From Presence to Performance: Mapping the Digital Maturity of Romanian Municipalities
Abstract
:1. Introduction
- RQ1: To what extent have Romanian municipalities implemented digital services on their official websites as of mid-2024?
- RQ2: What patterns of digital maturity can be observed across different classes of analysis (e.g., transparency, e-documents, and communication)?
- RQ3: How do the results align with existing e-government maturity models, particularly in distinguishing municipalities at the transactional (e-Gov 2.0) and integrated service (e-Gov 3.0) stages?
2. Context
3. Literature Review
4. Research Methodology
- Lack of granularity: the UN EGDI and Holzer’s model focus on broad national indicators, failing to assess municipal service differentiation.
- Limited citizen-centric indicators: many frameworks emphasize technological availability rather than usability, citizen interaction, and service efficiency.
- Absence of local governance autonomy considerations: Romania’s decentralized governance structure allows municipalities to implement digital services independently, which is not reflected in standard global indices.
- Automated scraping using ParseHub API was used to gather structured data uniformly across all web pages.
- Manual validation was conducted on a sample to cross-check the scraper outputs against the actual website content. This included verifying the accuracy of indicator detection and the correct association between each web portal and its city hall.
- Literature Review: There were examined global e-government assessment frameworks, such as the United Nations E-Government Development Index (EGDI) (United Nations, 2025), Layne and Lee’s E-Government Maturity Model (Layne & Lee, 2001), and Holzer’s Digital Governance Model (Holzer & Manoharan, 2016). Also, the authors reviewed municipal-focused studies, including those by Feeney and Brown (2017) and Homburg and Dijkshoorn (2011), which evaluated online services at the local government level.
- Alignment with Romanian Municipal Practices: The list was refined by considering actual services provided by Romanian municipalities (as observed in a preliminary website analysis conducted between 2012 and 2024). Only indicators with a clear public service function (e.g., e-petitions, online tax payments, and transparency reports) were included. Expert Validation: a panel of digital governance specialists and municipal IT officers reviewed the list to ensure relevance and feasibility.
C51 and C52 | — | Values for the named subclasses; |
GC51 and GC52 | — | Grades received by each subclass. |
C1, C2, C3, C4, and C5 | — | The classes of analysis, as shown in Table 1; |
C1(i), C2(i), C3(i), C4(i), and C5(i) | — | Indicators used for investigating the website. To build up the result for C5, Formulas (1) and (2) were used; |
MaxC(1–5) | — | The maximum number of points per class, as shown in Table 1; |
Ms | — | The municipality score, that is, the final score obtained by the website. |
j | — | Takes the value from 1 to 5 according to each class of analysis; |
i | — | Takes the value from 1 to 103 according to each municipality. |
Ci and Ms | — | The value obtained by using Formulas (3) to (8); |
TSoS@Ci | — | The total set of scores obtained at class Ci, where i takes values from 1 to 5 according to the class no.; |
TSoS@Ms | — | The total set of scores obtained by the municipality (Ms). |
Integration of Indicators with E-Government Maturity Models
- Informational (web presence): basic indicators such as organizational charts (C12), budget information (C15), and public announcements (C24) align with this initial stage, representing static information dissemination.
- Interactional: indicators enabling basic two-way communication, including direct contact lines (C31), online suggestion submissions (C32), and social media presence (C33), characterize this stage, highlighting preliminary citizen–government interactions.
- Transactional (e-Gov 2.0): indicators reflecting transactional services such as online forms (C21), petitioning systems (C23), and application tracking systems (C22) align closely with this stage, representing direct digital service interactions between citizens and institutions.
- Integrated Services (e-Gov 3.0): advanced indicators involving personalized user experiences, notably the citizen sign-in/log-in feature (C34), comprehensive city maps (C41), multilingual content (C43), and live cameras for real-time urban interactions (C45), align with this higher stage of maturity by integrating multiple services into unified, user-centric digital platforms.
5. Results
5.1. General Results
- Larger, wealthier cities perform better. Municipalities with higher GDP per capita and larger populations tend to have more advanced e-services. These cities often receive higher IT infrastructure investment and EU funding.
- Smaller municipalities lag behind. Many smaller municipalities in northeastern Romania had lower scores in transactional e-services and usability.
