Electronic Government, an International Journal (29 papers in press)

Regular Issues

• Towards an ontological approach to software product line development: a case study of e-banking applications  
  by Nesrine Lahiani, Samir Bettahar, Messaouda Fareh 
  Abstract: Software Product Line (SPL) development has gained popularity in recent years due to its potential to reduce time-to-market and development costs while maintaining quality. However, SPL development still faces significant challenges, such as complexity and variability management. To address these challenges, this paper presents an ontological approach to SPL development that formalizes domain knowledge and provides a common vocabulary for stakeholders to communicate and reason about the development process. The approach is demonstrated using an e-banking case study that involves multiple products with varying requirements and features. The case study shows how the ontological approach can support different activities in SPL development, such as domain analysis, feature modeling, and configuration management. The results demonstrate that the ontological approach can improve the quality and consistency of the SPL development process, reduce the development time and cost, and facilitate better communication among stakeholders. The paper concludes by discussing future research directions and potential applications of the ontological approach in other domains.
  Keywords: software product line; SPL; variability; derivation product; feature model; ontology; e-banking.
  DOI: 10.1504/EG.2025.10066531
   
  
• Improved dingo optimisation-based feature selection with optimal deep learning enabled intrusion detection technique on cloud environment  
  by C. Jansi Sophia Mary C. , K. Mahalakshmi 
  Abstract: Intrusion detection systems (IDSs) in the cloud must manage significant amounts of data, adapt to dynamic environments, and identify unknown and known attack patterns. Cloud-based IDS use behaviour analysis, signature-based detection, machine learning (ML), and anomaly detection methods. Feature selection (FS) methods help find the key patterns or indicators for detecting malicious activities or anomalies in the cloud infrastructure. This study concentrates on designing and developing improved dingo optimisation-based feature selection with optimal deep learning-enabled intrusion detection (IDOFS-ODLID) technique in the cloud environment. The IDOFS-ODLID technique uses FS and hyperparameter tuning strategies to enhance the intrusion detection rate in the cloud environment. In the IDOFS-ODLID technique, IDOFS technique is mainly designed to select features and thereby improves classification performance. For intrusion, the IDOFS-ODLID technique uses an attention-based bidirectional gated recurrent unit (ABiGRU) approach. At last, the IDOFS-ODLID technique uses a bird swarm algorithm (BSA) for the hyperparameter tuning process. The proposed model is simulated using CICIDS2018 dataset and the results portrayed its promising performance with maximum accuracy value of 99.24% over recent approaches.
  Keywords: cloud computing; deep learning; feature selection; intrusion detection; hyperparameter tuning; security.
  DOI: 10.1504/EG.2025.10067335
   
  
• Data protection and privacy in the data-driven public welfare in India  
  by Nadha Noureen C. K.  
  Abstract: The study maps the data regulatory landscape in India against the backdrop of an increasingly data-driven public welfare sector and the growing incidence of data risks. It examines how governments at different levels draw a balance between improving welfare delivery processes by harnessing data and protecting citizen rights from probable risks inhered in the processes. Identifying data-driven welfare initiatives, namely Samagra (Madhya Pradesh), Bhamashah Yojana (Rajasthan), Samagra Vedika (Telangana) and family information data repository (Haryana), the study conducts a policy analysis to assess the data protection standards in place in India. Global privacy standards like GDPR, OECD Privacy Guidelines, etc., are used for a comparative evaluation. Findings reveal a significant trade-off between efficient data-driven governance and the protection of rights, emphasising the need for robust regulations. The study calls for a balanced approach to data privacy and the public good, urging critical discourse on privacy rights within legitimate/public data drives.
  Keywords: data; databases; data regulation; public welfare; data privacy; data protection.
  DOI: 10.1504/EG.2025.10067336
   
