Year: 2025
Type: article
Abstract: In the public administration sector, digitalisation is manifested in introducingelectronic services for citizens and businesses to simplify interaction with governmentagencies and improve the accessibility of public services. To measure the effectiveness ofdigital public administration services, the E-Participation Index, Online Service Index, andTelecommunication Infrastructure Index were used for 143 countries in 2003-2022.Indicators of the population’s quality of life were chosen based on its material well-being,the population’s health level, the country’s political stability and security, labour safety, thelevel of education and qualifications, involvement in public life, democratic rights andfreedoms. To level the uneven data distribution, the sample countries were clustered by theindicators of civil services using the Kohonen self-organising map method. As a result, threeclusters of countries with high, medium and low levels of digital services were formed. Then,the canonical analysis showed that the effectiveness of digital public administration serviceshas the most significant impact on citizens’ well-being, life expectancy, and digital inclusion.As a result, neural network predictive models were built to forecast the three most relevantcharacteristics of the population’s life quality for each cluster of countries dependent on eachindicator of the effectiveness of digital public administration services. The obtained resultscan be used in developing digital transformation strategies for the public administration ofcountries with different types of economic development.
Authors: Hanna YAROVENKO, Serhiy LYEONOV, Yuriy BILAN
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4416829902