- The Bucharest–Ilfov region outperforms all others, reflecting stronger government funding and IT infrastructure;
- The northeast and south regions show weaker scores, highlighting the need for targeted policy interventions.
5.2. Results on Each Classes of Analysis
5.2.1. Transparency
5.2.2. E-Documents
5.2.3. Communication
5.2.4. Practical Content
5.2.5. Generalities
5.3. Discussion of Differences Between Categories
- Best-Performing Category: transparency. This is expected, as Romanian law mandates the publication of financial records, budgets, and public meeting minutes (Law no. 52/2003). The high scores indicate compliance with legal requirements rather than proactive digital innovation.
- Weakest Category: generalities. This category assesses user experience, accessibility, and design quality. The lower scores suggest that esthetics and navigability are not a priority for many municipalities. Possible causes: limited IT expertise among municipal staff and reliance on in-house development using basic CMS platforms (Joomla and WordPress).
- Emerging Trend: e-documents and communication. Significant growth in electronic forms and online petitions. However, tracking systems for submitted applications are still underdeveloped (only 73.79% availability). This indicates a shift toward transactional e-government (e-Gov 2.0), which has not yet reached fully integrated services (e-Gov 3.0).
- A majority (85.44%) of municipalities provide e-petitioning systems (C23) and online tracking of submitted applications (73.79%), positioning them solidly within the “Transactional” stage.
- One exemplary municipality, achieving the highest overall score of 23 points, offers advanced integrated services like personalized log-in experiences, comprehensive multilingual portals, regularly updated Google Maps integration, and live camera feeds, thus demonstrating a transition toward the “Integrated Services” stage (e-Gov 3.0).
6. Study Limitations
- Nature of the data: This study’s national scope makes replication difficult. Moreover, despite querying all Romanian municipalities at the same time, with the same tools and indicators, thereby controlling for potential intervening and confounding factors and reducing the risk of endogeneity, this limitation still exists;
- Temporal validity: Given the dynamic nature of online content, the data collected may not fully represent the current state of municipal websites, especially following administrative changes in June 2024 (Biroul Electoral Central [BEC], 2024). This limitation is common in digital research and reflects the inherent velocity of web-based environments;
- Inability to make international comparisons: comparing the results of this study with those from other countries may be inaccurate due to differences in economies, policies, approaches, and general conditions that influence the pace of digitalization;
- Limited indicators: This study relied on specific indicators to assess e-governance capacity, which may not capture all aspects of the local public administration’s capabilities. The use of additional or alternative indicators and/or sources of data could potentially yield different results;
- Cross-sectional data: This study is based on a snapshot of data at a specific point in time, which may not reflect changes in e-governance capacity over time. Longitudinal data would provide a more precise depiction of the associations between the variables under investigation.
- Potential for measurement error: The process of collecting data for some indicators and assigning scores may be subject to human error or biases. Subjective interpretation was necessary in class C5 (generalities). However, a standardized rubric was applied to maintain scoring consistency.
- Primary focus on assessing online engagement: This focus may not capture the full spectrum of interactions and communication channels between citizens and government bodies. Additionally, the research may not account for potential barriers to online engagement, such as digital literacy, internet access, or the effectiveness of the digital tools provided by the institutions. Consequently, the findings might not fully reflect the overall engagement and interaction between citizens and their local governments.
- The study primarily focuses on the availability and structural readiness of digital services, rather than their actual usage (adoption rates) or effectiveness (e.g., reduced administrative burden or improved citizen satisfaction). While this provides a useful proxy for evaluating municipal digital maturity, it does not capture the full spectrum of digital service performance. This limitation arises largely from the absence of publicly available usage data or citizen feedback analytics on municipal platforms. Consequently, while this study can assess how well-prepared municipalities are in offering digital services, it cannot evaluate how those services are being received or utilized. We have therefore chosen to interpret “digital maturity” in this study as digital infrastructure maturity, focusing on the supply side of e-government. Future research will aim to complement this structural analysis with demand-side indicators, including platform usage metrics, citizen satisfaction surveys, and administrative efficiency improvements.
- The present analyses primarily evaluate municipal website features as a proxy for e-government maturity, focusing on the availability of online services, transparency, and digital engagement, and this study is not focusing on interoperability and citizens’ usage.
