DESIGNING A FINANCIAL MANAGEMENT OPTIMIZATION MODEL FOR RESOURCE ALLOCATION AND SUSTAINABLE BUSINESS GROWTH
DESIGNING A FINANCIAL MANAGEMENT OPTIMIZATION MODEL FOR RESOURCE ALLOCATION AND SUSTAINABLE BUSINESS GROWTH
Author(s): Rakhbar Khalikova, Fakhritdin Khudaynazarov, Nurjaxon Eshonkulova, Dusmurod Djuraev, Mexrangiz Narzullayeva, Azizahon Maksumkhanova, Abdinazar NurmanovSubject(s): Business Economy / Management, Micro-Economics, Accounting - Business Administration
Published by: Centrum Badań i Innowacji Pro-Akademia
Keywords: financial management optimization; resource allocation; sustainable business growth; multi-objective optimization; financial decision support systems; cost efficiency and risk management; strategic financial planning;
Summary/Abstract: Financial management is the core of sustainable business growth, especially in situations of limited resources, market uncertainty, and increased operational complexity. Traditional budgeting and financial planning models tend to be unresponsive and stagnant, thereby limiting their effectiveness in maximizing resource deployment and supporting long-term strategic goals. In a bid to overcome these problems, the study presents a Financial Management Optimization Model (FMOM) to enhance its effectiveness in resource allocation and increase its financial sustainability. The suggested financial decision-making framework addresses multi-objective optimization, accounting for return on investment, cost efficiency, liquidity, and risk-adjusted growth. Sensitivity analysis is conducted as a scenario-driven approach, using linear programming to allocate funds dynamically across operational, strategic, and innovation-oriented business units. The model is confirmed using financial data from small- and medium-sized enterprises over several fiscal periods. Empirical evidence shows that the proposed FMOM significantly improves traditional budgeting techniques, resulting in an average 14.8% increase in resource utilization efficiency, a 12.3% reduction in operational costs, and a 9.6% increase in overall return on investment. Also, under different market conditions, companies with the optimized allocation strategy reported a 18.1% reduction in liquidity risk and a 11.4% increase in long-term financial growth stability. Such findings demonstrate that the offered optimization framework has the potential to achieve a balance between short-term profitability and long-term sustainability. The paper finds that optimal-based financial management offers a strong, scalable, and data-driven decision-support system that helps an organization improve financial performance, reduce risk, and realize sustainable business development in a competitive world.
Journal: Acta Innovations
- Issue Year: 2025
- Issue No: 59
- Page Range: 291-300
- Page Count: 10
- Language: English
