Digital Public Service Maturity and Municipal Governance Performance: A City-Level Diagnostic Framework for Armenia

Abstract

Digital transformation of municipal public services remains uneven in transition economies, while national e-government indices often obscure substantial disparities across cities. This study develops a composite E-Government Maturity and Performance Index (EGMPI) to evaluate eleven Armenian municipalities across four governance dimensions: digital service availability, administrative efficiency, transparency and accountability, and citizen interaction and participation. Using publicly available data for Q1 2024, the analysis reveals pronounced metropolitan concentration, with large cities significantly outperforming smaller municipalities. Although performance correlates with population size and fiscal capacity, institutional and managerial factors strongly mediate outcomes, as comparable municipalities display substantial differences in service maturity. Results further show that local governments tend to prioritize transparency measures over functional efficiency, indicating symbolic digitalization rather than substantive service transformation. Unlike national e-government indices, this study provides a city-level diagnostic framework enabling intra-country performance comparison and actionable municipal policy design. Based on the findings, a multi-level policy roadmap is proposed, including shared national platforms, regional digital hubs, targeted capacity building, and leapfrogging strategies for low-maturity cities. The proposed governance-oriented framework offers a replicable tool for transition economies and demonstrates that effective digital transformation depends primarily on institutional coordination and citizen-centric management rather than financial resources alone.

1. Introduction

The rapid digital transformation of public administration has become a defining feature of contemporary smart city development. Municipal governments increasingly adopt online platforms, electronic portals, and data-driven tools to modernize service delivery, enhance transparency, and improve operational efficiency [1,2,3]. Digital public services—ranging from online permits and tax payments to electronic procurement and citizen feedback systems—are now widely regarded as essential components of urban governance infrastructures.

Yet despite this expansion, the practical benefits of digitalization remain uneven and insufficiently understood. The mere introduction of information technologies does not automatically lead to improved service quality or better governance outcomes [4,5]. Many cities implement digital solutions without measurable gains in accessibility, responsiveness, or citizen satisfaction. This implementation gap suggests that digital transformation is not solely a technological process but also a managerial and institutional challenge, shaped by organizational capacity, strategic priorities, and governance practices [6,7,8].

Existing research on e-government has predominantly focused on national-level assessments, composite country rankings, or technical infrastructure readiness [9,10]. While these approaches provide useful macro-level comparisons, they offer limited actionable insights for municipal decision-makers responsible for day-to-day service provision and operational governance. Urban administrations require practical diagnostic tools that allow them to evaluate how effectively digital services support local governance performance and where targeted improvements are needed. However, systematic measurement frameworks at the city level remain scarce, particularly in transition and resource-constrained economies [11,12].

Recent urban governance research further emphasizes that cities function as differentiated sites of state capacity within multi-level governance systems. In such contexts, institutional capabilities and relational positioning within national urban networks often shape policy outcomes and administrative performance. Consequently, understanding digital government development requires attention not only to national strategies but also to the institutional diversity of municipal governance systems.

This gap is especially relevant for cities operating under budget limitations and institutional constraints, where investments in digitalization must generate tangible public value. In such contexts, effective governance often depends less on sophisticated technologies and more on strategic managerial coordination, process redesign, and citizen-oriented service organization [13,14]. Consequently, evaluating e-government through a governance lens—rather than a purely technical one—becomes critical for evidence-based urban policymaking.

To address this need, the present study develops a practical, data-driven framework for assessing the maturity and effectiveness of municipal digital public services. The research constructs a composite E-Government Maturity and Performance Index (EGMPI) based on observable and quantifiable service indicators derived from publicly available city-level information. Rather than treating measurement as an abstract statistical exercise, the index is designed as a practical managerial diagnostic tool that supports benchmarking, identifies performance gaps, and informs strategic decision-making.

Empirically, the study applies the framework to eleven cities in Armenia, a post-Soviet transition economy where municipalities face both digitalization pressures and resource constraints. By combining quantitative assessment with governance interpretation, the paper aims to bridge the gap between digital technology adoption and actionable public management insights.

This study makes three main contributions to the e-government and urban governance literature. First, it introduces a replicable city-level measurement framework that complements existing national e-government indices and enables within-country comparative analysis. Second, it empirically links digital service availability to governance performance outcomes through a structured diagnostic framework, demonstrating that institutional capacity matters more than technological sophistication. Third, it provides evidence-based policy recommendations and a practical roadmap to guide low-cost digital modernization in resource-constrained urban administrations.

Beyond its empirical focus, this study also contributes to several ongoing debates in the international literature on digital governance and urban public administration. First, it engages with research on urban governance capacity and territorial inequality by examining how digital public service maturity varies across municipalities within a single national context. Second, the findings speak to the literature on metropolitan advantage and urban digital divides, illustrating how larger cities tend to concentrate digital administrative capacity while smaller municipalities face structural constraints. Third, the results contribute to discussions on symbolic versus functional compliance in public sector reforms, demonstrating how transparency-oriented digital initiatives often precede deeper transformations in administrative efficiency and service integration. In this sense, the Armenian case provides evidence from a transition economy that helps refine existing interpretations of digital government development and challenges resource-deterministic accounts that attribute digital progress primarily to financial capacity rather than institutional governance capability.

The remainder of this article is structured as follows. Section 2 reviews the relevant literature on digital governance and e-government maturity frameworks. Section 3 presents the research methodology and the construction of the EGMPI. Section 4 reports the empirical findings based on the analysis of Armenian municipalities. Section 5 discusses the results in relation to international evidence and policy frameworks for digital transformation. Finally, Section 6 concludes with key policy recommendations and implications for digital governance in transition economies.

2. Digital Public Services and Urban Governance

2.1. Digitalization of Municipal Service Delivery

Digital transformation has become a central element of contemporary urban governance. Within smart city agendas, municipalities increasingly rely on information and communication technologies (ICTs) to modernize administrative processes, expand service accessibility, and enhance transparency [15,16]. Online permits, electronic tax payments, digital procurement platforms, and integrated citizen portals are now widely adopted as mechanisms to simplify interactions between local governments and residents.

At the operational level, digital public services are expected to reduce transaction costs, shorten processing times, and improve administrative efficiency [17,18]. By automating routine procedures and standardizing workflows, municipalities can reallocate human resources toward higher-value activities while offering more convenient and responsive services to citizens. Consequently, digitalization is frequently framed as a practical solution to long-standing inefficiencies in local public administration.

However, empirical evidence demonstrates that the introduction of technology alone does not guarantee performance improvements. Numerous digital initiatives result in underutilized platforms, fragmented systems, or limited citizen uptake [19]. These outcomes suggest that service effectiveness depends not only on technological infrastructure but also on organizational design, managerial capacity, and institutional coordination. While these operational benefits are well-documented, their realization depends on factors beyond technology, as discussed next.

2.2. From Technology Adoption to Governance Performance: A Conceptual Shift

Recent scholarship on digital governance increasingly emphasizes that e-government should be understood as a governance reform rather than a purely technical upgrade [20,21]. Digital tools create value only when they are embedded within appropriate administrative processes, accountability mechanisms, and citizen-oriented service strategies. In this perspective, digitalization represents a managerial capability that enables better decision-making, improved information flows, and stronger public trust.

Studies on public value creation and digital governance argue that successful digital transformation requires leadership commitment, cross-departmental collaboration, and continuous performance monitoring [22,23]. Without these institutional conditions, technological investments may produce symbolic modernization rather than substantive improvements. This distinction is particularly relevant for municipalities, where limited resources and capacity constraints often restrict the effective implementation of digital solutions.

Moreover, the relationship between digital services and governance outcomes is mediated by contextual factors such as organizational maturity, financial capacity, and local demand characteristics [24]. Smaller or resource-constrained cities may face difficulties sustaining complex systems, even when technologies are formally available. As a result, understanding digital government through a governance lens becomes critical for evaluating its real-world impact. This governance perspective necessitates appropriate measurement approaches, which are examined in the following section.

2.3. Measuring E-Government Maturity: Existing Frameworks and Limitations

To assess digital progress, several international organizations and researchers have developed composite indicators and maturity models. Prominent examples include the UN E-Government Development Index (EGDI), the OECD Digital Government Index, and various national-level digital readiness benchmarks and public sector innovation scorecards [25,26]. These frameworks provide valuable cross-country comparisons and highlight broad trends in digital adoption.

Nevertheless, most existing measurement approaches focus predominantly on macro or national scales. While useful for policy benchmarking, they offer limited actionable insights for municipal decision-makers responsible for day-to-day service provision and operational governance. City-level administrations require more granular and operational tools that capture how digitalization affects concrete service processes such as applications, payments, feedback mechanisms, and transparency practices [27,28].

Furthermore, many maturity models emphasize technological infrastructure—such as connectivity or platform sophistication—rather than service effectiveness and governance outcomes. This emphasis risks overlooking the managerial and institutional dimensions that ultimately determine whether citizens experience tangible improvements [29]. Consequently, there remains a need for practical measurement frameworks that integrate digital availability with performance and accountability considerations. These measurement challenges are particularly pronounced in certain contexts, as explored below.

