大数据分析对政府部门决策的影响
Laila Faridoon1, Wei Liu1, Crawford Spence2
1Department of Engineering, Faculty of Natural, Mathematical and Engineering Sciences (NMES), King's College London, London, United Kingdom.
Big data
|January 9, 2024
概括
大数据分析能力 (BDAC) 通过影响认知风格和组织文化来增强政府决策能力 (DMC). 这种改进的DMC最终提高了整体组织绩效.
科学领域:
- 公共管理 公共管理
- 信息系统信息系统信息系统
- 组织行为 组织行为
背景情况:
- 政府越来越多地采用大数据分析能力 (BDAC) 来改善公共服务提供.
- 了解影响政府有效利用BDAC的因素对于提高决策至关重要.
- 现有的研究还没有充分探索认知风格和组织文化在公共部门BDAC-DMC关系中的调解作用.
研究的目的:
- 检查BDAC与政府部门的决策能力 (DMC) 之间的关系.
- 调查决策者的认知风格和组织文化在BDAC-DMC链接中的调解作用.
- 评估BDAC对政府机构组织绩效 (OP) 的影响.
主要方法:
- 采用调查方法,从阿拉伯联合长国的政府机构收集数据.
- 部分最小平方结构方程建模 (PLS-SEM) 用于数据分析.
- 该研究采用了基于资源的公司理论观点作为其理论框架.
主要成果:
- 发现BDAC对DMC有积极的影响.
- 认知风格和组织文化在很大程度上调解了BDAC和DMC之间的关系.
- 增强的DMC受BDAC的影响,对整体组织绩效 (OP) 有积极的影响.
结论:
- 该研究经验验证了提出的理论框架,证实了BDAC对政府部门的DMC和OP的积极影响.
- 认知风格和组织文化是成功实施和利用BDAC在政府中的关键调解因素.
- 提供了建议,以加强决策流程,以便在公共管理中有效利用BDAC.
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