No 3 (2025)
Articles
Diagnosis of behavioral characteristics of employees prone to opportunistic behavior
Abstract
The research subject is behavioral characteristics of employees prone to opportunistic behavior in the corporate environment. The research goal is the identification of behavioral characteristics of employees prone to opportunistic behavior and to develop practical recommendations for its diagnosis and prevention at both the personnel selection stage and during the work process. In achieving this goal, the following tasks were addressed: 1. An analysis of personality typology and behavioral patterns characteristic of employees prone to opportunistic behavior was conducted. 2. Models and theoretical approaches to explaining corporate fraud (fraud triangle, MICE model, fraud diamond, etc.) were summarized. 3. Key behavioral indicators of deviant behavior were systematized in the context of pre- and post-contractual interactions. 4. Recommendations for identifying employees with a high level of ethical risk and reducing the likelihood of internal violations were formulated, including psychodiagnostic, organizational-cultural, and control-analytical measures. The research methodology includes analysis and synthesis of domestic and foreign scientific literature in the fields of organizational behavior, applied psychology, and corporate security; comparative analysis of fraud risk models. The scientific novelty lies in the integration of behavioral and organizational-structural approaches to interpreting opportunistic behavior, as well as in the proposal of a comprehensive risk assessment and monitoring system for employees in the dynamics of labor relations. The article substantiates the need for a differentiated approach to diagnosing deviant behavior at the pre-contractual and post-contractual stages. Examples of possible incidents of intra-firm opportunism are discussed, including cases of data leaks and abuses in the IT sphere, which confirm the significance of developing preventive and adaptive control mechanisms. Many organizations struggle to manage the risk of opportunism from employees as it is often an uncomfortable topic for discussion and exposure to the public eye. Therefore, identifying workers prone to opportunism is an important step in investigating opportunistic behavior, as the speed and manner of detecting opportunism can significantly influence the scale of opportunism and can affect the company’s employees: they will know that fraud will eventually be detected and will lead to certain sanctions. This will help reduce the frequency of wrongful actions in the future.
Finance and Management. 2025;(3):1-22
1-22
The use of discriminant analysis for forecasting the limits of achievable growth of industrial enterprises.
Abstract
The subject of the research is enterprises in the metallurgical industry of the Czech Republic. The choice of metallurgical enterprises in the Czech Republic as the object of research is due to the existence of a previously constructed development model of the production structure for such enterprises. The aim of the research is to forecast changes in the production structure of industrial enterprises during their growth and development. The article proposes the use of discriminant analysis to predict the limits of achievable growth for industrial enterprises within the existing production structure. Previously, a methodology for statistical forecasting of the limits of achievable growth using key predictors of organizational transformation was developed. However, unlike the statistical forecasting methodology, the use of discriminant analysis significantly reduces the labor intensity of calculations required to identify the boundaries of achievable growth of an organization within the existing production structure. Discriminant analysis was chosen as the method for conducting the research. The analysis was conducted using Wilks' method with the aid of IBM SPSS Statistics software. The choice of Wilks' method is based on its ability for algorithmic variable selection, ensuring high accuracy of the resulting model. The scientific novelty of the research lies in the scientific justification for the possibility of using discriminant analysis to forecast changes in the production structure of industrial enterprises in the process of their growth and development, based on the production structure development model. Previously, similar studies had not been conducted due to the lack of models that allow for the identification of levels of production structure development and their grouping according to these levels. The discriminant function obtained from the research results provides high accuracy in forecasting (99.7% of initial observations were classified correctly), allowing it to be used for predicting changes in the type of production structure in accordance with the development model of the production structure. The calculation of the values of the constructed discriminant function for the selected industrial enterprise allows for the classification of the enterprise (industrial enterprise, segmented enterprise, etc.) with high probability based on the previously developed production structure development model, as well as predicting directions for its further development within the existing production structure. Thus, the results of the conducted research demonstrate the potential for using the obtained statistical model to forecast changes in the production structure of industrial enterprises.
Finance and Management. 2025;(3):23-32
23-32
Fiscal Response of SMEs: Methodology for Assessment and Practical Application (Case Study of Perm Krai)
Abstract
The fiscal response of SMEs is a key indicator for evaluating the effectiveness of government support and assessing its impact on a region's economic development. Defined as the ratio between the volume of budget investments in the SME sector and the resulting tax revenues, this metric allows for an assessment of the direct efficiency of public expenditures. Importantly, it quantifies how many rubles of tax revenue are generated per ruble of budget investment. Analysis of fiscal response helps identify the relationship between financial support volumes and growth in tax revenues, facilitating more informed allocation of budget resources and optimization of government support measures. The study employs comparative analysis and synthesis of existing approaches to evaluating SME support effectiveness, develops a coefficient for assessing expenditure efficiency, and conducts empirical analysis through collection and examination of budgetary and tax reporting data to evaluate the structure of government support and its impact on fiscal response. A comparative analysis method is also used to match support volumes with tax revenues. The research proposes a quantitative metric—the "SME Fiscal Response Coefficient"—as a tool for evaluating support effectiveness, with calculations based on data from Perm Krai for the period 2019–2024. Evaluating fiscal response requires a comprehensive approach that considers multiple factors influencing SME tax revenues, including expenditures on SME support programs and initiatives, tax expenditures resulting from incentives, and costs associated with maintaining support infrastructure. The study uses tax revenues from SMEs as the primary outcome measure of government support effectiveness. Investigating fiscal response not only assesses the efficiency of existing support measures but also identifies potential improvements, optimizes the structure of government assistance, and develops more effective mechanisms to stimulate SME development. These efforts contribute to increased tax revenues and sustainable economic growth in the region. The methodology and findings provide policymakers with actionable insights for refining SME support programs and maximizing their economic impact.