7. Findings
- Enhanced user experience: municipal web pages should prioritize a user-centric design, ensuring easy navigation, engaging content, and an intuitive interface that encourages citizen participation in governance processes and access to online services.
- Integrated services: E-government 3.0 envisions the seamless integration of public services across different departments and agencies, enabling citizens to access services more efficiently. Municipal web pages can serve as one-stop portals, linking various departments and offering access to multiple services from a single platform.
- Data-driven decision-making: Smart cities use data to enhance decision-making and optimize resource allocation. Municipal web pages can incorporate data analytics tools and dashboards that provide insights into urban trends, patterns, and challenges, enabling local governments to make informed decisions and formulate targeted policies.
- Open data and transparency: E-government 3.0 emphasizes governance transparency and openness. Municipal web pages can function as platforms for sharing open data, budget information, and legislative updates, promoting accountability and encouraging citizen involvement in the decision-making process.
- Digital participation and collaboration: Municipal web pages can facilitate digital participation by offering online voting, electronic referendums, and public consultations. This enables citizens to directly influence governance and fosters a sense of ownership and responsibility within the community.
- Based on Layne and Lee’s (2001) four-stage model, our findings indicate that most Romanian municipalities are in the “Transactional” stage (e-Gov 2.0), with some larger cities transitioning toward “Integrated Services” (e-Gov 3.0). However, smaller municipalities remain in earlier stages (web presence and interactional services).
- While this study frequently references the transition toward e-Gov 3.0 and the potential integration of AI into public services, we must clarify that no AI-specific indicators were included in this year’s analysis. Despite actively investigating municipal websites and communications for evidence of AI deployment (e.g., chatbots, automated workflows, or decision support systems), we found only isolated and exploratory cases. These early implementations were either not operational at the time of evaluation or lacked sufficient scale or relevance to include in a structured framework. As such, their exclusion was based on empirical insufficiency rather than conceptual oversight. However, we anticipate that AI adoption at the municipal level will follow a trajectory similar to social media integration, that is, initially sparse and fragmented but increasingly normalized. Given the longitudinal nature of our research, we plan to revisit this analysis annually and will introduce AI-specific indicators when appropriate, thereby strengthening the link between Romania’s digital infrastructure and the broader e-Gov 3.0 paradigm.
8. Discussions and Conclusions
- Municipality-Level Digitalization Assessment: unlike previous studies that focus on national or regional digital governance trends, this research evaluates digital services at the municipal level, providing a more granular and actionable perspective for policymakers.
- Comprehensive E-Service Evaluation: By employing a five-category framework, this study bridges the gap between theoretical e-governance maturity models and real-world municipal service evaluations (Table 7). This allows for a more precise benchmarking of Romanian municipalities and offers policy recommendations tailored to the local context.
- Local Economic Growth: digital transformation optimizes administrative processes, reducing bureaucratic burdens for businesses and residents.
- Employment and workforce implications: the transition to e-government 3.0 introduces both efficiencies and challenges in the public sector workforce.
- Digital inclusion and social equity: despite improvements in online municipal services, the digital divide remains a concern in Romania.
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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C1 Transparency | C2 E-Documents | C3 Communication | C4 Practical Content | C5 Generalities |
---|---|---|---|---|
C11. Employee’s declaration of wealth | C21. Online forms and/or off-line (.pdf, .doc, and .xls) | C31. Mayor cabinet direct contact line (by email, tel., or WhatsApp number) | C41. City map on the Google map platform (updated and maintained by the municipality) | C51. Pleasant design of the city official website 1 |
C12. Organizational chart | C22. Tracking of submitted application | C32. Online suggestions of improvement | C42. In site search by keywords | C52. Easy browsing inside the website 2 |
C13. Minutes of the internal/public meetings | C23. Online petitioning | C33. Social media official presence (Facebook, Instagram, Twitter, etc.) | C43. Multiple language selector | C53. Contact information regarding private companies that provide public services |
C14. Employees’ resumes | C24. Public announcements | C34. Sign-in/Log-in section for citizens | C44. City news section | |
C15. Budget information | - | - | C45. List of live cameras and web addresses for citizens to connect | - |
C16. Existence of legislation and city/county decisions | - | - | C46. Newsletter subscription | - |
Maximum no. of points per class = 6 | Maximum no. of points per class = 4 | Maximum no. of points per class = 4 | Maximum no. of points per class = 6 | Maximum no. of points per class = 3 |
Maximum no. of points per city = 23 |
Grade | Description |
---|---|
1 |
|
2 |
|
3 |
|
4 |
|
5 |
|
Electronic Public Services | No. of Municipalities | % |
---|---|---|
Active website for the municipality | 103 | 100.00% |
Official social media profile of the municipality | 103 | 100.00% |
Sign-in/Log-in section for citizens | 68 | 66.02% |
The existence of electronic forms on the website | 91 | 88.35% |
Online/mobile tracking of submitted applications | 76 | 73.79% |
Online/mobile petitions | 88 | 85.44% |
The citizen’s possibility to subscribe to a newsletter | 83 | 80.58% |
Grade 1 | No. of Municipalities | % |
---|---|---|
Very good (overall relative score equal to 5) | 55 | 53.40% |
Good (overall relative score equal to 4) | 25 | 24.27% |
Satisfactory (overall relative score equal to 3) | 15 | 14.56% |
Poor (overall relative score equal to 2) | 6 | 5.83% |
Very poor (overall relative score equal to 1) | 2 | 1.94% |
Score | No. of Municipalities (%) | ||||
---|---|---|---|---|---|
C1 | C2 | C3 | C4 | C5 | |
5 | 88 (85.44%) | 72 (69.90%) | 63 (61.17%) | 64 (62.14%) | 55 (53.40%) |
4 | 7 (6.80%) | 16 (15.53%) | 34 (33.01%) | 21 (20.39%) | 25 (24.27%) |
3 | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 14 (13.59%) | 15 (14.56%) |
2 | 7 (6.80%) | 6 (5.83%) | 5 (4.85%) | 1 (0.97%) | 6 (5.82%) |
1 | 1 (0.97%) | 9 (8.74%) | 1 (0.97%) | 3 (2.91%) | 2 (1.94%) |
Score | No. of Municipalities (%) | |
---|---|---|
Pleasant Design (C51) | Easy Browsing (C52) | |
5 | 8 (7.77%) | 8 (7.77%) |
4 | 27 (26.21%) | 29 (28.16%) |
3 | 19 (18.45%) | 31 (30.10%) |
2 | 33 (32.04%) | 25 (24.27%) |
1 | 16 (15.53%) | 10 (9.71%) |
Framework | Scope | Key Indicators | Limitations |
---|---|---|---|
Layne and Lee’s (2001) Model | National and Theoretical | Stages: informational, transactional, and integrated | Focuses on national trends and lacks citizen interaction indicators |
UN E-Government Index (EGDI) | Global and Benchmarking | Online services, infrastructure, and human capital | Aggregates national data and does not assess municipal variation |
Holzer Model (2016) | Digital Governance Evaluation | Privacy, usability, content, services, and engagement | Less emphasis on automation and AI-based services |
This Study’s Model (2025) | Municipality-Level Evaluation | Transparency, e-documents, communication, practical content, and generalities | Tailored to Romanian municipalities and lacks AI-specific indicators |
Class Analyzed | Pearson Correlation with the Final Results (Cj and Ms) |
---|---|
Transparency | 0.740 |
E-Documents | 0.845 |
Communication | 0.543 |
Useful content | 0.842 |
Generalities | 0.295 |
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Vrabie, C. From Presence to Performance: Mapping the Digital Maturity of Romanian Municipalities. Adm. Sci. 2025, 15, 147. https://doi.org/10.3390/admsci15040147
Vrabie C. From Presence to Performance: Mapping the Digital Maturity of Romanian Municipalities. Administrative Sciences. 2025; 15(4):147. https://doi.org/10.3390/admsci15040147
Chicago/Turabian StyleVrabie, Catalin. 2025. "From Presence to Performance: Mapping the Digital Maturity of Romanian Municipalities" Administrative Sciences 15, no. 4: 147. https://doi.org/10.3390/admsci15040147
APA StyleVrabie, C. (2025). From Presence to Performance: Mapping the Digital Maturity of Romanian Municipalities. Administrative Sciences, 15(4), 147. https://doi.org/10.3390/admsci15040147