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Foreign economic cooperation between Ukraine and EU countries on the agricultural market and food industry under the influence of financial and credit policy instruments
(Polskie Towarzystwo Technologów Żywności, 2026) Gudz, Iurii; Tulush, Leonid; Pochernina, Nataliia; Nykonenko, Oksana; Sauliak, Oleksandr
Background. Understanding structural shifts in Ukraine's agricultural exports, including raw materials for food processing and value-added food chains, is crucial for enhancing the competitiveness of its food industry. This study aimed to determine the impact of financial and credit policy and support mechanisms on structural changes in foreign economic cooperation between Ukraine’s agricultural sector and the European Union. The methodology included an analysis of official statistics for 2008 ÷ 2024, the construction of trade openness indicators, and a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis. Results and conclusions. The findings indicated a steady shift in the geography of Ukraine’s agricultural exports in favor of the European Union: its share increased from approximately 25 ÷ 30 % between 2008 and 2010 to 60 ÷ 66 % between 2023 and 2024, while the share of the Commonwealth of Independent States (CIS) declined to around 3 %. It was established that the export-to-import coverage ratio exceeded 1 between 2021 and 2022, indicating a positive trade balance, but fell to 0.66 in 2024 due to war-related and logistical constraints. The dynamics of niche product exports were also analyzed: sugar exports reached around 700,000 tons, poultry meat exceeded 300,000 tons, honey amounted to 35,000 ÷ 50,000 tons, and juice exports were 10,000 ÷ 15,000 tons, significantly surpassing the tariff quotas. It was concluded that an adaptive financial and credit policy strengthens Ukraine’s position in the European Union market; however, further integration will require substantial investment in food processing, production modernization, and the development of high value-added food products meeting EU quality standards.
Digital transformation of education as a prerequisite for innovative activity and technological development of the economy
(Baltija Publishing, 2026-03-13) Покорни, Наталія Сергіївна; Pokorny, Natalia
The subject of the present study is the digital transformation of higher education as an institutional prerequisite for innovative activity and technological development of the economy. The work considers the digitalisation of universities as a mechanism for accelerating the reproduction of human capital, enhancing the quality of competence training, and reducing time lags between the generation of knowledge and its practical application in business and the public sector. The theoretical basis of the study is formed by modern approaches to the knowledge economy and innovation ecosystems, within which universities are treated as key elements of technological modernisation through education, science, knowledge transfer, and interaction with industry. The objective of the present study is twofold: firstly, to provide a robust theoretical and empirical basis for understanding the impact of digital transformation on innovation processes and technological upgrading in the economy; and secondly, to identify the key channels of such impact in the context of the growing role of digital platforms, artificial intelligence, and educational analytics. The research methodology is based on systemic, institutional and structural-functional approaches. These are supplemented by a comparative analysis of university digitalisation practices and a logical generalisation of the mechanisms of competence formation. Analytical and synthetic methods were employed to develop an integrated conceptual framework combining the infrastructural, organisational, pedagogical and managerial elements of digital transformation in higher education. The results obtained prove that comprehensive digital transformation has the greatest effect on innovative activity. This occurs when the architecture of the learning platform, digital resources and laboratory facilities are modernised simultaneously; when the digital competencies of personnel are enhanced; when personalisation and learning analytics mechanisms are introduced; and when sustainable models of co-operation between universities and industry are formed. The conclusions show that digital educational platforms and intellectual learning support tools speed up programme updates, reduce the cost of accessing knowledge and expand opportunities for continuous learning. This is important for the rapid diffusion of technologies and adapting to the labour market. The study's practical value lies in its potential to inform the development of digital university strategies aimed at increasing innovation potential, technological competitiveness and economic sustainability.