Finance and Management. 2025;(3):33-60
33-60
Digital public infrastructure for ensuring economic security
Abstract
The process of digitalization affects different areas of government policy. In Russia, this policy is reflected in the Presidential Decree "On the Strategy for the Development of the Information Society in the Russian Federation for 2017–2030" and the approved program "Digital Economy of the Russian Federation". The developed strategies allow us to conclude about the importance of the digitalization process and the introduction of new technologies into the economic management process. An important direction in the development of the information society are: the development of free, sustainable and safe interaction between citizens and organizations, government authorities of the Russian Federation, local governments; improving the efficiency of public administration, economic and social development; the formation of a digital economy. The subject of this research is the practical application of digital technologies in the process of interaction between the state and participants in economic relations and the maintenance of the national economy. The methodological basis of the research consists of theoretical (analysis, synthesis, deduction, induction) and empirical methods (observation, comparison), which are used to examine the policies of different countries in the field of digitalization of economic management and the processes of government-private business relations. Scientific novelty and conclusions. To ensure the implementation of these areas, the concept of digital government is applied, aimed at creating sustainable interaction between the state and citizens and the state and business. This initiative contributes to the timely government response to public demands and business development. The scientific novelty of the study is to identify the main ways of using digital public infrastructure in economic management. Today, the concept of digital government is gradually acquiring new features and increasingly moving away from interaction with intermediaries. When analyzing the development of digital public infrastructure in a number of countries, the author came to the conclusion that this process opened the way for the concept of digital public infrastructure, which uses available digital solutions to respond to public demands in a timely manner and make decisions aimed at ensuring the economic security of the state. Based on the Indian experience, it was concluded that the digital public infrastructure model shows itself to be a promising system to contribute to effective government policy in ensuring economic security. However, despite the general recognition within the UN and G20, the current practice is more focused on interacting with citizens than with businesses.
Finance and Management. 2025;(3):61-83
61-83
Directions of financial risk management in ensuring the financial stability of commercial enterprises
Abstract
Ensuring financial stability as a category opposed to the bankruptcy of commercial enterprises is an important area of financial management. Shocks and risks from a sanctions-based economy have caused problems related to the decline and loss of financial stability, requiring the development of financial management approaches to mitigate risks. The goal is to develop approaches to ensure the financial stability of commercial enterprises based on the representation of its three-component content: financial stability, financial flexibility, and internal reserves. Objectives of the research are : to formulate the content of the three-component financial stability of commercial enterprises; to present indicators for diagnosing the components that constitute financial stability; to perform a diagnosis of financial stability, financial flexibility, and the presence of internal reserves ensuring financial stability in small and medium-sized enterprises involved in the production of mineral fertilizers and nitrogen compounds in the Volga Federal District. The subject of the research is the constituent components of financial stability, risks from a sanctions-based economy that affect them, and the directions of financial risk management applied to mitigate risks. The methods used in this research are general scientific methods: analysis, synthesis, deduction, induction, and classification. Additionally, analytical methods were employed to carry out diagnostic procedures assessing financial stability, financial flexibility, and internal financial reserves. The scientific novelty of the research lies in revealing the content of the components of financial stability and justifying the directions of financial risk management to ensure the financial stability of commercial enterprises. Research results: the content of financial stability is presented as a determinant of the effectiveness of current activities, investment attractiveness, and solvency of commercial enterprises, as well as an author's definition of financial stability is formulated. The content of financial stability is revealed as a unity of three components: financial stability, financial adaptability, and internal financial reserves of commercial enterprises. Problems and directions of financial risk management to ensure the indicated components of financial stability under sanctions-based economic conditions are formulated. Indicators for diagnosing financial stability, financial flexibility, and metrics that characterize the presence of internal reserves ensuring financial stability are outlined, and a diagnostic assessment of these components of financial stability has been conducted based on materials from small and medium-sized enterprises involved in the production of mineral fertilizers and nitrogen compounds in the Volga Federal District.
