A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model

Objective: The aim of the paper is to assess the size and rate of diffusion of mobile technologies in the processing industry, and to determine the nature and strength of the impact of investment specialisation (investment attractiveness) and industry export specialisation on this phenomenon in the...

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Main Author: Marcin Salamaga
Format: Article
Language:English
Published: Krakow University of Economics 2024-12-01
Series:Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
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Online Access:https://krem.uek.krakow.pl/index.php/krem/article/view/18618
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author Marcin Salamaga
author_facet Marcin Salamaga
author_sort Marcin Salamaga
collection DOAJ
description Objective: The aim of the paper is to assess the size and rate of diffusion of mobile technologies in the processing industry, and to determine the nature and strength of the impact of investment specialisation (investment attractiveness) and industry export specialisation on this phenomenon in the four Visegrad Group countries. Research Design & Methods: The occurrence of innovation diffusion and its dynamics were examined using an econometric model of the Gompertz function. To study the impact of specialisation according to foreign direct investments (FDI) located in V4 countries and their export specialisation on the process of innovation diffusion, an error correction model (ECM) estimated for selected industrial processing sectors was used. It was based on data for 2010–2021 from Eurostat, UNCTAD and the national statistical offices of individual V4 countries. Findings: The phase of rapid increase in innovation diffusion calculated on the basis of the Gompertz function was significantly longer in high- and medium-high technology enterprises than in low- and medium-low technology enterprises. In the short term, the determinants of mobile technology diffusion in all V4 countries in industries with low and medium-low technology are both export specialisation and investment attractiveness. Implications / Recommendations: The results lead to the conclusion that the diffusion of mobile technologies takes place in various industries in the V4, but its pace varies depending on the individual industry’s technological development. The results indicate the need to develop industries with high technologies and sectors with high intensity of knowledge. Contribution: A comparative analysis of the pace of diffusion of mobile technology innovations in the V4 was performed for the first time in this article. The combination of the Gompertz model with the ECM model can also be considered a pioneering solution in the analysis of innovation diffusion.
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spelling doaj-art-c900ae24dda948a092a7db0bf7f8ddd22025-08-20T01:59:56ZengKrakow University of EconomicsZeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie1898-64472545-32382024-12-014(1006)10.15678/krem.18618A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM ModelMarcin Salamaga0https://orcid.org/0000-0003-0225-6651Krakow University of Economics, Institute of Quantitative Methods in Social Sciences, Department of Statistics Objective: The aim of the paper is to assess the size and rate of diffusion of mobile technologies in the processing industry, and to determine the nature and strength of the impact of investment specialisation (investment attractiveness) and industry export specialisation on this phenomenon in the four Visegrad Group countries. Research Design & Methods: The occurrence of innovation diffusion and its dynamics were examined using an econometric model of the Gompertz function. To study the impact of specialisation according to foreign direct investments (FDI) located in V4 countries and their export specialisation on the process of innovation diffusion, an error correction model (ECM) estimated for selected industrial processing sectors was used. It was based on data for 2010–2021 from Eurostat, UNCTAD and the national statistical offices of individual V4 countries. Findings: The phase of rapid increase in innovation diffusion calculated on the basis of the Gompertz function was significantly longer in high- and medium-high technology enterprises than in low- and medium-low technology enterprises. In the short term, the determinants of mobile technology diffusion in all V4 countries in industries with low and medium-low technology are both export specialisation and investment attractiveness. Implications / Recommendations: The results lead to the conclusion that the diffusion of mobile technologies takes place in various industries in the V4, but its pace varies depending on the individual industry’s technological development. The results indicate the need to develop industries with high technologies and sectors with high intensity of knowledge. Contribution: A comparative analysis of the pace of diffusion of mobile technology innovations in the V4 was performed for the first time in this article. The combination of the Gompertz model with the ECM model can also be considered a pioneering solution in the analysis of innovation diffusion. https://krem.uek.krakow.pl/index.php/krem/article/view/18618diffusion of innovationV4 countriesECMGompertz function
spellingShingle Marcin Salamaga
A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
diffusion of innovation
V4 countries
ECM
Gompertz function
title A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model
title_full A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model
title_fullStr A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model
title_full_unstemmed A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model
title_short A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model
title_sort comparative analysis of the diffusion of mobile technologies in the visegrad four using an ecm model
topic diffusion of innovation
V4 countries
ECM
Gompertz function
url https://krem.uek.krakow.pl/index.php/krem/article/view/18618
work_keys_str_mv AT marcinsalamaga acomparativeanalysisofthediffusionofmobiletechnologiesinthevisegradfourusinganecmmodel
AT marcinsalamaga comparativeanalysisofthediffusionofmobiletechnologiesinthevisegradfourusinganecmmodel