Digital Transformation in Public Administration: Assessing the Impact of Emerging Technologies on Governance and Public Service Delivery
Year: 2026
Type: article
Abstract: This study evaluates the deep influence of emerging technologies on governance and public service delivery during the public sector’s digital transformation. This research implements a qualitative and descriptive strategy to analyze secondary data from multiple sources, including websites, books, journal articles, newspapers, and reports. This research investigates major advancements, including artificial intelligence and machine learning components (Generative AI, ChatGPT, and Google Gemini/Bard), the Internet of Things (IoT), cloud computing, big data and analytics, digital twins, robotic process automation, augmented reality, and the metaverse. The analysis assesses these technologies based on their value for improving public administration by simplifying service delivery and operational efficiency and establishing fresh value structures between governments and the general public. According to this study, these technologies have advantages and disadvantages, demonstrating their utility in enhancing public service quality while lowering bureaucracy and improving governmental operational effectiveness. Public sector employees require sophisticated skills to successfully implement these technological innovations, while institutions must use technology to fulfill their organizational requirements, according to the research findings. To meet this digital shift, civil servants need proper training; thus, educational bodies and higher education institutions should implement technology-oriented curricula. This research contributes to creating new knowledge by offering systematic assessments of these technologies to support decision- making among policymakers and staff experts across various fields.
Author: Md Nahidul Islam
Institution: Comilla University
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7150769072
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