Finance and Management. 2025;(3):84-105
84-105
Forming a Strategy for Structural Modernization of Russia's Economy in the Face of Sanctions
Abstract
Under the conditions of increasing sanctions pressure and profound transformation of global value chains, the necessity for the Russian economy to transition to a new type of development becomes a defining factor in strategic planning. This article presents a comprehensive theoretical and methodological analysis of the formation of a structural modernization strategy aimed at ensuring the long-term competitiveness and sustainability of the national economy. The study is based on the provisions of Federal Law No. 172-FZ "On Strategic Planning in the Russian Federation" dated June 28, 2014, and takes into account current challenges related to changes in the global economic environment, digital transformation, and institutional constraints. The subject of the study is the methodological foundations for developing a strategy for the structural modernization of the economy of the Russian Federation under sanctioning constraints, including principles for integrating sectoral and spatial approaches, utilizing digital forecasting ecosystems, and mechanisms for inter-agency cooperation in strategic planning. The methodological basis of the research is grounded in systemic and comprehensive approaches, foresight and hindsight analysis, providing the identification of structural interconnections, long-term trends, and evaluation of past experiences. The article addresses the sectoral and spatial levels of modernization and the digital forecasting framework, ensuring the integration of data and the objectivity of conclusions. The scientific novelty of the research lies in the proposal of a multi-level architecture for strategy that combines sectoral and spatial approaches and integrates digital forecasting ecosystems to enhance the rationale for managerial decisions. For the first time, mechanisms for inter-agency cooperation and coordination of interests at the federal and regional levels in the development and implementation of the structural modernization strategy are formulated. The results obtained confirm the need to shift from adaptive measures to comprehensive structural transformations that ensure a balance of national and regional priorities, align strategic planning with budgetary and project management, as well as increase the economy's resilience to external shocks. The developed methodological provisions can be used in the formation of national projects, state programs, and regional strategies for socio-economic development, as well as in improving the normative and methodological framework for strategic planning in the Russian Federation.
Finance and Management. 2025;(3):106-125
106-125
Conflict Management in Educational Organizations: Social and Financial Factors
Abstract
The subject of this study is conflict management in educational organizations, taking into account the influence of social and financial factors. Conflicts are considered not only as a socio-psychological phenomenon but also as a managerial issue with clear economic consequences that affect the sustainability of the educational environment. Particular attention is paid to the analysis of institutional practices, including mediation services and the ombudsman system, as well as the specifics of resource allocation and incentive mechanisms. It is emphasized that the presence of formalized mechanisms of conflict resolution contributes to reducing tension and lowering transaction costs. The study reveals the relationship between the quality of communication, the level of organizational culture, and the performance of educational institutions. The role of transparent managerial decisions and fairness in resource distribution is examined as factors that determine the nature of conflict situations. Such an approach makes it possible to move away from a narrowly pedagogical perspective and view conflicts as a complex phenomenon. The research methods include analysis and synthesis of scientific sources, comparative analysis of conflict management approaches, systematization of identified factors, and case studies of practices in Russian and international educational organizations. This methodological toolkit allowed for the integration of sociological, managerial, and financial perspectives and the consideration of conflicts as a multi-level phenomenon. The scientific novelty of the study lies in the systematization of social and financial factors of conflict management and in substantiating their interrelation with the sustainability of educational organizations. The practical significance is expressed in the recommendations for creating institutional mechanisms of conflict resolution, improving the transparency of resource allocation, and integrating indicators of conflict management quality into the performance evaluation of managers. The findings demonstrate that conflicts can be viewed not only as a threat but also as a source of organizational development if managed constructively. The proposed measures contribute to reducing direct and indirect costs, increasing trust among participants in the educational process, and strengthening the reputation of educational institutions. Thus, the study provides the foundation for a comprehensive conflict management strategy that integrates social and financial dimensions.
Finance and Management. 2025;(3):126-138
126-138
Managing financial risks associated with intellectual property in the context of digital transformation and global competition
Abstract
The subject of the study is the financial risks that arise in the process of creating, using, protecting, and commercializing intellectual property (IP) in a rapidly developing digital economy and increasing global competition. The paper analyzes the essence of IP as a key financial asset, examines its unique characteristics – the complexity of valuation, the uncertainty of useful life and high volatility of value. Particular attention is paid to the transformation of financial risks under the influence of the digital environment, manifested in the acceleration of technological cycles, the expansion of channels for unauthorized use of IP (including AI-generated violations), the emergence of new IP objects (data, AI algorithms) and changing models of its monetization. Risks caused by global competition are also being studied, such as differences in international legal regulation, the need for constant updating of the IP portfolio, and evaluation features in international projects. The research is based on system and financial analysis, risk management theory, economic and mathematical modeling for damage forecasting, comparative analysis of current Russian and international practice, as well as expert assessments. The scientific novelty of the research lies in the development of a refined classification of financial risks of IP, which, unlike previous researches, comprehensively takes into account the specific challenges of the digital environment (risks associated with AI-generated content, blockchain technologies, cyber piracy) and globalization. A comprehensive financial-centered management model is proposed, which for the first time includes a justification for the need to differentiate risk assessment and management methods according to industry specifics and the scale of companies' activities. Based on the analysis of statistical data on the Russian practice of using and protecting IP, the effectiveness of specialized financial instruments (specialized insurance, securitization of IP) to minimize losses is shown. The main conclusions are the confirmation that IP has become a high-risk financial asset, and the demonstration that ignoring its risks leads to systematic distortion of financial statements and erroneous management decisions.
Finance and Management. 2025;(3):139-167
139-167

