研究论文

政企数据协同的关键影响因素及其作用机制

  • 刘彬芳
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  • 中央党校(国家行政学院)国家治理教研部 北京 100091
刘彬芳,讲师,博士,E-mail:binfang_ruc@qq.com。

收稿日期: 2025-01-10

  修回日期: 2025-05-07

  网络出版日期: 2026-03-04

基金资助

本文系中央党校(国家行政学院)科研项目“面向数字主权博弈的数据治理效能提升路径研究”(项目编号:2025QN046)研究成果之一。

Key Factors and Mechanisms of Government-Enterprise Data Collaboration

  • Liu Binfang
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  • Party School of the Central Committee of C. P. C, Beijing 100091
Liu Binfang, Lecturer, PhD, E-mail: binfang_ruc@qq.com.

Received date: 2025-01-10

  Revised date: 2025-05-07

  Online published: 2026-03-04

Supported by

This work is supported by the research project of Party School of the Central Committee of C.P.C, titled “Research on Enhancing Data Governance Effectiveness in the Context of Digital Sovereignty Games” (Grant No.2025QN046).

摘要

[目的/意义] 企业数据的公共价值有待深入挖掘,政企数据协同是推动政府和企业数据共享应用的新型政企合作机制,相关影响因素及其机制的研究可助推企业和政府数据开发利用,实现数据驱动的智慧型治理。[方法/过程] 理论研究表明,协同基础、协同过程和协同环境是构建政企数据协同影响因素模型的三个维度,进而提出相关假设,基于PLS-SEM方法对问卷调查取得的数据进行探索性的实证研究分析。[结果/结论] 政企数据协同的影响因素及作用机制表现为“基础—过程—环境”模型,并且目标一致性、业务需求、数据基础、领导支持、信任、反馈、组织机制、政策支持、信息技术等因素对公私不同主体进行数据协同的影响存在较为显著的差异,应进一步拓建社会数据开放共享体系,完善政产学研用数据协同创新机制,加强隐私和数据安全保障建设。

本文引用格式

刘彬芳 . 政企数据协同的关键影响因素及其作用机制[J]. 图书情报工作, 2026 , 70(5) : 69 -79 . DOI: 10.13266/j.issn.0252-3116.2026.05.006

Abstract

[Purpose/Significance] The public value of enterprise data needs to be further explored. Government-enterprise data collaboration is a new type of government enterprise cooperation mechanism to promote the sharing of government and enterprise data. Research on relevant influencing factors and mechanisms can promote the development and utilization of enterprise and government data, and achieve data-driven intelligent governance. [Method/Process] This article constructed a theoretical model of the influencing factors of government-enterprise data collaborations from three dimensions: collaborative foundation, collaborative process, and collaborative environment through theoretical research, and proposed relevant hypotheses. Based on the PLS-SEM method, exploratory empirical research analysis was conducted on the empirical data from the questionnaire survey. [Result/Conclusion] The influencing factors and mechanisms of government-enterprise data collaborations are manifested in the “foundation-process-environment” model. Factors such as goal consistency, business needs, data foundation, leadership support, trust, feedback, organizational mechanism, policy support, and information technology show significant differences in the data collaborations between public and private entities. Therefore, it is necessary to further expand the social data open sharing system, improve the innovation mechanism of government industry university research application data collaborations, and strengthen the construction of privacy and data security protection.

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