State information policy and the role of PR-services

Цифровая трансформация государственного и муниципального управления: технологические тренды

Marina V. Perova (Перова М.В.), Natalia D. Nikonenko (Никоненко Н.Д.) and Ekaterina K. Golovkina (Головкина Е.К.)
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Marina V. Perova (Перова М.В.): South-Russian Institute of Management of Russian Presidential Academy of National Economy and Public Administration
Natalia D. Nikonenko (Никоненко Н.Д.): South-Russian Institute of Management of Russian Presidential Academy of National Economy and Public Administration
Ekaterina K. Golovkina (Головкина Е.К.): South-Russian Institute of Management of Russian Presidential Academy of National Economy and Public Administration

State and Municipal Management Scholar Notes, 2024, vol. 4, 86-95

Abstract: The article delves into the exploration of technological advancements in the realm of digital transformation within public and municipal administrations, with a particular focus on pivotal digital technologies as part of the national programme «Digital Economy». The analysis conducted within the framework of the «Data Economy and Digital Transformation» project reveals changes in fundamental digital technologies that align with the trajectories and directives outlined by the Russian President. Furthermore, the article underscores the significance of fostering technological autonomy in this domain. Through our research, we have identified big data and data analytics as one of the most critical technologies. We highlight the critical role of high-quality data, especially in the context of managerial decision-making. The article delves into the essential attributes of high-caliber data that government officials ought to be cognizant of. We share the outcomes of a survey conducted among public servants on the subject of digital technologies in the realm of data management. The data obtained through this survey shed light on the strengths and shortcomings of these professionals when it comes to their proficiency in data management practices. Building upon these insights, we have formulated recommendations aimed at addressing areas where their skills may require enhancement, including those pertaining to digital sovereignty.

Keywords: digital transformation of public and municipal administration; big data analytics; machine learning; artificial intelligence (search for similar items in EconPapers)
Date: 2024
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