Modern Studies in Management and Organization

Modern Studies in Management and Organization

Designing a Model for the Role of Operations Research in Public Policymaking with an Emphasis on Artificial Intelligence Capabilities

Document Type : Review article

Authors
Seyed Kamran Yeganegi 1
Mina Pourhosein Roshan 2
1 Assistant Professor, Islamic Azad University, Zanjan Branch, Faculty of Technology and Engineering, Zanjan, Iran.
2 PhD Student in Marketing Management, Faculty of Social Sciences, Department of Business Management, University of Mohaghegh Ardabili, Ardabil, Iran.
10.22034/jmsmo.2025.526150.1031
Abstract
Operations research and artificial intelligence, as advanced tools, have a high potential for optimizing decision-making processes and policy implementation in the public sector. This study aims to investigate the role of operations research in public policymaking and analyze the capabilities of artificial intelligence in this process. This study was conducted with a mixed approach. In the qualitative part, data was collected through content analysis based on semi-structured interviews with experts in the fields of operations research, public policymaking, and artificial intelligence. In the quantitative part, a survey approach was used. The research findings show that integrating operations research and artificial intelligence can transform public policymaking in four areas: smart policymaking, development of welfare and social policies, improving the efficiency of executive processes, and data analysis and policy scenario building. The results of this study show that integrating operations research and artificial intelligence can make public policymaking more efficient, transparent, and data-driven. To achieve these goals, it is essential to develop technological infrastructure, develop transparent regulatory frameworks, and utilize human oversight in decision-making processes.
Keywords
Public Policy
Operations Research
Artificial Intelligence

Subjects

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  • Receive Date 28 February 2025
  • Revise Date 02 April 2025
  • Accept Date 06 June 2025
  • Publish Date 06 June 2025