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Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic
The COVID-19 pandemic context asserted the digitalization process in the European Union member countries five years forward (at least). The digital divide, a frequent debated issue was brought to the fore, and, under these circumstances, the proposed aim of the paper is to analyze the digitalization...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464298/ https://www.ncbi.nlm.nih.gov/pubmed/36120407 http://dx.doi.org/10.1016/j.procs.2022.08.053 |
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author | Georgescu, Mircea Radu Stoica, Eduard Alexandru Bogoslov, Ioana Andreea Lungu, Anca Elena |
author_facet | Georgescu, Mircea Radu Stoica, Eduard Alexandru Bogoslov, Ioana Andreea Lungu, Anca Elena |
author_sort | Georgescu, Mircea Radu |
collection | PubMed |
description | The COVID-19 pandemic context asserted the digitalization process in the European Union member countries five years forward (at least). The digital divide, a frequent debated issue was brought to the fore, and, under these circumstances, the proposed aim of the paper is to analyze the digitalization process, considering the data provided by Digital Economy and Society Index (DESI) and, additionally, the Stringency Index, that measure the governmental restrictions during the pandemic for 2020. From a methodological perspective, the empirical study focused on performing the Data Envelopment Analysis (DEA) non-parametric test. Measuring the digitalization efficiency or inefficiency of the European member states was conducted by using an output-oriented model, focused on output maximization for a given level of input, assuming Constant Returns to Scale (CRS). The results highlighted major discrepancies between the European countries. Solely eight countries out of 27 can be considered efficient in the digitalization processes during the COVID-19 pandemic. Based on the model, the most efficient EU countries could be considered peers/benchmarks for the inefficient ones, which should examine the best practices in order to improve their current situation. |
format | Online Article Text |
id | pubmed-9464298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94642982022-09-12 Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic Georgescu, Mircea Radu Stoica, Eduard Alexandru Bogoslov, Ioana Andreea Lungu, Anca Elena Procedia Comput Sci Article The COVID-19 pandemic context asserted the digitalization process in the European Union member countries five years forward (at least). The digital divide, a frequent debated issue was brought to the fore, and, under these circumstances, the proposed aim of the paper is to analyze the digitalization process, considering the data provided by Digital Economy and Society Index (DESI) and, additionally, the Stringency Index, that measure the governmental restrictions during the pandemic for 2020. From a methodological perspective, the empirical study focused on performing the Data Envelopment Analysis (DEA) non-parametric test. Measuring the digitalization efficiency or inefficiency of the European member states was conducted by using an output-oriented model, focused on output maximization for a given level of input, assuming Constant Returns to Scale (CRS). The results highlighted major discrepancies between the European countries. Solely eight countries out of 27 can be considered efficient in the digitalization processes during the COVID-19 pandemic. Based on the model, the most efficient EU countries could be considered peers/benchmarks for the inefficient ones, which should examine the best practices in order to improve their current situation. The Author(s). Published by Elsevier B.V. 2022 2022-09-10 /pmc/articles/PMC9464298/ /pubmed/36120407 http://dx.doi.org/10.1016/j.procs.2022.08.053 Text en © 2022 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Georgescu, Mircea Radu Stoica, Eduard Alexandru Bogoslov, Ioana Andreea Lungu, Anca Elena Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic |
title | Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic |
title_full | Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic |
title_fullStr | Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic |
title_full_unstemmed | Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic |
title_short | Managing Efficiency in Digital Transformation – EU Member States Performance during the COVID-19 Pandemic |
title_sort | managing efficiency in digital transformation – eu member states performance during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464298/ https://www.ncbi.nlm.nih.gov/pubmed/36120407 http://dx.doi.org/10.1016/j.procs.2022.08.053 |
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