变革型领导
大数据
公共部门
政府(语言学)
领域(数学)
主题(文档)
过程(计算)
公共政策
公共关系
价值(数学)
数据科学
分析
政治学
知识管理
社会学
计算机科学
机器学习
哲学
操作系统
图书馆学
法学
纯数学
语言学
数学
作者
Irina Pencheva,Marc Estève,Slava Mikhaylov
标识
DOI:10.1177/0952076718780537
摘要
Big Data and artificial intelligence will have a profound transformational impact on governments around the world. Thus, it is important for scholars to provide a useful analysis on the topic to public managers and policymakers. This study offers an in-depth review of the Policy and Administration literature on the role of Big Data and advanced analytics in the public sector. It provides an overview of the key themes in the research field, namely the application and benefits of Big Data throughout the policy process, and challenges to its adoption and the resulting implications for the public sector. It is argued that research on the subject is still nascent and more should be done to ensure that the theory adds real value to practitioners. A critical assessment of the strengths and limitations of the existing literature is developed, and a future research agenda to address these gaps and enrich our understanding of the topic is proposed.
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