Evaluating the Feasibility of Ai and Block Chain Technology in Public Service Transactions: a Case Study of the Uae
Year: 2025
Type: article
Abstract: This study aims to evaluate the viability of integrating Artificial Intelligence (AI) and Blockchain technologies into public service transactions in the United Arab Emirates (UAE). The research addresses the challenges, key issues, and impacts of these technologies in public sector organizations. A qualitative methodology was used, utilizing focus group discussions and interviews with leaders. The sample participants were UAE Federal Government officials, Abu Dhabi Local Government officials, Dubai Local Government officials, Ajman Local Government officials, and private sector officials. Thematic analysis, supported by a thematic network method, was applied to structure findings into six crosscutting themes across five stages of technological change (Initial, Developed, Defined, Managed, Optimized) and four dimensions (Strategy, Technology, People, Process). The study observes that despite their potential for powering efficiency and openness, implementation of AI and Blockchain technologies is compromised by different constraints like regulation hurdles, governance, and infrastructural limitations. Their implementation should make it successful with the help of developing integral regimes of regulation appropriate to the technological and legal backdrop of the UAE. Piloted investments will additionally be required in order to evaluate real-life impact as well as identify optimal approaches. Stakeholder acceptance, training of personnel, and systematic knowledge-transfer programs are equally essential to counteract resistance and ensure effective implementation. A well-orchestrated, multi-faceted effort will enable UAE public service agencies to leverage these technologies to improve the delivery of service and spur long-term innovation.
Authors: AHMAD ALGHARIBAH, SGUJUN ZHANG, SALAH AL-MAJEED, SABA KHAN
Institutions: University of Gloucestershire, University of Lincoln
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949373664
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