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This paper examines the relationship between digitalization and sustainable
development and presents the composite index used for measuring the digital
competitiveness of nations – the Digital Economy and Society Index (DESI). Today’s
environment is highly dependent on technological capabilities. Tracking
contemporary technological development is b...
Contexts in source publication
Context 1
... level has 12 sub-dimensions, and the third level has 31 individual indicators. Complete structure of DESI with the weighting system is presented in Figure 2. The five principal dimensions are defined by the five principal policies for digital economy and society. ...
Context 2
... weighting system used for the computation of final DESI score, not all the dimensions have the same share: Connectivity and Human Capital are having the largest impact with 25% each, then Integration of Digital Technology with 20%, while Use of Internet and Digital Public Services have the lowest impact of 15%. Within dimensions, the sub-dimensions also have different weighting system shown in Figure 2 (European Commission, 2017). Analysing the structure and methodology used for computation of the DESI, we can conclude that the indicators are carefully examined, selected and appropriate for the phenomenon they measure. ...
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Citations
... Digital access to finance is among the most widely documented international developments (Duvendack & Mader, 2020;Mogaji & Nguyen, 2022;Tay et al., 2022). Digitalization is one of the most critical motivations behind world development (Jovanović et al., 2018). The foundational assumption of Digital Financial Inclusion or DFI is that the underprivileged or excluded should have access to official bank accounts and may use digital platforms to perform basic financial transactions for the smooth running of their business activities. ...
Digitalization has become an economic force in the modern era, restructuring traditional business models, approaches, and procedures. The embracing of widespread digital technology, along with continuous development of human capital, to promote entrepreneurship is a significant challenge. This paper investigates the effect of digitalization and GDP on entrepreneurship, as well as the moderating effect of human capital. For this purpose, fixed effect estimation technique was used on annual unbalanced panel data of 139 countries collected for a period of 9 years, that is, from 2011 to 2019. The findings show that digitalization has a positive and a statistically significant impact on entrepreneurship in the singleton model, as well as a positive and significant impact in all other models. Similarly, GDP growth also has a positive and significant effect across all the models. Human capital, proxied as tertiary school education, was also found to have a positive and significant impact on entrepreneurship. The analysis shows that the impact of digitalization is more significant in countries where tertiary education fosters the development of human capital, than in those countries that offer primary and secondary education. Furthermore, human capital also moderates the nexus between digital financial inclusion, economic growth, and entrepreneurship. The results of the regional comparison also depict that there is a strong positive and significant impact of all the proxies of digitalization and GDP growth on entrepreneurship in Europe and Central Asia, as compared to East Asia and the Pacific. These results show that the higher the level of digitalization, economic growth, and human capital, the higher the level of entrepreneurship.
... This index encapsulates the three critical dimensions of digital transformation: infrastructure (INFR), affordability (AFFORD), and user adoption (USAD), as illustrated in Figure 1. The relative weighting of these dimensions within the overall index was meticulously determined based on an extensive review of existing literature, with specific reference to the values assigned to the underlying indicators across multiple empirical studies [48][49][50]. These studies provided a robust framework for understanding the structural composition of digitalization and guided the methodological approach in assigning appropriate weights to each dimension. ...
... These statistics offer an essential overview of the data, highlighting the central tendencies, variability, and distributional properties of both the explanatory and dependent variables. The relative weighting of these dimensions within the overall index was meticulously determined based on an extensive review of existing literature, with specific reference to the values assigned to the underlying indicators across multiple empirical studies [48][49][50]. These studies provided a robust framework for understanding the structural composition of digitalization and guided the methodological approach in assigning appropriate weights to each dimension. ...
This study explores the interplay between digital transformation and environmental sustainability in four emerging European Union economies—Bulgaria, Hungary, Poland, and Romania—through the lens of geographic information science and technology (GIS&T). Leveraging panel data from 2010 to 2022, digitalization is quantified through infrastructure, affordability, and user adoption metrics, consolidated into a comprehensive digitalization index. Environmental sustainability is assessed via greenhouse gas emissions and the share of renewable energy in total energy consumption, capturing critical spatial and ecological dynamics. Applying a generalized linear model, the results reveal that enhanced digital infrastructure and affordability contribute to emissions reduction, whereas increased user adoption correlates with higher energy demand and emissions. Furthermore, digitalization fosters improved integration of renewable energy sources, highlighting the strategic role of GIS&T in monitoring and optimizing sustainability initiatives. These insights emphasize the necessity of embedding geospatial analytics into policy frameworks to align digital transformation with environmental and socioeconomic sustainability goals.
