The study’s central methodological claim deserves closer attention, because it challenges a habit that has become deeply embedded in how governments, journalists, and even researchers talk about national performance. Single indicators, whether a digital services score or a governance percentile, compress complicated realities into one number, and countries with very different profiles can end up side by side in a ranking table. A nation might score well on connectivity while lagging badly in the quality of its online public services, or it might have strong rule-of-law institutions but weak digital infrastructure. When such countries are placed adjacent in a league table, observers naturally assume they are similar, which can lead to poor policy borrowing and misplaced expectations. Cluster analysis addresses this problem by asking a different question: rather than ranking countries along a single axis, which countries actually resemble one another across many dimensions at once?

To answer that question rigorously, the authors did not rely on a single algorithm. They applied two fundamentally different clustering techniques: k-means, a non-hierarchical method that partitions observations into a predetermined number of groups by minimizing within-cluster variation, and Ward’s method, a hierarchical approach that builds clusters step by step by merging the pairs that produce the smallest increase in total variance. The fact that both methods, which operate on quite different mathematical logic, converged on the same four-group structure is important. Agreement between independent clustering approaches is a standard test of robustness, because it suggests the identified groups reflect genuine structure in the data rather than artifacts of one particular algorithm’s assumptions. The addition of Principal Component Analysis further strengthened the analysis by reducing the many individual indicators into a smaller set of underlying dimensions before grouping the countries.

The four clusters that emerged carry evocative names that summarize their positions. The ‘Digital Leaders’ occupy the top tier, combining strong digital public services with high-quality institutions. The ‘Advanced Digitalisers’ follow closely, showing strong digital performance with somewhat less institutional maturity. The ‘Digital Followers’ trail in adoption and institutional measures alike, while the ‘Challenges Group’ faces the steepest obstacles on both fronts. This gradation matters because it shows that digital maturity and institutional quality are not randomly distributed across the European Union; instead, they tend to move together, forming a coherent geography of development patterns that persists regardless of which clustering technique is applied.

Among the governance dimensions examined, four stood out for their association with digital performance: regulatory quality, government effectiveness, rule of law, and control of corruption. These indicators all loaded heavily on the main governance component identified through the principal component analysis, meaning they capture a common underlying factor of institutional strength. This finding aligns with a substantial body of scholarship in public administration and development economics, which has long argued that capable, predictable, and honest institutions are preconditions for complex administrative undertakings. Digital government is precisely such an undertaking: it requires agencies to redesign processes, share data across organizational boundaries, maintain reliable systems, and sustain public trust over long periods. Where corruption distorts procurement, where regulations shift unpredictably, or where civil servants lack the mandate and skills to implement reforms, technology investments alone rarely deliver their promised returns.

The practical implications for policy are perhaps the most consequential part of the study. For countries in the ‘Challenges Group’, the authors recommend prioritizing anti-corruption measures, regulatory quality, and administrative capacity-building rather than concentrating exclusively on technological infrastructure. This reverses a common pattern in which digital transformation strategies emphasize hardware, broadband rollout, and platform development while treating institutional reform as secondary or optional. The evidence assembled here suggests that sequencing matters: without credible institutions, even well-funded digital programs may stall at the implementation stage or fail to achieve meaningful adoption by citizens and businesses. Conversely, member states that have paired their technology investments with sustained administrative reform appear to have reached a self-reinforcing position, where good governance enables digital services and effective digital services, in turn, reinforce trust in government.

It is worth considering why digital public services, among all the dimensions of digitalization, are so tightly coupled to institutional quality. Unlike private-sector digital products, government services carry obligations of legality, accountability, and equal treatment. An online portal for business registration or social benefits is not merely software; it is the visible face of administrative law and procedure. Building such systems requires inter-agency coordination that only effective governments can mandate, procurement processes that only clean institutions can keep honest, and legal frameworks that only sound rule-of-law environments can guarantee. Citizens, moreover, must trust that the data they submit will be handled properly, and trust is difficult to establish where corruption is perceived to be widespread. In this light, the statistical association found in the study is not surprising but rather confirms what practitioners in e-government have often observed anecdotally.

