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利用数据平台管理来实施"5W"分析框架,防止和控制基层政府的腐败
Zeyu Wang1, Xin Guan2, Yanzhao Zeng3
1School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
这项研究将数据平台管理与SWOT,PDCA和5W框架整合起来,以打击基层腐败. 综合方法显著提高了公众参与和治理效率,提高了透明度.
科学领域:
- 公共管理和治理公共管理和治理
- 信息技术和大数据分析
- 腐败研究 腐败研究
背景情况:
- 信息不对称仍然是基层政府腐败的一个关键挑战.
- 现有的反腐败工作往往忽视了数据平台和分析框架的潜力.
- 需要创新的方法来提高预防和控制腐败的有效性.
研究的目的:
- 引入和评估与5W (谁,什么,什么时候,在哪里,为什么) 分析框架集成的数据平台管理,以进行基层腐败控制.
- 评估SWOT,PDCA和5W分析框架对预防腐败的协同影响.
- 通过数据驱动的战略,提高基层政府治理的有效性.
主要方法:
- 实施数据平台管理与SWOT,PDCA和5W分析框架相结合.
- 综合模型在不同时间段的反复评估.
- 使用诸如公众参与和政府满意度等指标进行影响评估.
主要成果:
- 5W模式使公众参与得分提高了10.76%,治理效率提高了23.24%.
- SWOT分析在制定有针对性的战略和提高腐败报告率方面被证明是有效的.
- 应用SWOT,PDCA和5W模型的协同效应,对预防腐败产生了显著的积极影响.
结论:
- 数据平台管理,当与多模型分析 (SWOT,PDCA,5W) 相结合时,有效地提高了基层政府的腐败预防.
- 这种综合方法提供了一个可扩展的解决方案,以提高地方治理的透明度和效率.
- 这项研究为制定公共管理中的数据驱动策略提供了有价值的见解.
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