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数据资产研究的发展脉络、关键领域与整合框架OA

Development context,key research areas,and integrated framework of data assets

中文摘要英文摘要

随着数据要素市场化进程的加快,数据资产作为推动数字经济发展的关键资源,引发了社会各界的广泛关注,学术界对此开展了大量研究.基于对 111 篇代表性文献的系统分析,识别出现有研究主要围绕数据资产价值评估、数据资产入表、数据资产化、数据资产信息披露与数据资产交易五大关键领域展开.在此基础上,整合现有研究构建新的框架,以厘清各领域间的内在逻辑与互动关系,并进一步展望未来的研究方向,从而为推动数据资产制度建设与实践提供有益的借鉴.

With the acceleration of the marketization of data as a production factor,data assets have emerged as a pivotal resource driving the development of the digital economy,thereby attracting widespread attention from various sectors of society.In response,the academic community has conducted extensive research on this subject.Based on a systematic analysis of 111 representative articles,this paper identifies five key research areas in the existing literature:data asset valuation,data asset recognition on balance sheets,data assetization,data asset information disclosure,and data asset transactions.On this basis,it integrates existing research and constructs a novel framework to clarify the internal logic and interrelationships among these domains.Furthermore,it outlines potential directions for future research,aiming to offer valuable insights for the institutional development and practical implementation of data asset management.

苏春;高弋迪

重庆理工大学 会计学院,重庆 400054重庆理工大学 会计学院,重庆 400054

管理科学

数据资产发展脉络关键领域整合框架

data assetdevelopment contextkey research areaintegrated framework

《重庆理工大学学报》 2026 (14)

102-115,14

重庆市社会科学规划博士项目"代际传承视角下优化家族企业投资结构的治理机制研究"(2021BS063)重庆市研究生科研创新项目"代际传承影响企业'漂绿'行为的作用机理与实现路径研究"(CYS240734)

10.3969/j.issn.1674-8425(s).2026.07.009

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