A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China
In order to explore the influencing factors of the e-government responsiveness in China, the System-Competition-Interaction analysis model was proposed to reflect the ability of e-government to respond to citizens’ demands. 960 pieces of information were collected from 480 local e-government website...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/6654354 |
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| author | Shaoqing Tian Rongrong He Chongli Huang Qiong Feng Fan Jiang |
| author_facet | Shaoqing Tian Rongrong He Chongli Huang Qiong Feng Fan Jiang |
| author_sort | Shaoqing Tian |
| collection | DOAJ |
| description | In order to explore the influencing factors of the e-government responsiveness in China, the System-Competition-Interaction analysis model was proposed to reflect the ability of e-government to respond to citizens’ demands. 960 pieces of information were collected from 480 local e-government websites in China, and field experiments were conducted on how local governments responded to citizens’ demands. The results show that there are regional differences in e-government responsiveness in China. The response probability of Northeast China is the lowest, and that of western region is the slowest. The response system and neighborhood effect are the core elements that affect e-government responsiveness. The interaction demands of citizens can not significantly affect government responsiveness. According to the research results, the practical enlightenment is that the future should change from “system-driven response” and “competition-driven response” to “citizen-driven response,” which is of a certain practical significance for improving the response level of e-government of local governments in China. |
| format | Article |
| id | doaj-art-d6148ceb96b5469ea2dabd1161efcc5b |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-d6148ceb96b5469ea2dabd1161efcc5b2025-02-03T06:05:16ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/66543546654354A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in ChinaShaoqing Tian0Rongrong He1Chongli Huang2Qiong Feng3Fan Jiang4Postdoctoral Station of Business Administration, Harbin University of Commerce, Harbin 150028, ChinaCollege of Applied Science and Technology, Hainan University, Haikou 570228, ChinaCollege of Applied Science and Technology, Hainan University, Haikou 570228, ChinaCollege of Applied Science and Technology, Hainan University, Haikou 570228, ChinaCollege of Applied Science and Technology, Hainan University, Haikou 570228, ChinaIn order to explore the influencing factors of the e-government responsiveness in China, the System-Competition-Interaction analysis model was proposed to reflect the ability of e-government to respond to citizens’ demands. 960 pieces of information were collected from 480 local e-government websites in China, and field experiments were conducted on how local governments responded to citizens’ demands. The results show that there are regional differences in e-government responsiveness in China. The response probability of Northeast China is the lowest, and that of western region is the slowest. The response system and neighborhood effect are the core elements that affect e-government responsiveness. The interaction demands of citizens can not significantly affect government responsiveness. According to the research results, the practical enlightenment is that the future should change from “system-driven response” and “competition-driven response” to “citizen-driven response,” which is of a certain practical significance for improving the response level of e-government of local governments in China.http://dx.doi.org/10.1155/2021/6654354 |
| spellingShingle | Shaoqing Tian Rongrong He Chongli Huang Qiong Feng Fan Jiang A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China Discrete Dynamics in Nature and Society |
| title | A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China |
| title_full | A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China |
| title_fullStr | A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China |
| title_full_unstemmed | A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China |
| title_short | A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China |
| title_sort | sci analysis model research on influencing factors of local e government responsiveness in china |
| url | http://dx.doi.org/10.1155/2021/6654354 |
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