Establishing Efficient Governance through Data-Driven e-Government

Agbozo, Ebenezer; Spassov, Kamen

doi:10.1145/3209415.3209419

Cited by 15 publications

(6 citation statements)

References 5 publications

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“…Big data is a potential tool for transforming traditional governance into smart governance. The use of big data for intelligent management in the public sector can increase the efficiency of public institutions, speed up the provision of public services, increase transparency, and reduce the number of problems in society [2,3]. At the same time, one should consider the fact that all traditional systems of public administration, including e-government, are based on structured data.…”

Section: Problem Statementmentioning

confidence: 99%

Big Data in Public Administration

Kokh¹,

Kovaleva²,

Ivanova³

2021

Proceedings of International Scientific and Practical Conference “Russia 2020 - A New Reality: Economy and Society” (ISPCR 2020

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Digital transformation affects all spheres of the modern economy. It also influenced the public administration system, where big data gained special importance. Modern technologies make it possible to collect huge amounts of information from various sources, both official and private. By processing and using big data at all levels of public administration, one can maximize the efficiency of public service delivery to society. In this article, the authors analyze the world experience and results of using big data in the system of state administration. The authors examine the successes in the use of big data in the public administration system in countries such as the PRC, USA, Great Britain, Korea, and in the EU. Particular attention is paid to Russia. The past three years have seen a significant leap forward in the use of big data at the federal and regional levels of government. In Russia, several Government decrees have been adopted aimed at maximizing the use of big data in the activities of state bodies, which will improve the quality of territorial management. The article provides examples of the use of big data in the activities of regional government bodies. The option of using big data in controlling the COVID-19 situation is being considered. The authors note the need for cooperation of big data obtained from government agencies, for example Federal State Statistic Service, with big data received from private structures, for example, from Sberbank.

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Section: Problem Statementmentioning

confidence: 99%

Big Data in Public Administration

Kokh¹,

Kovaleva²,

Ivanova³

2021

Proceedings of International Scientific and Practical Conference “Russia 2020 - A New Reality: Economy and Society” (ISPCR 2020

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“…Studies have further extended the concept to build a data-driven e-government model which is a collection of digital public services which channels previously stored data back to citizens as solutions, decisions and reforms for accelerated national growth [14]. They further described this model as a paradigm shift that has the potential of steering any country that embraces the concept into digital maturity coupled with socio-economic development which is also capable of aiding in attaining the United Nations' Sustainable Development Goals (SDGs) [15].…”

Section: The Data-driven Public Sectormentioning

confidence: 99%

Towards a Multi-Channel Service Delivery model in the data-driven public sector

Agbozo¹,

Медведев²

2020

Bus. Inform.

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The goal of e-government is to provide public services to end users-be it citizens or residents-of a given nation. Research has shown that there is the susceptibility of governments to check all the boxes so as to present an image of having e-government implementations, yet end users eventually do not benefit from these electronic services. Quality public service delivery is an issue of priority today and, with the increasing availability of modern technological tools and techniques, it is attainable. Datadriven e-government is a necessary ingredient in the modern day public sector due to the widespread availability and rapid production of data (i.e. big data) and it aims at value creation. This study proposes a novel research concept, using the Multi-Channel Service Delivery model as a catalyst to attain the data-driven ecosystem in the public sector. The model was developed based on recommendations from works of previous research to address the changing landscape of the public sector. By integrating the Multi-Channel Service Delivery model into e-government and public sector decision making, governments will be able to bridge the divide and offer services to end users with access to e-services, as well as those who do not. In doing so, the United Nations' Sustainable Development Goals (SDGs) which are aimed at leaving none behind will be arrived at.

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“…The author cites the example of Australia, where the increasingly sophisticated and 'data-driven' public sector impacts the design and implementation of public policy. Agbozo and Spassov (2018) define data-driven e-government as "a collection of digital public services which channel previously stored data back to citizens as solutions, decisions and reforms for accelerated national growth". Thus, it is a governance model which leverages data to drive the decision-making process.…”

Section: Data-driven E-governmentmentioning

confidence: 99%

“…The researchers concluded that Data-Driven e-Government (DDeG) is the next phase of public service modernization which aims at a citizen-centric governance model,characterized by data for decision and policy-making, to ensure the welfare and satisfaction of citizens and users. Prospects of DDeG include, estimating and predicting economic impacts of changes to tax policy; building smart cities by optimizing transportation; preventing and reducing all forms of public service corruption, evaluating potential threats (Agbozo and Spassov, 2018), etc. A datadriven public sector or administration, according to Janssen et al (2017), has the capacity to drastically transform public sector systems and create societal benefits.…”

Section: Data-driven E-governmentmentioning

confidence: 99%

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

Agbozo

Asamoah

2019

JeDEM

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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.

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Establishing Efficient Governance through Data-Driven e-Government

Cited by 15 publications

References 5 publications

Big Data in Public Administration

Big Data in Public Administration

Towards a Multi-Channel Service Delivery model in the data-driven public sector

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

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