2.4. Digital Governance Challenges in Transition Economies

The limitations of existing approaches are particularly acute in transition and resource-constrained economies. Municipal governments in such contexts often operate under tight budgets, evolving institutional structures, and uneven administrative capacities [30,31]. While digital tools may offer opportunities for leapfrogging traditional bureaucratic stages, their implementation frequently encounters financial, technical, and organizational barriers.

In these environments, effective digital transformation depends less on sophisticated technologies and more on pragmatic, low-cost, well-coordinated managerial interventions, including process simplification, staff training, and incremental service redesign [32]. Therefore, evaluation frameworks must prioritize practicality and usability, enabling local governments to identify achievable improvements rather than pursue complex technological solutions.

Despite growing interest in smart city initiatives, systematic evidence on municipal e-government performance in transition contexts remains scarce [33]. This gap limits the ability of policymakers to design targeted interventions and allocate resources efficiently.

2.5. Research Gaps and Study Positioning

Taken together, the literature review reveals three critical gaps that this study addresses.

First, existing studies often conflate digital adoption with performance outcomes, assuming that technology implementation automatically leads to service improvements.

Second, measurement frameworks are predominantly designed for national rather than municipal assessment, limiting their utility for local decision-makers.

Third, many assessments prioritize technical infrastructure readiness over governance effectiveness and citizen-oriented service delivery.

Addressing these limitations requires developing a city-level, governance-oriented evaluation framework that combines observable service indicators with practical managerial interpretation. Accordingly, this study develops a composite diagnostic framework designed to assess both the maturity and effectiveness of digital public services at the municipal level, with particular attention to resource-constrained contexts. By focusing on measurable service characteristics and linking them to governance performance outcomes, the proposed approach seeks to support evidence-based decision-making and generate actionable policy improvements for urban administrations.

3. Methodology

3.1. Research Design

This study adopts a quantitative yet governance-oriented research design to evaluate the maturity and effectiveness of municipal digital public services. Rather than developing a purely technical or infrastructure-based assessment, the analysis focuses on observable service characteristics that directly affect administrative performance, transparency, and citizen interaction. This approach treats e-government not simply as a technological system but as a managerial capability embedded within everyday municipal operations [34,35].

Accordingly, the evaluation framework emphasizes practical and measurable indicators that reflect how digital tools support service delivery outcomes. The objective is not to construct a complex statistical model but rather to develop a practical diagnostic instrument that can be readily interpreted and applied by local decision-makers and municipal managers.

3.2. Study Context and Sample Selection

The empirical analysis focuses on Armenia, a post-Soviet transition economy where municipal governments have undertaken gradual digital transformation initiatives as part of broader public sector modernization efforts. The study examines eleven cities representing all major urban municipalities with administrative status, providing comprehensive coverage of the country’s municipal governance landscape.

These cities vary considerably in population size (ranging from approximately 17,000 to over 1 million inhabitants), budgetary capacity, and administrative resources, providing sufficient heterogeneity for meaningful comparative analysis. The sample includes both the capital city (Yerevan) and secondary urban centers, enabling assessment of digital maturity across different scales of municipal governance.

Data were collected during the first quarter of 2024 through systematic review of official municipal websites, digital service platforms, and publicly available administrative documents. This time-bound approach ensures consistency and comparability across cases.

3.3. Unit of Analysis and Data Sources

The unit of analysis is the municipality (city). Each city is assessed individually based on publicly available information obtained from official municipal websites, digital portals, and administrative disclosures. This strategy ensures methodological transparency, replicability, and cross-case comparability, while avoiding reliance on subjective assessments, expert opinions, or internally restricted data [36].

All indicators are derived from verifiable and observable sources, including:

• Official municipal service portals and e-government platforms;
• Online application and payment systems;
• Public budget documents and procurement disclosures;
• Citizen interaction tools (feedback forms, online consultations, digital contact channels);
• Official statistical records and administrative databases for demographic and financial variables.

3.4. Indicator Rationale and Conceptual Justification

Consistent with governance-oriented digital transformation research and public value creation frameworks [37,38], indicators were selected to capture four core dimensions of municipal e-government performance that reflect both service availability and institutional effectiveness:

Digital Service Availability—the extent to which services are accessible online; Administrative Efficiency—the simplification and digitization of administrative procedures; Transparency and Accountability—public access to information and open data practices; Citizen Interaction and Participation—mechanisms enabling two-way communication and civic engagement.

These dimensions reflect managerial and institutional effectiveness rather than purely technological sophistication.

Table 1. Indicators used to assess municipal e-government maturity and performance.

Dimension	Indicator	Full Description	Measurement Approach	Data Source
Digital Service Availability	Number of Online Municipal Services	Total number of public services that can be fully accessed or initiated through the official municipal digital portal	Simple count of services	Official municipal website or service portal
Digital Service Availability	Availability of Electronic Payment	Whether citizens can complete payments for taxes, fees, or services using electronic or online methods	Binary value: 0 = No, 1 = Yes	Official municipal website or payment platform
Digital Service Availability	Online Application Forms	Number of administrative services that allow citizens to submit applications entirely online without physical presence	Simple count of services	Official municipal website or service portal
Administrative Efficiency	Downloadable Administrative Forms	Number of official forms or documents that can be downloaded electronically for administrative procedures	Simple count of forms	Official municipal website
Transparency and Accountability	Open Data Portal Availability	Presence of a dedicated section providing open or reusable public datasets	Binary value: 0 = No, 1 = Yes	Official municipal website
Transparency and Accountability	Public Budget Disclosure	Whether the municipality publishes annual budgets or financial reports online for public access	Binary value: 0 = No, 1 = Yes	Official municipal website or financial reports
Transparency and Accountability	Public Procurement Information	Publication of tenders, contracts, or procurement announcements on the official website	Binary value: 0 = No, 1 = Yes	Official municipal website or procurement portal
Citizen Interaction	Digital Feedback or Complaint Mechanism	Availability of an online form that allows citizens to submit feedback, complaints, or service requests electronically	Binary value: 0 = No, 1 = Yes	Official municipal website
Citizen Interaction	Number of Digital Contact Channels	Total number of digital communication methods available to citizens, such as email, chat, chatbot, or social media accounts	Simple count of channels	Official municipal website
Citizen Participation	Electronic Participation Tools	Number of online mechanisms that enable civic participation, such as consultations, petitions, or public hearings	Simple count of tools	Official municipal website
Institutional Capacity	Municipal Population Size	Total number of residents served by the municipality, representing demand for public services	Absolute number of residents	Official national or regional statistics
Institutional Capacity	Municipal Budget Capacity	Total annual municipal budget or revenue indicating financial capacity to support digital services	Annual budget in local currency	Official financial statistics or municipal reports

Note: Binary indicators are coded as 1 (present) or 0 (absent). Count variables reflect the number of available features or services. All indicators are standardized before index construction to ensure comparability.

summarizes the indicators used in the empirical assessment, organized by dimension and measurement approach.

The selection of indicators presented in Table 1 follows a governance-oriented logic rather than a purely technological or infrastructural perspective. Instead of focusing on sophisticated digital architectures or backend systems, the framework emphasizes observable service characteristics that directly affect how citizens interact with municipal administrations. This approach is consistent with research arguing that the value of e-government lies primarily in service outcomes and institutional performance rather than in technical complexity alone [39,40].

The first dimension, digital service availability, captures the basic presence of online administrative functions. The number of accessible services, the existence of electronic payments, and the possibility of fully online applications represent the minimum conditions for meaningful digital access. Without these elements, digital government remains symbolic rather than functional [41]. This distinction is particularly critical in resource-constrained contexts where technology adoption may not translate into actual service improvements.

The second dimension addresses administrative efficiency. Downloadable forms and simplified procedures reduce transaction costs, waiting times, and physical visits to municipal offices. Prior studies show that such operational improvements constitute one of the most immediate and measurable benefits of local digitalization [42]. Moreover, efficiency gains can be achieved with relatively modest technological investments, making this dimension especially relevant for municipalities operating under budget constraints.

Transparency and accountability indicators assess whether digital tools enhance public oversight. The publication of budgets, procurement information, and open data reflects institutional openness and supports trust-building between governments and citizens. Digital government initiatives that fail to strengthen transparency risk reinforcing bureaucratic opacity despite technological upgrades [43,44]. Therefore, transparency indicators serve as critical tests of whether digital transformation supports genuine governance reform or merely technical modernization.

Citizen interaction and participation measures capture the shift from one-way information provision toward two-way communication and civic engagement. Feedback forms, digital contact channels, and online consultation mechanisms enable responsiveness and co-production of services. Contemporary governance models emphasize that effective smart cities require active citizen engagement rather than passive service consumption [45]. This participatory dimension distinguishes mature e-government systems from purely transactional digital platforms.

Finally, institutional capacity indicators, such as population size and municipal budget, are included as contextual control variables. These variables do not represent digital maturity directly but help interpret performance differences across cities. Larger or better-resourced municipalities may face distinct managerial challenges or opportunities, and accounting for these factors improves the explanatory value of the analysis [46].

Taken together, the selected indicators provide a balanced representation of availability, efficiency, transparency, interaction, and institutional readiness. Importantly, all measures are based on publicly verifiable information, ensuring replicability and practical applicability for municipal benchmarking. This design allows the index to function as a managerial diagnostic tool rather than a purely statistical construct.

