International Journal of Electronic Governance (6 papers in press)

Regular Issues

• Intelligent Marketing of E-Government Public Services and Citizen Interaction  
  by Tariq Samarah, Ayman Hindieh, Ala Mughaid, Muder Almiani 
  Abstract: The application of innovative marketing technologies is important for optimizing E-government services delivery. This study investigates the integration of Emarketing with E-government platforms to improve public service and citizen engagement. The research addresses the following: How AI-driven marketing can improve citizen engagement and service accessibility? What are the key factors influencing E-government services? A mixed-methods approach was employed, combining qualitative interviews with government officials and quantitative surveys of citizens to assess the effectiveness of AI-driven strategies. The results indicate a 30% increase in user satisfaction, a 25% improvement in service accessibility, and a 40% rise in citizen engagement. The proposed system reduces operational costs by 20%. Findings underscore the implications of intelligent marketing technologies in public administration, not only in improving service delivery, but in enhancing government efficiency also. These results highlight the critical role of AI driven marketing in modernising public service, ensuring better service delivery and citizen satisfaction.
  Keywords: Digital Marketing Strategies; E-Government; Public Service Delivery; Citizen Interaction; AI-Driven Marketing; Data Analytics in Public Administration.
  DOI: 10.1504/IJEG.2025.10069135
   
  
• Structural Equations and machine learning: An Approach to Measuring Political Stability and Citizen Support in Social Networks.  
  by Edwin Arango, Carlos Fernando Osorio, Carlos Alberto Pastrana Arango 
  Abstract: This study examines influence of political stability on digital citizen engagement across the 51 municipalities of the Colombian Coffee Cultural Landscape. Research employs a mixed-methods approach, combining content analysis to operationalise the dimensions of political stability, natural language processing to analyse comments on Facebook, and structural equation modelling to explore the relationships between variables. The findings reveal that political legitimacy and policy continuity are negatively associated with the volume of comments but positively associated with their valence. Political strength shows a positive relationship with both the volume and valence of the comments. This study offers original value by integrating governance concepts with social media analysis in a Latin American context, providing insights into how dimensions of political stability influence digital citizen engagement. The findings have implications for understanding the relationship between political stability and citizen engagement in the digital age
  Keywords: Political Stability; Governance; Social Media; Citizen engagement; Political legitimacy; Social endorsement; Comment valence; Comment Volume; Democracy; Natural language processing.
  DOI: 10.1504/IJEG.2025.10069610
   
  
• Impact of Citizen Participation through E-Government Platforms on Satisfaction and Trust  
  by Hongjing Mo, Loo-See Beh 
  Abstract: This study investigates the impact of different citizen engagement models in e-government services on user satisfaction and trust, focusing on the co-production and managerial model. Utilizing a comparative case study approach, data were collected through structured online surveys targeting user satisfaction, trust, and participation. Users of iShenzhen, which employs a co-production model, reported higher satisfaction and trust levels compared to users of Hangzhou City Brain, which follows a managerial model. The results suggest that co-production enhances satisfaction and trust in e-government services, with participation being a significant predictor of these outcomes. The study highlights the effectiveness of active citizen engagement in service design and implementation, suggesting it enhances public trust in government. Providing empirical evidence within the Chinese context, this research addresses a gap in understanding the impacts of engagement models on user perceptions, offering a comparative analysis that underscores the advantages of participatory approaches in public service delivery.
  Keywords: co-production; e-government; citizen participation; user satisfaction and trust.
  DOI: 10.1504/IJEG.2025.10069632
   
  
• Adoption Level of AI Conversational Systems by Governments in Nigeria towards Reducing Inequality to Information Access  
  by Oyelami M. Olufemi  
  Abstract: Access to relevant information is very crucial to reducing inequality and artificial intelligence (AI) conversational systems are among the technologies that can be used in bridging the digital divide common in developing nations. Chatbots, which are a form of conversational systems have been used in the provision of various forms of services in many nations, but their usage in the provision of services rendered by the government is limited and sometimes, non-existent. This article investigated the adoption level of this technology by the different levels of government in Nigeria. The official websites of the various governments were searched for text and speech-controlled AI conversational systems. The results revealed that AI chatting systems are not generally available. Consequently, towards attaining SDG goal 10, the adoption of AI chat systems by governments at all levels is of paramount importance to reach the underserved and the unreached for service access.
  Keywords: AI Conversational Systems; Inequality; SDG 10; Chatbots; Information access; website.
  DOI: 10.1504/IJEG.2025.10070037
   
  
• E-Governance and AI Impact on the Improvement of E-government Services: Transformative leadership as a Mediator  
  by Sahem Nawafleh, Ibrahim Al-Rawabdeh, Ghazi Abu Qa'ud, Waed Al-shubaki 
  Abstract: The study examines the role of AI tools and e-governance in enhancing public sector services in Jordan, emphasising transformational leadership in integrating these technologies. A quantitative descriptive exploratory approach was used, as AI application in Jordans public sector remains underexplored. This approach facilitated comprehensive data collection through surveys and interviews. Data analysis employed structural equation modelling (SEM) via smart partial least squares V4.1 and SPSS V26. Findings indicate that transformational leadership is a key driver of improved e-government services, with leaders who inspire change being essential for successful implementation. Transparency and accountability also enhance service effectiveness. However, AI technologies like neural networks and genetic algorithms had limited impact. The study recommends further exploration of advanced AI techniques to improve government services and suggests investigating the evolution of transformational leadership over time to better understand its mediating role in service delivery.
  Keywords: E-governance; artificial intelligence (AI); E-government Services Transformative leadership.
  DOI: 10.1504/IJEG.2025.10070149
   
  
• Indian Approach to Data Rights: Survey of Social Structures, and Personal Data Protection Regimes in India  
  by Biju P. R. Puthupparambil, Gayathri O 
  Abstract: The research paper conducts comparative analysis of data protection frameworks and AI policies in India and various countries, and seeks to investigate their capability in safeguarding data rights and enforcing fiduciary responsibilities favourable to users with a focus on India. Deploying a mixed method approach, it explores classical theories of rights, property ownership, and data protection frameworks. It seeks to explain how data rights intersect with India's intricate social structure. The findings reveal shortcomings in India's common law jurisdiction, lacking tools to effectively address data rights and fiduciary responsibilities. The study suggests that policy drafts in India need to uphold the culture sensitivity of data governance, considering the nation's complex social dynamics and data trust principles needs to align with India's unique trust and relationship dynamics.
  Keywords: Artificial Intelligence; Data Policy; Fiduciary Trust; Structural Oppression; Data Rights; Algorithms; India; Data Trust.
  DOI: 10.1504/IJEG.2025.10070152