Evaluating User Satisfaction Based on BP Neural Network in Mobile Government

DOI

10.2991/sekeie-14.2014.10How to use a DOI?

Keywords

User satissfaction; m-government; BP neural network

Abstract

With the explosion in the use of mobile technologies, more people can get m-government services. It is related to the interests of many people, so it is necessary to evaluate user satisfaction of the services. Some proposed models fail to evaluate the m-government from the public’s perspective. The purpose of this study is to create an evaluation model to evaluate user satisfaction of m-government. Based on the theory of SERQUAL and Kano model, an evaluation model was established and the indicators are grouped into five constructs: activity; convenience; friendliness; reliability and responsiveness. Then we conducted a questionnaire survey to test the model. To make the evaluation more objective, we use a quantitative evaluation method, the BP neural network, to develop, test and validate on 14 M-government platforms. And the results confirm that this model can be put into practice. This study has given us a direction to improve the user satisfaction of m-government.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenwen Li
AU  - Yunxia Pan
PY  - 2014/03
DA  - 2014/03
TI  - Evaluating User Satisfaction Based on BP Neural Network in Mobile Government
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 43
EP  - 47
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.10
DO  - 10.2991/sekeie-14.2014.10
ID  - Li2014/03
ER  -