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All Journal Jurnal Pilar Nusa Mandiri Journal of Information Systems and Informatics
Abdulrahman Mohammed Hussein Obaid
21 September University for Medical and Applied Sciences
Computer Science & IT

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BALANCING SECRECY AND TRANSPARENCY IN SMART CITIES: A SYSTEMATIC REVIEW OF BLOCKCHAIN-BASED GOVERNMENT DATA MANAGEMENT Nabil Abdallh Abbas Almotawkel; Abdulrahman Mohammed Hussein Obaid
Jurnal Pilar Nusa Mandiri Vol. 22 No. 1 (2026): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v22i1.8254

Abstract

Blockchain offers a promising solution to recurring problems in centralized government data systems, including security vulnerabilities, inefficiencies, and declining public trust. Blockchain’s decentralized and tamper-resistant architecture provides a mechanism to balance transparency and confidentiality in the management of public data. This paper presents a systematic review of the application of blockchain technology in the government domain, evaluating its impact on data security, efficiency, and public participation. This systematic review was conducted following the PRISMA protocol and searched the Scopus database for publications from 2016 to 2025. Of the 592 publications retrieved, 49 met the eligibility and quality criteria. A thematic synthesis was conducted on the results with respect to transparency, confidentiality, governance, and scalability. The findings indicate that blockchain has the potential to enhance transparency and data security through the creation of tamper-resistant records that strengthen public oversight. Blockchain also has the potential to improve the efficiency of public service delivery through digital platforms such as land registry systems and health record management. However, challenges remain, particularly related to scalability and regulatory frameworks for the adoption and implementation of the technology. Therefore, adaptive regulatory frameworks and appropriate governance mechanisms are required to support fair and sustainable adoption of blockchain technology in government data management.
AI and Blockchain Adoption in E-Government 3.0: A Systematic Review and Conceptual Framework Nabil Abdallh Abbas Almotawkel; Abdulrahman Mohammed Hussein Obaid; Hamza Ali Abdul Rahman Qasem; Gameil Saad Hamzh Ali
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1591

Abstract

This study presents a systematic review of the adoption of Artificial Intelligence (AI) and Blockchain technologies in E-Government 3.0 within developing countries, based on 99 reviewed studies published between 2020 and 2025. Using the PRISMA 2020 protocol, the review synthesizes existing literature to identify key barriers, opportunities, and emerging governance patterns. The findings suggest that while AI appears to enhance decision-making capabilities, and blockchain is associated with enhanced transparency and data integrity, their successful adoption appears to be constrained by institutional capacity, regulatory frameworks, organizational readiness, and digital trust. The results further indicate that technological factors alone are insufficient without alignment with governance structures and policy environments. Based on the synthesis, this study proposes the SIF-G3.0 conceptual framework, which integrates technological, institutional, regulatory, and trust dimensions as a conceptual model for understanding digital government transformation. The proposed SIF-G3.0 framework remains conceptual and has not yet been empirically validated. The evidence base included heterogeneous sources, including empirical, conceptual, bibliometric, and systematic review studies. The study also highlights critical research gaps and provides directions for future research in hybrid intelligent governance systems.
Co-Authors Gameil Saad Hamzh Ali Hamza Ali Abdul Rahman Qasem Nabil Abdallh Abbas Almotawkel