<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</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.

Effects of Regional Smart Transformation

Management Theory and Studies for Rural Business and Infrastructure Development

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

{"article-title":"Effects of Regional Smart Transformation"}

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,...

Effects of Regional Smart Transformation

Article Category: Article

Publicado en línea: 14 ene 2024

Páginas: 419 - 426

Recibido: 21 sept 2023

Aceptado: 14 oct 2023

DOI: https://doi.org/10.15544/mts.2023.41

Palabras clave
industry 4.0, smart strategy, region, IT industry, cluster

© 2023 Tetyana Skrypko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Effects of Regional Smart Transformation

Article Category: Article

Publicado en línea: 14 ene 2024

Páginas: 419 - 426

Recibido: 21 sept 2023

Aceptado: 14 oct 2023

DOI: https://doi.org/10.15544/mts.2023.41

Palabras claveindustry 4.0, smart strategy, region, IT industry, cluster

© 2023 Tetyana Skrypko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Palabras clave
industry 4.0, smart strategy, region, IT industry, cluster