Document Type : Original Article
Author
Associate Professor, Department of Public Administration, Allameh Tabatab'i University
Abstract
The aim of this study was to conduct a foresight analysis of the factors influencing the implementation of artificial intelligence in the provision of public services to citizens. The current research employed a mixed-methods approach. Methodologically, the study was based on Structural Self-Interaction Matrix analysis within a strategic foresight framework, and in terms of its objective, it is classified as applied research. The statistical population consisted of 25 experts, including university faculty members and managers from governmental organizations, selected through purposive sampling. Data were collected through literature review, structured interviews, and a scoring questionnaire ranging from 0 to 3 according to the SSIM framework, and analyzed using the MICMAC software. The findings indicated that the adoption of a data-driven governance approach in public policy, the formulation of a clear national strategy for digital transformation and artificial intelligence, and the provision of sustainable financial resources for training and digital empowerment of staff were the most influential factors affecting the implementation of artificial intelligence in public service delivery. The results further revealed that these identified factors, by creating synergies among managerial, technological, and human structures, provide a foundation for enhancing the quality, transparency, and efficiency of public services.
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