Because the EGMPI relies on observable service features derived from publicly available municipal information, the index measures the availability and institutionalization of digital public services rather than their direct outcomes. In this sense, “performance” should be interpreted as a proxy for governance capacity and service readiness rather than as a direct measure of service efficiency or user outcomes such as processing time reduction, citizen satisfaction, or corruption reduction. The index therefore captures the structural conditions that enable effective digital governance rather than the realized public value of digital services.

3.5. Index Construction

To facilitate comparison across municipalities, the selected indicators are combined into a composite E-Government Maturity and Performance Index (EGMPI). Because the measures include both binary (presence/absence) and count-based variables with different scales, all values are standardized using min–max normalization to ensure comparability prior to aggregation. This procedure transforms all indicators to a common scale ranging from 0 to 1, enabling their meaningful integration into the composite index.

Formally, the E-Government Maturity and Performance Index for municipality i is calculated as:

EGMPI_i = (1/n) Σ(j = 1…n) S_ij

where S_ij represents the standardized value of indicator j for municipality i, and n denotes the total number of indicators. The resulting index ranges from 0 (lowest maturity) to 1 (highest maturity), with higher scores indicating greater digital service development and governance effectiveness.

In line with the study’s governance-oriented perspective, the index is designed to remain simple, transparent, and easily interpretable. Equal weighting is applied at the indicator level in order to avoid unnecessary methodological complexity and implicit value judgments. Because the four dimensions contain different numbers of indicators, equal indicator weighting implies unequal aggregate weights across dimensions. While alternative weighting schemes (e.g., expert-based or data-driven weights) could be considered, the equal-weight approach ensures transparency, simplicity, and alignment with the study’s practical diagnostic objectives, as recommended in applied public sector performance measurement research [47]. Accordingly, the index should be interpreted not as a technical optimization model but as a practical diagnostic instrument supporting benchmarking and strategic improvement planning.

Because composite indices can be sensitive to methodological choices such as weighting and aggregation structures, a simple robustness check was conducted. In addition to the baseline specification based on equal indicator weights, we constructed a dimension-balanced variant in which indicator scores were first averaged within each dimension and the four dimension scores were then averaged to produce the final index. The comparison indicates that the relative ranking of municipalities and the classification of maturity levels remain largely unchanged, suggesting that the substantive conclusions of the study are not driven by a particular weighting structure but reflect broader patterns in municipal digital governance capacity.

3.6. Analytical Strategy

The empirical analysis follows a straightforward, policy-oriented analytical procedure consisting of three stages.

First, descriptive statistics are calculated for each indicator and municipality to provide a comprehensive overview of digital service provision patterns across the sample. These descriptive results highlight both commonalities and variations in e-government adoption.

Second, cities are ranked according to their composite index scores and grouped into distinct maturity categories (high, medium, low digital readiness) using quartile-based classification to highlight meaningful differences in performance levels. This categorization enables intuitive interpretation and supports practical benchmarking for municipal decision-makers.

Third, bivariate correlations and basic regression analyses are conducted to explore statistical associations between digital maturity scores and key institutional characteristics, such as population size, municipal budget capacity, and administrative resources [48]. This exploratory analysis helps contextualize performance differences and identify potential governance-related determinants of e-government effectiveness.

This stepwise approach prioritizes clarity and interpretability, ensuring that the findings remain accessible and directly relevant to urban policymakers rather than dependent on complex statistical modeling. All analyses are conducted using SPSS 26 and Excel, and detailed descriptive statistics are provided in Supplementary Tables to ensure full transparency and replicability.

4. Results and Analysis

4.1. Overview of Digital Service Provision

The assessment of eleven Armenian cities reveals substantial variation in e-government maturity and digital public service availability.

Table 2. Descriptive Statistics for E-Government Indicators.

Indicator	Min	Max	Mean	Std. Dev.	Cities with Feature
Number of Online Municipal Services	4	20	7.09	4.68	N/A (count variable)
Electronic Payment Availability	0	1	0.36	0.50	4 (36%)
Online Application Forms	1	14	3.91	3.67	N/A (count variable)
Downloadable Administrative Forms	5	28	9.45	6.77	N/A (count variable)
Open Data Portal Availability	0	1	0.09	0.30	1 (9%)
Public Budget Disclosure	0	1	0.64	0.50	7 (64%)
Public Procurement Information	0	1	0.36	0.50	4 (36%)
Digital Feedback Mechanism	0	1	0.55	0.52	6 (55%)
Number of Digital Contact Channels	1	7	3.00	1.73	N/A (count variable)
Electronic Participation Tools	0	5	1.36	1.36	N/A (count variable)

Note: For binary indicators (coded 0/1), “Cities with Feature” indicates the number and percentage of municipalities that have implemented the feature. For count variables, this column is marked N/A.

presents descriptive statistics for all evaluated indicators, highlighting both the current state and the disparity across municipalities.

The data indicate that digital service provision remains uneven across the sample. On average, municipalities offer approximately seven online services (M = 7.09, SD = 4.68), ranging from a minimum of four to a maximum of twenty services. Only four cities (36%) provide electronic payment functionality, suggesting that many residents still rely on traditional payment methods for municipal fees and taxes. Similarly, open data portals—considered a hallmark of transparent digital governance—are present in only one municipality (9%), revealing a significant gap in proactive information disclosure.

Budget disclosure demonstrates relatively stronger performance, with seven cities (64%) publishing annual financial reports online. However, public procurement transparency remains limited, with only four municipalities (36%) making tender and contract information publicly accessible. Digital feedback mechanisms are available in six cities (55%), indicating growing recognition of the importance of citizen interaction, though their actual utilization and responsiveness require further investigation.

Downloadable administrative forms are more widely available (M = 9.45 forms per city), reflecting a basic level of digitalization that reduces the need for physical visits to municipal offices. The number of digital contact channels varies considerably (M = 3.00, SD = 1.73), with larger cities typically offering more diverse communication options including email, chatbots, and social media accounts.

These descriptive patterns suggest that while most cities have initiated some form of digital transformation, the depth and comprehensiveness of e-government implementation differ substantially, particularly in advanced features such as electronic payments, open data, and participatory tools.

4.2. E-Government Maturity Index Scores and Municipal Rankings

To enable systematic comparison and identify performance clusters, the EGMPI was calculated for each city using standardized indicator values.

Table 3. E-Government Maturity Index Scores and Rankings.

Rank	City	Population (2024)	Budget (Million AMD)	EGMPI Score	Maturity Category
1	Yerevan	1,136,300	47,000	1.000	High
2	Gyumri	114,800	5800	0.622	High
3	Vanadzor	78,400	3900	0.572	High
4	Abovyan	50,600	2400	0.513	Medium
5	Vagharshapat	44,837	2100	0.259	Medium
6	Kapan	33,100	1800	0.155	Medium
6	Charentsavan	23,900	1200	0.155	Medium
8	Artashat	24,600	1250	0.144	Medium
9	Hrazdan	49,400	2200	0.094	Low
10	Armavir	29,800	1500	0.024	Low
11	Masis	25,300	1300	0.000	Low

Note: EGMPI scores range from 0 (lowest maturity) to 1 (highest maturity). Population figures are based on official 2024 statistics. Municipalities are classified into maturity categories using quartile thresholds derived from the distribution of the eleven EGMPI scores. Cities above the third quartile are categorized as High maturity, those between the first and third quartiles as Medium maturity, and those below the first quartile as Low maturity. Boundary values are assigned to the higher category to ensure consistent classification. Cities with identical index scores share the same rank.

presents the complete ranking of municipalities according to their composite scores.

The results reveal a pronounced concentration of digital capacity at the top of the distribution. Yerevan achieves a perfect score (EGMPI = 1.000), reflecting its status as both the capital and the most resourced municipality. The second and third-ranked cities—Gyumri (0.622) and Vanadzor (0.572)—are Armenia’s second and third-largest urban centers, demonstrating that population size and administrative capacity correlate with digital service maturity.

However, the gap between the top performer and the rest of the sample is substantial. Seven of the eleven cities score below 0.260, indicating that the majority of municipalities remain in early or intermediate stages of digital transformation. Abovyan (0.513) represents an interesting case, achieving a medium-high score despite being the fourth-largest city, suggesting that organizational priorities and managerial commitment—combined with its proximity to the capital—may facilitate digital development.

At the lower end of the distribution, three cities (Hrazdan, Armavir, and Masis) score below 0.100, revealing minimal digital service availability and limited online interaction mechanisms. These municipalities exhibit characteristics typical of low digital readiness: absence of electronic payments, limited transparency disclosures, and minimal citizen engagement tools. Notably, Hrazdan’s low performance is particularly striking given its relatively large population (49,400), suggesting that population size alone does not guarantee digital progress without appropriate governance capacity.

The distribution of EGMPI scores across the sample exhibits high variability (M = 0.322, SD = 0.314, Median = 0.155), confirming that digital governance development in Armenian cities is highly uneven. This heterogeneity provides a valuable opportunity for comparative learning and targeted policy interventions.

4.3. Comparative Analysis by Maturity Level

To better understand the distinguishing characteristics of high, medium, and low performers, municipalities were grouped according to their maturity category.

Table 4. Average Performance Indicators by Maturity Category.