Legal integrative framework in the european union: analysis of the key principles and their influence on the national legislation
(2026) Novitskyi, Vladyslav; Krusian, Anzhelika; Shynkar, Tetiana; Demydenko, Volodymyr; Lemekha, Roman
Legal integration in the European Union is a systemic phenomenon which goes beyond the coordination of national legislation and forms a supranational regulatory mechanism. The relevance of the study stems from the need to understand the role of the principles of legal integration as the basis of the EU's legal unity, and to analyze their impact on the transformation of legal systems of individual countries in the context of the growing volume of EU rules and the evolution of integration processes. The aim is to clarify the essence, structure and practical impact of the EU legal integration principles (rule of law, direct effect, subsidiarity, proportionality) on the formation and implementation of national legislation of the Member States, as well as to assess their role in creating a single legal space. The study is based on dialectical, hermeneutical, historical and legal, and comparative legal methods. The author analyzed the EU founding treaties, secondary legislation, case law, and constitutional provisions of the Member States. Modeling and forecasting methods were used to assess the prospects for the development of legal integration. It is established that legal integration in the EU forms an autonomous system that harmonizes national legal order systems through the rule of law. The author identifies the mechanisms of adaptation of national legislation to EU norms, in particular, through subsidiary control and judicial supervision, which ensure a balance between the supranational and national levels. Further research may be aimed at analyzing the effectiveness of the subsidiary control mechanism, deepening the study of judicial influence on legal integration, and forecasting the evolution of the EU legal area in the context of new challenges.
Monitoring Phase Increments in Fuel Supply Adjustment Based on Correlation Analysis of Indirect Measurement Data
(2026) Yenikieiev, Oleksandr; Yevsyukova, Fatima; Borysenko, Anatoliі; Zakharenkov, Dmytro; Martyniuk, Hanna; Zhaksigulova, Dauriya
It is proposed to use correlation analysis methods to process indirect measurement data when monitoring the incremental сylindrical phase delays referenced to the first cylinder. A method is proposed for restoring the optimal parameters of stratified charge delivery to the combustion chambers of piston-type internal combustion engines. TThe conceptual framework for the development of software and hardware systems incorporating feedback control based on the state of the measurement signal, represented by crankshaft rotational irregularities, has been established. A deterministic mathematical model representing the torque transmission architecture of the powertrain is formulated as a mechanical system with three degrees of freedom, taking into account energy dissipation due to friction. The motions of the masses of the mathematical model are described by a deterministic system of linear differential equations. The parameters of these equations are normalised using the theorems and methods of similarity theory. The Laplace transform under zero initial conditions is applied to solve the resulting system of differential equations. Using the method of determinants and the Mathcad software environment, the information links between the cylinder torques and the signal of uneven rotation of the first crankshaft mass were established. In the Matlab software environment, special points were identified and a simplified representation of the torque transfer functions was obtained as a result of their analysis. A limited Fourier series using Mathcad software approximated the cylinder torques. A computational scheme was developed for simulating deterministic signals characterizing the rotational irregularity of the first crankshaft mass. The additive disturbance superimposed on the measurement signal is modeled as structured white noise with a frequency spectrum constrained to ten harmonic components. Within the computer modeling framework, the output signal generation utilizes an approach based on the regulation of information pathway lengths in neural network structures to define the gain coefficients corresponding to the aggregated torque amplitudes of individual cylinders. For the first time, an auxiliary algorithm was developed to monitor incremental phase delays of the cylinders relative to the reference (first) cylinder by calculating the mutual correlation function between the rotational irregularity signal of the first crankshaft mass and the torque output of the first cylinder. The software application for calculating the reciprocal correlation function is implemented in the program Mathcad. As a result of the analysis of the mutual correlation function graph, three distinct maxima were identified. The initial peak of the computed mutual correlation function corresponds to the phase associated with the nominal torque generation of the second combustion chamber. The second peak reflects the standard torque phase of the third chamber, while the third peak indicates the reference phase for the first combustion unit. Furthermore, the proportional values of these maxima align with the gain factors assigned to each cylinder's torque in the computational summation scheme. The cross-correlation between the processed measurement signal and the torque signal of the first cylinder was evaluated under conditions of additive stochastic interference. Analysis of the correlation curve demonstrates that a measurement uncertainty of approximately 14% in the rotational non-uniformity of the primary crankshaft mass does not preclude the effective application of correlation analysis techniques for phase shift tracking in the fuel delivery timing across engine cylinders.
