Data on global financial statistics demonstrate that total losses from fraudulent transactions around the world are constantly growing. The issue of payment fraud will be exacerbated by the digitalization of economic relations, in particular the introduction by banks of the concept of "Bank-as-a-Service", which will increase the burden on payment services. The aim of this study is to synthesize effective models for detecting fraud in digital payment systems using automated machine learning and Big Data analysis algorithms. Approaches to expanding the information base to detect fraudulent transactions have been proposed and systematized. The choice of performance metrics for building and comparing models has been substantiated. The use of automatic machine learning algorithms has been proposed to resolve the issue, which makes it possible in a short time to go through a large number of variants of models, their ensembles, and input data sets. As a result, our experiments allowed us to obtain the quality of classification based on the AUC metric at the level of 0.977‒0.982. This exceeds the effectiveness of the classifiers developed by traditional methods, even as the time spent on the synthesis of the models is much less and measured in hours. The models' ensemble has made it possible to detect up to 85.7 % of fraudulent transactions in the sample. The accuracy of fraud detection is also high (79‒85 %). The results of our study confirm the effectiveness of using automatic machine learning algorithms to synthesize fraud detection models in digital payment systems. In this case, efficiency is manifested not only by the resulting classifiers' quality but also by the reduction in the cost of their development, as well as by the high potential of interpretability. Implementing the study results could enable financial institutions to reduce the financial and temporal costs of developing and updating active systems against payment fraud, as well as improve the effectiveness of monitoring financial transactions

The article proposes an approach to analyzing reliability factors of commercial banks during the 2014–2017 systemic crisis in the Ukrainian banking system, using the Kohonen self-organizing neural networks and maps. As a result of an experimental study, data were obtained on financial factors affecting the stability of a commercial bank in a crisis period. It has been concluded that during the banking crisis in Ukraine in 2014–2017, the resource base of a bank was the main factor of this bank stability. The most preferred sources of resources were funds from other banks (bankruptcy rate of 5.7%) and legal entities (bankruptcy rate of 8%), and the least stable were funds from individuals (bankruptcy rate of 28.5%). The relationship between financial stability and the amount of capital and the structure of bank loans is less pronounced. However, one can say that banks that focused on lending to individuals experienced a worse crisis than banks whose main borrowers were legal entities. The tools considered in the article (the Kohonen self-organizing neural networks and maps) allow for efficiently segmenting data samples according to various criteria, including bank solvency. The “hazardous” zones with a high bankruptcy rate (up to 49.2%) and the “safe” zone with a low rate of bankruptcy (6.3%) were highlighted on the map constructed. These results are of practical value and can be used in analyzing and selecting counterparties in the banking system during a downturn.

Purpose – the purpose of this paper is to propose a method for integral assessing the priority level of specific stakeholders in the model of stakeholder management. Research methodology – the paper develops ideas of matrix approach to assessing the priority level of individual stakeholders and proposes a method for obtaining more accurate integral assessment based on analysis of a set of indicators, taking into account factors of subjective estimates. Findings – the integral assessment of the priority level of specific external stakeholders improves estimates’ accuracy and provides a practical framework for the development of successful corporate social responsibility strategies. It has been substantiated by the application of the proposed method for prioritising suppliers of a large Ukranian metallurgical company. Research limitations – there are requirements for a linear or quasi-linear nature of the relationship between the numerical value of the stakeholder’s priority index and its interpretation on a “better to worse” scale within the framework of the proposed method of evaluation. Practical implications – integral assessments of stakeholder priority obtained from the results of the proposed method can be used as a tool for reasonable comparison, selection of strategic stakeholders and building programs for interaction with them. Originality/Value – unlike most existing methods of stakeholder analysis representing a generic list of priority stakeholder groups the method proposed in the paper provides an integral assessment of priority level of specific stakeholders from the category of the immediate environment through a system of indicators, taking into account factors of subjectivity

У статті досліджено стан та проблеми імплементації міжнародних стандартів у галузі корпоративної соціальної відповідальності у практику українських суб’єктів промислової діяльності. Охарактеризовано групи міжнародних документів та ініціатив у сфері корпоративної соціальної відповідальності. Сфокусовано увагу на необхідності виділення в окрему групу міжнародних документів, що містять вимоги щодо управління окремими сферами корпоративної соціальної відповідальності. Узагальнено передовий світовий досвід впровадження соціально відповідальних ініціатив у корпоративну практику через дотримання вимог міжнародних стандартів та охарактеризовано особливості їх імплементації суб’єктами бізнесу в Україні. Визначено, що локомотивом на шляху інтеграції соціальних відповідальних політик і практик у корпоративні системи менеджменту в Україні є представники великих промислових підприємств національного походження або міжнародних інтегрованих груп. Установлено головні причини гальмування впровадження міжнародних стандартів у галузі корпоративної соціальної відповідальності в Україні. The paper studies the state and problems of implementation of international standards in the field of corporate social responsibility in the practice of Ukrainian subjects of industrial activity. Groups of international documents and initiatives in the field of corporate social responsibility are characterized. The focus is on the need to allocate a separate group of international documents containing the requirements for managing specific areas of corporate social responsibility. The best practices of implementing socially responsible initiatives in corporate practice have been summarized in compliance with the requirements of international standards. The peculiarities of their implementation by business entities in Ukraine have been characterized. The representatives of large industrial enterprises of national origin or international integrated groups have been determined to be a locomotive on the path of integration of socially responsible policies and practices into corporate management systems in Ukraine. The non-financial reporting prepared in accordance with international standards (Global Reporting Initiative, AccountAbility 1000 Series Guidelines, etc.) has been established as the main tool for implementing social, environmental and ethical principles in corporate governance. The main reasons slowing down implementation of international standards of corporate social responsibility in Ukraine have been studied. These problems include the lack of funds due to the financial weakness of Ukrainian enterprises; low level of information and financial transparency of business and fear of increasing the degree of openness; tax pressure, imperfection of the legal framework, which affects the motivation and ability to undertake socially responsible activities of enterprises; an underdeveloped public-private partnership mechanism that reduces the opportunities for attracting resources of business sector to jointly address important socio-economic development challenges in local communities; insufficient experience in implementing socially responsible measures etc. The introduction of short-, medium- and long-term measures at the state level to overcome problems and stimulate the development of corporate social responsibility has been proposed.

In Ukraine, card payment systems develop at a rate similar to that of modern digital payment instruments in most European countries. The purpose of the paper is to establish interdependence and explain the nature of changing situations in the market of bank payment cards (BPC) taking into account the dynamics of economic development parameters in non-financial sectors of the Ukrainian economy. The methodology of the study includes graphic methods analyzing the dynamics of economic development indicators and a method for analyzing the cause-and-effect relationship between the studied parameters considered with different lags. Results showed that the most significant parameters for the development of the payment card infrastructure were the level of provision with POS terminals and the share of non-cash transactions. Their correlation with the economic development indicators reached 0.97. Up to the stage when the volume of non-cash payments by cards reached 5% of GDP, the impact of the BPC market on the change in the level of economic development had been insignificant according to the general idea. The development of the economy up to that point stimulated the development of the BPC market. Subsequently, the BPC market that was already sufficiently developed became one of the drivers aimed at the development of non-financial sectors of the Ukrainian economy after overcoming the 5% GDP level.