The article explores the possibility of using MS Power BI tools at the level of university management to justify and ensure the correctness of management decisions on the formation of value proposition. The definition of the concept of the university’s value proposition is offered. The factors of influence on correctness of decisions on forming the value proposition: external and internal, behavioral and effective, the factors of direct and indirect influence are identified and systematized according to a set of features. MS Power BI toolkit is tested by means of BigData, the algorithms of quantitative influence of factors with defining the data fields are described. The algorithms for applying records to data models based on statistical and analytical indicators have been developed, which is the basis for building DashBoard as a tool for visualizing management decisions to justify valuable proposals.

The problem of financing higher education is becoming increasingly important in both domestic and international practice. Changing approaches to financing models and simultaneous reduction of public funding depends on several factors, mainly due to the transformation process related to the changes in technology, the wave of innovations, the effects of the Covid-19 pandemic, financial and economic crises causing the review of the role and priorities of the institution of the state, public finance potential on the financing of higher education. The aim of the article is to study theoretical approaches to understanding the concept of the «financing model», assess the results of the introduction of the formula for the allocation of the state budget expenditures between higher education institutions of Ukraine to identify the most impactful components of the model and trends. In the process of our research, we used such methods as: analysis, synthesis, comparison, system analysis, statistical methods (regressions, means, grouping, data distribution), data visualization method and others. Based on a synthesis of approaches of foreign and domestic scholars to the concept of «the funding model», the author proposes to consider it at two levels: macro (public funding, which is a tool for allocating budget funds between the state and higher education institutions under pre-defined conditions, agreements, parameters, indicators) and micro (formed at the level of a separate university, and includes budget and additional funding in certain proportions). The article examines the macro approach to the results of the introduction of the funding formula in 2020–2021, assesses the level of funding for the HEIs, determines the interdependence of the integrated performance indicator and the estimated student body of the HEIs, assesses the strength of relationship, distribution criteria and obtained values (estimated body, scale of activity, regional support, scientific activity, international recognition, employment of graduates). The positive effects of the introduction of the formula model of financing are the implementation of the state educational policy, strategic positioning of universities, the introduction of innovative approaches to management, conducting educational and scientific activities, improving quality indicators. The disadvantage is the dependence on student body studying at the request of the state, limited resources (material, human, financial, etc.) to achieve efficiency (as a result – underfunding), so powerful, innovative universities able to respond to stakeholder requests, produce quality services and effectively promote them in the market of educational services have advantages.

The purpose of this article is to assess trends in changes in research and development (R&D) expenditures, analyse Ukraine's ranking in the Global Innovation Index (GII), and identify key problems influencing these changes. The research employs methods such as structural analysis, averages, comparison, generalisation, analysis and synthesis, and graphical methods. The article examines trends in R&D expenditures as a percentage of GDP, compares Ukraine's indicator values with those of other countries worldwide and in Europe, identifies trends in the number and structure of employees and organisations involved in R&D activities, and evaluates the volume and structure of R&D expenditures by sector and type of work. Negative dynamics are identified across all indicators, accompanied by processes such as the devaluation of the scientist's role, brain drain abroad, reduction in R&D spending, and decreased engagement and interest of organisations implementing R&D, leading to a reduction in scientific research, products, and innovations across various sectors of the economy, and a decrease in the volume of new knowledge. Ukraine's ranking in the Global Innovation Index and its sub-indices are comprehensively assessed, revealing Ukraine's strengths and weaknesses in these rankings. The period of Ukraine's rise in the GII from 2013 to 2018 and the subsequent decline in ranking positions from 2019 to 2022 have been identified. Despite the full-scale war in 2023, Ukraine strengthened its ranking by 2 positions, securing 55th place. It is established that despite negative factors (funding levels, declining innovation and research activity, devaluation of the scientist's role, brain drain abroad, etc.), Ukraine has significant human potential to ensure the country's economic development.