... Islam et al. (2023) find a similar result in emerging economies, concluding that digital technologies stimulate SD by increasing innovation and economic growth while encouraging sustainability resulting in a more wealthy and equitable society for all. Jovanović et al. (2018) uncover a strong correlation between SD (SDG index, SDI) and digitalization (Digital Economy & Society Index, DESI), indicating that societies with higher levels of digitalization are more likely to achieve sustainability goals (see also Stan et al., 2020 for Romania). In line with the previous study, Ionescu-Feleaga et al. (2023) use two measures of SD (SDI and spillover index, SSI) to assess the effect of digitalization (DESI) on SD in European Union (EU) countries. ...
Sustainable development attempts to support the growth of individuals, communities, and cultures to attain a reasonable and equitable quality of life, healthcare, and education worldwide. Entrepreneurship and digitalization are widely acknowledged to be important in achieving sustainable development by creating job opportunities, increasing innovation, and supporting environmentally responsible corporate practices. Thus, the study explores the moderating role of digitalization in the nexus between entrepreneurship and sustainable development in Africa between 2006 and 2019. This is crucial in this era of digital technologies, especially in Africa where entrepreneurship may serve as a bedrock for economic development and growth. The study employs Driscoll and Kraay, Lewbel's two-stage least squares, and system generalized method of moments (SYGMM) techniques. The findings show that entrepreneurship positively influences sustainable development. Digitalization has a positive effect on sustainable development. Also, it acts as a complement to the entrepreneurship-sustainable development nexus, implying that digitalization enhances entrepreneurship in spurring sustainable development in Africa. Also, the findings show that both digitalization and entrepreneurship contribute to economic and social sustainability but lead to environmental degradation in Africa. The study, therefore, offers policy recommendations for policymakers, especially in African countries.
... Based on the findings of their study, highly digitalized countries also have higher GDP. Nonetheless, the economic development, as well as the social aspect, can have a positive impact on digital transformation (Jovanović et al., 2018). Therefore, digital transformation in creative industries can lead to the attainment of sustainable development. ...
This chapter explores the effect of digital transformation and entrepreneurial orientation on the sustainable development of creative industries with the mediating role of social capital. The study's statistical population includes managers of creative industries during 2022, and the sample size is 221 managers of these companies. The data collected through a questionnaire were analyzed with PLS4 software. Results show that businesses adapt to survive in a competitive market by reducing negative impacts on society and the environment. By focusing on social capital, companies can improve relationships between team members and gain access to resources. Many businesses are investing in digital transformation, which allows creative industries to enhance relationships with the community and boost economic performance.
... One of these refers to enhancing or modifying organizational processes, termed novel to the organization (Cijan et al., 2019;Legner et al., 2017;Ulas, 2019;Verhoef et al., 2021). Another one refers to the target market indicated as novel to market (Almeida et al., 2020;Branca et al., 2020;Jovanović et al., 2018;Mergel et al., 2019). Additionally, 24.1% of the articles concentrated on Dimensions Results from the scoping review meeting the needs of both the target market and the organization simultaneously (Hagberg & Jonsson, 2022;Kuusisto, 2017;Zoppelletto et al., 2020). ...
The aim of this study was to develop and validate a taxonomy designed to assist organizations in formulating their Digital Transformation Project implementation strategies. In creating this taxonomy, we sought to blend both conceptual frameworks and empirical data. The initial phase involved a scoping review that synthesized existing literature to lay the foundation for the taxonomy. Subsequently, we aimed to validate the taxonomy by gathering feedback from industry experts in Germany using a closed card sorting technique, complemented by case study analysis. This structured compilation of information regarding implementation strategies, presented through the taxonomy, simplifies the process for practitioners. Such a taxonomy enables practitioners to adopt a standardized vocabulary, which supports decision-making, encourages learning from previous successes and challenges, and facilitates the application of these lessons to their projects. Additionally, we have included practical case scenarios within the taxonomy, offering guidance for organizations on leveraging it in the execution of digital transformation projects.
... As shown in Fig. 4, high IND can positively moderate the BDA-OA relationship. A previous study suggested that greater IND positively influences a country's creativity, as well as the willingness and ability of employees in that country's firms to innovate and adopt new technologies (Jovanović et al., 2018). A past study highlighted that BDA usage supports organizational innovation processes (Capurro et al., 2022). ...
