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  • 标题:Data-driven E-Government: Exploring the Socio-Economic Ramifications
  • 本地全文:下载
  • 作者:Ebenezer Agbozo ; Benjamin Kwesi Asamoah
  • 期刊名称:eJournal of eDemocracy & Open Government
  • 电子版ISSN:2075-9517
  • 出版年度:2019
  • 卷号:11
  • 期号:1
  • 页码:81-90
  • DOI:10.29379/jedem.v11i1.510
  • 出版社:Danube-University Krems
  • 摘要:The evident benefits of big data, artificial intelligence and machine learning in society have begun to influence the transition towards a data-driven public sector. Decision-making in the public sector is in an infancy phase of a revolution owing to the inclusion of these new technological innovations. Research has revealed that data-driven e-government policies improve socio-economic development in some nations. Despite the immense opportunities data-driven e-government models have for governments, similar to every system, there are ramifications. This study explores the concept of data-driven e-government as well as investigates the socio-economic implications such an e-government model can have on society. Findings of this exploratory study add insight into a field which is in its early days and still unfocused, as well as making recommendations for policymakers.
  • 关键词:Data-Driven e-Government; Data-Driven Decision Making; Big Data; Data Analytics; Value Creation; Public Sector
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