E-Government Maturity Model to Support System Dynamics in Public Policymaking

Nasution, Feldiansyah Bin Bakri; Bazin, Nor Erne Nazira

doi:10.1109/eecsi.2018.8752921

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Analyzing the level of development of e-government in Korea, experts came to the conclusion that today we can and should talk about a new model for the development of egovernment, called the E-Government Maturity Model based on Socio-political Development, which includes the level of social maturity based on e-democracy and the level maturity of civil society [11]. Maturity of e-government is the subject of research by Indonesian scientists [12], who use big data of e-government to develop social policy of the state. Increasingly, big data is being used to solve problems at the municipal level.…”

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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“…This suggests that citizens can complete a range of tasks, particularly those involving several agencies, without having to make contact with each one separately. Additionally, having a single access point makes it easier for citizens to participate in democratic processes because they can more easily access administrative procedures and communicate their requirements to public officials (Nasution & Bazin, 2018). Parasuraman et al (2005) claimed that "cheap pricing and web presence were initially considered as the drivers of success" in the context of e-service quality.…”

Section: Introductionmentioning

confidence: 99%

Customer experience dimensions and e-government success in United Arab Emirates

Hosani

Zainol

2022

gabs

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This systematic research study examined the connection between customer experience dimensions and e- government success in Abu Dhabi in United Arab Emirates (UAE). The organized study utilized a descriptive and cross-sectional survey research design with a positivism philosophy. A sample of 382 participants out of 108,825 target population was chosen employing a table developed by Morgan & Krejcie (1970). Facts were gathered utilizing a questionnaire, simple random sampling and examined applying Descriptive Statistics and Structural Equation Modeling using the Smart Partial Least Squares (SPLS) Version 3.3.3 software to test the hypotheses. The inquiry study findings came up with a significant correlation between customer experience dimensions (comfort, security and usability) and e- government success at significant level of 0.05. It was thus concluded that the customer experience dimensions significantly affect e- government success. The logical investigation study recommended that the UAE government should augment the budget for e-government successful implementation programs.

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