Category	N	Mean EGMPI	Avg. Online Services	E-Payment (%)	Budget Disclosure (%)	Feedback Mechanism (%)	Avg. Population	Avg. Budget (Million AMD)
High	3	0.731	12.67	100%	100%	100%	443,167	18,900
Medium	5	0.245	5.20	20%	80%	60%	35,407	1750
Low	3	0.039	4.67	0%	0%	0%	34,833	1667

Note: E-Payment, Budget Disclosure, and Feedback Mechanism columns represent the percentage of cities within each category that have implemented these features.

summarizes key performance metrics across these groups.

High-maturity cities demonstrate comprehensive digital service ecosystems. On average, they provide more than twice as many online services (12.67) compared to medium-maturity cities (5.20) and nearly three times as many as low-maturity cities (4.67). All high-maturity municipalities offer electronic payment options and maintain active feedback mechanisms, indicating a commitment to both transactional efficiency and citizen responsiveness.

Medium-maturity cities present a mixed profile. While 80% publish budget information and 60% maintain digital feedback channels, only 20% (one city—Abovyan) offers electronic payments—a critical feature for genuine service digitalization. These cities appear to have prioritized transparency and basic interaction over transactional functionality, possibly reflecting technical capacity constraints or strategic choices. The relatively strong performance in budget disclosure suggests that external accountability pressures and donor-supported open government initiatives have had some impact.

Low-maturity cities exhibit uniformly minimal digital presence. None provide electronic payments or publish budget information online, and feedback mechanisms are entirely absent. Their digital infrastructure is limited to basic informational websites with few interactive or transactional capabilities. Critically, these cities do not differ dramatically from medium-maturity municipalities in population size (34,833 vs. 35,407) or budget (1667 vs. 1750 million AMD), suggesting that institutional and managerial factors—rather than resources alone—drive digital performance.

The population and budget differences across categories are substantial: high-maturity cities average 443,167 residents and budgets of 18.9 billion AMD, compared to approximately 35,000 residents and 1.7 billion AMD for both medium and low-maturity cities. However, these figures are heavily influenced by Yerevan’s dominance (population 1,136,300), and the similar resource profiles of medium and low performers reinforce the conclusion that governance capacity matters more than financial resources at lower performance levels.

4.4. Dimensional Performance Analysis

E-government effectiveness depends not only on overall maturity but also on balanced development across governance dimensions.

Table 5. Performance Across E-Government Dimensions.

Dimension	Mean Score	Std. Deviation	Minimum	Maximum
Digital Service Availability	0.260	0.333	0.000	1.000
Administrative Efficiency	0.194	0.294	0.000	1.000
Transparency & Accountability	0.364	0.348	0.000	1.000
Citizen Interaction & Participation	0.384	0.316	0.000	1.000

Note: Scores are calculated as the mean of standardized indicators within each dimension. Scores range from 0 to 1.

presents mean performance scores for each of the four conceptual dimensions assessed in this study.

The dimensional analysis reveals that Armenian municipalities perform relatively better in citizen interaction and participation (M = 0.384) and transparency and accountability (M = 0.364) compared to digital service availability (M = 0.260) and administrative efficiency (M = 0.194). This pattern suggests that cities have prioritized communication channels and information disclosure over functional service digitalization and process optimization.

The relatively stronger performance in transparency may reflect external pressures from civil society organizations, international donor programs, and national-level reforms promoting open government practices. Armenia’s participation in the Open Government Partnership (OGP) and various e-governance initiatives has likely encouraged municipalities to prioritize budget and procurement disclosure, even when other digital capacities remain underdeveloped.

Similarly, the emphasis on citizen interaction tools—such as feedback forms, social media presence, and digital contact channels—indicates growing awareness of participatory governance principles, even if the actual responsiveness and utilization of these tools remain uncertain. Social media adoption, in particular, appears to be a low-cost entry point for municipal digital engagement.

Conversely, the lower scores in digital service availability and administrative efficiency point to persistent challenges in operationalizing e-government. Implementing fully online services and electronic payment systems requires not only technological infrastructure but also process redesign, staff training, backend system integration, and sustained maintenance—capabilities that many municipalities lack. The particularly low efficiency score (0.194) suggests that most cities have not yet leveraged digital tools to systematically streamline administrative procedures.

The high standard deviations across all dimensions (ranging from 0.294 to 0.348) confirm substantial inter-city variation, reinforcing the conclusion that digital transformation trajectories in Armenian cities are highly differentiated rather than uniform.

4.5. Relationship Between Digital Maturity and Institutional Capacity

To explore whether digital performance is primarily driven by resource availability or other governance factors, correlation and regression analyses were conducted. The results are summarized below.

Correlation Analysis:

• EGMPI vs. Population: r = 0.764 (p < 0.01)
• EGMPI vs. Municipal Budget: r = 0.773 (p < 0.01)

Both population size and budget capacity exhibit strong positive correlations with e-government maturity, suggesting that larger and better-resourced cities tend to achieve higher digital performance. These relationships are statistically significant and align with expectations that institutional capacity facilitates digital transformation.

However, several observations qualify this interpretation. First, the correlation coefficients, while strong, are not deterministic. Detailed examination of individual cases reveals that some cities with similar budgets and populations exhibit markedly different EGMPI scores. For instance:

Hrazdan (population 49,400, budget 2200 million AMD, EGMPI = 0.094) significantly underperforms compared to Abovyan (population 50,600, budget 2400 million AMD, EGMPI = 0.513), despite nearly identical resource profiles. This 5.5-fold performance gap suggests substantial differences in organizational culture, technical expertise, or leadership commitment.

Vagharshapat (EGMPI = 0.259), despite its historical significance as Armenia’s spiritual center and relatively stable budget, achieves only medium-level digital maturity, indicating that traditional administrative structures may resist digital transformation.

Second, the presence of Yerevan—an extreme outlier in both size (10× larger than Gyumri) and resources—substantially influences these correlations. When Yerevan is excluded from the analysis, the correlation between EGMPI and budget drops to r = 0.631, and the relationship with population weakens to r = 0.614, though both remain statistically significant. This suggests that while resources matter, they do not fully explain performance variation among secondary cities.

Third, several smaller cities demonstrate respectable performance in specific dimensions, particularly transparency and citizen interaction, which can be enhanced through low-cost interventions such as website updates, social media engagement, and basic data disclosure. Conversely, some relatively well-resourced cities underperform, suggesting possible deficiencies in digital strategy, staff capacity, or inter-departmental coordination.

Taken together, these findings support a nuanced interpretation: institutional capacity provides an enabling foundation for digital transformation, but governance quality, strategic vision, and managerial coordination determine whether resources translate into effective e-government outcomes.

4.6. Key Findings and Performance Gaps

The empirical analysis yields several key findings with direct implications for urban digital governance policy in Armenia:

Finding 1: Digital maturity is highly concentrated. Three cities (27% of the sample) account for the vast majority of advanced digital features, while the remaining eight municipalities lag significantly behind. This concentration risk suggests that national-level digital government initiatives may inadvertently widen the urban digital divide unless targeted support is provided to smaller cities.

Finding 2: Transactional services lag behind informational functions. While many cities maintain informational websites and social media presence, only 36% offer electronic payments, and fully online applications remain rare outside the top three cities. This indicates that municipalities have successfully adopted low-complexity digital tools but struggle with integrating transactional systems that require backend process redesign and sustained technical support.

Finding 3: Transparency outperforms efficiency. Cities perform better in publishing budget and procurement information (64% and 36% respectively) than in streamlining administrative procedures (average efficiency score 0.194). This pattern may reflect the influence of external accountability pressures and international reform programs, but it also suggests that digital government is being implemented in a compliance-driven rather than service-improvement-driven manner.

Finding 4: Resource constraints are significant but not deterministic. While population and budget correlate strongly with digital maturity (r ≈ 0.77), the relationship is not absolute. The dramatic performance gap between Hrazdan (EGMPI = 0.094) and Abovyan (EGMPI = 0.513)—despite virtually identical resources—demonstrates that strategic focus and organizational capacity can produce vastly different outcomes. Several smaller cities show that targeted improvements in transparency and citizen interaction can be achieved with modest investments.

Finding 5: Institutional readiness gaps are pervasive. Many low-performing cities exhibit not only technological deficits but also fundamental organizational weaknesses, including absence of dedicated IT personnel, lack of digital strategy documents, limited staff capacity for system maintenance, and weak coordination between IT units and service departments. Addressing these governance gaps is a prerequisite for meaningful digital transformation.

Finding 6: Proximity to the capital may confer advantages. Cities in the Kotayk province near Yerevan (Abovyan, Charentsavan) demonstrate relatively better performance than might be predicted by population alone, possibly benefiting from knowledge spillovers, technical support networks, and access to specialized expertise concentrated in the capital region.

These findings underscore the need for differentiated policy approaches that recognize the heterogeneity of municipal capacities and prioritize achievable, low-cost improvements over ambitious but unsustainable technological investments. For smaller municipalities, focusing on basic transparency measures, social media engagement, and incremental process improvements may yield better returns than attempting to replicate comprehensive e-government systems deployed in Yerevan.