Big data analytics (BDA) is widely adopted by many firms to gain competitive advantages. However, some empirical studies have found an inconsistent relationship between BDA and firm performance (FP). Therefore, an underlying mediating mechanism may exist that facilitates their relationship. Based on the dynamic capabilities view (DCV) theory, this study aims to investigate the relationships among BDA, organizational agility (OA), and FP through meta-analysis. Additionally, we explore the mediating effect of OA on the BDA-FP relationship and the moderating effect of national culture (NC) on the BDA–OA–FP relationship. Furthermore, we examine potential methodological moderators in the BDA-FP relationship. Using the random-effect model, meta-analytic structural equation modeling, subgroup analysis, and meta-regression, we analyzed 34 studies with 42 independent samples conducted between 2019 and 2024. The results indicate that, firstly, BDA has a positive impact on OA and FP. Secondly, OA partially mediates the BDA–FP relationship, especially at the process level. Moreover, individualism and indulgence moderate the BDA–OA relationship, while uncertainty avoidance and long-term orientation moderate the OA–FP relationship at the marginal significance level. Regarding methodological moderators, the time dimension and analytical technique also moderate the BDA–FP relationship. This study contributes to the DCV theory in information system research and provides practical insights for firms.
... By contrast, (Knudsen et al., 2021) conclude that the effect of digitalization on competitive advantage and sustainability depends on the combination of big data and network impacts in a business model. (Novikova et al., 2022) emphasize the potential of digitalization to drive economic growth, whereas (Jovanović et al., 2018) underscore the importance of digitalization in achieving sustainable development, in accordance with the Digital Economy and Society Index. ...
... First, as a gauge for measuring digital advancement, the digital economy and society index (DESI) is utilized. This index comprises four key dimensions, namely, "connectivity", "human capital", "digital technology integration", and "digital public services" (Jovanović et al., 2018). It thoroughly represents a nation's socioeconomic digital evolution, focusing on both preparedness and progress. ...
In the face of global environmental and economic challenges, the role of digitalization and eco-innovation in driving sustainable competitiveness remains underexplored, particularly in the context of EU countries. This study aims to examine how digitalization and eco-innovation contributed to enhancing sustainable competitiveness among 27 EU countries from 2017 to 2022. Using an unbalanced panel data analysis, we employed the Prais‒Winsten regression model with panel-corrected standard error (PCSE) to assess the effects of eco-innovation, digital integration, human capital, economic freedom, and internet usage on sustainable competitiveness. The results indicate that eco-innovation and economic freedom significantly enhance sustainable competitiveness, whereas population growth negatively impacts it. Human capital in the digital sector also plays a critical role, emphasizing the importance of developing digital skills to support sustainable competitiveness. The findings suggest that policies promoting eco-innovation and digital skill development are crucial for improving sustainable competitiveness. Future research should explore these dynamics longitudinally and across diverse economies to deepen the understanding of digital and environmental transformations.
... Az első, pirossal jelzett klaszter legfőbb kulcsszava az "ICT" -információs és kommunikációs technológia, és a leggyakrabban a "European Union" (Európai Unió), a "technologies" (technológiák), az "education" (oktatás) és a "digital skills" (digitális készségek) szavakkal/kifejezésekkel említve azt sejteti, hogy az információs és kommunikációs technológia (IKT) elterjedésének kulcsa az oktatásban rejlik, ezáltal sajátíthatóak el a digitális készségek. Többen is úgy vélik, hogy az EU gazdaságának a fejlődéséhez és növekedéséhez az IKT eszközeinek használata elengedhetetlen (Fernández-Portillo et al. 2020;Jovanović et al. 2018;Stofkova-Hraskova 2017). Ezen túlmenően maga az EB is már 2010-től szerepelteti a digitális menetrendjében az IKT-kat mint kulcsfontosságú elemeket az EU célkitűzéseiben (Európai Bizottság 2010a). ...
... A kékkel jelölt 3-as klaszterben a leggyakrabban előforduló kulcsszó a "digitalization" (digitalizáció), melynek hatása az innovációra (kulcsszóként szerepel) megkérdőjelezhetetlen. Luchko (2020) és Jovanović et al. (2018) úgy vélik, hogy az egyes tagállamok kulturális szokásai is meghatározóak a digitalizáció folyamatában. Hofstede (1984) kulturális dimenzióit felhasználva arra a következtetésre jutottak, hogy azokban az államokban, ahol magas az individualizmus és a hierarchia szintje, és magasabb a kockázatvállalási, valamint az életélvezeti hajlandóság, ott magasabb a gazdaság digitalizációs szintje is (Ivanovic-Dukic et al. 2019). ...
