Effects of Regional Smart Transformation

Skrypko Tetyana (), Danylyshyn Bohdan (), Khromyak Yosyf (), Bilyk Rostyslav (), Popadynets Nazariy (), Zapukhlyak Vitaliy () and Sala Dariusz ()
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Skrypko Tetyana: Prof. Ivan Franko National University of Lviv, Universytetska 1, Lviv, Ukraine
Danylyshyn Bohdan: Prof. Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine, 54/1 Prospect Peremogy, Kyiv, Ukraine
Khromyak Yosyf: Assoc. Prof., Lviv Polytechnic National University, 18 Horbachevskoho, Str., Lviv, Ukraine
Bilyk Rostyslav: Assoc. Prof., Yuriy Fedkovych Chernivtsi National University, 2, Kafedralna, Str., Ukraine
Popadynets Nazariy: Senior researcher, Lviv Polytechnic National University, 18 Horbachevskoho, Str., Lviv, Ukraine
Zapukhlyak Vitaliy: Candidate of Economic Sciences, West Ukrainian National University, Lvivska 11, Ternopil, Ukraine
Sala Dariusz: Assoc. Prof., AGH University of Science and Technology in Krakow, Gramatyka 10, Str., D-14 Krakow, Poland

Management Theory and Studies for Rural Business and Infrastructure Development, 2023, vol. 45, issue 4, 419-426

Abstract: The global changes of 2019 - 2020 have impacted every region of the world. Businesses of successful powerful old companies have fallen into the crisis pit, while the startups have entered the category of “gazelles”. There are trends of reshoring (returning) the material-intensive production to European countries, and on the other hand, abandoning the linear economic model. The non-linear model of economic development is particularly evident in the decentralization of decision-making. The concept of components has changed in the value chain as the knowledge-based economy era has started (knowledge economy). The aim of this paper is to analyze the value chain by exploring the role of its primary (market, product/service development, production) and secondary (technologies, human resources, resource management) elements in some innovative start-ups. The article uses the methods of economic and statistical analysis, including the assessment of economic effect in terms of determining the impact of smart technologies on different economic sectors of the region; regression analysis for econometric assessment of independent variables and functions, which brings us closer to the solution of the problem of the economic effect of ecosystem transformation in the region; correlation analysis for determining the correlation between the economic efficiency of the IT industry and the GRP. Based on the analysis of secondary and primary elements of innovative startups, the paper proves that the value chain in the modern economy is subject to qualitative changes, while digitalization processes promote the efficient development of regional smart specialization.

Keywords: industry 4.0; smart strategy; region; IT industry; cluster (search for similar items in EconPapers)
JEL-codes: D20 O10 O33 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:mtrbid:v:45:y:2023:i:4:p:419-426:n:2

DOI: 10.15544/mts.2023.41

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