The uncertainty of the functioning of higher education institutions in Ukraine in the conditions of Russian aggression, the consequences of the Covid-19 pandemic, actualized the problems of financial stability violations in higher education institutions, which is caused by the following factors: fluctuations in the number of students, their concentration in central universities, outflow from regional universities, changes in their structure , loss of income from foreign students, prioritization of defense expenditures, delay and reduction of budget funding, decrease in the solvency of the population, price competition between higher education institutions, destruction of the material and technical base, migration of applicants and teachers abroad, etc. The purpose of the article is the methodological substantiation and practical approbation of the assessment of the impact of the change in the contingent on the financial stability of the university, proving the hypothesis that the stability and balance of the contingent has a positive effect on the university's income. It is substantiated that the change in the contingent of students, their structure by degrees of education, forms of education and sources of funding is one of the indicators of the financial stability of the university. A group of scale indicators is proposed, which includes indicators of the growth of the contingent, in terms of budget and private financing, the average level of university income per student, the average level of university budget allocations per 1st budget student / contract student. The method of calculating scale indicators is defined and their recommended values are proposed to determine the level of their influence on the financial stability of the university. Based on a sample of thirty-five higher education institutions of Ukraine, which include classical, technical, pedagogical, economic, and other universities, a practical test of the proposed approach was carried out, the obtained results were graphically presented, the main patterns and factors of violation of the financial stability of higher educational institutions were identified.

The paper performs clustering of universities on the basis of indicators of sustainability potential using R programming language. Theoretical bases of potential of sustainability of institutions of higher education are substantiated, the definition of the concept “sustainability potential” is offered. The groups of indicators of sustainability potential are systematized, including: scale indicators, financial indicators and indicators of external competitiveness assessment. The methodological principles underlying the research, such as dynamic, unified, systemic and holistic, are determined. The algorithm for constructing clusters of universities using R programming language is described. University clusters were built and analyzed according to similarity of indicators. The advantages and disadvantages of the clustering method using R programming language for performing an analysis of the potential of sustainability of universities, the possibility of applying this approach in further research in the labor market, are identified.

Purpose. To assess the state of budget financing of Ukrainian HEIs, determine their funding structure, and identify prerequisites for developing hybrid financing as a tool for stability and strategic development. Methodology. Dynamic and structural analysis, the Hirschman-Herfindahl index (HHI(DI) and such methods as quantitative, arithmetic mean, limit values, graphic, visualization, and system methods were used in the research process. The practical testing of research hypotheses was carried out on the basis of a comprehensive approach to the financing of HEIs of Ukraine and a panel sample of 35 universities, which takes into account rating indicators, industry and regional aspects. Findings. Transformation processes at various levels are linked to trends such as reduced budget funding, structural changes, staff and student migration, decreased demand for additional services, and military factors, creating prerequisites for hybrid university funding. The article identifies conditions for hybrid financing, highlights negative trends in HEIs budget financing –including systemic underperformance and inflation impacts – and analyzes income diversification in Ukrainian universities using the HHI(DI). Limiting and average values were determined using the quantitative method, which made it possible to classify universities into sustainable (HHI(DI)  0.55) and risky (HHI(DI) > 0.55) ones; tendencies towards a slight diversification of universities’ incomes are revealed; a conceptual model is proposed of hybrid financing of universities to expand their financial autonomy, based on cooperation between university management, stakeholders, and staff core, with the aim of creating value propositions which satisfy the needs of stakeholders and generate cash flows; a new approach to the division of hybrid financing tools into three groups is proposed: passive or image-based, active-intellectual, and passive-innovative ones. This approach is innovative in the development of financial strategies for universities. Originality. New tools for making management decisions aimed at ensuring financial stability and developing financial strategies for universities are proposed. In particular, they include an original approach to the classification of universities into sustainable and risky ones based on the value of the HHI; the conceptual model of hybrid financing of universities, which promotes the expansion of their financial autonomy; the innovative approach to the division of hybrid financing instruments into three categories: passive or image-based, active-intellectual, passive-innovative. Practical value. The study’s results can be used to make management decisions on expanding financial autonomy of universities. The introduction of the conceptual model of hybrid financing will contribute to the diversification of income, increase in financing, as well as ensuring financial stability and strategic development of universities.