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

2019 ◽  
Vol 11 (1) ◽  
pp. 81-90 ◽  
Author(s):  
Ebenezer Agbozo ◽  
Benjamin Kwesi Asamoah
Keyword(s):  
Public Sector ◽  
Exploratory Study ◽  
Data Driven ◽  
Government Policies ◽  
Technological Innovations ◽  
Economic Implications ◽  
The Public ◽  
Sector Decision ◽  
Public Sector Decision Making ◽  
Insight Into

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.

scholarly journals Administrative law and the machines of government: judicial review of automated public-sector decision-making

Legal Studies ◽  
2019 ◽  
Vol 39 (4) ◽  
pp. 636-655 ◽  
Author(s):  
Jennifer Cobbe
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Administrative Law ◽  
Machine Learning Techniques ◽  
Clear Understanding ◽  
The Public ◽  
Starting Point ◽  
Sector Decision ◽  
Public Sector Decision Making ◽  
Automated Decision Making

AbstractThe future is likely to see an increase in the public-sector use of automated decision-making systems which employ machine learning techniques. However, there is no clear understanding of how English administrative law will apply to this kind of decision-making. This paper seeks to address the problem by bringing together administrative law, data protection law, and a technical understanding of automated decision-making systems in order to identify some of the questions to ask and factors to consider when reviewing the use of these systems. Due to the relative novelty of automated decision-making in the public sector, this kind of study has not yet been undertaken elsewhere. As a result, this paper provides a starting point for judges, lawyers, and legal academics who wish to understand how to legally assess or review automated decision-making systems and identifies areas where further research is required.

scholarly journals The Priority of Factors of Building Government as a Platform with Analytic Hierarchy Process Analysis

2020 ◽  
Vol 12 (14) ◽  
pp. 5615 ◽  
Author(s):  
Hyungjun Seo ◽  
Seunghwan Myeong
Keyword(s):  
Public Sector ◽  
Analytic Hierarchy Process ◽  
Process Analysis ◽  
Electronic Government ◽  
Data Driven ◽  
Analytic Hierarchy ◽  
The Public ◽  
Study Results ◽  
The Government ◽  
Hierarchy Process

Nowadays, the Government as a Platform (GaaP) based on cloud computing and network, has come to be considered a new structure to manage efficiently data-driven administration in the public sector. When the GaaP concept was first introduced, the ICT infrastructures that could underpin GaaP were not sufficiently developed. However, the recent digital transformation has transformed the previous electronic government, which was system- and architecture-oriented. As part of the next generation of government models, GaaP may reinvent the government at a lower cost but with better performance, similar to the case of electronic government two decades ago. This study attempted to determine the priority of factors of GaaP by using the analytic hierarchy process (AHP) methodology. Because of the GaaP characteristics, we drew the main components for building GaaP from previous studies and a group interview with experts. The study results show that experts tend to prefer publicness in terms of building GaaP. Most of the factors that the experts weighed with the highest importance are related to the public sector, which revealed that governments should focus on their primary duty, regardless of the origin and characteristics of the platform in GaaP. However, since GaaP allows governments to be more horizontal and innovative, the platform approach can fundamentally shift the existing processes and culture of the public sector. The enhanced activity of citizens with ICT can also accelerate the introduction of GaaP. Finally, the study showed that a data-driven GaaP is necessary to efficiently handle big data, contract services, and multiple levels of on-line and off-line channels. In this public platform, government, citizens, and private sector organizations can work cooperatively as partners to seamlessly govern the hyper-connected society.

scholarly journals Accounting for natural capital has cross-cutting relevance for UK public sector decision-making

2020 ◽  
Vol 44 ◽  
pp. 101127 ◽  
Author(s):  
Mikaël J.A. Maes ◽  
Kate E. Jones ◽  
Mireille B. Toledano ◽  
Ben Milligan
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Natural Capital ◽  
Sector Decision ◽  
Public Sector Decision Making
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