| 徐志平,胡杨花,曹蓉.地级市政府首席数据官政策扩散的影响因素和驱动路径[J].数字图书馆论坛,2025,21(6):1~9 |
| 地级市政府首席数据官政策扩散的影响因素和驱动路径 |
| Influencing Factors and Driving Paths of Policy Diffusion of Chief Data Officer in Prefecture Level Municipal Governments |
| 投稿时间：2025-05-12 |
| DOI：10.3772/j.issn.1673-2286.2025.06.001 |
| 中文关键词: 政府首席数据官；政策扩散；技术-组织-环境理论；定性比较分析 |
| 英文关键词: Government Chief Data Officer; Policy Diffusion; TOE Theory; Qualitative Comparative Analysis |
| 基金项目:本研究得到国家社会科学基金教育学一般项目“地方高校二级学院治理体制改革的理论逻辑与实践路径”（编号：BIA210155）、陕西省社会学科基金项目“区域协调发展战略下陕西本科高校教师供求平衡的机制、现状与路径研究”（编号：2021P017）、陕西省教育厅2021年度一般专项科研计划项目“陕西省本科高校博士师资供求结构优化研究”（编号：21JK0377）资助。 |
| 作者 | 单位 | | 徐志平 | 西北大学公共管理学院 | | 胡杨花 | 西北大学公共管理学院 | | 曹蓉 | 西北大学公共管理学院 |
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| 中文摘要: |
| 首席数据官政策是数字政府转型的关键政策创新，其扩散对推进国家治理现代化具有重要战略意义。聚焦政府首席数据官政策在治理对象数据性、角色复合性、制度嵌入性和长效累积性方面的特征，整合政策扩散理论与技术-组织-环境理论，运用模糊集定性比较分析法，对25个地级市案例进行组态分析，系统揭示地级市政府首席数据官政策扩散的影响因素和驱动路径。研究发现：政府首席数据官政策扩散受数字基础设施、政府数字素养、高层领导支持、财政资源保障、上级政策压力、邻近地区竞争与公众数据需求七要素协同驱动，其中邻近地区竞争构成核心充分条件。基于组态路径差异，识别出3种政策扩散模式：压力驱动型、内生能力驱动型与能力需求适配型。压力驱动型扩散体现为上级政策压力的强制和邻近竞争下的模仿；内生能力驱动型扩散体现为数字基建、组织资源、环境适配的技术组织协同；能力需求适配型扩散通过政策供给满足公众需求，实现供需动态匹配。据此提出，应强化技术赋能与组织适配以夯实制度运行基础，借助府际协同激发创新网络活力，依托动态监测实现精准施策等措施推动政府首席数据官政策扩散。 |
| 英文摘要: |
| As the key policy innovation of digital government transformation, the policy diffusion of chief data officer is of strategic significance to promote the modernization of national governance. This study focuses on the characteristics of government chief data officer policy in terms of data attributes of the governance objects, role complexity, institutional embeddedness, and long-term accumulation, integrates the policy diffusion theory and the technologyorganization-environment theory, and uses the fuzzy set qualitative comparative analysis to conduct configuration analysis of 25 prefecture level city cases. On this basis, we systematically reveal the influencing factors and driving paths of policy diffusion of government’s chief data officer. The research finds that the policy diffusion of the government’s chief data officer is driven by seven factors: digital infrastructure, government digital literacy, high-level support,financial resources guarantee, higher policy pressure, competition in neighboring regions, and public data demand, among which the competition in neighboring regions constitutes the core sufficient condition. Based on the differences in configuration paths, three diffusion models are identified: pressure driven model, endogenous capacity driven model, and capacity-demand adaptative model. The pressure driven diffusion is reflected in the pressure of superior policies and the forced imitation of neighboring competition. The endogenous capacity driven diffusion reflects the technical organization coordination of digital infrastructure,organizational resources, and environment adaptation. The capacity-demand adaptative diffusion meets public demand through policy supply, achieving dynamic matching of supply and demand. This study proposes to consolidate the foundation of institutianal operation through technology empowerment and organization adaptation, stimulate innovation network vitality with the help of intergovernmental collaboration, and promote the policy diffusion of the government’s chief data officer by dynamic monitoring to achieve accurate policy implementation. |
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