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The impact of digital transformation on the country's social progress

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F22%3APU146377" target="_blank" >RIV/00216305:26510/22:PU146377 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://trends.fbm.vutbr.cz/index.php/trends/article/view/650" target="_blank" >https://trends.fbm.vutbr.cz/index.php/trends/article/view/650</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/trends.2022.40.9" target="_blank" >10.13164/trends.2022.40.9</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The impact of digital transformation on the country's social progress

  • Popis výsledku v původním jazyce

    The purpose of this paper is to investigate whether there is a relationship between the level of digitalisation and social stability (satisfaction) in EU countries, through two main indices. There are many predominantly benefits associated with digitalization, which can be at the macro, micro, and personal level of the individual. For example, economic growth, increasing productivity, well-being for people or better transparency. The DESI and WHI index data, as well as GDP per capita, were analysed using statistical methods, specifically Pearson's correlation coefficient and regression analysis. The aim is to identify the relationship between the DESI and WHI and then determine the relationship between these indices and GDP per capita. According to the basic statistic results the highest value of DESI and WHI indicator was obtained by Finland. Luxembourg had the highest reported GDP per capita. The lowest results were achieved in Romania (DESI) and Bulgaria (WHI and GDPC). A strong positive relationship was found across all relationships analysed (DESI-WHI, DESI-GDPC and WHI-GDPC). In the case of DESI and WHI, the model captures 64.9 % of the data, in the case of DESI and GDPC, 46.7 %, and in the case of WHI and GDPC, the model reflects 58.9 % of the data. For all combinations, a regression function was determined to be linear, increasing. Thus, it means that for all combinations, if one variable increases, the other variable will also increase at the same time. Economic growth, as measured by GDP per capita, can be well explained by (is influenced by) the DESI index and is also positively influenced by the WHI. The survey shows that digitalisation needs to be given enough attention because this factor is closely linked to social progress and not only that, the pandemic has clearly shown us that digital services are our future in many area.

  • Název v anglickém jazyce

    The impact of digital transformation on the country's social progress

  • Popis výsledku anglicky

    The purpose of this paper is to investigate whether there is a relationship between the level of digitalisation and social stability (satisfaction) in EU countries, through two main indices. There are many predominantly benefits associated with digitalization, which can be at the macro, micro, and personal level of the individual. For example, economic growth, increasing productivity, well-being for people or better transparency. The DESI and WHI index data, as well as GDP per capita, were analysed using statistical methods, specifically Pearson's correlation coefficient and regression analysis. The aim is to identify the relationship between the DESI and WHI and then determine the relationship between these indices and GDP per capita. According to the basic statistic results the highest value of DESI and WHI indicator was obtained by Finland. Luxembourg had the highest reported GDP per capita. The lowest results were achieved in Romania (DESI) and Bulgaria (WHI and GDPC). A strong positive relationship was found across all relationships analysed (DESI-WHI, DESI-GDPC and WHI-GDPC). In the case of DESI and WHI, the model captures 64.9 % of the data, in the case of DESI and GDPC, 46.7 %, and in the case of WHI and GDPC, the model reflects 58.9 % of the data. For all combinations, a regression function was determined to be linear, increasing. Thus, it means that for all combinations, if one variable increases, the other variable will also increase at the same time. Economic growth, as measured by GDP per capita, can be well explained by (is influenced by) the DESI index and is also positively influenced by the WHI. The survey shows that digitalisation needs to be given enough attention because this factor is closely linked to social progress and not only that, the pandemic has clearly shown us that digital services are our future in many area.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Trends in Economics and Management

  • ISSN

    2336-6508

  • e-ISSN

  • Svazek periodika

    16

  • Číslo periodika v rámci svazku

    40

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    10

  • Strana od-do

    9-20

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus