首页|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

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

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

data assetizationcase studyreference framework

杨晨、刘小钰、李远刚、魏凌伊

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上海商学院商务信息学院,上海 200235

上海数据交易所有限公司,上海 201203

上海商学院商务经济学院,上海 200235

数据资产化 案例研究 参考架构

上海市科技计划上海市科技计划

2369210610023DZ2204500

2024

大数据
人民邮电出版社

大数据

CSTPCD
ISSN:2096-0271
年,卷(期):2024.10(2)
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