Integrating Asset Confiscation Mechanisms into Patrol Policing: Comparative Legal Insights and the Ukrainian Context
(Cambridge University Press, 2026) Sobko, Ganna; Kravchuk, Petro; Yasynok, Mykola; Kovalchuk, Oleksii; Omelchenko, Oleksandr
This article explores how asset confiscation and redistribution mechanisms can enhance the operational efficiency and accountability of Ukraine’s patrol police, with the Odesa region serving as a case study. Drawing on comparative insights from the United States, Germany, France, Italy and Canada, the research employs a mixed-methods approach combining legal, empirical, and statistical analysis (2019–2023). The findings indicate that, although patrol police performance and transparency have improved, the lack of a structured framework linking recovered criminal assets to local policing initiatives constrains long-term sustainability. Adapting international best practices, the study proposes legislative and institutional reforms to ensure that confiscated assets are transparently reinvested in patrol operations, officer training, and community safety programmes. The results contribute to ongoing discussions on aligning Ukraine’s asset recovery mechanisms with EU standards and strengthening public trust through accountable resource management.
History and Technological Innovations: The Impact of Technological Progress on the Course of Historical Events: A Systematic Review
(PREMIER JOURNAL OF SCIENCE, 2025-10-28) Xhelaj, Blerina; Dinaj, Shefqet; Tymoshenko, Olena; Khomenko, Olena; Kravchuk, Petro
Technological breakthroughs shaped economic, political, and social changes in Albania, Kosovo, and Ukraine, according to this study. The research sought to link important technology advances to major historical shifts in these countries. The methodology examines how technology advances from industrialization to the digital era affected governance, warfare, and economic institutions. Industrialization in Albania in the 20th century increased manufacturing output, while Kosovo’s post-war reconstruction focused on energy and telecommunications advances. Technological improvements in agriculture and aerospace helped Ukraine expand economically, increasing agricultural production by 25%. Digital revolution has increased economic integration in all three nations, with Ukraine becoming a key IT outsourcing hub and Kosovo witnessing growing digital entrepreneurship. These trends can be quantified using GDP growth, employment movements, and technological adaption data. The study shows how technology has affected political stability, economic development, and social transformation in various locations. The paper discusses the long-term effects of technology progress on human civilization and how Albania, Kosovo, and Ukraine may use innovation for sustainable development.
Implementing a circular economy strategy in Ukraine’s agricultural sector
(2025) Yavorska, Tetiana; Kyrylov, Yurii; Pochernina, Nataliia; Khakhula, Bohdan; Tatarchuk, Andrii
This article develops a management strategy for Ukrainian agricultural enterprises based on circular economy principles. The study addresses the urgent need to restore resources, strengthen resilience, and align with the European Green Deal under martial law. It explores how agro-circular cycles can be integrated into enterprise management, which indicators best assess their efficiency, and what policy and organizational conditions enable large-scale adoption. The methodology combines analysis of Ukrainian and EU regulations and national statistics. Challenges include weak state support, war-related infrastructure damage, and low eco-innovation integration. Recommendations stress investments, biogas and biomass technologies, and institutional frameworks for sustainable recovery. The findings emphasize the importance of innovation as knowledge-driven eco-technologies that enhance efficiency and resilience. In this sense, the proposed actions contributes not only to sustainable growth but also to rural well-being, competitiveness, and long-term national security. These efforts will promote green economy principles, improve the well-being of rural populations, and boost social responsibility for energy recovery. Additionally, the state can play a crucial role in promoting green investments, fostering competitiveness among local green product producers, and encouraging a shift toward sustainable practices within the rural population.
Research of Types of Learned Helplessness of Future Specialists in Foreign Philology.
(2023-11-03) Tsymbal, S.; Bokhonkova, Y.; Yaremenko, N.; Buhaiova, N.; Бохонкова, Ю.; Цимбал, С.; Яременко, Н.; Бугайова, Н.
