| 刘彬芳.基于扎根理论的政企数据协同影响因素模型构建[J].情报工程,2025,11(1):063-071 |
| 基于扎根理论的政企数据协同影响因素模型构建 |
| Construction of a Model for Factors Influencing Government-Enterprise Data Collaboratives Based on Grounded Theory |
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| DOI： |
| 中文关键词: 政企协同；数据协同；数据共享；协同治理；影响因素 |
| 英文关键词: Collaboration between Government and Enterprises; Data Collaboratives; Data Sharing; Collaborative Governance; Influence Factors |
| 基金项目:中共中央党校（国家行政学院）校级科研基金课题“政企数据协同赋能的公共服务与智慧决策研究”（2023QN066） |
| 作者 | 单位 | | 刘彬芳 | 中央党校（国家行政学院）国家治理教研部 北京 100091 |
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| 摘要点击次数: 206 |
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| 中文摘要: |
| [目的/意义] 探究政企数据协同的影响因素及其关联关系，有助于梳理政企进行数据协同的障碍和动力，进一步挖掘多源数据公共价值，提升政企数据协同赋能现代化治理的水平。[方法/过程] 通过扎根理论的程序化三级编码方法，综合分析了国内外相关文献以及调研访谈数据，在归纳演绎和逻辑推理的基础上，根据政企数据协同的研究情境，探索发现政企数据协同的影响因素，进而构建政企数据协同影响因素的理论模型。[结果/结论] 研究得到包括3个主范畴和13 个子范畴在内的CPE 模型，并探讨不同影响因素对政企不同主体的作用，为后续政企数据协同相关研究、实践和政策制定提供重要的理论框架参考，助力构建数据驱动的多元主体现代化治理体系。 |
| 英文摘要: |
| [Objective/Significance] Exploring the influencing factors of data collaboratives, analyzing the interrelationships between them, can help clarify the obstacles and motivations for government and enterprises data collaboratives, further explore the public value of multi-source data, and enhance the level of government enterprise data collaboratives empowering modern governance. [Methods/Processes] This paper uses the programmatic three-level coding method of grounded theory to comprehensively analyze relevant domestic and foreign literature, as well as interview data. Based on induction, deduction,and logical reasoning, according to the research scenario of data collaboratives between government and enterprises, the influencing factors of government enterprise data collaboratives are discovered, and a theoretical model is constructed. [Results/Conclusions] This paper has developed a CPE model consisting of 3 main categories and 13 categories, and thoroughly explores the effects of different influencing factors on different entities of government and enterprises, which provides an important theoretical framework reference for subsequent research, practice, and policy formulation related to government enterprise data collaboratives, and helps to build a data-driven modern governance system with multiple entities. |
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