情报科学 ›› 2025, Vol. 43 ›› Issue (3): 25-30.

• 理论研究 • 上一篇    下一篇

TOE框架下政府数据开放对数据要素 市场化影响的组态效应分析

  

  • 出版日期:2025-03-05 发布日期:2025-05-27

  • Online:2025-03-05 Published:2025-05-27

摘要: 【目的/意义】从组态视角分析政府数据开放对数据要素市场化的影响机制,旨在拓展数据要素市场化的理 论框架,并为政府数据开放的实践提供参考。【方法/过程】结合TOE框架并引入fsQCA方法,以我国27个省份为研 究对象,辨别充分与必要两类因果条件,探索政府数据开放影响数据要素市场化的关键因素及路径。【结果/结论】 研究表明,政府数据开放不存在单一必要条件,影响因素的组态路径共有6种,分为全面协调的多要素协同驱动型、 高效管理的基础能力驱动型、服务优化与政策协同驱动型、技术支撑的资源优势驱动型4类。【创新/局限】本文从政 府数据开放视角出发,揭示了数据要素市场化背后的多要素协同机制及其复杂性,使用 fsQCA方法深化了相关领 域的研究。研究局限性在于主要聚焦宏观与中观层面,缺乏对微观因素的探讨,且未考虑影响因素的变化轨迹和 动态整体视角。

Abstract: 【Purpose/significance】This study analyzes the impact mechanism of government data openness on the marketization of data elements from a configurational perspective. The aim is to expand the theoretical framework of data element marketization and provide practical insights for government data openness【. Method/process】Combining the TOE framework with fsQCA, this research examines 27 provinces in China to identify both sufficient and necessary causal conditions, exploring the key factors and pathways of government data openness affecting the marketization of data elements.【Result/conclusion】The findings reveal that there is no single necessary condition for the marketization of data elements. The identified configurational paths can be categorized into four types: comprehensive coordination with multi-factor collaborative driving, basic capability driving under efficient management, service optimization and policy collaboration-driven, and resource advantage-driven with technological support.【Innovation/limitation】This study unveils the multi-factor collaborative mechanism behind the marketization of data elements from the perspective of government data openness and deepens the research using fsQCA. Limitations include the focus on macro and meso levels, with insufficient exploration of micro fac⁃ tors, and the lack of consideration of dynamic trajectories and a holistic view of influencing factors.