Thepurpose is to conduct empirical research and theo-retically substantiate the types of learned helplessness of future specialists in foreign philology in the context of educational and professional training. The respond-ents of the empirical research are graduates of the final years of study: students of the fourth year – Bachelor’s degree seekers and students of the second year – Mas-ter’s degree seekers, the total number of 432 individu-als (M=24.23; SD=±3.08; Me=24; Mo=22). The respond-ents were majoring in a single or double specialty. Methods.Valid and reliable psychodiagnostic tools that have been adapted and tested were used: “Attri-butional Style Questionnaire” (ASQ) (Peterson et al., 1982); Ehlers’ questionnaire “Motivation for Achieving Success and Avoiding Failures” (MASAF) (Elers, 2002); the questionnaire “Level of subjective control” (LSC) (Bazhin et al., 1984); Zung Self-Rating Depression Scale (SDS) (Zung, 1965). Results.The provided descriptive statistics confirms that there are no statistically sig-nificant differences between the obtained empirical data and the results of similar measurements. Eighteen statistically significant correlations (р<.050; р<.010) of attributive style parameters with independent var-iables were found: motivation for achieving success, motivation for avoiding failures, level of depression, level of subjective control in educational and profes-sional activities, areas of success, areas of failure. It was established that the level of depression (LD) has the strongest correlations with the attributional style scales: permanence of the bad (R=.189; p<.010), perva-siveness of the bad (R=.221; p<.010) and personaliza-tion of the bad (R =.185; p<.010), which gave grounds to consider depressive states as the most dangerous in the formation of learned helplessness. Cluster anal-ysis using the k-means method revealed four types of learned helplessness of future specialists in foreign philology: “Depressive learned helplessness” (cluster 1, n=31; 13.36%), “Avoidant learned helplessness” (clus-ter 2, n=75; 32.33%), “Optimistic learned helpless-ness” (cluster 3, n=68; 29.31%), “Uncontrolled learned helplessness” (cluster 4, n=58; 25.00%). Discussionandсonclusions.It was substantiated that the types of learned helplessness are personal formations that were manifested in a high level of depression, the dom-inance of pessimistic parameters of the attributional style of behavior, a high level of motivation for avoid-ing failures, a low level of motivation for achieving suc-cess, and low/lack of subjective control of the events of educational and professional activities. The appro-priateness of implementing the obtained results in the educational and scientific processes of training future specialists in the socionomic profile was empiri-cally clarified and theoretically substantiated.
Effectiveness of Digital Integration in the Economy and Society Amid Ongoing Economic Transformation
(International Journal of Organizational Leadership, 2025-03-17) Bobro, Natalia; Vasylieva, Nadiia; Suvorova, Svitlana; Golovina, Olena; Hulinchuk, Roman
Researching the effectiveness of digital adaptation of the economy and society at the current stage of economic transformation is relevant because countries seeking to strengthen their positions in the global economy are increasingly interested in effective mechanisms of digital adaptation aimed at increasing productivity and innovation and achieving long-term sustainable development of society. The main aim of this research article is to study the effectiveness of the digital adaptation of the economy and society at the current stage of economic transformation. The study used several general scientific methods of cognition, including synthesis of literature sources, comparative analysis, methods of systematisation and generalisation, and statistical data analysis, to form the initial data of regression analysis, which identified the relationships between dependent and independent variables and forecast trends in the growth of Ukraine's digital adaptability. According to the results of the regression analysis, the model that takes into account social indicators (M0) has a high level of correlation but needs to improve the forecast accuracy. The model that considers economic indicators (M1) has the highest correlation and explanatory power and demonstrates high forecast accuracy. The model that views all possible variables (M2) has benchmark values of correlation and explanatory power, but the inclusion of additional indicators can reduce the forecast accuracy in general. The level of digital adaptability will significantly impact Ukraine's economic and social stability in the future. However, facing current challenges requires strengthening infrastructure and institutional capacity and focusing on integrating digital technologies into all spheres of life.
