大数据 ›› 2024, Vol. 10 ›› Issue (2): 3-16.doi: 10.11959/j.issn.2096-0271.2024026

• 专题:数据资产化技术 • 上一篇    

企业数据资产化实践案例研究:基于数据要素形态演化视角

杨晨1, 刘小钰2, 李远刚1, 魏凌伊3   

  1. 1 上海商学院商务信息学院,上海 200235
    2 上海数据交易所有限公司,上海 201203
    3 上海商学院商务经济学院,上海 200235
  • 出版日期:2024-03-01 发布日期:2024-03-01
  • 作者简介:杨晨(1993- ),女,博士,上海商学院商务信息学院讲师,主要研究方向为数据资产与数据商业、源代码自动生成。
    刘小钰(1995- ),女,同济大学工程管理硕士生,上海数据交易所有限公司总经理助理,主要研究方向为数据资产入表、数据资产创新应用等。
    李远刚(1974- ),男,博士,上海商学院商务信息学院副教授,主要研究方向为数据商业、数据资产。
    魏凌伊(2001- ),女,上海商学院商务经济学院硕士生,主要研究方向为数字商务。
  • 基金资助:
    上海市科技计划项目(23692106100);上海市科技计划项目(23DZ2204500)

Exploring the practical framework for enterprise data assetization from the perspective of data elements evolution

Chen YANG1, Xiaoyu LIU2, Yuangang LI1, Lingyi WEI3   

  1. 1 Faculty of Business Information, Shanghai Business School, Shanghai 200235, China
    2 Shanghai Data Exchange COPR., Shanghai 201203, China
    3 Faculty of Business Economics, Shanghai Business School, Shanghai 200235, China
  • Online:2024-03-01 Published:2024-03-01
  • Supported by:
    Shanghai Science and Technology Plan Project(23692106100);Shanghai Science and Technology Plan Project(23DZ2204500)

摘要:

数据资产化和数据要素优质供给,对赋能实体经济有放大、叠加和倍增效应。当前研究专注于对数据资产的理论框架和核心环节的深入研究,在实践应用方面缺乏系统性思维和体系化指导。提出了面向企业经营性数据资产的实践探索框架,即“五段六维”数据资产化过程模型,旨在探究“企业如何有效配置和优化不同维度的使能因素,以有序推进数据资产化过程”这一科学问题。通过调研上海市典型行业内企业的数据产品,凝练了企业数据要素的优质供给策略,并在实践中探索并验证该模型在企业数据资产化进程的适用性,为企业数据资产化提供了实践依据。模型的提出与实例化为促进数据要素优质供给提供了参考。

关键词: 数据资产化, 案例研究, 参考架构

Abstract:

The assetization of data and the provision of high-quality data elements have amplifying, cumulative and multiplicative effects on empowering the real economy.Current research primarily focuses on theoretical frameworks and critical links of data assetization and lacks systematic thinking and systematic guidance in practical application.This paper introduced a practical framework for operational data assets, termed as the "five-stage, six-dimensional" data assetization model, aiming to explore the scientific problem of “how can enterprises effectively configure and optimize enabling factors of various dimensions to systematically advance the process of data assetization”.By investigating the data products of enterprises in typical industries in Shanghai, the high-quality supply strategy of enterprise data elements was condensed.The applicability of this model in the process of enterprise data capitalization was explored and verified in practice, which provided practical basis for enterprise data capitalization.The formulation and instantiation of the model provide reference to promote the supply of high-quality data elements.

Key words: data assetization, case study, reference framework

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