AI and Blockchain For Next-Generation E- Governance: A Comprehensive Bibliometric Review In Smart City Innovation

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Abstract

The merging of AI and blockchain technologies offers essential potential for e-governance, especially in improving predictive policy execution within smart cities. This study thoroughly reviews and assesses existing literature to clarify trends, key publications, and research gaps. Using detailed bibliometric analysis, we explored peer-reviewed articles from well-respected publishers indexed by Scopus, concentrating on works published from 2019 to 2024. Our results reveal an increasing volume of research examining the separate applications of AI and blockchain in e-governance. However, there is a noticeable lack of empirical studies focusing on their combined implementation. Major themes identified include the possibility of improved transparency and efficiency in public services, issues related to interoperability, and ethical considerations about data privacy and algorithmic accountability. This study is constrained by its dependence on bibliometric methods, which may not entirely reflect the practical complexities of technology integration across various governance contexts. Future research should emphasize longitudinal case studies and pilot initiatives to evaluate real-world uses of AI and blockchain in e-governance, addressing regulatory and ethical challenges to promote responsible adoption. This work adds to the global discussion on digital governance, providing a foundational framework for advancing AI and blockchain-enabled smart city projects.

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