Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

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Research on the Driving Mode of Enterprise Architecture Based on Business Ability Decoupling for Digital Transformation of Power Industry

Authors
Guorui Wang1, Jie Yang2, Qian Zhuang2, *, Kehuan Li3, Jiang Jiang1
1Guangdong Power Grid Co., Ltd, CSG, Guangzhou, Guangdong, 510180, China
2Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd, CSG, Guangzhou, Guangdong, 510510, China
3Information Center, Foshan Power Supply Bureau, Guangdong Power Grid Co., Ltd, CSG Foshan, Guangzhou, Guangdong, 528010, China
*Corresponding author. Email: c43134927@qq.com
Corresponding Author
Qian Zhuang
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_23How to use a DOI?
Keywords
Business ability decoupling; Enterprise Architecture; Digital transformation of power industry; Driving mode; TOGAF The Open Group Architecture Framework; CPS Cyber-Physical Systems
Abstract

Due to the limitation of business capacity, the digital transformation of electric power industry faces great challenges. Therefore, the enterprise architecture based on business capacity decoupling is proposed to study the driving mode of digital transformation of electric power industry. Based on the analysis of the characteristics of electric power enterprises’ business capabilities, this paper decouples them from the aspects of process design capability, business technology capability, process operation capability and organizational management capability. Based on the decoupling results, the organization constructs enterprise architecture with The Open Group Architecture Framework (TOGAF) and Cyber-Physical System (CPS) as guidance, and details the specific driving business ability content. In the test results, under the design-driven mode, the digitalization degree of the tested enterprise is the highest, reaching 79.92%.

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.

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Volume Title
Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
978-94-6463-326-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_23How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Guorui Wang
AU  - Jie Yang
AU  - Qian Zhuang
AU  - Kehuan Li
AU  - Jiang Jiang
PY  - 2023
DA  - 2023/12/30
TI  - Research on the Driving Mode of Enterprise Architecture Based on Business Ability Decoupling for Digital Transformation of Power Industry
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 216
EP  - 223
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_23
DO  - 10.2991/978-94-6463-326-9_23
ID  - Wang2023
ER  -