ReviewHeliyon2024
Elevating e-government: Unleashing the power of AI and IoT for enhanced public services.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Expression of concern
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to explore how e-government services can be enhanced through the application of artificial intelligence (AI) and the Internet of Things (IoT). Specifically, it seeks to identify key themes, trends, challenges, and opportunities surrounding the integration of AI and IoT technologies in e-government, with a focus on understanding their implications for service delivery, governance practices, and citizen engagement. A systematic review approach was employed to analyze scholarly articles published between 2014 and 2024, sourced from various academic databases. The review encompassed studies exploring the adoption, implementation, and impact of AI and IoT in e-government contexts. Content analysis, thematic synthesis, and theoretical frameworks were utilized to distill insights and draw conclusions from the literature. The analysis revealed several important findings regarding the role of AI and IoT in enhancing e-government services. Key themes identified include the potential of AI and IoT to improve decision-making processes, optimize service delivery, and foster citizen engagement. However, challenges such as data privacy concerns, ethical considerations, and socioeconomic disparities in access were also identified. The study provides theoretical insights into the evolving landscape of digital governance and offers practical recommendations for policymakers and practitioners. This study contributes to the existing literature by offering a comprehensive analysis of the implications of AI and IoT adoption for e-government practices. It synthesizes findings from a diverse range of scholarly articles, providing insights into the complexities of digital transformation in the public sector. Theoretical frameworks such as ethical AI principles and digital governance models are employed to elucidate the implications of AI and IoT integration for public administration and governance. The findings of this study hold significant value for scholars, policymakers, and practitioners interested in understanding the impact of AI and IoT on e-government services. By highlighting key themes, trends, challenges, and opportunities, this study informs evidence-based decision-making and guides future research and policy development in the field of digital governance. Ultimately, it contributes to the advancement of knowledge and practice in leveraging AI and IoT technologies to enhance e-government services in the digital age.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.