基于三方演化博弈的数据质量优化策略研究  

Research on Data Quality Optimization Strategy Based on Tripartite Evolutionary Game Theory

作　　者：李跃文[1] 王一祎 章瑞[1] LI Yuewen;WANG Yiyi;ZHANG Rui

机构地区：[1]上海工程技术大学管理学院

出　　处：《价格理论与实践》2024年第7期109-114,共6页Price:Theory & Practice

基　　金：2023年上海市哲学社会科学规划课题(2023BGL008)。

摘　　要：随着数据作为生产要素进行交易,提高数据质量、突破供需错配具有重要意义。本文运用演化博弈理论构建包含数据交易平台、数据供应方和数据需求方的三方演化博弈模型,分析各参与主体的策略演化路径及影响因素,随后进行数值仿真并结合贵阳大数据交易所的经营历程进行案例分析。得出结论:平台交易额增加、需求方购买意愿提升有助于平台高投入引导提高数据质量;数据供应方的策略选择与提供高质量数据创造的直接、间接收益及额外支出的成本相关;数据质量越高、为企业创造的额外收益越高将会激励需求方购买高质量数据。基于此,应完善激励机制,提高主体参与积极性;调整经营模式,提高平台服务水平;构建协同优化体系,推动高质量数据流通。With data being traded as a factor of production,improving data quality and breaking through the mismatch between supply and demand are of great significance.This paper uses evolutionary game theory to construct a tripartite evolutionary game model involving data trading platforms,data suppliers,and data demanders.It analyzes the strategic evolution paths and influencing factors of each participating entity,followed by numerical simulation and case analysis combined with the business history of Guiyang Big Data Exchange.The conclusion is that an increase in platform transaction volume and the willingness of demanders to purchase contribute to the platform's high investment in guiding the improvement of data quality;The strategic choices of data suppliers are related to the direct and indirect benefits of providing high-quality data and the costs of additional expenditures;The higher the data quality and the more benefits created for enterprises,the more it will motivate demanders to purchase high-quality data.Based on this,we should improve the incentive mechanism to enhance the enthusiasm of the main participants;Adjust the business model to improve the service level of the platform;And build a collaborative optimization system to promote the circulation of high-quality data.

关 键 词：数据交易 数据质量 三方演化博弈 贵阳数据交易所 

分 类 号：F224.32[经济管理—国民经济] F49