5. Discussion and Policy Implications

5.1. Introduction

The empirical findings presented in Section 4 reveal substantial variation in e-government maturity across Armenian municipalities, with index scores ranging from 0.000 (Masis) to 1.000 (Yerevan). This section interprets these results in light of existing scholarship on digital governance, public service delivery, and institutional capacity in transition economies.

The discussion focuses on five key themes emerging from the analysis: the persistent centralization of digital capacity, the governance–technology gap, the relationship between resource constraints and institutional readiness, strategic pathways for low-maturity municipalities, and policy frameworks for sustainable digital transformation. By situating the empirical findings within broader theoretical debates and international evidence, the section highlights several governance-related mechanisms that may help explain observed differences in municipal digital performance. These insights provide a basis for practical recommendations aimed at municipal administrators, national policymakers, and international development partners.

5.2. Centralization of Digital Capacity: The “Metropolitan Advantage”

The empirical results reveal a pronounced metropolitan concentration of digital capacity. Yerevan (EGMPI = 1.000), Gyumri (0.622), and Vanadzor (0.572)—the three largest cities in Armenia—represent all cases categorized as “High maturity,” while smaller municipalities are concentrated in the Medium (n = 5) and Low (n = 3) maturity groups.

Statistical analysis further provides empirical support for this pattern. Strong positive correlations are observed between the EGMPI and both municipal population size (r = 0.764, p < 0.01) and municipal budget (r = 0.773, p < 0.01), findings that are consistent with the resource–performance relationship widely documented in previous e-government studies [49,50,51].

These results are also consistent with research conducted in other transition and developing contexts [52,53,54], where capital cities and regional centers tend to benefit from economies of scale, greater fiscal capacity, and improved access to skilled ICT professionals. In Armenia, Yerevan provides a clear example of this pattern: the capital offers universal electronic payment systems, extensive open-data initiatives, and a broad portfolio of online municipal services (20 services). In contrast, smaller municipalities often lack even basic transactional functionalities.

Theoretical Implications: Beyond Resource Determinism

Despite these correlations, resource availability alone does not appear to fully account for the observed variation in digital performance. A particularly illustrative example is the comparison between Hrazdan and Abovyan. Although the two municipalities possess almost identical demographic and fiscal characteristics—Hrazdan (population 49,400; budget 2300 million AMD) and Abovyan (population 50,600; budget 2400 million AMD)—their EGMPI scores differ dramatically: 0.094 versus 0.513. This represents a 5.5-fold performance gap despite nearly equivalent structural resources.

Such discrepancies are consistent with insights from institutional theory [55,56,57], which emphasize that organizational capacity, leadership commitment, and governance practices may mediate the relationship between resources and digital outcomes. In this interpretation, the effectiveness of digital transformation initiatives depends not only on financial inputs but also on the quality of institutional arrangements and managerial decision-making.

Geographic proximity may also represent a relevant contextual factor. Abovyan’s location approximately 20 km from Yerevan may facilitate knowledge spillovers and access to metropolitan digital infrastructure and professional networks. Conversely, Hrazdan’s low score may reflect deeper institutional constraints, including limited strategic planning, insufficient staff training, and weaker inter-departmental coordination. These organizational factors are unlikely to be addressed solely through increased financial allocations.

The broader implication is that digital transformation cannot be interpreted simply as a function of municipal wealth. Rather, the results point to an interaction between resources, governance capacity, and institutional readiness. Smaller municipalities with stronger governance structures may therefore achieve higher levels of digital maturity than larger but less coordinated administrations if they prioritize strategic digitalization, invest in administrative capabilities, and establish clear accountability mechanisms.

5.3. The Governance-Technology Gap: Transparency Leads, Efficiency Lags

5.3.1. Dimensional Performance Disparities

The results presented in Table 5 indicate a notable asymmetry across the four dimensions of the E-Government Maturity and Performance Index. Transparency and Accountability (mean score 0.364 ± 0.348) and Citizen Interaction and Participation (0.384 ± 0.316) show higher average scores than the dimensions related to Administrative Efficiency (0.194 ± 0.294) and Digital Service Availability (0.260 ± 0.333).

This disparity becomes particularly evident when examining specific indicators. While 64% of municipalities publish budget documentation online and 55% provide digital feedback mechanisms for citizens, only 19.4% of administrative forms are available in digital format, and merely 36% of municipalities offer electronic payment options. These results suggest that Armenian municipalities have made relatively greater progress in transparency-oriented initiatives than in the development of fully functional digital public services.

5.3.2. Interpretation: Symbolic vs. Functional Digitalization

This pattern may reflect a form of symbolic compliance in digital governance [58,59]. Municipalities may prioritize visible transparency measures—such as publishing budget reports or institutional documents online—in order to meet national regulatory expectations or international donor requirements. At the same time, the implementation of more complex digital services often occurs more slowly, as these require deeper administrative and technological transformation.

In practical terms, publishing static information on municipal websites is technically simpler and politically less risky than implementing transactional digital services. Systems such as electronic payments, digital licensing, or integrated service portals require substantial organizational and technological changes. These include the integration of administrative databases (for example civil registry, tax, and land cadastre systems), the retraining of municipal staff and redesign of administrative procedures, the establishment of appropriate legal frameworks for digital signatures and liability, and the development of cybersecurity and data protection infrastructure.

5.3.3. Policy Implication: Moving Beyond “Window Dressing”

The findings discussed above suggest that many municipalities remain at the informational stage of digital government development, while fully transactional e-services remain limited. Moving from informational to transactional e-government requires not only technological upgrades but also coordinated institutional reforms and targeted policy support [60,61].

First, backend integration could become a strategic priority. National-level digital infrastructure—such as interoperable digital identity systems, shared data platforms, and cloud-based administrative solutions—can significantly reduce the financial and technical burden faced by individual municipalities. Such shared infrastructure may enable smaller cities to implement digital services without developing complex systems independently.

Second, smaller municipalities may benefit from structured technical assistance. Regional digital support centers or national e-government agencies could provide standardized platforms, technical guidance, and training programs that help local administrations implement digital services more efficiently.

Third, policy incentives could focus on functional outcomes rather than symbolic digitalization. Performance-based fiscal transfers or targeted grants could reward municipalities that successfully implement transactional services such as e-payments, online applications, or integrated service portals.

Finally, regulatory frameworks may need to evolve to support digital governance. Legal reforms addressing digital signatures, online payment systems, and inter-agency data sharing are likely to be important for enabling municipalities to move beyond basic information disclosure toward more fully operational digital public services.

Taken together, these results suggest that high transparency scores may conceal deeper deficits in service efficiency. Meaningful digital transformation is therefore likely to depend on the development of integrated, user-centered services that improve administrative performance rather than merely expanding online information portals.

5.4. Resource Constraints vs. Institutional Readiness: Lessons from Outlier Cases

5.4.1. The Hrazdan Paradox: When Resources Are Not Enough

Hrazdan represents a notable outlier in the empirical analysis. Despite having a population comparable to Abovyan and a municipal budget of approximately 2300 million AMD, the city ranks only ninth in the EGMPI ranking with a score of 0.094. This result falls considerably below what might be expected based on its demographic and fiscal capacity.

Qualitative observations derived from municipal websites, citizen feedback portals, and regional administrative reports suggest that this underperformance may be associated with institutional and governance-related constraints rather than resource scarcity alone. Several structural factors appear likely to influence Hrazdan’s digital governance capacity.

First, the municipality does not appear to maintain a clearly articulated strategic vision for digital governance. No publicly available digital transformation roadmap or clearly defined information technology priorities could be identified in publicly accessible sources. Second, digital leadership may be relatively fragmented, as the municipality does not appear to maintain a designated Chief Information Officer or a centralized digital governance coordinator capable of overseeing digital initiatives across administrative departments.

Third, existing digital initiatives appear to be implemented in a relatively ad hoc manner. For example, the presence of municipal social media channels or isolated digital communication tools does not appear to be embedded within a broader institutional strategy for service digitalization. Finally, staff capacity constraints may represent an additional barrier. Limited professional training in digital administration and relatively low levels of ICT literacy among frontline employees may further constrain the effective implementation of digital services.

These observations are consistent with existing research on organizational readiness for digital transformation. Studies in public administration suggest that technology adoption often depends not only on financial resources but also on shared strategic vision, leadership commitment, employee engagement, and effective interdepartmental coordination. Such institutional conditions are frequently reported as underdeveloped in hierarchical municipal administrations characteristic of many post-Soviet governance systems [62,63].

5.4.2. The Abovyan Success Story: Managerial Capacity in Action

In contrast to Hrazdan, the municipality of Abovyan provides an example of how managerial capacity and strategic governance may contribute to more effective digital service development. With an EGMPI score of 0.513, Abovyan ranks among the stronger performers despite possessing demographic and fiscal characteristics comparable to several lower-performing municipalities.

Several governance-related factors may help explain this relatively strong performance. First, the municipality has developed a centralized digital service portal that allows residents to submit applications, make payments, and track administrative requests through a single platform. Such an integrated approach may reduce administrative fragmentation and improve service accessibility.

Second, Abovyan has implemented e-participation tools intended to strengthen citizen engagement. Online surveys, public consultations, and digital platforms for discussing municipal budget priorities allow residents to participate more directly in local decision-making processes.

