This article examines the system of factors determining the effectiveness of financial resource management in higher education institutions. The expansion of higher education enrollment, changes in the proportion of government-funded and tuition-based financial resources, and the growing need to finance research and innovation activities require a qualitative improvement in financial management. The purpose of the study is to systematize the factors affecting the formation, allocation, and control of financial resources and to develop an integrated assessment methodology. The research applies a systems approach, comparative analysis of regulatory and legal documents, the indicator method, the Analytic Hierarchy Process (AHP), normalization techniques, and sensitivity analysis. The findings classify the influencing factors into five interrelated groups: the institutional and regulatory environment, diversification of funding sources, the quality of internal financial management, the efficiency of resource allocation, and transparency and financial risk management. Based on these groups, a Financial Resource Management Efficiency Index for higher education institutions is proposed. The index can be used to diagnose the financial sustainability and development potential of higher education institutions, identify priority expenditure areas, and improve the quality of managerial decision-making. The research findings may also be applied in developing medium-term financial plans, introducing responsibility centers for budgetary and extra-budgetary funds, and establishing internal financial monitoring systems
This article considers the theoretical and methodological foundations of the formation and modernization of the economic mechanism for providing financial support to non-state higher education institutions from the perspective of a systematic approach. In the context of deep institutional changes in the educational services market in developing countries, the search for optimal models for the financial sustainability of private educational corporations is becoming increasingly important. An in-depth financial and economic analysis of the structure of gross revenues, operating expenses and consolidated net profit was conducted for six major higher education market participants in the Kashkadarya region based on verified empirical data for 2025. Using applied econometric modeling methods, the author identified and estimated the short-term cost function of the private academic sector using the classical ordinary least squares (OLS) method. A highly significant correlation was found between the total operating costs and the scale of gross income of educational institutions R^2 = $0.95, p<0.001, which indicates the absence of clear economies of scale at the current stage of market institutionalization due to strict institutional constraints and market institutionalization. Conceptual frameworks for reforming the economic mechanism at the macro and meso levels are proposed, including public-private partnerships, tax subsidies, and diversification of financial flows
The article examines the economic essence of digital transformation in the energy sector and analyzes methods for assessing its economic efficiency. The study substantiates the impact of digital technologies on energy companies, including cost reduction, minimization of energy losses, improvement of production efficiency, and enhancement of investment attractiveness. The concepts of digitization, digitalization, and digital transformation are compared, and their economic content is revealed. The main evaluation methods of digital transformation projects are analyzed, including the KPI system, scenario analysis, cost–benefit analysis, investment appraisal tools (NPV, IRR, payback period), and the integrated efficiency assessment model.
Today’s market is becoming tough for small businesses. Competition is growing, and digital technologies are evolving so fast that it is becoming difficult to keep up. Small companies, in particular, often struggle more than larger firms because they usually work with limited budgets, depend heavily on manual tasks, and do not always have standardized processes in place. Yet despite these challenges, automation and AI can become a real game-changer for them. By automating the most time-consuming and vulnerable parts of their work, small businesses can save resources, reduce errors, and operate more confidently. This article explores what kind of challenges small businesses are currently facing while automating their operations. It also identifies the main risks involved and suggests practical software tools that can help small companies choose solutions that truly meet their needs
This article examines property interests associated with the use and disposal of property, primarily insured assets. It also substantiates the legal force of documents recording expenses related to insurance claims in organizations. Documentation facilitates control over the insurance process and improves its efficiency, increasing the speed and accuracy of reporting insurance expenses in terms of quantity, cost, and quality