Research on the performance evaluation system of digital government capacity building based on power data

Dawei Song; Yibo Jia; Zhe Ji; Yixue Yang

doi:10.2991/978-94-6463-276-7_52

<Previous Article In Volume

Next Article In Volume>

Research on the performance evaluation system of digital government capacity building based on power data

Authors

Dawei Song¹, Yibo Jia¹, Zhe Ji¹, Yixue Yang²^{, *}

¹Economic and Technological Research Institute of State Grid Henan Electric Power Company, Zhengzhou, Henan, China

²Xi’an International Studies University, Xi’an, China

^*Corresponding author. Email: 2317006141@qq.com

Corresponding Author

Yixue Yang

Available Online 27 October 2023.

DOI: 10.2991/978-94-6463-276-7_52 How to use a DOI?
Keywords: electricity data; performance evaluation; digital government
Abstract: The use of power data to improve digital government capacity building is an effective way to realize the modernization of the national capacity system. By summarizing the application path of power data to empower digital government, six aspects including demand response, business support, data supply, coverage, generalization ability, and promotion and application are summarized. Establish an evaluation model in two aspects, and empower the evaluation indicators, and quantitatively evaluate the application status and effectiveness of power data in economic and social development and government modernization governance. This paper provides a quantifiable evaluation tool for the performance evaluation of power data to enhance digital government capabilities, deepened the theoretical research on the performance evaluation of digital government capabilities, and promoted the practical application of power data to improve the performance of digital government capabilities.
Copyright: © 2023 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.

Download article (PDF)

<Previous Article In Volume

Next Article In Volume>

Volume Title: Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 27 October 2023
ISBN: 978-94-6463-276-7
ISSN: 2667-128X
DOI: 10.2991/978-94-6463-276-7_52 How to use a DOI?
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.

Cite this article

ris enw bib

TY  - CONF
AU  - Dawei Song
AU  - Yibo Jia
AU  - Zhe Ji
AU  - Yixue Yang
PY  - 2023
DA  - 2023/10/27
TI  - Research on the performance evaluation system of digital government capacity building based on power data
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 497
EP  - 505
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_52
DO  - 10.2991/978-94-6463-276-7_52
ID  - Song2023
ER  -

download .riscopy to clipboard