  
• The effect of institutional factors on passport services digitalisation in an emerging country. A structurational model of technology perspective  
  by Winfred Ofoe Larkotey, Eric Ansong 
  Abstract: This study, from an interpretivist paradigm, examines how the digitalisation of government passport services was carried out and identifies the key enablers and constraints that affected its successful implementation. Using the Structurational Model of Technology (SMoT) as the research framework, qualitative data were collected from major actors involved in the digitalisation of Ghana’s passport services. The case was analysed using hermeneutics and the concepts of the refined SMoT. The study found that digitalization of government services improves revenue collection, increases monitoring, and promotes transparent disbursement of government funds and other resources, as well as reduces corruption. It also found that a deeply ingrained paper-based culture hinders monitoring, control, evaluation, and accountability in the public sector of an emerging country. This study is one of the first to provide insights into the enablers and constraints of digitalising a major government service, passport services, in a developing economy context.
  Keywords: digitalisation; passport services; e-government; developing economy; structurational model of technology; SMoT.
  DOI: 10.1504/EG.2025.10067337
   
  
• Informing decision makers: development of online news media monitoring and visualisation  
  by Alvi Syahrina, Media Wahyudi Askar, Margareta Hardiyanti, Mochamad Satria Riza Permana, Kayla Queenazima Santoso 
  Abstract: As information continues to be generated online, the volume of "big data" rapidly increases, offering potential for strategic decision-making across industries, including public administration. The online news media, as a source of real-time information, have transformed the way policymakers access and respond to public sentiment and emerging issues. In this context, the need for advanced tools to monitor and analyze vast streams of online news has become critical. This paper introduces Unitrend, a platform designed to facilitate data-driven decision-making by offering real-time insights through advanced data processing, data analysis, and visualization technologies. Unitrend aggregates news data, conducts sentiment analysis, and tracks key entities, providing policymakers with a comprehensive understanding of trends and public reactions. This research explores Unitrend’s system architecture and methodologies, highlighting its potential benefits and limitations in fostering responsive and informed policy development.
  Keywords: news media monitoring; big data analytics; natural language processing; NLP; sentiment analysis; named entity recognition; NER; web scraping; evidence-based policy making.
  DOI: 10.1504/EG.2025.10067338
   
  
• Examining the role of social networking sites representation in optimising digital transformation: challenges from the Egyptian context  
  by Mona Arslan, Darren Mundy 
  Abstract: Governments across the globe are witnessing a continuous process of digital transformation. However, little evidence of the management process is provided from Eastern contexts as contrasted with Western ones. This paper argues a significant contribution to marketing theory in the process of digital transformation. Specifically, social networking sites (SNS) which assist organisations in promoting the policy of transformation and are an essential element of the process. This research uses theories like political marketing and public policy marketing to investigate the extent of SNS optimisation in creating value and long-term relationships, which are essential elements of strategic marketing orientation. Since Eastern contexts are far less researched, this research takes the presence of the Egyptian Government on SNS as its foci. The research includes a netnographic approach towards addressing the research goals. Findings indicated a role for the maturity of strategy, top management support and the application of strategic marketing strategy in the process.
  Keywords: marketing; digital transformation; social networking sites; SNS; e-government; public sector marketing.
  DOI: 10.1504/EG.2025.10068257
   
  
• The role of smart technology in enhancing electoral process integrity in Algeria and Jordan  
  by Hisham Al-Kasasbeh, Nayel AlOmran, Odai AlHeilat, Kawthar Khair Swaileh 
  Abstract: The study investigated the feasibility of using smart technology to conduct the electoral process in Jordan and Algeria. The study highlighted the need for an electoral system that ensures the integrity of elections and instils confidence among individuals in their governments. The aim of the study is to explain the features of smart voting and the major obstacles to its implementation, as well as to clarify the key requirements for individuals and countries to adopt electronic voting, including both legislative and technical aspects. As a result of the study, several key findings emerged. Firstly, there are no constitutional or legislative provisions related to the use of smart technologies in the electoral process in Jordan and Algeria. Secondly, it is not possible to apply a particular method of smart elections in a particular country absolutely, as the method that suits one country may not be suitable for another country that lacks the necessary infrastructure and funding to implement it.
  Keywords: smart; technology; integrity; elections; voters; Algeria; Jordan.
  DOI: 10.1504/EG.2025.10067550
   
