Quarterly Journal of The Macro and Strategic Policies

Quarterly Journal of The Macro and Strategic Policies

Modeling Comprehensive Employment Policies Using Artificial Intelligence Tools and Dynamic Systems Theory

Document Type : Research/Original/Regular Article

Authors
1 PhD Student in Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 Associate professor, Department of Industrial Engineering, Shahid Nikbakht Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran
3 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering and Technology, Najafabad Branch of Islamic Azad University, Najafabad, Iran
4 Full professor, Department of Industrial Engineering, Faculty of Industrial Engineering, Malek Ashtar University of Technology, Isfahan, Iran
10.30507/jmsp.2025.471824.2753
Abstract
The issue employment policiesin all societies and countries is one of the basic challenges for management and statecraft. In all the governments of the Islamic Republic, the employment policies have been one of the main programs and one of the serious demands and needs of the people. Examining the developments of the labor market at the level of the country's provinces shows that Sistan and Baluchistan province had the highest increase in the unemployment rate in recent years. Artificial intelligence, its tools and techniques such as data mining and machine learning have been able to lead the way in many human issues in the present era, the issue of employment is also This is not an exception. Artificial intelligence has been used for various aspects of employment, such as predicting the amount of labor demand, unemployment rate, number of vacant jobs, average income and other requirements for the creation and development of employment in province. By results of machine learning in artificial intelligence, future scenarios were simulated according to the conditions of the province and the systems dynamics approach in software vensim for the next 10 years. The research tool is Vensim software and the data are analyzed using descriptive and inferential statistical methods. The findings show that the unemployment rate could reach 15% in the next ten years.
Keywords

  • Receive Date 09 August 2024
  • Revise Date 21 April 2025
  • Accept Date 26 April 2025