A method of representing design solutions in complex systems through model-parametric spaces
(2025) Rykhalskyy, Oleksiy
On the side of highly complicated systems, it is necessary to have powerful frameworks that can present solution design integration and visualization in the best possible manner, dealing with clarity, scalability, and adaptability. This work aims to formulate an innovative approach for modeling design solutions using model-parametric spaces to create a systematically structured yet convenient method for dealing with multidimensional design complexities. This investigation is conducted within a mixed-method research design combining qualitative assessments of system architecture with quantitative modeling techniques to formulate parametric spaces where design variables and their interrelations are parameterized systematically. The validation of that methodology was done in a way that involves simulated operational scenarios and expert-driven evaluation, which shows the robustness and versatility of the understanding achieved using the approach in different fields of study. Results reveal the utility of model-parametric spaces in vastly increasing the interpretability, modularity, and optimization capability of complex design processes. Therefore, the study argues that this methodology framework is a solid and reasoned basis for decisions in the systems engineering domain and positively explains both research and industrial applications. These future research trajectories determined by this study include further extensive validation within actual project settings to make the developed software more applicable and impactful in the physical world.
Innovation financing and its impact on the agricultural sector of Ukraine
(2025) Davydenko, Nadiia; Давиденко, Наталія; Vorobei, Ruslan; Воробей, Руслан; Maslo, Andrii; Масло, Андрій
The agriculture sector of Ukraine generated from 9,1% to 14,2% of Ukrainian GDP during 2012-2023 and is critical for ensuring the macroeconomic stability of the country, with a share in total export income between 27,8% and 57,2% during the same period. The financial performance and sustainable development of the Ukrainian agro-industrial sector have a major impact on the socioeconomic stability of society, especially at the current time, and also on the prospects of economic recovery and further growth. The market value of industry-forming agro-industrial enterprises reflects the efficiency of their economic activity and ability to generate added value. For the prospect of future economic recovery, it is important to investigate how innovations are associated with the economic development of countries in the world, and specifically, how government spending on research in the agriculture sphere is historically associated with the market value of Ukrainian agro-industrial companies. Consequently, the article aims to evaluate the association between innovation development and economic performance at the level of countries and the level of the Ukrainian agricultural sector. For the achievement of the research aims, comparative economic analysis and statistical methods were used, such as regression analysis. Based on the study results, it is possible to conclude that innovation development is associated with economic development and is a slightly more important prerequisite for the economic prosperity of countries that have a share of oil exports of less than 10% of total exports. Also, it was found that during 2013-2023, the total market value of selected agro-industrial companies positively correlated with government spending on R&D in Ukraine. With the regression model, it is possible to explain around 68% of selected agro-industrial companies’ market value variation and closely capture the general trend of 2013-2023 stock price movements. Study results can be used by policymakers to make data-based strategic decisions.
Redesigning the knowledge of robotic system engineers through the model-parametric space of information technology
(2025) Rykhalskyy, Oleksiy
The relevance of the topic is driven by the rapid development of digital technologies and the growing complexity of designing robotic systems, which requires new approaches to the representation, structuring, and verification of knowledge. The need to integrate heterogeneous models and parameters into a single information environment determines the importance of the study for industrial and scientific applications. The purpose of the study is to investigate methods of representing the knowledge of robotic system designers based on the model-parameter space and to describe the possibilities of their practical use. The object of research is the process of formalizing knowledge and integrating models in the design of complex technical systems. The methodological basis of the study is a systematic approach, semantic modeling methods, interval analysis, and theoretical set operations on knowledge neighborhoods. As a result of the work, the concept of building a model-parameter space () was formed, a classification of basic concepts and categories in the field of design was developed, and formal measures of compatibility, integrity, and completeness of knowledge were proposed. Algorithms for constructing knowledge neighborhoods and integrating models into holistic methodologies with automated consistency checking have been developed. The structure of the tool and software complex to support the processes of model analysis and synthesis in robotic systems is presented. The practical significance of the results lies in the possibility of using the proposed approaches in the development of digital engineering platforms, reducing the risk of design errors, increasing the adaptability of design solutions, and reducing the development time of complex technical systems.