  
• Psychological drivers of e-impulsive buying: investigating the mediating role of loneliness coping strategies in fintech adoption contexts  
  by Minh T.H. Le 
  Abstract: This study explores the factors influencing the adoption of fintech during and after the COVID-19 pandemic, alongside the impact of loneliness on fintech usage. Government-imposed lockdowns, aimed at controlling the virus spread, created a unique opportunity to enhance fintech services to address reduced social interaction. Improved fintech solutions, emphasising convenience and user-friendliness, allowed individuals to purchase essential and entertainment products, potentially alleviating loneliness. Data from 220 online surveys revealed that lockdown measures, positive e-reviews, and user satisfaction significantly boost the intention to adopt fintech. Additionally, fintech services facilitated a favourable shopping environment under lockdown conditions. The study also identifies loneliness as a mediator between shopping enjoyment and impulsive buying behaviour. These findings, analysed using SmartPLS and structural equation modelling (SEM), underscore the dual role of fintech in addressing both transactional needs and emotional well-being during crises. The insights can guide stakeholders in enhancing financial inclusion, resilience, and user engagement in post-pandemic scenarios.
  Keywords: fintech adoption; COVID-19 lockdown; loneliness; e-reviews; user satisfaction; impulsive buying.
  DOI: 10.1504/EG.2025.10067916
   
  
• The evidence-based policy research strategy for digital economy development  
  by Jordan Putra Cahyono  
  Abstract: The rapid expansion of the digital economy presents opportunities and challenges, particularly for developing nations with uneven digital infrastructure. This study explores evidence-based policy strategies to promote sustainable and inclusive digital economy development, addressing issues like the digital divide and unequal technology access. Through a qualitative research approach, including interviews with policymakers and industry experts and analyzing policy documents, the study underscores the importance of data-driven policymaking for fostering digital inclusivity, driving innovation, and supporting long-term economic growth. It also emphasizes the need for policies tailored to each nation's unique socio-economic context. These insights offer a framework applicable to emerging markets and nations globally facing similar challenges. The research provides practical recommendations for policymakers to enhance digital transformation, ensuring that the benefits of digital growth are widely shared across all sectors of society.
  Keywords: digital economy; evidence-based policy; digital inclusion; sustainable development; digital transformation.
  DOI: 10.1504/EG.2025.10068272
   
  
• Applying neural networks to predict government funding needs, taking subsidies for low-income elderly living allowances as an example  
  by Yi-Hao Chen Chen, Wen-Chen Huang, Hsiu-Pi Lin 
  Abstract: This study develops and evaluates machine learning models for forecasting social welfare budgets, focusing on the "Living Allowance for Low-income Senior Citizens" in Taiwan. We compare neural network models against traditional forecasting methods to assess their potential for improving budget prediction accuracy and efficiency. Our experiments utilize Dense Neural Networks (DenseNN) and Recurrent Neural Networks (RNN) with non-time and time-series data. Results demonstrate that the best-performing neural network model outperforms traditional growth rate forecasting methods in accuracy. The study highlights the impact of political decisions and price index changes on statistical data, emphasizing the need for adaptive forecasting models. Our findings suggest that machine learning approaches can enhance budget forecasting accuracy in social welfare programs, potentially improving resource allocation and policy planning.
  Keywords: elderly subsidy; administrative statistics; machine learning; ML; neural network.
  DOI: 10.1504/EG.2025.10068758
   
  
• Impact of social media networking on young adolescents: a primary survey of school going children in Delhi-NCR, India  
  by Sangeeta Dodrajka, Rasleen Kaur 
  Abstract: In the contemporary higher education setting, adolescents are not only using electronic devices for understanding the topic better or to do school assignment, rather spending a lot of time in social networking through social media networking (SMN) sites, like, Facebook, Instagram, Twitter, WhatsApp and others. The present study seeks to assess if use of social media has led to any positive or negative impact on the mental, physical development of the children. A structured questionnaire is used to assess the impact of social media networking on children between the age of 10 to 16 years from schools across Delhi and National Capital Region (NCR), India. The study, through literature review, analysed that there are various mediating factors which influence the impact of usage of SMN by children. One of the major findings was the negative correlation between time spent on social media and academic grades. Also, with increased time on social media, physical activities were ignored by respondents as shown by negative correlation between the two. However, students felt more socially connected and confident through social media. Girls were found to be less affected by social factors and parental influence.
  Keywords: social; networking; perception; school going children; social media sites; social media; adolescents; addicted; social networking sites; academic; higher educational institutes; India.
  DOI: 10.1504/EG.2025.10068783
   
