Bibliographische Detailangaben
| Titel: |
How Does the Citizen's Education Level Affect Their Internet Rights Protection Willingness? ——The Parallel Intermediary Effect of Digital Information Acquisition Ability and Utilization Ability. |
| Autoren: |
Guo, Yuanyuan, Deng, Yi, Meng, Qingguo |
| Quelle: |
Digital Government: Research & Practice; Dec2023, Vol. 4 Issue 4, p1-18, 18p |
| Schlagwörter: |
CITIZENS, DIGITAL transformation, INTERNET, INTERNET in education, INFORMATION skills |
| Abstract: |
Amid urban digital transformation, products and services have undergone extensive digitization, yielding convenience and benefits for residents. However, this rapid change has also posed challenges to individuals' online rights. Protecting these rights is not only legally essential but also crucial for nurturing digital economic growth. This investigation delves into the impact of education on people's inclination to uphold their online rights. It also explores the intermediary role of two key factors: the ability to acquire digital information and the skill to effectively utilize such information. The findings reveal three essential points: Firstly, education both have directly and indirectly positive influence on citizens' Internet rights protection willingness. Secondly, digital information acquisition ability and digital information utilization ability play a parallel intermediary role in education and Internet rights protection willingness. Thirdly, in comparison to the ability to utilize digital information, education has a more pronounced impact on the ability to acquire digital information. This study underscores the necessity for governmental bodies to assign significant importance to enhancing citizens' competence in both acquisition and utilization digital information. Such efforts are pivotal in bolstering individuals' determination to safeguard their Internet rights effectively. [ABSTRACT FROM AUTHOR] |
|
Copyright of Digital Government: Research & Practice is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Datenbank: |
Complementary Index |