International cooperation in the investigation of economic crimes related to cryptocurrency circulation
(2021) Kreminskyi, Oleh; Kuzmenko, Olena; Antoniuk, Anastasiia; Smahlo, Olha
The cross-border nature of transactions with virtual currencies and the use of anonymity technologies exacerbates the difficulties in investigating economic crimes. The purpose of the article was to study the effects of international cooperation in the investigation of economic crimes related to the circulation of cryptocurrency. The research methodology is based on the method of content analysis of reports, recommendations and standards of the FATF (Financial Action Task Force) for 2012-2020, as a leading international organization for the prevention and development of policies for the regulation of economic crimes related to the circulation of cryptocurrencies. The results demonstrate the following effects of international cooperation in the investigation of economic crimes related to cryptocurrency: 1) the need to use a risk-oriented approach of the international community at the global level, coordination of government efforts to prevent economic crimes; 2) formation of a network of organizations that provides an effective balance between existing threats and opportunities for cryptocurrency circulation; 3) the development of free, decentralized management networks at the global level, which is an innovative and effective way to combat criminal activity, compared to traditional centralized forms of coercion in an era of rapid and unpredictable technological change. The considered experience of the absence of regulatory acts of cryptocurrency circulation and taxation of virtual assets on the principle of traditional assets indicates the absence of concern about illegal activities and possible economic crimes in this area. At the same time, decentralized and quasi-autonomous virtual assets could potentially threaten years of global anti-money laundering efforts. There is a “race” in the international community for leadership in combating economic crime. However, such efforts to establish legitimate jurisdictions that meet the requirements of the AML (Anti-Money Laundering) provide few measures in practice to counter and limit the opportunities for money laundering in other jurisdictions.
Combating cybercrime: Economic and legal aspects
(2021) Sviatun, Olena; Goncharuk, Olga; Chernysh, Roman; Kuzmenko, Olena; Kozych, Ihor
Cybercrime threatens the national security of different countries around the world. The growth of cyberattacks destabilizes the international order and disrupts the normal functioning of international relations. The purpose of the academic paper is to analyze the causes and economic consequences of the level of cybercrime in the world and to identify modern legal arrangements to combat cybercrime. In order to achieve the purpose outlined, the following methods have been used, namely: the method of comparison, analysis, element-theoretical method, method of generalization and analogy. It has been established that the level of cybercrime in the world and the economic consequences of its impact tend to increase. It is estimated that in 2020 the total cost of cybercrime and cybersecurity will exceed one trillion US dollars, which is more than 1% of world gross domestic product. The reasons have been determined why the number of cybercrimes are increasing (electronization and computerization of most industries, public sector; low level of operational cooperation; inconsistency of legal policy with the realities of cybercrime; development of cyber-attack mechanism; modernization of cybercrime; obstacles to international cooperation and so forth). The cause and effect interrelationship between the level of cybercrime, cybersecurity and legal methods of counteraction in different countries of the world has been proven. Three interrelated ways of the legal mechanism of counteraction to cybercrime have been offered, namely: the general, organizational and preventive ones. The expediency of international cooperation in the development of global strategies and other measures to combat cybercrime has been emphasized.
Features of the Investigation of Corruption Abuses in the Medical Industry
(2020) Kuzmenko, Olena; Lazebnyi, A.; Komyshniuk, Yu.; Yusupov, V.; Herasymenko, L.
On the basis of the analysis of the reporting information of international organizations to counteract medical corruption, a review of modern scientific sources on corruption in the healthcare sector, the types of corruption abuses in the medical industry are identified. The classification of corruption abuses is presented taking into account the method of committing the offense and its subject - a certain worker of the medical field. It was found that there is insufficient coverage in world information sources of procedures for investigating corruption abuses in the medical industry. There are revealed features of the investigation of corruption abuses of medical workers committed with the use of their official position, using the preparation of medical documentation, and cases of extortion and obtaining unlawful benefits. There are presented sources for obtaining information and the types of data that are necessary to prosecute a medical worker who committed offences involving corruption. Among the complex of forensic methods for investigating medical corruption, the authors focused on the consideration of key and important for proof procedural actions - examination of medical documents; examination of the place where the medical professional was given of an undue benefit; the work of the accuser (informant) of medical corruption, his interrogation; simultaneous interrogation of participants in a corruption offense in the medical industry. There was proposed procedure and tactics for interrogating the accuser, who reports about obtaining unlawful benefit by a specific medical professional. Caveat has been identified that must be applied when conducting the simultaneous interrogation of two or more persons when investigating corruption in the medical industry.