  
• How much data: measuring quantity, visibility and topics of Indian open governmental data using machine algorithm approaches  
  by Priya Tiwari, Bhaskar Mukherjee 
  Abstract: This study evaluates India ’s open data ecosystem through data.gov.in by analysing sector-wise and state-wise data production, usability, and major content topics. Using 6,907 datasets (20122023) extracted via a Python-based API, the analysis highlights key areas of interest: primary healthcare data (health), crop production statistics (agriculture), and demographic data (census). States like Tamil Nadu and Assam focus heavily on health-related data, while Andhra Pradesh and Bihar prioritise census abstracts. Tamil Nadu leads contributions to transport data (75.44%) and livestock census data (16.53%). Comparisons with USA and UK portals reveal India ’s strength in regional datasets but emphasise gaps in technical infrastructure and user engagement. Despite disparities between displayed and actual catalogues, India ’s tailored local data fosters transparency and data-driven governance. This first-of-its-kind study benchmarks India ’s portal globally, providing insights into sectoral focus, identifying best practices, and addressing socio-economic governance challenges.
  Keywords: governmental data; Indian government; open data; machine algorithm; data visibility; sectoral data; state data; open science; content analysis; India; UK; USA.
  DOI: 10.1504/EG.2026.10068802
   
  
• Collaborative e-governance: ecosystem and citizen-centric approach (the case of Kazakhstani capital city)  
  by Aigerim Amirova, Raslana Salmanova, Rymkul Ismailova 
  Abstract: This study examined Kazakhstan’s key challenges of ecosystem and citizen-centric approached in e-governance on the example of local executive body interactions with the population during a pandemic to determine areas of improvement. Investigators conducted a survey of 117 civil servants of Astana Akimat. Beside this, 117 citizens of capital city were asked to share their opinions on quality of public services delivery and organizational development of local public authority. For a long time, the capital was an outsider in the rating of the effectiveness of interaction with the population. After developing specific recommendations, a longitudinal study on performance improvement was conducted by comparing the results of public monitoring in 2020 and 2023 (9 181 and 9 954 respondents, respectively). As a result, a set of policy recommendations for modenisation of Astana Akimat’s performance in citizen-government interaction were proposed.
  Keywords: e-governance; digitisation; ecosystem; citizen centricity; human resources; public services; collaboration; COVID-19 pandemic.
  DOI: 10.1504/EG.2026.10069109
   
  
• Social media adoption by municipal governments: can it be a path towards a smart governance model in Brazilian cities?  
  by Mery Blanck, José Luis Duarte Ribeiro 
  Abstract: This study explores how the determinants of UTAUT predict behavioural intention and institutional use of social media (SM) by municipalities. It also analyses the purposes of this adoption, considering citizen participation assumptions embodied in the smart governance concept. The study adopts structural equation modelling to investigate municipal governments in Southern Brazil. The results revealed that social influence shows, among all determinants, the greatest impact on the behavioural intention to adopt institutional SM. But unlike UTAUT, facilitating conditions have proven to have a negative effect on SM institutional use. This counterintuitive finding, however, may be due to respondents considering that this activity involves greater time consumption and information overload. In turn, despite the dominance of unidirectional information supply by governments in citizen-government interactions, there is already an embryonic perception of the future use of SM to bring citizens closer to decision-making on public affairs.
  Keywords: social media; municipal government; smart governance; UTAUT; structural equation modelling; SEM; citizen participation; Brazil.
  DOI: 10.1504/EG.2026.10069175
   
