公司数据治理政策文本注意力研究  

Corporate Data Governance Policy Text Attention Research

作　　者：胡璇 吴国庆[1] 

机构地区：[1]上海工程技术大学管理学院,上海

出　　处：《应用数学进展》2022年第11期7905-7914,共10页Advances in Applied Mathematics

摘　　要：随着移动互联网、物联网、人工智能和区块链等信息技术的进一步发展,世界进入数据时代。数据已成为企业的核心资源之一,是与物质资源和人力资源同样重要的生产要素。本文从企业管理和数据本身的角度出发,对公司数据治理的定义和构成要素等通过查阅国内外相关文献进行界定,对目前公司数据治理的问题进行分析总结。本研究运用Nvivo12 plus软件对通过中国政府网、工业和信息化部网站、北大法宝数据库中检索的我国2015年~2022年3月的39份公司数据治理政策文本进行内容分析和编码,基于Rothwell的政策工具模型,结合数据生命周期和政策效力级别构建三维分析模型,以揭示数据治理政策工具的体系结构与目标,从量化角度分析目前公司数据治理政策倾向及现存问题,以此针对性地提出公司数据治理优化策略。研究发现,政府对于数据治理的监管措施倾向于标准规范、法规限制、处罚监督等外部作用力。具体的重点关注环节在于数据的流通共享、确权和交易。With the further development of information technologies such as the mobile Internet, the Internet of Things, artificial intelligence and blockchain, the world has entered the data era. Data has be-come one of the core resources of enterprises and is an important factor of production as material resources and human resources. From the perspective of enterprise management and data itself, this paper defines the definition and constituent elements of corporate data governance by con-sulting the relevant literature at home and abroad, and analyzes and summarizes the current problems of corporate data governance. This study uses Nvivo12 plus to analyze and code 39 cor-porate data governance policy texts from 2015 to March 2022 retrieved through the website of the State Council of PRC, the website of Ministry of Industry and Information Technology and Peking University Magic Treasure Laws and Regulations Database. Based on the Rothwell policy tool model, combines the data life cycle and policy effectiveness level, we construct a 3 D analysis model to re-veal the architecture and objectives of data governance policy tools, and analyze the current corpo-rate data governance policy tendency and existing problems from the quantitative perspective, so as to put forward the targeted corporate data governance optimization strategies. The study found that the government’s regulatory measures for data governance tend to exert external forces such as standards and norms, regulatory restrictions, and punishment supervision. The specific stages that need to be focused are on data circulation and sharing, right confirmation and transaction.

关 键 词：数据治理 政策工具 注意力配置 

分 类 号：F270[经济管理—企业管理]