm.20200501.14
DO  - 10.11648/j.ajmcm.20200501.14
T2  - American Journal of Mathematical and Computer Modelling
JF  - American Journal of Mathematical and Computer Modelling
JO  - American Journal of Mathematical and Computer Modelling
SP  - 22
EP  - 28
PB  - Science Publishing Group
SN  - 2578-8280
UR  - https://doi.org/10.11648/j.ajmcm.20200501.14
AB  - 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.
VL  - 5
IS  - 1
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Qiansheng Zhang, Yaxian Chen, Guoming Wu, Huahong Chen, Xiaoya Sun, et al. (2020). A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City. American Journal of Mathematical and Computer Modelling, 5(1), 22-28. https://doi.org/10.11648/j.ajmcm.20200501.14

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ACS Style

Qiansheng Zhang; Yaxian Chen; Guoming Wu; Huahong Chen; Xiaoya Sun, et al. A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City. Am. J. Math. Comput. Model. 2020, 5(1), 22-28. doi: 10.11648/j.ajmcm.20200501.14

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AMA Style

Qiansheng Zhang, Yaxian Chen, Guoming Wu, Huahong Chen, Xiaoya Sun, et al. A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City. Am J Math Comput Model. 2020;5(1):22-28. doi: 10.11648/j.ajmcm.20200501.14

Copy | Download

@article{10.11648/j.ajmcm.20200501.14,
  author = {Qiansheng Zhang and Yaxian Chen and Guoming Wu and Huahong Chen and Xiaoya Sun and Huijuan Zang},
  title = {A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City},
  journal = {American Journal of Mathematical and Computer Modelling},
  volume = {5},
  number = {1},
  pages = {22-28},
  doi = {10.11648/j.ajmcm.20200501.14},
  url = {https://doi.org/10.11648/j.ajmcm.20200501.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20200501.14},
  abstract = {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.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - A Satisfaction Degree Evaluation Model of Knowledge Payment Platform for College Students in Guangzhou City
AU  - Qiansheng Zhang
AU  - Yaxian Chen
AU  - Guoming Wu
AU  - Huahong Chen
AU  - Xiaoya Sun
AU  - Huijuan Zang
Y1  - 2020/04/14
PY  - 2020
N1  - https://doi.org/10.11648/j.ajmcm.20200501.14
DO  - 10.11648/j.ajmcm.20200501.14
T2  - American Journal of Mathematical and Computer Modelling
JF  - American Journal of Mathematical and Computer Modelling
JO  - American Journal of Mathematical and Computer Modelling
SP  - 22
EP  - 28
PB  - Science Publishing Group
SN  - 2578-8280
UR  - https://doi.org/10.11648/j.ajmcm.20200501.14
AB  - 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.
VL  - 5
IS  - 1
ER  -

Copy | Download