Research on the Intelligent Upgrade of Public Administration and Government Services

DOI

10.2991/978-94-6239-719-4_50How to use a DOI?

Keywords

Public administration; Government services; Intelligence; Digital transformation; Smart government

Abstract

With the rapid advancement of information technology, public administration and government services are undergoing a profound intelligent transformation. This paper systematically examines the background, current status, challenges, and pathways of this intelligent upgrade. It first reviews the theoretical foundations and developmental trajectory of intelligent government services, then analyzes major practices and achievements in China’s current intelligent government services, identifies bottlenecks in data sharing, technology application, and institutional safeguards, and finally proposes implementation strategies encompassing top-level design, technological integration, standardization, and talent development. The study demonstrates that intelligent upgrading represents not merely technological innovation but a fundamental transformation of governance concepts and models, playing a vital role in enhancing government efficiency, optimizing the business environment, and improving public satisfaction.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lei Chen
AU  - Ke Cheng
PY  - 2026
DA  - 2026/07/09
TI  - Research on the Intelligent Upgrade of Public Administration and Government Services
BT  - Proceedings of the 2026 6th International Conference on Enterprise Management and Economic Development (ICEMED 2026)
PB  - Atlantis Press
SP  - 432
EP  - 438
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-719-4_50
DO  - 10.2991/978-94-6239-719-4_50
ID  - Chen2026
ER  -