首页|政府大数据治理能力影响因素及提升策略研究

政府大数据治理能力影响因素及提升策略研究

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当前政府大数据治理能力还有较大的提升空间.首先,识别了政府大数据治理能力关键影响因素,确定了主要影响因素间的相互关系,为提升政府大数据治理能力指明 了方向.其次,基于文献分析法和德尔菲法,从政府体系内部和外部两个角度提取了 10个政府大数据治理能力影响因素,采用ISM模型分析了政府大数据治理能力影响因素之间的层次关系.最后,应用MICMAC模型计算出各因素的驱动力和依赖性,并据此进行分类.研究结果表明:公众需求、政策制度、大数据治理意识和经济发展水平是最重要的驱动型因素,对其他因素的影响较大,其中公众需求为最根源的影响因素.研究结论对提升政府大数据治理能力具有理论参考价值.
Research on Influencing Factors and Promotion Strategies of Government Big Data Governance Capability
At present,the government big data governance capability still has significant room for improvement.Firstly,the key influencing factors of government big data governance capability were identified,the interrelationships between the main influencing factors were determined,providing the direction for improving government big data governance capability.Secondly,based on literature analysis and the Delphi method,10 factors affecting government big data governance capabilities were extracted from both the internal and external perspectives of the government system,and then the ISM model was used to deeply analyze the hierarchical relationship between the factors affecting government big data governance capabilities.Finally,the MICMAC model was applied to calculate the driving force and dependence of each factor,and classify them accordingly.The research results show that public demand,institutional policies,big data governance awareness and economic development level are the most important driving factors,which have a greater impact on other factors,among which public demand is the most fundamental influencing factor.The research conclusions have theoretical reference value for improving the government big data governance capability.

governmentbig data governance capabilityinfluence factorsISM modelMICMAC model

罗康明、周利平、苏红

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江西生物科技职业学院 经济贸易系,江西南昌 330200

江西农业大学 人文与公共管理学院,江西南昌 330045

华东交通大学 马克思主义学院,江西南昌 330013

政府 大数据治理能力 影响因素 ISM模型 MICMAC模型

2024

河北科技大学学报(社会科学版)
河北科技大学

河北科技大学学报(社会科学版)

CHSSCD
影响因子:0.353
ISSN:1671-1653
年,卷(期):2024.24(3)