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SYSTEMATIC REVIEW article
Front. Sustain. Cities
Sec. Smart Technologies and Cities
Volume 7 - 2025 | doi: 10.3389/frsc.2025.1553816
Synergizing AI and Blockchain: A Bibliometric Analysis of Their Potential for Transforming E-Governance in Smart Cities
Provisionally accepted- 1Muhammadiyah University of Yogyakarta, Yogyakarta, Indonesia
- 2Mindanao State University, Iligan Institute of Technology, Iligan, Philippines
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Integrating AI and blockchain technologies holds significant potential for enhancing e-governance, particularly in improving predictive policy execution within smart cities. This study conducts a comprehensive review and bibliometric analysis of existing literature to identify trends, key publications, and research gaps. Using peer-reviewed articles indexed by Scopus and published between 2019 and 2024, we observe a significant rise in research output, focusing on the separate applications of AI and blockchain in e-governance. Key themes identified include enhanced transparency, efficiency in public services, and concerns related to data privacy. However, our analysis uncovers a clear gap in empirical studies addressing the combined use of AI and blockchain technologies. The bibliometric coupling map reveals central clusters around "smart city" and "blockchain," while topics such as "sustainability" and "climate change" show significant impact, highlighting their relevance to governance. Additionally, the study identifies a lack of cross-disciplinary research, emphasizing the need for future interdisciplinary collaborations. Despite the insights gained, the study is constrained by its reliance on bibliometric methods, which may not capture the complexities of real-world technology integration. Future research should prioritize longitudinal case studies and pilot projects to address regulatory, ethical, and practical challenges, contributing to the responsible adoption of AI and blockchain in digital governance.
Keywords: Artificial Intelligence1, blockchain2, E-Governance3, Smart cities4, Bibliometric analysis5, technology integration6
Received: 08 Jan 2025; Accepted: 09 Apr 2025.
Copyright: © 2025 Lubis, Nurmandi, Ahmad, Purnomo, Purwaningsih and Jovita. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Sandi Lubis, Muhammadiyah University of Yogyakarta, Yogyakarta, Indonesia
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.