Third, the city appears to benefit from its geographic proximity to Yerevan, which provides access to a broader digital ecosystem that includes IT service providers, professional training opportunities, and metropolitan digital infrastructure. These external linkages may facilitate knowledge transfer and technological diffusion from the capital to nearby municipalities.

Finally, municipal leadership appears to have demonstrated a strategic commitment to digital governance. Digital service development has been incorporated into municipal planning documents, and dedicated personnel appear to be responsible for ICT-related initiatives.

Taken together, the case of Abovyan suggests that managerial agency and institutional coordination may partially compensate for resource constraints. In this sense, the municipality illustrates how governance practices can support digital progress even in relatively modest administrative environments. This interpretation is consistent with contingency theory [64], which emphasizes that organizational performance depends on the alignment between strategy, organizational structure, and environmental conditions.

5.4.3. Policy Implications: Capacity Building as Core Strategy

The comparison between Hrazdan and Abovyan suggests that institutional readiness and managerial capacity may play an important role in municipal digital transformation. Consequently, policy interventions aimed at strengthening local digital governance may need to focus not only on financial investments but also on institutional capacity building.

First, municipalities may benefit from systematic readiness assessments prior to launching new digital initiatives. Organizational diagnostics—covering leadership commitment, staff competencies, administrative processes, and technological infrastructure—can help identify structural barriers that might hinder successful digitalization efforts.

Second, peer-learning mechanisms could serve as an effective tool for diffusing successful governance practices. Inter-municipal networks and professional forums would enable higher-performing municipalities, such as Abovyan or Charentsavan, to share practical experience with lower-performing cities, including Hrazdan and Masis. Such collaborative platforms may accelerate learning and reduce the risk of fragmented or poorly coordinated digital initiatives.

Third, targeted technical assistance programs may provide additional support for municipalities with limited administrative capacity. National e-government agencies, development organizations, or specialized NGOs could deploy short-term advisory teams to assist local administrations in designing digital strategies, restructuring internal processes, and implementing integrated digital service platforms.

Finally, performance monitoring mechanisms could extend beyond overall index scores. While indicators such as the EGMPI provide valuable benchmarking tools, policymakers may also track intermediate outcomes—such as staff training levels, process redesign efforts, and citizen satisfaction with digital services—in order to evaluate the sustainability of digital governance reforms.

Taken together, these policy implications suggest that institutional readiness may be as important as financial resources in shaping municipal digital performance. For lower-performing municipalities, managerial support, administrative learning, and strategic guidance may therefore complement fiscal investments in promoting digital progress.

5.5. Strategic Pathways for Low-Maturity Municipalities: From “Catch-Up” to “Leapfrog”

5.5.1. The Challenge of Persistent Underdevelopment

The empirical results indicate that three municipalities—Hrazdan (0.094), Armavir (0.024), and Masis (0.000)—remain in the Low maturity category of the EGMPI classification. These municipalities appear to face several structural constraints that limit their ability to implement meaningful digital governance reforms. In particular, they lack electronic payment systems, do not maintain open-data portals, and provide only a minimal number of online services, typically limited to static informational content. In addition, mechanisms for citizen feedback and digital participation remain largely absent.

Taken together, these characteristics suggest the presence of a dual constraint affecting these municipalities: limited financial and technological resources combined with relatively weak institutional capacity for digital governance. Under such conditions, traditional “catch-up” strategies—based on gradual technological upgrades and slow capacity development—may not be sufficient. Incremental progress risks perpetuating the existing digital divide if more advanced municipalities continue to expand their digital infrastructure and service capabilities at a faster pace [65,66].

5.5.2. Leapfrogging Through Shared Platforms and Regional Cooperation

International experience suggests that smaller municipalities can accelerate digital transformation by adopting “leapfrogging” strategies based on shared digital infrastructure and cooperative governance arrangements. Evidence from countries such as Estonia, Uruguay, and Rwanda demonstrates that centralized digital platforms can enable local governments to bypass intermediate stages of technological development and rapidly deploy digital public services [67,68,69].

One important mechanism involves national e-service platforms that provide modular, government-hosted solutions for common administrative functions. Under this model, municipalities can adopt standardized digital services—such as electronic licensing systems, payment gateways, or online application portals—without developing their own custom software. Estonia’s X-Road data exchange infrastructure provides a well-known example of this approach. Through a single interoperable interface, local governments can securely access national databases, including civil registry, health, and tax systems, significantly simplifying digital service implementation.

Shared digital infrastructure also generates substantial cost efficiencies. Studies indicate that centralized or shared digital platforms can reduce municipal information technology expenditures by as much as 70–80 percent compared with standalone municipal systems [70]. For resource-constrained municipalities, such cost savings may represent a decisive factor enabling digital transformation.

Another promising strategy involves the creation of regional digital hubs. Neighboring municipalities can cooperate by jointly procuring information technology services, sharing specialized staff such as Chief Information Officers, and coordinating negotiations with technology vendors. In the Armenian context, municipalities such as Armavir, Artashat, and Masis could potentially form a regional digital consortium, pooling financial resources to develop and operate a common service platform. Such collaborative arrangements can generate economies of scale, reduce technological risks, and facilitate knowledge exchange among participating municipalities.

Cloud-based digital services provide an additional pathway for leapfrogging. By adopting Software-as-a-Service (SaaS) solutions rather than maintaining local servers and infrastructure, municipalities can significantly reduce hardware investments and maintenance costs. Platforms such as Google Workspace or Microsoft 365 can support municipal communication, document management, and administrative collaboration, while specialized SaaS applications can be used for services such as licensing systems or land registry management. Importantly, the pay-per-use structure of cloud-based services allows municipalities to align technology expenditures more closely with actual service demand.

Finally, mobile-first service strategies may be particularly relevant in municipalities with limited broadband penetration. Rather than relying exclusively on complex web-based portals, local governments can prioritize mobile-responsive platforms and SMS-based communication channels. The experience of Kenya’s M-Pesa mobile payment ecosystem illustrates how mobile technologies can enable rapid digital adoption in resource-constrained environments, suggesting potential applications for municipal tax collection, fee payments, and service notifications [71].

5.5.3. Policy Recommendations for National Government

The successful implementation of leapfrogging strategies requires coordinated support at the national policy level. In the Armenian context, national e-government policy may play an important role in enabling municipalities—particularly those with limited administrative capacity—to adopt modern digital governance solutions more rapidly.

First, national authorities could establish clear interoperability standards for municipal information systems. Requiring local government platforms to comply with open data protocols and application programming interface (API) standards would help ensure that municipal systems can communicate effectively with national databases and with each other. Such interoperability may be important for building integrated digital service ecosystems.

Second, targeted financial incentives may help encourage municipalities to adopt cloud-based digital infrastructure. Subsidies, grants, or tax incentives supporting the transition from locally hosted systems to cloud platforms could reduce technological barriers for smaller municipalities. Cloud adoption would allow local administrations to benefit from scalable infrastructure, improved cybersecurity standards, and lower long-term maintenance costs.

Third, the establishment of a dedicated Municipal Digital Services Fund could provide targeted financial support for digital innovation at the local level. Such a fund—potentially supported by national resources, international development partners, or European Union programs—could allocate competitive grants to municipalities proposing innovative digital governance initiatives, particularly in cities currently classified as low-maturity in the EGMPI framework.

Finally, the legal framework governing municipal cooperation may need to be strengthened in order to facilitate regional digital partnerships. Enabling municipalities to form formal consortia for joint IT procurement and shared service delivery would allow smaller cities to pool resources, share technical expertise, and reduce the costs associated with digital transformation.

Taken together, these policy directions suggest that low-maturity municipalities do not necessarily need to replicate the gradual development trajectory of larger cities such as Yerevan or Gyumri. Instead, shared digital platforms, regional cooperation mechanisms, and cloud-based infrastructure may offer faster and more cost-effective pathways toward municipal digital modernization.

5.6. Policy Frameworks for Sustainable Digital Transformation

5.6.1. A Multi-Level Governance Approach

Achieving sustainable e-government maturity may require coordinated action across multiple levels of governance. In transition economies such as Armenia, digital transformation cannot be driven solely by individual municipalities; rather, it depends on the alignment of national strategic frameworks, regional coordination mechanisms, and local implementation capacity.

At the national level, the central government plays an important role in establishing the strategic vision and digital infrastructure necessary for municipal digitalization. A comprehensive national digital transformation strategy could define clear and measurable targets for municipal e-service development, such as increasing the proportion of administrative transactions conducted online within a defined time horizon. In parallel, the development of a unified national e-government portal could enable citizens to access both state and municipal services through a single digital interface, thereby improving accessibility and reducing administrative fragmentation.

Equally important is the establishment of a robust interoperability framework. Technical standards governing data formats, application programming interfaces (APIs), and cybersecurity protocols are important for ensuring that municipal systems can interact effectively with national databases and other government platforms. In addition, national capacity-building initiatives—such as specialized training programs or a “Digital Leaders Academy” for municipal IT managers and administrators—could strengthen the professional competencies required to implement and maintain digital governance systems. Finally, systematic performance monitoring, including the publication of annual municipal digitalization rankings, may enhance transparency and create constructive competitive pressure among municipalities.

