E-Governence Services using Artificial Intelligence Techniques

Chinnasamy, P.; D, Tejaswini; Dhanasekaran, S.; Ramprathap, K.; Priya, K. Lakshmi; Kiran, Ajmeera

doi:10.1109/iccci56745.2023.10128646

Cited by 6 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent advancements in AI enable more sophisticated applications, such as predictive analytics, natural language processing, and machine vision. These advancements have the potential to revolutionize citizen engagement, streamline bureaucratic processes, and enable data-driven decision-making [13]- [15].…”

Section: The Evolution Of Ai In Public Administrationmentioning

confidence: 99%

Strategies for Utilizing AI and Data Analytics to Improve the Effectiveness of Public Services in Indonesia: A Local Government Level Approach

Judijanto,

Taufiqurokhman,

Hendrawan

et al. 2023

WSBM

View full text Add to dashboard Cite

This research investigates the strategies for utilizing artificial intelligence (AI) and data analytics to enhance the effectiveness of public services within Indonesian local governments. A quantitative analysis was conducted, involving a diverse sample of 200 participants, including local government officials, IT professionals, and citizens across various regions. The study employs a structural equation modeling approach, assessing the relationships between the implementation of AI, data analytics, and the effectiveness of public services. The measurement model confirms the reliability and validity of the constructs, while the structural model reveals significant positive paths from both data analytics and AI utilization to public service effectiveness. The findings contribute to the evolving landscape of technological integration in public administration, offering evidence-based insights for policymakers and practitioners.

show abstract

Section: The Evolution Of Ai In Public Administrationmentioning

confidence: 99%