Research on Intelligent Personnel Compensation and Performance Based on Database and KPI Index System Management Platform
- DOI
- 10.2991/978-94-6463-042-8_34How to use a DOI?
- Keywords
- database; KPI index system; management platform; intelligence; personnel compensation; performance
- Abstract
Faced with the current Chinese personnel compensation system and performance management assessment rate is too unified, poor fault tolerance, low query performance. The intelligent system management of personnel compensation and performance appraisal based on database and KPI index system is designed. The overall modular structure of intelligent compensation and performance system is summarized, the hardware and software of the system are designed, and the framework and function of each module are analyzed in detail. In the establishment of job evaluation indicators, job evaluation indicators are calculated, and according to the calculation results, the correlation analysis between job evaluation results and salary is completed. Experimental results show that the designed intelligent compensation and performance management system has high query performance and fault tolerance. The query error rate is only 0.2%, and the system response time can be controlled within 1.5 seconds at any time in the daytime.
- 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 - Rui Lan PY - 2022 DA - 2022/12/29 TI - Research on Intelligent Personnel Compensation and Performance Based on Database and KPI Index System Management Platform BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 226 EP - 233 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_34 DO - 10.2991/978-94-6463-042-8_34 ID - Lan2022 ER -