  
• Framework for the evaluation of digital transformation projects in the public administration  
  by Lanna Oliveira, Jorge Vareda Gomes, Carlos Jeronimo, Mário Romão 
  Abstract: At a global scale, governments are undertaking transformation projects and initiatives to adapt to evolving societal needs while pursuing efficiency and cost reduction. Within the framework of Digital Transformation (DT) projects in the Portuguese Public Administration (PA), a proposal for a comprehensive evaluation framework has been developed. This framework outlines a series of attributes and criteria designed to assess the feasibility and suitability of proposed projects. The study delineates the characteristics, critical success factors, challenges, and obstacles associated with DT initiatives in the context of public administration. Employing a qualitative methodology, the research utilized a single case study strategy to gather insights. The proposed framework facilitates better strategic alignment and resource allocation, ultimately enhancing the performance objectives established by the PA. This structured approach aims to ensure that digital transformation efforts are not only effective but also aligned with broader governmental goals, thereby improving service delivery and operational efficiency within the public sector.
  Keywords: digital transformation; public sector; digital government; e-government; decision-making; project management.
  DOI: 10.1504/EG.2026.10069187
   
  
• Implementation of risk management approach for electric government system based on information technology  
  by Sari Andarwati Kunharyanto, Ratna Mayasari, Robby Marlon Brando, Ellia Kristiningrum, Arwidya Tantri Agtusia 
  Abstract: Risk management is an essential part of e-government implementation, aside from being one of the eight indicators in e-government index management. The application of risk management can enhance the success rate of e-government implementation, safeguard data security, ensure legal compliance, and manage changes more effectively. Risk management can aid in developing e-government so that the services utilised can operate at their optimum by managing existing risks to avoid negative impacts, increase the chances of achieving e-government implementation goals, and realise the institution’s e-government objectives. This study is conducted to formulate risk management guidelines for electronic-based government systems and to identify and analyse e-government risk management processes within the system as a whole, thereby producing a foundation that can be adopted and standardised for risk management process implementation in accordance with applicable regulatory approaches.
  Keywords: electronic-based government system; government services; e-government; public trust; risk management.
  DOI: 10.1504/EG.2026.10069188
   
  
• The impact of e-leadership on virtual teams organisational performance: team dynamics as a mediator  
  by Sahem Nawafleh, Baraa Abusaraya 
  Abstract: This study explores e-leadership's effectiveness in enhancing virtual work team dynamics in the public sector. It investigates electronic leadership levels, team dynamics, and performance, considering factors like gender, job nature, age, academic qualification, experience, and ministry-based differences. A mixed-methods approach was employed, using quantitative surveys and qualitative interviews with leaders and team members from various ministries. Out of 459 distributed questionnaires, 398 responses were collected and analyzed using SPSS and SmartPLS. The study shows moderate implementation of electronic leadership in the researched ministries, with high trust and communication levels, and moderate guidance and coordination. Team dynamics are highly effective, with significant application of team goals and collaboration. Team performance varies based on job title and ministry, with the Ministry of Labor displaying higher performance. The study suggests improving guidance and coordination skills for enhanced electronic leadership effectiveness. Virtual team training can capitalize on positive indicators of strong team dynamics. Efforts to enhance goal clarity and readiness are essential. Understanding the reasons behind the Ministry of Labor's superior performance can provide valuable insights for other ministries.
  Keywords: e-leadership; Virtual Teams organisational performance; team dynamics; public sector.
  DOI: 10.1504/EG.2025.10069369
   
  
• Influence of universal registration effect on accuracy and integrity of e-electoral voting in India  
  by Venkata Subbaiah Potala  
  Abstract: The population of India makes it the most populous democratic country in the world. Accurate electoral rolls are essential for free and fair elections in a democratic country. This research aims to examine a metric for determining the level of accuracy possessed by a system that can generate dynamic electoral rolls. The study considers a conceptual simulation model to evaluate the efficiency of the voting system that is in place. The research developed a model for obtaining the best Electoral Roll Accuracy Index (ERAI). However, studies often found that alive and eligible citizens must be enrolled as voters and thus deprived of voting. Often, it is also found that the deceased/ineligible citizens are enrolled as voters. This leads to impersonation and juvenile voting. ERAI is the most appropriate metric for evaluating the effectiveness of any system for generating electoral rolls.
  Keywords: citizen; voter; eligible voter index; electoral roll accuracy index; ERAI; Election Commission of India; India.
  DOI: 10.1504/EG.2026.10069495
   
