Research Article
Optimization Research on the Performance Appraisal Process of Civil Servants Based on the OEEF Model
@INPROCEEDINGS{10.4108/eai.27-10-2023.2341925, author={Han Qiu and Hongyun Chen and Yan Zhang and Linlin Zhang}, title={Optimization Research on the Performance Appraisal Process of Civil Servants Based on the OEEF Model}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={performance evaluation oeef model big data application individual profiling}, doi={10.4108/eai.27-10-2023.2341925} }- Han Qiu
Hongyun Chen
Yan Zhang
Linlin Zhang
Year: 2024
Optimization Research on the Performance Appraisal Process of Civil Servants Based on the OEEF Model
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2341925
Abstract
This article aims to optimize the performance appraisal process of civil servants by applying big data to enhance fairness and scientific rigor in assessments. It begins by highlighting the issues in traditional appraisal methods and then proposes a full-process data asset management flow based on the OEEF model. This flow encompasses modules for goal management, execution management, evaluation implementation, and feedback. The composition, theoretical basis, characteristics, functionalities, and extensions of the OEEF model are elaborated. Finally, the article provides a detailed exposition of process deployment and application, with a specific focus on comprehensive data utilization and the generation of dashboard interfaces. Research findings indicate that this system effectively enhances the scientific validity, fairness, and transparency of performance appraisals, thereby promoting the motivation and development of civil servants.