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作 者:张俊瑞[1] 张颖[1] 董南雁[1] ZHANG Jun-rui;ZHANG Ying;DONG Nan-yan(School of Management,Xi'an Jiaotong University,Xi'an 710049,China)
出 处:《现代财经(天津财经大学学报)》2024年第11期22-38,共17页Modern Finance and Economics:Journal of Tianjin University of Finance and Economics
基 金:国家社会科学基金重大项目(23&ZD092)。
摘 要:数字经济背景下,数据资产管理日益成为研究热点。围绕这一主题,本文采用文献计量法和内容分析法,对数据资产管理及相关领域的已有文献进行定量和定性分析。基于相关理论和概念基础,将数据资产管理定义为:以数据资产预期价值实现为目标进行的数据价值增值、数据资产运营和数据资产处置的全生命周期管理活动。根据定义构建研究框架对文献进行系统分析,结果表明关于数据价值增值、数据资产运营的管理活动,以及数据被确认为资产、数据资产预期价值实现两个关键节点的研究较为丰富,而对数据资产处置的研究尚有较大拓展空间。最后,对数据资产管理的未来研究方向进行了展望。Under the background of digital economy,data asset management has become a hot research topic.Focusing on this theme,this paper adopts bibliometric method and content analysis method to quantitatively and qualitatively analyze the existing literature on data asset management and related fields.Based on relevant theories and conceptual foundations,data asset management is defined as the full life cycle management activities of data value enhancement,data asset operation and data asset disposal with the goal of realizing the expected value of data assets.A systematic analysis of the literature based on the research framework constructed on the basis of the definition shows that the research on the management activities of data value enhancement,data asset operation,as well as the two key nodes of data being recognized as an asset and the realization of the expected value of the data asset are relatively abundant,while the research on data asset disposal still has much room for expansion.Finally,the future research direction of data asset management is prospected.
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