  
• M-government landscape: systematic classification and future directions  
  by Noor Dheyaa Azeez, Alaa Abdul Salam Alhamadany, M.A. Alsalem 
  Abstract: The main purpose of this study is to present a comprehensive systematic review of M-government while simultaneously exploring open challenges and future directions to supplement earlier research and provide more precise and definitive findings. A total of 146 papers on the M-government subject, sourced from several databases (i.e., ScienceDirect, Web of Science and IEEE Xplore), were selected utilising a thorough literature search method and stringent selection criteria. The reviewed studies were categorised into a systematic and coherent classification containing six categories: security, M-government app development, evaluation, usage and diffusion, readiness and implementation, and review and survey. We have provided a systematic and comprehensive examination of prior studies in this study and a framework for potential future research by thoroughly examining the challenges, drivers, and recommendations. Additionally, to the best of our knowledge, this is the first systematic review to investigate comprehensively different aspects of M-government and conduct an intensive analysis summarising the results of earlier studies. Finally, several recommendations were provided to policymakers for establishing M-government, considering citizens’ expectations and improving content quality, as well as other recommendations for developers/providers.
  Keywords: mobile government; M-government taxonomy; adoption; challenges.
  DOI: 10.1504/EG.2026.10069685
   
  
• Manifestations of voter satisfaction: an empirical analysis using the VOTQUAL scale on Indian voters  
  by Deepika, Shashank Vikram Pratap Singh, Kanwal Jeet Singh 
  Abstract: The well-known SERVQUAL Scale is used in marketing to measure customer satisfaction, but there is no such scale to measure voter satisfaction. Abou-Khalil and Aoun (2020) made an attempt to measure voter satisfaction by developing the VOTQUAL scale. The authors tested the scale's validity on Lebanese voters, and therefore the scale's general applicability is questionable. We took a step forward by testing the scale on Indian voters. Using correlation and regression, statistical analysis is performed on a sample of 1,281 data. Contrary to the findings of Abou-Khalil and Aoun (2020), the findings of our study show that satisfaction is entirely a function of perceptions, which is perfectly consistent with the findings of Parasuraman et al. (1991) and the current political environment in India. The paper contributes significantly in the existing literature in India's context and adds greater insights to politicians aiming to win elections via voter satisfaction.
  Keywords: VOTQUAL; voter's satisfaction; India; political parties.
  DOI: 10.1504/EG.2025.10065280
   
  
• Towards a framework for enterprise architecture in mobile government: a case study  
  by Pham Hai Son, Duong Dang, Le Hoang Son, Byeongnam Yoon 
  Abstract: Mobile government (m-government) represents a distinct paradigm shift from electronic government (e-government), offering a new avenue for governments worldwide to deliver services and applications to their customers. The m-government model deviates from e-government in terms of information technology (IT) infrastructure, security, and application management and implementation. Enterprise architecture (EA) has been developed and utilised globally to enhance efficiency and information and communication technology (ICT) utilisation in the public sector through e-government. However, the application of EA within the context of m-government particularly in developing countries, has largely been overlooked by scholars. This study aims to address this gap. This study seeks to develop an EA specifically tailored for m-government in a developmental context. Our contribution to the literature is the illustration of a proposed EA framework for m-government. The practical implementation of this study is to identify critical considerations when designing and adopting m-government to avoid redundant investments during the integration of infrastructure and applications from e-government to m-government.
  Keywords: m-government; e-government; enterprise architecture framework; mobile technology; information and communication technology; ICT.
  DOI: 10.1504/EG.2025.10064545
   
