公共资源交易信用评价体系的KPI重构与动态更新机制设计

KPI Reconstruction and Dynamic Update Mechanism Design of the Credit Evaluation System for Public Resource Transactions

摘要

公共资源交易信用体系是推动交易市场公平竞争、提高交易效率和加强市场监管的重要制度安排。随着数据技术的深化应用与政府治理现代化要求的不断提升，现行信用评价指标体系（KPI）在适应性、时效性与动态反馈能力方面逐渐暴露出局限性。一方面，部分指标设置静态滞后、评判标准僵化，难以反映交易主体真实表现；另一方面，信息孤岛与评价维度单一问题依然存在，制约了信用评价的精准性与引导力。本文以制度需求和技术条件双重变迁为背景，系统分析现有公共资源交易信用评价体系的痛点与短板，提出以绩效导向、行为轨迹和数据融合为核心思路重构关键绩效指标（KPI），并构建基于多维数据驱动的动态更新机制。

Abstract

The credit system for public resource transactions is an important institutional arrangement for promoting fair competition in the trading market, improving transaction efficiency and strengthening market supervision. With the in-depth application of data technology and the continuous improvement of the requirements for modernizing government governance, the current credit evaluation index system (KPI) has gradually exposed its limitations in terms of adaptability, timeliness and dynamic feedback capabilities. On the one hand, some indicators are set statically lagging behind and the evaluation criteria are rigid, making it difficult to reflect the true performance of the trading entities. On the other hand, the problems of information silos and single evaluation dimensions still exist, which restrict the accuracy and guiding power of credit evaluation. This paper, against the backdrop of dual changes in institutional demands and technical conditions, systematically analyzes the pain points and shortcomings of the existing credit evaluation system for public resource transactions, proposes to reconstruct key performance indicators (KPIs) with performance orientation, behavioral trajectories, and data integration as the core ideas, and builds a dynamic update mechanism based on multi-dimensional data-driven.

关键词

公共资源交易 / 信用评价 / KPI重构 / 动态更新 / 制度设计

Key words

Public Resource trading / Credit evaluation / KPI Reconstruction / Dynamic update / Institutional design

参考文献

[1] 蒋敏。 “互联网+”背景下公共资源交易信用体系建设的相关思考[J]. 中国科技投资, 2024,(17): 21-23.

[2] 施玥. 公共资源交易平台运行优化研究[D]. 西北农林科技大学, 2024.

[3] 黄俊. 广西公共资源交易地方标准修订的流程优化研究[D]. 广西大学, 2023.

[4] 付宏燕. 公共资源交易大数据流通共享的研究[J]. 现代计算机, 2023, 29(17): 90-94.

[5] 李晓明. C市公共资源交易集团发展战略研究[D]. 重庆大学, 2023.