At the regional level, coordination mechanisms can facilitate knowledge sharing and resource pooling among municipalities. Regional digital hubs could be considered within each of Armenia’s provinces (marzes), with leading cities such as Gyumri or Vanadzor providing technical assistance, training, and shared services to neighboring municipalities. Regular peer-learning forums for municipal IT staff would allow local governments to exchange best practices, identify common challenges, and collaboratively develop solutions. In addition, regional procurement mechanisms could enable municipalities to negotiate more favorable terms for software licenses, cloud services, and technological infrastructure through collective purchasing arrangements.

At the municipal level, successful digital transformation ultimately depends on local implementation capacity and organizational commitment. Municipal administrations may therefore consider developing medium-term strategic information technology plans aligned with national priorities but adapted to local institutional conditions. Citizen engagement could also be incorporated into service design processes through mechanisms such as online surveys, focus groups, and pilot testing of digital services. Finally, municipalities may adopt an iterative approach to digital service development, initially prioritizing high-demand and relatively low-complexity services before gradually introducing more sophisticated transactional systems. The use of data analytics—including website usage statistics, service uptake indicators, and citizen feedback—can further support evidence-based improvements in municipal digital governance.

5.6.2. Financing Digital Transformation: Beyond Budget Constraints

Financing digital transformation at the municipal level remains a significant challenge, particularly for cities classified as low maturity in the EGMPI framework. However, limited municipal budgets do not necessarily prevent digital modernization if alternative financing mechanisms are effectively mobilized.

One potential source of support is international development funding. Programs such as the European Union’s Neighbourhood initiatives, the World Bank’s Digital Development Partnership, and USAID digital governance projects frequently provide grants and technical assistance aimed at strengthening public sector digital capacity. Armenian municipalities could actively engage with such programs to secure funding for pilot digital services, infrastructure upgrades, or administrative capacity-building initiatives.

Public–private partnerships (PPPs) represent another viable financing model. Under such arrangements, municipalities may collaborate with private technology firms to design, implement, and maintain digital service platforms. In return, private partners may receive transaction-based compensation or revenue-sharing arrangements linked to the use of digital services. This approach can reduce upfront public investment while enabling access to specialized technological expertise.

For larger municipalities with relatively stable fiscal positions, municipal bond instruments could also serve as a mechanism for financing digital infrastructure projects. Cities such as Gyumri or Vanadzor, for example, might consider issuing targeted digital infrastructure bonds to support investments in municipal data platforms, service portals, or cybersecurity systems.

Finally, municipalities may explore modest user-fee models for certain digital services. Charging nominal fees for premium services—such as expedited administrative processing or certified electronic documents—could create partial revenue streams that help sustain digital service platforms while maintaining broad public accessibility.

Taken together, these financing mechanisms demonstrate that municipal digital transformation is not solely dependent on traditional budgetary allocations. By combining international funding, private-sector partnerships, innovative financing instruments, and limited service-based revenues, municipalities can diversify their financial resources and support long-term digital governance development.

5.6.3. Institutional Reforms: Addressing the Governance Deficit

The empirical findings presented in this study indicate that technological investments alone cannot compensate for institutional weaknesses in municipal governance. Sustainable digital transformation therefore requires a broader set of institutional reforms that strengthen administrative capacity, governance accountability, and regulatory frameworks.

One critical area concerns the modernization of the municipal civil service. Local governments need to recruit personnel with strong digital and information technology competencies, while also creating professional development opportunities for existing staff. Competitive compensation schemes and clearly defined career paths for digital specialists within local administrations could help municipalities attract and retain qualified ICT professionals.

A second reform area relates to performance incentives within the municipal governance system. Linking certain budget allocations or development grants to measurable e-government performance indicators—such as improvements in EGMPI scores or citizen satisfaction with digital services—could encourage municipalities to prioritize meaningful digital transformation rather than symbolic digital initiatives.

Strengthening anti-corruption safeguards is also essential. While transparency measures such as open procurement systems and online budget disclosure improve public oversight, they must be complemented by effective enforcement mechanisms, including independent audits, monitoring procedures, and sanctions for administrative misconduct. Without such safeguards, digital transparency tools risk becoming largely symbolic rather than substantively transformative.

Finally, legal frameworks governing municipal administration should be updated to support digital-by-default service delivery models. Regulatory provisions allowing municipalities to accept online applications, process electronic documentation, and implement automated administrative procedures can significantly accelerate digital service adoption. For example, administrative rules that automatically accept online applications unless explicitly rejected within a defined time frame may help streamline bureaucratic processes and reduce administrative delays.

Taken together, these reforms highlight that digital transformation in municipal governance should be understood as a socio-technical process rather than a purely technological upgrade. Successful digital governance requires the alignment of technological infrastructure, organizational capacity, legal frameworks, and citizen engagement. Without such systemic reforms, isolated information technology projects are unlikely to produce lasting improvements in public service delivery.

5.7. Theoretical Contributions and Generalizability

5.7.1. Advancing E-Government Theory in Transition Contexts

Our study builds on established e-government development and maturity frameworks in the literature [72,73,74,75], which conceptualize digital government progress through stages of technological integration, institutional readiness, and service delivery capacity. While these models have significantly advanced the understanding of national e-government evolution, their application at the municipal level—particularly in transition economies—remains limited. Addressing this gap, the present research contributes to existing theoretical approaches by introducing a governance-oriented analytical perspective and a city-level diagnostic framework.

First, the study disaggregates national e-government assessments into a municipal-level analytical framework, thereby revealing substantial intra-country disparities that are often obscured by national averages. This approach highlights how local institutional conditions may shape the uneven territorial development of digital public services.

Second, the research places greater emphasis on governance-related dimensions—such as transparency, citizen interaction, and institutional coordination—alongside technical indicators. In doing so, the framework aligns with the principles of public value theory [76,77], which emphasize that digital government should be evaluated not only by technological adoption but also by its capacity to enhance accountability, citizen engagement, and service quality.

Third, the empirical findings suggest a mediating role of institutional capacity in the relationship between municipal resources and digital outcomes. This interpretation calls into question strictly resource-deterministic explanations of digital government development and indicates that leadership commitment, administrative capabilities, and strategic governance may play an important role in shaping digital performance.

Finally, the study proposes a replicable and relatively low-cost measurement framework—the EGMPI. By relying on observable service indicators derived from publicly available municipal information, the framework provides a practical diagnostic tool that can be adapted for evaluating digital governance in other transition and developing economies.

5.7.2. Comparative Relevance

The empirical patterns identified in Armenian municipalities resonate with findings reported in other regions characterized by uneven institutional capacity and multi-level governance challenges. In several countries of Central and Eastern Europe, including Poland, Romania, and Bulgaria, previous studies have documented similar patterns of metropolitan concentration in digital government development, where capital cities and major regional centers significantly outperform smaller municipalities in digital service provision and administrative capacity [78,79].

Comparable dynamics are also observed in parts of Latin America. Research on countries such as Ecuador, Peru, and Bolivia indicates the presence of pronounced municipal digital divides, often driven by institutional fragmentation, limited administrative resources, and uneven governance capabilities across local governments [80]. These structural constraints frequently result in uneven digital service development even where national e-government policies are formally established.

A related pattern can be observed in Central Asian contexts, including Kazakhstan and Kyrgyzstan, where resource-rich or economically significant cities sometimes fail to translate financial capacity into effective digital governance outcomes due to weaknesses in institutional coordination, strategic planning, and administrative leadership [81].

Taken together, these comparative insights suggest that the challenges identified in Armenian municipalities are not unique but reflect broader structural patterns observed across transition and developing economies. Consequently, the EGMPI and the policy recommendations proposed in this study may offer a useful analytical and policy framework for similar contexts. With appropriate contextual adjustments—such as modifying indicator weights to account for factors like linguistic diversity, federal governance structures, or conflict-affected environments—the framework can support comparative municipal-level diagnostics in a wide range of institutional settings.

5.7.3. Limitations and Future Research Directions

Despite its contributions, the present study has several limitations that should be acknowledged and addressed in future research. First, the analysis relies on a cross-sectional dataset reflecting municipal digital governance conditions in 2024. While this snapshot provides a useful diagnostic overview, it does not capture temporal dynamics in municipal digital development. Longitudinal studies tracking the evolution of the EGMPI over a period of three to five years would allow researchers to identify patterns of growth, stagnation, or regression in municipal digital governance.

Second, the analytical framework focuses primarily on the supply side of digital public services, assessing what municipalities provide rather than how citizens actually use or value these services. Future research could therefore integrate demand-side indicators—such as web analytics, user satisfaction surveys, and service uptake rates—to develop a more comprehensive understanding of the relationship between digital service provision and citizen engagement.

Third, the quantitative index-based approach adopted in this study does not fully capture the qualitative institutional dynamics that influence municipal digital transformation. Comparative case studies of both high-performing and low-performing municipalities—such as Abovyan and Hrazdan—could provide deeper insights into the organizational and political mechanisms shaping digital governance outcomes, including leadership decisions, administrative culture, and local political incentives.

Finally, future research could expand the analytical scope of the EGMPI framework. Additional indicators might include cybersecurity preparedness, accessibility compliance for persons with disabilities, multilingual service provision, and environmental sustainability dimensions. Moreover, evaluating the impact of Armenia’s forthcoming Digital Governance Strategy on municipal EGMPI scores would provide an important opportunity to assess the effectiveness of national-level digital governance reforms.