The choice of data sources also shapes what the study can reveal. DESI, compiled by the European Commission, tracks connectivity, human capital, technology use, and digital public services across the member states, providing a harmonized and regularly updated picture of digital maturity. The Worldwide Governance Indicators, produced by the World Bank, aggregate many separate assessments into six composite dimensions of governance, ranging from voice and accountability to political stability. Because both datasets are standardized across all EU countries, they permit comparisons that would otherwise be impossible with purely national statistics. At the same time, composite indices have known limitations: they summarize diverse underlying measurements, and their construction involves methodological choices that can influence results. The authors’ decision to use multiple clustering methods and dimension-reduction techniques can be read as a deliberate response to these limitations, testing whether the typology survives reasonable variations in analytical approach.

For the member states themselves, the typology offers a mirror that single rankings cannot provide. A country placed in the ‘Advanced Digitalisers’ group, for example, can see that its nearest peers share a particular combination of strengths and weaknesses, and can look to the ‘Digital Leaders’ for models of the institutional reforms that appear to accompany the transition to the top tier. Countries in the ‘Digital Followers’ group, meanwhile, may find that their most relevant benchmarks are not the continental frontrunners but peers facing similar starting conditions, whose recent experiences are more transferable. This peer-group logic is one of the quiet strengths of cluster analysis in comparative policy research: it replaces the intimidating single leaderboard with a map of realistic reference points.

The study also contributes to a broader conversation about how sustainability and digitalization intersect. Discover Sustainability, the journal in which the work appears, sits at the junction of environmental, social, and economic sustainability research, and the framing of the article reflects that orientation. Efficient and transparent public services, the authors argue in their abstract, foster a competitive business environment and social well-being by facilitating business expansion, job creation, and foreign direct investment. Digital government, in this view, is not an end in itself but an instrument for broader developmental goals. The finding that institutional quality underpins digital maturity adds a governance dimension to sustainability discussions, suggesting that anti-corruption efforts and administrative reform are not merely matters of political hygiene but foundations for the digital capabilities on which modern economies increasingly depend.

Several caveats are appropriate when interpreting results of this kind. Cluster analysis identifies patterns in data as they exist at a point in time; it does not by itself establish causal direction. The strong association between governance and digital maturity could reflect institutions enabling digitalization, digitalization strengthening institutions, or third factors, such as overall economic development and historical trajectories, driving both. Longitudinal research that tracks countries as they move between clusters over successive measurement periods would help disentangle these possibilities. Similarly, the four-cluster solution, while robust across the two methods employed, represents one reasonable summary of a complex landscape; alternative specifications of indicators or distance measures could yield somewhat different groupings. The authors’ transparency about their methods allows other researchers to test such variations.

Nevertheless, the consistency of the four-group structure across independent techniques, and the coherent pattern of governance loadings that accompanies it, give the typology considerable weight. For policymakers in the European Union, the message is sobering but actionable: the digital divide between member states is not primarily a technology gap that procurement budgets can close, but a governance gap that requires patient institutional work. For researchers, the study demonstrates the value of multidimensional, methodologically plural approaches to comparative benchmarking. And for anyone who has watched a national digital strategy falter despite ample funding, the findings offer an explanation rooted in evidence: sustainable digital transformation, the authors conclude, requires aligning technological investment with broader administrative reform, and the countries that have understood this are precisely the ones that now lead the field.

Subject of Research: Clustering of EU member states by digital public services maturity and institutional governance quality

Article Title: A four-cluster typology of the EU member states in digital public services and institutional governance using DESI and WGI data

Article References: Gurnasa, L., & Mazure, G. (2026). A four-cluster typology of the EU member states in digital public services and institutional governance using DESI and WGI data. Discover Sustainability. https://doi.org/10.1007/s43621-026-04895-y

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04895-y

Keywords: EU member states, cluster analysis, DESI, Worldwide Governance Indicators, digital public services, e-Governance, institutional governance, k-means clustering, Ward's method, principal component analysis, digital maturity, regulatory quality