The Nodality Disconnect of Data-Driven Government

被引：8
作者：
Castelnovo, Walter [1 ]
Sorrentino, Maddalena [2 ]
机构：
[1] Univ Insubria, Informat Syst, Como, Italy
[2] Univ Milan, Dept Econ Management & Quantitat Methods, Milan, Italy
来源：
ADMINISTRATION & SOCIETY | 2021年 / 53卷 / 09期
关键词：
big data; government nodality; cybernetic governance; evidence-based policymaking; citizens’ segmentation; BIG-DATA; ARTIFICIAL-INTELLIGENCE; PUBLIC-POLICY; MANAGEMENT; TECHNOLOGY; CHALLENGES; FUTURE;
D O I：
10.1177/0095399721998689
中图分类号：
C93 [管理学]; D035 [国家行政管理]; D523 [行政管理]; D63 [国家行政管理];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ; 1204 ; 120401 ;
摘要：
We must ask critical questions regarding what actors are gaining influence, and regarding why the centrality of government is to be preserved in a data-intensive society. The article recognizes that the transformative capacity of big data-and its artificial intelligence (AI)-based companion data analytics-does not deterministically result from the technologies concerned. Instead, the direction of change depends on both the technical features and the intertwining of big data applications and governmental machinery. In short, the reconfiguration of the government nodality remains an open question. Overall, government is urged to think strategically about its future role within digital ecosystems.
引用
收藏
页码：1418 / 1442
页数：25
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