5.8. Summary and Bridge to Conclusion

This discussion has demonstrated that the level of e-government maturity across Armenian municipalities is shaped by a complex interaction of resources, institutional capacity, geographic proximity, and governance readiness. While Yerevan, Gyumri, and Vanadzor currently lead in digital service provision, the results also reveal substantial opportunities for smaller municipalities to accelerate their digital development through shared platforms, inter-municipal cooperation, and knowledge transfer.

At the same time, the observed gap between transparency-oriented digital initiatives and efficiency-enhancing service integration indicates that many municipalities remain in an early stage of digital transformation. In several cases, digitalization appears to prioritize visible transparency measures over deeper functional improvements in service delivery. Addressing this imbalance requires moving beyond symbolic digitalization toward more integrated, citizen-centered digital services.

The findings also underline that technological investments alone are insufficient to ensure successful digital governance. Institutional factors—including strategic planning, administrative capacity, staff training, and supportive regulatory frameworks—play an equally critical role in shaping municipal digital performance.

Building on these insights, the following section synthesizes the empirical results into a set of actionable and prioritized policy recommendations for national government institutions, municipal administrations, and international development partners. The conclusion also reflects on the broader implications of the study for public administration scholarship and the future development of digital governance in transition economies.

6. Conclusions and Recommendations

6.1. Summary of Key Findings

This study addressed a critical gap in e-government research: the absence of municipal-level, governance-oriented diagnostic frameworks for transition economies. Through development and application of the EGMPI to eleven Armenian municipalities, we documented substantial digital disparities and identified institutional factors shaping municipal performance.

Our analysis revealed five principal findings:

Pronounced metropolitan concentration: Yerevan (EGMPI = 1.000), Gyumri (0.622), and Vanadzor (0.572) constitute all “High maturity” cases, while smaller municipalities—Hrazdan (0.094), Armavir (0.024), and Masis (0.000)—remain in early digitalization stages.

Resources matter, but institutions matter more: Strong correlations exist between EGMPI and population (r = 0.764) and budget (r = 0.773), yet the 5.5-fold performance gap between Hrazdan and Abovyan (despite identical resources) demonstrates that institutional capacity, leadership commitment, and strategic governance mediate resource-performance relationships.

Symbolic compliance over functional transformation: Municipalities emphasize transparency (64% publish budgets online) over efficiency (only 36% offer e-payments), revealing a tendency toward visible but low-impact digital features while avoiding complex backend integration.

Geographic advantages: Proximity to Yerevan provides knowledge spillovers, as evidenced by Abovyan’s and Charentsavan’s strong performance despite modest budgets.

Institutional readiness gaps: Low performers lack strategic IT plans, digital leadership, staff capacity, and inter-departmental coordination—deficits not remedied by budgetary increases alone.

6.2. Theoretical Contributions

This research advances e-government scholarship by: (1) disaggregating national indices into municipal-level granularity, revealing intra-country disparities; (2) prioritizing governance dimensions (transparency, efficiency, citizen interaction) over technology inputs, aligning with public value theory [82]; (3) demonstrating institutional capacity as mediating variable between resources and digital outcomes, challenging resource-deterministic models; (4) providing evidence from a transition economy generalizable to Central & Eastern Europe, Latin America, and Central Asia [83,84,85,86].

The EGMPI offers a replicable, low-cost measurement framework using publicly available data, enabling continuous monitoring by researchers, civil society, and government oversight bodies.

6.3. Policy Recommendations: A Prioritized Roadmap

Sustainable digital transformation requires coordinated multi-level action. We propose ten priority recommendations:

National Level

• Establish a National Shared Municipal E-Services Platform

Develop a cloud-based, modular portal (inspired by Estonia’s X-Road [39]) offering plug-and-play e-licensing, e-payment, and application modules. Target: 80% municipal adoption within 18 months. Cost: €1.5–2 M initial investment; €200–300 k annual maintenance shared across users.

2.

Create a Municipal Digital Transformation Fund

Launch a €3–5 M competitive grant pool prioritizing low-maturity municipalities proposing high-impact, scalable projects. Evaluation criteria: citizen benefit, cost-effectiveness, replicability.

3.

Mandate Interoperability Standards and Digital-by-Default Legislation

Require all municipal IT systems to comply with open APIs and data-sharing protocols. Legislate digital-by-default for administrative services unless explicitly exempted for security reasons.

4.

Establish a Municipal Digital Leaders Academy

6-month executive training program for municipal CIOs and IT managers covering strategic planning, procurement, cybersecurity, and change management. Cohort 1: 30 participants from all cities.

Regional Level

5.

Designate Regional Digital Hubs

In each province, appoint the largest city (e.g., Gyumri, Vanadzor) as a regional hub providing technical support, training, and shared procurement coordination to smaller municipalities. Funding: €100–150 k per hub annually.

6.

Facilitate Regional IT Procurement Consortia

Enable municipalities to jointly tender for shared platforms, reducing per-city costs by 40–50%. Pilot: Armavir, Artashat, Masis form a consortium for common e-service portal and cloud hosting.

Municipal Level

7.

Develop 3-Year Strategic Digital Transformation Plans

Each municipality adopts an IT roadmap with clear vision, priority services, governance structure (designate Chief Digital Officer), and quarterly milestones. National program provides templates.

8.

Prioritize High-Impact, Low-Complexity Quick Wins

Start with downloadable forms, online application submission, SMS notifications, and digital contact directories—services requiring minimal IT investment but delivering visible citizen benefits and building trust for later transactional systems.

9.

Institutionalize Citizen Co-Design and Data-Driven Management

Conduct user surveys and focus groups before service launches; pilot-test with diverse user groups; install web analytics to track uptake rates and continuously refine offerings based on citizen feedback.

Low-Maturity Municipalities (Hrazdan, Armavir, Masis)

10.

Adopt Leapfrogging Strategies

Join national shared platform (Recommendation 1) for rapid service deployment; form regional consortia (Recommendation 6) to hire shared IT coordinators; secure donor funding (EU, World Bank, USAID) for capacity building; implement mobile-first service delivery (SMS reminders, WhatsApp channels) to bypass broadband limitations, inspired by Kenya’s M-Pesa model [87].

6.4. Implementation Enablers

Financing: International donor grants, public–private partnerships, municipal bonds (for larger cities), user fees for premium services.

Institutional reforms: Civil service modernization (recruit IT-savvy staff, competitive salaries), performance-based fiscal transfers linked to EGMPI scores, anti-corruption safeguards (transparent procurement, budget audits).

Overcoming barriers: Maintain offline channels alongside digital services; launch digital literacy campaigns in libraries and community centers; use simple interfaces with multilingual options; build trust through low-risk informational services before transactional systems.

6.5. Broader Implications and Generalizability

Our findings resonate with patterns in Central & Eastern Europe (Poland, Romania), Latin America (Ecuador, Peru), Central Asia (Kyrgyzstan), and Sub-Saharan Africa (Kenya, Rwanda) [88,89,90,91,92]. The EGMPI framework is readily adaptable by adjusting indicator weights to reflect local priorities (e.g., multilingual services in ethnically diverse countries, environmental monitoring in climate-vulnerable regions).

Core insight: Digital transformation is fundamentally a governance challenge, not a technological one. Municipalities struggling with weak accountability or political instability will not achieve sustained digital maturity merely by purchasing software. Conversely, well-governed municipalities with modest resources can leverage shared platforms and regional cooperation to deliver impactful digital services. Implication for donors: Technical assistance must prioritize institutional capacity building—strategic planning, leadership training, process reengineering—alongside IT infrastructure investments.

6.6. Limitations and Future Research

Our cross-sectional 2024 snapshot cannot capture temporal dynamics; longitudinal EGMPI panels tracking municipalities over 5–7 years would reveal growth trajectories and policy intervention effects. The index measures what municipalities offer, not what citizens use or value; demand-side studies integrating web analytics, satisfaction surveys, and impact evaluations (linking digital services to processing times, corruption reduction, citizen trust) would complement our supply-side analysis. Comparative case studies (e.g., Abovyan vs. Hrazdan) would uncover causal mechanisms through interviews with mayors, IT staff, and citizens. Finally, cross-country replication (Georgia, Moldova, Kyrgyzstan) would test framework generalizability.

6.7. Final Reflections

The 5.5-fold performance gap between similar-sized municipalities demonstrates that municipal leaders possess agency: strategic vision and committed governance can overcome resource constraints. Success stories from Estonia (shared platforms), Kenya (mobile leapfrogging), and Uruguay (regional cooperation) prove that inclusive digital modernization is achievable even in resource-scarce contexts [93,94,95].

Digital governance is not a luxury for wealthy capitals—it is a practical necessity for all municipalities seeking responsive, transparent, effective 21st-century administration. With deliberate policy choices, sustained commitment, and collaborative action across national, regional, and municipal levels, even the smallest, resource-constrained cities can deliver meaningful digital public value.

Armenia’s municipal digital transformation journey has begun. This study provides the diagnostic framework and policy roadmap; implementation is the next chapter—one that must be written by policymakers, practitioners, citizens, and scholars working together.