Evaluating User Satisfaction Based on BP Neural Network in Mobile Government

被引：0

作者：

Li, Wenwen ^{[1
]}

Pan, Yunxia ^{[1
]}

机构：

[1] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014) | 2014年 / 114卷

关键词：

user satissfaction; m-government; BP neural network;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：43 / 47

页数：5

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