Abstract
This article examines innovative methods for developing decision support systems (DSS) in the context of economic development management. The relevance of the study is driven by the need to enhance the efficiency of managing state development programs and optimizing budget resources in the era of digital economic transformation. The authors explore modern methodologies and tools used in DSS development, with particular attention to their application in the economic sphere. The role of the systems approach is considered as a key methodology for creating integrated solutions in public administration and conducting a comprehensive analysis of economic processes.The main goal of the article is to analyze and propose new approaches to DSS development to improve the efficiency of managing state economic programs. The economic aspects and principles of these systems, as well as the main tools and technologies used for their implementation in public administration, are examined. Special attention is given to analyzing the challenges associated with developing DSS to solve economic tasks such as financial forecasting, budget expenditure optimization, and economic risk management.The study highlights the importance of integrating intelligent DSS into the management processes of state economic development programs. Specific tools used in DSS development for economic analysis are examined, and their role in improving economic decision-making processes is explained. The research results include an innovative model for integrating artificial intelligence and big data analysis into DSS has been proposed; methods for improving the accuracy of economic forecasts and enhancing the efficiency of state resource allocation have been identified; a new DSS architecture model for public administration has been developed. The practical significance of the study is that it provides recommendations for implementing innovative DSS in public administration practices for economic development. The proposed approaches aim to enhance the efficiency of budget resource utilization, improve the quality of economic forecasting, and accelerate the processes of making well-founded economic decisions. The proposed approaches are aimed at increasing the efficiency of budgetary funds utilisation, improving the quality of economic forecasting and accelerating the processes of making informed economic decisions. The scope of application: state economic management, strategic planning, optimisation of budgetary resources. Scientific novelty: a comprehensive approach to the creation of SPPR for solving economic problems is proposed, new methods of integration of artificial intelligence and big data analysis are developed.