Digital Transformation for Cost Optimisation and Sustainable Business Operations
(European Journal of Sustainable Development, 2025-06-01) Bobro, Natalia; Lisova, Ruslana; Parfentieva, Olena; Dmytrovska, Veronika; Kyrylenko, Serhiy
Digital transformation is a critical factor in the modern development of enterprises, which reduces costs and increases business processes' efficiency. In the context of economic instability and global challenges, digital technologies are becoming an essential tool for achieving competitiveness and sustainability of enterprises. The study aims to assess digital technologies' impact on reducing enterprises' costs in various sectors of the economy. The research methodology is based on analysing literature sources, a survey of business representatives, a comparative analysis of financial indicators before and after the introduction of digital technologies, and case studies. The study results show that cloud computing and business process automation provide the most significant cost savings, with an average savings rate of 24.67% and 29.83%, respectively. Big data analytics helps to optimise inventory and manage marketing campaigns, while IoT reduces maintenance and energy costs. CRM systems have shown the lowest cost-effectiveness but contribute to increased customer loyalty. The practical significance of the results lies in the possibility of their application for developing enterprise digitalisation strategies that consider the specifics of the industry and business scale. Further research could be aimed at studying the long-term effects of digital transformation and analysing the impact of innovative technologies, such as artificial intelligence and blockchain, on the economic efficiency of enterprises.
Development of the intelligent decision-making support system to manage cyber protection at the object of informatization
(2017) Lakhno, Valeriy; Лахно, Валерій; Boiko, Yuliia; Бойко, Юлія; Mishchenko, Andrii; Міщенко, Андрій; Kozlovskii, Valeriy; Козловський Валерій; Pupchenko, Oleksandr; Пупченко, Олександр
We proposed an architecture for a protection control system of the object of informatization (OBI) with the subsystem of intelligent support for making decisions on the operational management of cyberprotection. The proposed architecture, in particular, can be used under conditions of the incompleteness of knowledge about the state of OBI protection. We developed a model for the operational management of cyberprotection at OBI and formed a rational complex of protection means. The model is based on the morphological approach. The model allows, taking into account morphological matrices for each of the five proposed perimeters prepared by the intelligent decision-making support system (IDMSS), generation of variants of sets that consider the compatibility of software and hardware tools of information protection. It is proposed to make the choice on the optimal variant of a set for the perimeter using an objective function that maximizes the ratio of the summary indicator "protection of information" to the summary indicator "expenditures". The software is realized and tested under real conditions of IDMSS in the contours for the organizational-technical and operational management of the OBI protection. An improved architecture of IPCS is different from the existing solutions in the possibility of simultaneous optimization of sets of software and hardware tools for the examined perimeters of OBI, for both centralized and decentralized variants for processing the information. In this case, an analysis of the level of protection of OBI is performed in real time. It is proven that the use of the developed IDMSS makes it posible to significantly reduce the planned spending on an information protection system, as well as reduce the time it takes to inform decision-makers about information security incidents.