  
• Identification of user satisfaction dimensions in open data services system using latent Dirichlet allocation: a case study of BMKG online data  
  by Abdullah Hasan, Achmad Nizar Hidayanto, Ryan Randy Suryono 
  Abstract: The Meteorology, Climatology, and Geophysics Agency (BMKG) presents a government open data portal that contains daily climate information and is freely accessible to users. Within this portal, there is a feature to provide feedback as an assessment of the services provided by BMKG's online data. Analysis of this feedback data is considered crucial in response to the decrease in the public satisfaction index (IKM) by 2.81 points. The aim of this study is to identify the topics that constitute the dimensions of user satisfaction with BMKG's online data. Previously, research had been conducted that involved the identification of topics within a company using the latent Dirichlet allocation (LDA) method. By applying the LDA model to user feedback data in text form, we successfully identified four dimensions related to satisfaction in using the BMKG data portal.
  Keywords: user satisfaction; open government data; OGD; user reviews; topic modelling; latent Dirichlet allocation; LDA.
  DOI: 10.1504/EG.2025.10064636
   
  
• Transforming governance: exploring the intersection of e-governance and artificial intelligence in India  
  by Gaddela Srikanth 
  Abstract: The concept of governance has undergone significant transformation in recent decades. In the past, governance was commonly ascribed as a hierarchical procedure in which governmental entities would make decisions, and the general population would comply. However, in the modern landscape, there has been an observable inclination towards adopting a collaborative governance paradigm propelled by the intersection of e-governance and artificial intelligence. The intersection of e-governance and artificial intelligence (AI) in the governance domain presents significant prospects for augmenting governmental mechanisms, i.e., AI algorithms drive insights by analysing the vast datasets and helping policymakers to make informed choices and platforms like e-governance enhance the accessibility and efficiency of the government services. This intersection of AI and artificial intelligence is not solely a technological shift but also redefines the relationship between government and the governed. This synergy holds the promise of transforming governance characterised by the active involvement of governments in forging alliances with citizens, businesses, and various other stakeholders to deliberate and determine policy choices collectively.
  Keywords: governance; artificial intelligence e-governance; digital literacy; civil society participation; India.
  DOI: 10.1504/EG.2025.10064811
   
  
• The role of THEQA, as a government-led trustmark, in developing consumers' trust in local e-commerce websites  
  by Maisa Shadid, Emad A. Abu-Shanab 
  Abstract: The purpose of this study is to explore how THEQA, a government-led trustmark program in the State of Qatar, provides local vendors with mechanisms to establish online trust. This is the first study to explore a government-led local trustmark, and the only one that studies THEQA from the local online vendor's perspective. The research used semi-structured interviews with both THEQA representatives and online vendors. A research model was established based on the conducted interviews. Both quantitative and thematic content analysis were used. Results show that THEQA trustmark establishes online trust in local e-commerce vendors through four mechanisms: initial-trust related mechanisms, reputation-related mechanism, website-quality related mechanisms, and security-related mechanisms. The study provides managers and decision-makers with trust-building and risk-reduction mechanisms to reinforce trust in e-commerce through e-government initiatives. This study is limited by its small sample size. Further, THEQA trustmark is a newly developed program and still in the growing stage.
  Keywords: e-government; trustmark; Qatar; government-led trustmark; trust mechanisms; e-commerce.
  DOI: 10.1504/EG.2025.10065002
   
  
• Framing human capabilities in digital government: a thematic analysis of policies and strategies  
  by Ermias Abebe Kassa, Jan C. Mentz 
  Abstract: In this paper, we explored the ways in which human capabilities were interpreted and framed in digital government policies and strategies. This research can be viewed as a prospective analysis of the extent to which digital government promotes human capabilities. Using the human capabilities approach (HCA) as a theoretical frame and template analysis as technique, we developed the codebook used for thematic coding through an iterative process of deduction and induction. The themes were then used to analyse policy and strategy documents from four countries to determine what, how, and to what extent human capabilities have been integrated into digital government. We found that all national digital government policies and strategies address human capabilities, albeit with variation in emphasis. Despite their relative order, the ubiquity of the themes in national policies and strategies reflects the universality of human capabilities.
  Keywords: capability approach; digital government; document analysis; electronic government; human capabilities; human capabilities approach; HCA; policy analysis; prospective analysis; public value; template analysis; thematic analysis.
  DOI: 10.1504/EG.2025.10065693
   
