Document Type : Research Paper
Authors
1 Department of Public Administration, ST.C., Islamic Azad University, Tehran, Iran
2 Department of Public Administration, Sho.C., Islamic Azad University, Shous tar, Iran Corresponding Author’s Email Address: Eh.Zohoori@iau.ac.ir
Abstract
This study aimed to develop a comprehensive Artificial Intelligence (AI)-based policy implementation model for the Central Branch of the Social Security Organization (SSO) of Khuzestan Province. Given the extensive scope of the SSO’s services, leveraging AI is essential for enhancing transparency, execution efficiency, and accountability in response to complex socio-economic challenges.
Methodologically, this research is applied in objective and mixed-methods (qualitative-quantitative) in design. The qualitative phase utilized the Meta-Synthesis method to extract the model’s components. The sample comprised 30 scientific articles and documents (domestic and foreign), which, upon coding, led to the identification of 10 main components and 53 indicators.
In the quantitative phase, the Fuzzy Delphi method was employed for validation, confirmation, and weighting of the components. The sample for this phase included 15 academic and executive experts in the fields of AI and Social Security.
The Meta-Synthesis results indicated that the AI policy implementation model consists of 10 key components, the most significant of which include: “Analytical Capacity and Decision Support,” “Human Resources Requirements and Skills,” “Technology and Operations Integration,” and “Ethical, Legal, and Security Challenges.” Furthermore, the Fuzzy Delphi findings confirmed these components and prioritized them within the SSO context, establishing final implementation requirements. The resulting model provides a comprehensive 10-component framework that introduces AI tools for enhanced efficiency while emphasizing governance and ethics to facilitate responsible and accountable policy execution.
Keywords: Meta-Synthesis, Fuzzy Delphi, Policymaking, Artificial Intelligence, Social Security Organization, Policy Implementation Model.
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