Modelling Conceptual Basis of Regional Telecommunications Development by System Analysis Methods

Чаговець, Любов Олексіївна; Prokopovych, Svitlana; Voznyk, S.; Chahovets, V.

doi:10.33042/2522-1809-2021-1-161-230-240

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…The authors of the study [25; 26] believe that indicators of social development are often considered as an alternative to indicators of economic development. The global e-government development index [26] is an integral indicator that assesses the readiness and capabilities of national government structures in using information and communication technologies (ICT) to provide public services to citizens. The index of network readiness [26] characterizes the level of development of information and communication technologies and the network economy in the countries of the world.…”

Section: Application Of Methodology For Countries Digital Development...mentioning

confidence: 99%

“…The global e-government development index [26] is an integral indicator that assesses the readiness and capabilities of national government structures in using information and communication technologies (ICT) to provide public services to citizens. The index of network readiness [26] characterizes the level of development of information and communication technologies and the network economy in the countries of the world. Currently, the index is considered one of the most important indicators of the innovative and technological potential of the countries of the world and their development opportunities in the field of high technology and digital economy.…”

Section: Application Of Methodology For Countries Digital Development...mentioning

confidence: 99%

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Methodology of the countries’ economic development data analysis

Donets,

Strilets,

Ugryumov

et al. 2023

SRIT

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The paper examines the issue of improving the methods of identification of economic objects and their analysis using algorithms of intelligent data processing. The use of the developed methodology in the economic analysis allows for improvement in the quality of management. It can be the basis for creating decision support systems to prevent potentially dangerous changes in the economic status of the research object. In this work, an improved method of c-means data clustering with agent-oriented modification is proposed, and a radial-basis neural network and its extension are proposed to determine whether the obtained clusters are relevant and to analyze the informativeness of state variables and obtain a subset of informative variables. The effect of applying data compression using an autoencoder on the accuracy of the methods is also considered. According to the results of testing of the developed methodology, it was proved that the probability of incorrect determination of the state was reduced when identifying the states of economic systems, and a reduced value of the error of the third kind was obtained when classifying the states of objects.

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Section: Application Of Methodology For Countries Digital Development...mentioning

confidence: 99%

Section: Application Of Methodology For Countries Digital Development...mentioning

confidence: 99%

Methodology of the countries’ economic development data analysis

Donets,

Strilets,

Ugryumov

et al. 2023

SRIT

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Section: аналіз останніх досліджень і публікаційunclassified

“…Питання розвитку напрямів цифровізації як в Україні, так і в інших державах світу неодноразово піднімалися у дослідженнях науковців [3][4][5][6][7][8][9][10][11]. Аналіз даних останніх публікацій, проведений у попередніх статтях авторів [8,11], виявив різні підходи до дослідження питань розвитку цифровізації країни та побудови її ІКТ-рейтингу (The Information and Communication Technology Development Ranking). Так було встановлено, що деякі раніше запропоновані моделі оцінки рівня цифровізації країни базуються на традиційних індикаторах економічного добробуту на основі внутрішнього валового продукту і не враховують інші важливі соціальні чинники, що спонукало до створення низки спеціальних узагальнюючих індикаторів цифрового розвитку, серед яких найбільш повним став вважатися інтегральний індекс розвитку інформаційно-комунікаційних технологій (The ICT Development Index), що об'єднує в собі одинадцять підіндексів.…”

Section: аналіз останніх досліджень і публікаційunclassified

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Digitalisation as a Factor of Socioeconomic Development and Economic Security of the State

Chahovets,

Chahovets

2023

MEC

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The modern Ukrainian economy is in a dire situation. It cannot function normally when active hostilities are taking place in the country. Therefore, the problem of determining the factors of the socioeconomic development of the state and its economic security now comes to the fore. Among them, the digitalisation of the country plays an important role. Considering the relevance of the recovery of the Ukrainian economy, which suffered a decline due to the war, it is considered appropriate to carry out a comprehensive analysis of the digitisation state of the country by modern methods. The paper is devoted to the problem of interdependence estimation of the digitisation and socioeconomic development indices of the country. The article aims to improve the complex of mathematical models for assessment and analysis of the digitisation state of the country, which will be supplemented with a model of interdependence indicators of digitisation and socioeconomic development of the state. Implementing the model will allow for determining digitalisation development directions, estimating the socioeconomic development level of the state, as well as ensuring its economic security. In the process of research, the following tasks were set to be solved: to select and form a base of indicators necessary for modelling; to develop a model; to investigate the canonical correlation between socioeconomic and digital development indicators by the canonical analysis methods; to investigate the dispersion of canonical variables observations and to find out the most significant areas of digitalisation improvement. As a result of the study, the highest correlation was evaluated between the network readiness index and the socioeconomic progress index (coefficient 0.98). The socioeconomic progress index is also related to the e-government development index (0.92) and the information and communication technology development index (0.90). Thus, the analysis performed in the paper of the correlation between the sets of digitalisation and the socioeconomic development indexes allows us to conclude the presence of a high level of their significant influence and the importance of forming a system of measures to ensure the proper level of the digital development of the country in these directions. Keywords: modelling, methods, canonical analysis, digitalisation, socioeconomic development, economic security of the state.

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Identification and Forecasting Models of Countries Digitalization Status in World Space

Чаговець

Chahovets²

2023

MEC

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The article is devoted to development issues of identification and forecasting models of countries digitalization status in world space. The problems and prospects of countries digitization are becoming relevant at the current stage of the technological sphere development of mankind was proved. Digitization is becoming the most important factor in the economic growth of any country and is generally a modern trend in its development. Untimely elimination of digitalization problems can cause negative consequences in the scale of the entire country's economy. Therefore, the prospects of the digital development of countries and the corresponding models of identification and forecasting of their digitalization status require special research. It will reveal the factors of digital growth. In addition, the work shows that the justification based on the system approach and assessment of the sustainable digital development of countries using modern methods of system analysis and multidimensional analysis Data Science, as one of the most effective in performing mathematical modeling of the researched processes status, has not received sufficient development in scientific works and needs further development. Therefore, the purpose of the article is to improve the complex of mathematical models for estimation and analyzing countries digitalization status in world, which, unlike others, will be built on the basis of intellectual analysis methods of multidimensional objects. Based on the set purpose, the distribution of the world countries by clusters on the basis of spatial and dynamic data sampling is carried out and analyzed in the article. Using the methods of multidimensional analysis and Data Science, the positioning of Ukraine in relation to the countries of the world was found. It has been established that Ukraine belongs to the countries with an average status of digitization and at the same time below average rates of socio-economic development. In order to predict the status of countries digitization, experiments were conducted on the construction of various types of classification tree models and the best model was obtained. A detailed analysis of the links between the set of digitalization and countries socio-economic development indices allowed us to come to a conclusion about the high level of their mutual influence and the importance of forming a system of measures in these directions to ensure the proper level of country digital development. Keywords: model, classification trees, forecasting, digitalization, indicators of digitalization, telecommunication development.

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Modelling Conceptual Basis of Regional Telecommunications Development by System Analysis Methods

Cited by 3 publications

References 16 publications

Methodology of the countries’ economic development data analysis

Methodology of the countries’ economic development data analysis

Digitalisation as a Factor of Socioeconomic Development and Economic Security of the State

Identification and Forecasting Models of Countries Digitalization Status in World Space

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