  
• Constructs of the G2G approach and their impact on the implementation of the digital government policy  
  by Maribel Puentes-Poloche, Alfredo Guzmán Rincón, Favio Cala-Vitery 
  Abstract: The implementation of digital government policy is a global phenomenon and the incorporation of the government-to-government (G2G) approach has resulted in several benefits. However, there is still a lack of understanding on how the constructs of this approach contribute to achieving a higher level of implementation of digital government policy. This article explores which constructs of the G2G approach have an impact on the level of implementation of digital government public policy. For the purpose of this study, it was limited to national level state entities in Colombia. The study used a quantitative cross-sectional approach with data taken from the Unique Progress Report Form of 147 national public entities subscribed to the executive branch. The study used partial least squares structural equation modelling (PLS-SEM). The results showed that G2G planning, privacy and information security, and the participation of value groups had a positive impact on the implementation of government digital policy. However, there was not enough evidence to confirm the relationship between interoperability, the use of data analytics, and emerging technologies with the level of implementation of government digital policy.
  Keywords: digital government; public policy; G2G; Colombia.
  DOI: 10.1504/EG.2025.10066168
   
  
• Webportal in e-grievance management system assessing its functionality through the lens of SERVQUAL dimensions  
  by Selvam Jesiah 
  Abstract: E-grievance management system (e-GMS) as an e-governance tool helps bring public, industry and government closer. This study aims to assess the functionality of e-GMS webportal using the appropriate service quality dimensions of e-services. A simple subjective assessment method was used to assess the operationality of the webportal. Prior to the assessment, a systematic literature review was done to identify the suitable service quality dimensions of e-services in order to assess e-GMS webportal. This study examined the eight identified service quality dimensions in e-GMS of India that reveals the high functionality of e-GMS portal resulting in greater efficiency in grievance dispoasal amidst the challenges connectivity. This study, however, suggests that the government should go beyond the website and technology in e-GMS, and look at various information, communication and education (ICE) strategies with an inclusive approach to reach out to all public that will help the government to achieve a robust and outcome-based public grievance system.
  Keywords: e-grievance; e-governance; e-service; management system; webportal; quality dimensions; effectiveness; government; public.
  DOI: 10.1504/EG.2025.10066024
   
  
• The influence of e-Government on corruption control based on the hexa helix model  
  by Sofia Dewi, Rindu Rika Gamayuni, Fajar Gustiawaty Dewi 
  Abstract: This research empirically investigates the impact of e-Government on controlling corruption based on the hexa helix model using a panel data collection from 45 high-income countries and 88 upper, low, lower countries during the period 2004-2022. The hexa helix model is defined as a combination of the roles of government, citizens, education, mass media, business systems and the rule of law. The fixed effects model is used to conduct regression tests. The simultaneously result shows that each variable on corruption control has consistent results both in high income countries and in upper, low and lower-income countries. Therefore this research provides suggestions for upper, low and lower income countries to study strategies on how high income countries can achieve a high voice and accountability, high business freedom, high government effectiveness, high political rights, high education spending and high rule of law index so their corruption control index also becomes high.
  Keywords: e-Government; corruption; hexa helix.
  DOI: 10.1504/EG.2025.10066654
   
  
• Does national culture orientation influence eGov acceptance? Evidence from a North African country  
  by Rachid Oumlil, Abderazak Aderkaoui 
  Abstract: In today's rapidly changing digital world, civil servants' acceptance of e-government (eGov) is crucial for its success. Therefore, understanding the factors influencing acceptance is critical. The COVID-19 pandemic highlighted the challenges of introducing eGov and emphasised the need to consider cultural factors. This study analyses the influence of national cultural orientation on eGov acceptance among 136 civil servants from 12 regional public organisations in Morocco, a North African country. The authors used a model based on the technology acceptance model (TAM) and included Hofstede's uncertainty avoidance cultural dimension. Using partial least squares-path modelling (PLS-PM), they found a strong positive effect on the intention to accept eGov for attitude and perceived ease of use, explaining 38% of the intention variance. Furthermore, perceived usefulness indirectly influenced the intention, while uncertainty avoidance negatively influenced it.
  Keywords: technology acceptance model; TAM; eGov acceptance; public sector; social development; national culture; organisational culture; North African country.
  DOI: 10.1504/EG.2025.10069370