信息资源管理学报 ›› 2026, Vol. 16 ›› Issue (2): 25-39.doi: 10.13365/j.jirm.2026.02.025

• 学术专栏-数字经济与数据资产评估 • 上一篇    下一篇

基于场景化动态评估的数据资产价值研究

夏文蕾1,2,3 魏梓萌2,3 余辉4 崔伟5   

  1. 1.武汉理工大学创业学院,武汉,430070; 
    2.武汉理工大学管理学院,武汉,430070; 
    3.武汉理工大学数字治理与管理决策创新研究院,武汉,430070; 
    4.湖北工业大学经济与管理学院,武汉,430068; 
    5.武汉理工大学财务处,武汉,430070
  • 出版日期:2026-03-26 发布日期:2026-06-04
  • 作者简介:夏文蕾,博士,讲师,研究方向为数据资产、技术创新与企业绩效;魏梓萌,硕士生,研究方向为数据要素与科技服务;余辉,博士,副教授,研究方向为科技情报与科技服务; 崔伟(通讯作者),硕士,副研究员,研究方向为工商管理、财务管理与资产管理,Email: cuiw027@163.com。
  • 基金资助:
    本文系教育部人文社会科学青年项目“ 数据要素驱动视角下数据资产的确认计量、信息披露及经济后果研究”(24YJC630239)、国家自然科学基金青年项目“科技竞争态势下技术需求弱信号感知研究”(72404081)和湖北省教育厅哲学社会科学青年项目“多维数据融合下面向技术需求的技术成果智能匹配机制”(22Q046)的研究成果之一。

Research on the Value of Data Assets Based on Scenario-Based Dynamic Assessment

Xia Wenlei1, 2, 3 Wei Zimeng2, 3 Yu Hui4 Cui Wei5   

  1. 1.School of Entrepreneurship, Wuhan University of Technology, Wuhan, 430070; 
    2.School of Management, Wuhan University of Technology, Wuhan, 430070; 
    3.Institute of Digital Governance and Management Decision Innovation, Wuhan University of Technology, Wuhan, 430070; 
    4.School of Economics and Management, Hubei University of Technology, Wuhan, 430068; 
    5.Finance Department, Wuhan University of Technology, Wuhan, 43007
  • Online:2026-03-26 Published:2026-06-04
  • About author:Xia Wenlei, PhD, lecturer, research interests including data assets, technological innovation, and corporate performance; Wei Zimeng, master's student, research interests including data elements and technology services; Yu Hui, PhD, associate professor, research interests including scientific intelligence and technology services; Cui Wei(corresponding author), master, associate research fellow, research interests including business administration, financial management, and asset management, Email: cuiw027@163.com .
  • Supported by:
    This work is one of the research results of the Ministry of Education's Humanities and Social Sciences Youth Project "Research on the Identification and Measurement, Information Disclosure, and Economic Consequences of Data Assets from the Perspective of Data Element Driven"(24YJC630239), the National Natural Science Foundation of China's Youth Project "Research on Weak Signal Perception of Technological Demand in the Context of Science and Technology Competition"(72404081) and the Philosophy and Social Sciences Youth Project of Hubei Province's Department of Education "Intelligent Matching Mechanism for Technological Achievements Directed at Technical Needs under Multi-dimensional Data Fusion"(22Q046).

摘要: 重点聚焦数据资产在不同应用场景中的价值差异与演化路径,提出一套可操作的场景化动态定价方法体系。基于“自用型-交易型”双场景分类逻辑,构建以开发、应用与风险为核心维度的三维系统动力学模型,嵌入函数模拟价值变量的动态耦合与时滞机制,通过 Vensim 实施多情境仿真与敏感性分析,识别关键变量对数据资产价值演化的影响路径与反馈特征。仿真结果表明,开发价值对数据资产增长具有基础性支撑作用,应用价值路径具备显著的放大弹性,风险控制机制则提升系统稳定性并抑制负向波动;流通效率、价值衍生能力与数据完整性为价值生成系统的关键弹性因子。本研究构建可解释、可演化的数据资产动态价值评估模型,可为数据要素场景化估值提供理论支撑与建模工具

关键词: 动态定价, 数据资产, 系统动力学, 价值评估, 场景化, 仿真实验

Abstract: This study focuses on the value differences and evolutionary patterns of data assets across distinct application scenarios, proposing a practical framework for scenario-based dynamic pricing. A system dynamics model is developed based on a dual-scenario classification of “self-use” and “transaction-oriented” data applications, structured around development, application, and risk dimensions. Simulation functions are embedded to capture coupling effects and time delays. Using Vensim , multi-scenario simulations and sensitivity analyses are conducted to identify key drivers and feedback loops in the value evolution process. The simulations show that development contributes foundationally to asset growth, application value demonstrates strong amplification effects, and risk control improves system stability. Flow efficiency, value derivation, and data integrity are identified as the most elastic variables influencing value outcomes. The proposed model offers a structured and adaptive approach to valuing data assets under diverse scenarios.

Key words: Dynamic pricing, Data assets, System dynamics, Value assessment;Contextualization; Simulation experimen

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