Business criminal investigation: Foreign experience and legal regulation in Ukraine
(2023) Bozhyk, Valerii; Божик, Валерій Іванович; Vlasova, Ganna; Власова, Ганна Петрівна; Stryzhevska, Anzhela; Стрижевська, Анжела Анатоліївна; Tsymbal, Petro; Цимбал, Петро Васильович
The research relevance is determined by the need to reveal effective methods and strategies for investigating business-related criminal offences to ensure an effective fight against corruption and legal security in the economy. The study’s objectives are to identify optimal strategies and tools, as well as to develop recommendations for improving legal regulation in Ukraine. The hermeneutic method, comparative legal method, and case study method were used in the study. The analysis of the Criminal Code of Ukraine, in terms of crimes in economic activity, revealed the main difficulties that exist in the investigation of economic crimes in Ukraine, such as gaps in criminal legislation and insufficient level of efficiency of investigations due to corruption of law enforcement agencies and business representatives. An analysis of the experience of investigating criminal offences in business activities in Germany, the USA, the UK, and the Republic of Lithuania has made it possible to conclude that there are similarities and differences in the legal acts on the investigation of criminal offences in the business sphere, the structure of specialised bodies and the powers of persons involved in the investigation of such offences. This analysis helped to identify the specifics of foreign approaches to certain aspects of investigations, such as anti-corruption bodies and financial monitoring. The effectiveness of investigation systems in other countries is significantly different, as they have more systematic legislation, and a clear structure of law enforcement agencies and special agencies dealing exclusively with economic crimes, which in turn increases the percentage of solving the relevant crimes. The author suggests possible ways to improve the legislation and practice of investigating relevant crimes. The research on this topic brings new approaches and practical conclusions to science, contributing to the improvement of investigation strategies strengthening the legal framework for combating economic crime and increasing the effectiveness of law enforcement measures in the context of the business sector.
Organizational-legal and accounting-analytical aspects of payroll
(2024) Shterma, T.; Штерма, Т. В.; Fatkhutdinov, V.; Фатхутдінов, В. Г.; Prodanchuk, M.; Проданчук, М. А.; Bernaziuk, O.; Берназюк, О. О.; Synytsia, Yu.; Синиця, Ю. С.
Purpose. To establish directions for improving the organizational, legal, and accounting and analytical aspects of payroll, the state of legal support of the payroll organization. To identify gaps in the legal framework; develop directions for its change. To offer recommendations regarding improvement of payroll accounting organization, increasing incentive function of wages, areas of reorganization of analytical payroll accounting. Methodology. General scientific and special methods of knowledge are used: statistical analysis – to substantiate the inadequacy of institutional legal instruments for operational regulation of payroll accounting; comparison – to expand the use of local law; analysis and synthesis – to identify the reduction of the motivational function of the payroll accounting; induction and deduction – to develop stimulating payroll accounting, changing the salary structure, increasing differentiation in wages; critical analysis – to improve the analytical accounting model; formal and legal methods – to propose a change in legislative norms. Findings. There is a well-founded need for operational reorganization of payroll accounting. For the legal support of operational reorganization, it is proposed to expand the use of local law. Improvements to the analytical accounting model for simplifying data processing, implementation of detailing of payroll accounts, grouping of data by types and forms of payroll are proposed. The approach of reorganizing payroll accounting by changing the shares of the components in the salary structure, ensuring the possibility of normalization and standardization, and expanding the premium form of payroll accounting is proposed. Originality. It is indicated that there are such functions of local law as adaptability, efficiency, providing the opportunity to expand the scope of analytical accounting. The importance of implementing the principle of transparency of payroll accounting to ensure production efficiency is indicated. Changes to the legislation of Ukraine regarding: premium payments, peculiarities of accounting with tying wages to foreign currency, legal definition of in-kind payment are proposed. Practical value. The proposed changes to the legislation of Ukraine, proposals for the expansion of analytical accounting will expand the possibilities of payroll accounting, improve the motivation of employees, and increase the efficiency of production.
Using the variational principle of leveling illumination in images
(2024) Bekesheva, Anastasiia; Khaidurov, Vladyslav; Romanenko, Vladyslav; Yarovoy, Roman
This work describes and practically implements the method of leveling illumination in images of various origins. Insufficient or uneven lighting can result in loss of detail, low contrast, or incorrect color reproduction. Lighting that is too bright can result in areas where detail is lost due to excessive brightness. Also, during the formation and analysis of various medical images, the problem of insufficient illumination of the image arises, that is, the image looks dark, details are difficult to see, especially in the shadows. The practical part of the work contains a description of the mathematical model of the transition from the variational problem (in the optimization form) to the differential form. A comparative analysis of existing computational methods of mathematical physics was also conducted. The working time and the number of iterations for obtaining results that form images with uniform illumination for various images were experimentally determined.

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