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

Research on Enterprise Incentive Mechanism under the Innovative Application of Power Data

Authors
Chongyang Liu1, Huan Xu2, *, Shuo Cong1, Yanni Li1, Shuangbo He1
1Energy Development Research Institute, Guangzhou, Guangdong, 510000, China
2China Southern Power Grid, Guangzhou, Guangdong, 510000, China
*Corresponding author. Email: xuhuan@csg.cn
Corresponding Author
Huan Xu
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_37How to use a DOI?
Keywords
Power data; Innovative application; Enterprise rules; Incentive mechanism; Enterprise reform; Data integration
Abstract

At present, the management structure of enterprise incentive mechanism is generally set in the form of single structure, and the coverage of incentive is small, which leads to the decline of the multi-stage efficiency of the final incentive mechanism. Therefore, this paper puts forward the design and practical research of enterprise incentive mechanism under the innovative application of power data. According to the current measurement requirements and standards, firstly, multi-dimensional incentive targets are formulated, and the cross-dynamic mode is adopted to expand the coverage of incentives, and the combined management structure of cross-dynamic power data application and incentive mechanism is designed. On this basis, the application model of incentive mechanism in power data enterprises is constructed, and the application of incentive mechanism is finally improved by feedback processing. The test results show that: according to the currently selected six aspects of work content, working hours, work performance, salary and treatment, subsidy standards and assessment structure, the results of multi-stage efficient calculation of the incentive mechanism can reach more than 90% in the end, which shows that the designed incentive mechanism has been further optimized and improved under the background of innovative application of electric power data, and the overall effect has been significantly improved, and the incentive implementation degree is high, which has practical application value.

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
10.2991/978-94-6463-326-9_37
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_37How 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

TY  - CONF
AU  - Chongyang Liu
AU  - Huan Xu
AU  - Shuo Cong
AU  - Yanni Li
AU  - Shuangbo He
PY  - 2023
DA  - 2023/12/30
TI  - Research on Enterprise Incentive Mechanism under the Innovative Application of Power Data
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 359
EP  - 368
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_37
DO  - 10.2991/978-94-6463-326-9_37
ID  - Liu2023
ER  -