Az Európai Bizottság 2014 óta követi nyomon a tagállamok digitális fejlődését a digitális gazdasági és társadalmi (DESI) index segítségével. A DESI éves adatbázisainak felhasználásával arra kerestük a választ, hogy kimutatható-e konvergencia a tagállamok között. Az indexek eltéréseit vizsgálva az ún. Máté-hatás meglétére gyanakodtunk. Feltételeztük továbbá, hogy a Covid-19-világjárvány hatással van a DESI-index változására. A kérdéseket bibliometriai, statisztikai-matematikai módszerekkel vizsgáltuk. A σ-konvergenciaelemzéseket a tagállamok közötti különbségek időbeli csökkenésének, míg a β-konvergenciaelemzést a kezdeti fejlettségi szinthez való felzárkózás mértékének becslésére használtuk. A Máté-hatás ellenőrzésére PCA-elemzést végeztünk további λ-variánsokkal, figyelembe véve az egy főre jutó reál-GDP változását. A σ- és a β-konvergencia is a 2016–2021 közötti időszakra vonatkozóan megerősítést nyert, és megállapítottuk, hogy a felzárkózás felezési ideje körülbelül 20 év. A 2016–2021-es időszakban a Máté-hatás bár nem igazolható szignifikánsan, tendenciajelleggel mégis utal annak meglétére.
... Existing literature also found a positive contribution of digitalization in most drivers of sustainable development (Kelly & Kamil-Thomas, 2020;Singh et al., 2024c). For instance, Jovanović et al. (2018) reported that digitalization is crucial to increase the sustainable development of society. Public health is also a significant pillar of sustainable development (Singh & Jyoti, 2023c). ...
... Here, DII and PHI are used as representative variables for digitalization and public health, respectively. Previous studies also used estimated indexes as DVs and IVs in the empirical analysis (Jovanović et al., 2018). Furthermore, the progress of digitalization and public health is also determined by many indicators like exports of goods and services, final consumption expenditure, GDP per capita, employment to population ratio, population density, population growth, scientific and technical journal articles and total vulnerable employment. ...
This study assesses the influence of digitalization on the public health sector across 52 countries. For the above-mentioned investigation, it creates a digital infrastructure index (DII) which is used to observe the progress of these countries in digitalization. Public health index (PHI) is also created for selected countries during 2010 – 2022. Further, estimated values of the PHI are considered to explore the relative progress of these countries in public health. The Karl-Pearson correlation coefficient analysis is adopted to observe the association of digitalization and public health with other macro indicators. It also examines the association of digitalization with public health as including specific control variables in regression analysis. It found a positive causal association among the mentioned indexes. The global countries cannot improve their health sector without adopting digitalization. The empirical results are helpful to improve public health using digitalization, digitalization as improving public health.
... Digital platforms also support entrepreneurship, particularly in emerging markets where formal financial services might not be easily available. Jovanović et al. (2018) noted that the more digitized nations exhibit more viable, and advanced entrepreneurship actions. Consequently, DI would create sustainable entrepreneurship and business ecosystems. ...
... Nevertheless, these equal opportunities of DI can enable high-speed connectivity, and create collective efforts across G20 countries. In the past two decades, the societal structure has been highly dependent and shaped by DI (Jovanović et al., 2018). Rapid digital transformation could be helpful for increasing the change in social, and economic structures (Schwab, 2016). ...
This chapter examines the significance of digital infrastructure (DI) to achieve sustainable development goals (SDGs) in G20 countries during 2010-2022. It develops a set of simultaneous models to assess the causal association of SDGs and its other drivers with DI. SDGI is the inclusion of its three main supportive drivers. It also detects the causal interlinkages of SDGI and its other supportive components with DI. There is also noted a diversity in a group of specific countries in DI and SDGs. Most European Union (EU) countries could achieve better positions in SDGs and DI. Hence, high diversity in SDGs and DI is creating obstacles to achieve SDGs in low-ranking countries. Moreover, SDGs and their other drivers (except environmental sustainability) have positive and significant interlinkages with DI. It also provides numerous policy suggestions to achieve SDGs in G20 countries and scope of further research.
