Data-driven E-Government: Exploring the Socio-Economic Ramifications

JeDEM - eJournal of eDemocracy & Open Government

Ebenezer Agbozo¹  Benjamin Kwesi Asamoah¹ 

[1] Ural Federal University;

关键词: Data-Driven e-Government;    Data-Driven Decision Making;    Big Data;    Data Analytics;    Value Creation;    Public Sector;   

DOI  :  10.29379/jedem.v11i1.510

来源: DOAJ

【 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.

【 授权许可】

Unknown