Видання зареєстровані авторами шляхом самоархівування
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Item The impact of governance quality on central bank’s independence(LLC “CPC “Business Perspectives”, 2022) Васильєва, Тетяна Анатоліївна; Vasylieva, Tetiana Anatoliivna; Дудченко, Вікторія Юріївна; Dudchenko, Viktoriia Yuriivna; Самусевич, Ярина Валентинівна; Samusevych, Yaryna Valentynivna; Marci, A.; Sofronov, V.The stable functioning of the public finance system requires a rational regulatory apparatus. The central bank occupies a special place in this system. Science and practice prove that the central bank’s political and economic independence determines its effectiveness. Thus, it is crucial to determine the prerequisites for ensuring its independence. The study aims to assess the influence of governance quality on the central bank’s independence, considering the variance of the socio-political development of countries. The analysis was conducted based on 53 countries. Panel regression modeling with random effects was chosen as a research method. The analysis approach involves calculations for the groups of countries that differ in social and political development parameters according to the following criteria: the initial level of the central bank independence; level of human development; political rights freedom; level of civil liberties; and political regime. Socio-political factors significantly affect the central bank’s independence in the following conditions: a high initial level of independence of the central bank, a high level of human development, and an average level of political and civil freedom. At the same time, the governance quality ensures the growth of the central bank’s independence regardless of the countries’ political regime. Three factors have the most significant influence on ensuring the independence of the central bank, namely “government efficiency,” “quality of regulation,” and “rule of law.”Item Trust in the financial sector: a bibliometric analysis (1967–2020)(Університет ім. Альфреда Нобеля, 2022) Litovtseva, V.Ye.; Васильєва, Тетяна Анатоліївна; Vasylieva, Tetiana Anatoliivna; Бричко, Марина Михайлівна; Brychko, Maryna Mykhailivna; Korneyev, М.V.The challenges faced by trust in the financial sector over the past thirty years remain unprecedented. Recent developments in financial technologies, blockchain, risk assessments have led to a renewed interest and rapid growth in the number of academic publications on trust in the financial domain. A number of literature reviews have been published focusing on specific aspects and trends of trust in the financial sector. However, far too little attention has been given to developing a global vision of academic knowledge about trust in the financial sector from a statistical perspective. This study was designed to provide insights and updates that have not yet been fully understood or described by other reviews in the domain of trust in the financial system by applying a thorough bibliometric (Scopus tools, Google Trends) and network (VOSviewer) analysis. In this study, the authors proposed a multi-level structured bibliometric analysis process that clearly defines the research stages, taking into account the selection of keywords for searching and the exclusion of irrelevant academic works. A total of 1,148 academic studies published between 1967 and 2020 were analyzed, covering 364 authors, 158 journals, and 101 countries. By applying rigorous bibliometric and network tools, established and emergent research clusters were identified based on key research topics and interrelations. With the help of built-in tools of the Scopus scientometric base, the main stages of scientific interest in the trust in the financial sector were determined. This research’s main findings showed that trust in the financial sector is one of the most multidisciplinary phenomena, and keywords such as human, economy, financial management, finance, organization and management, private sector, public sector are closely related. The research results perform a robust roadmap for further consideration in this area.Item A multi-layered DIKW framework in education quality assurance for ensuring economic sustainability(EDP Sciences, 2021) Артюхов, Артем Євгенович; Artiukhov, Artem Yevhenovych; Волк, Юрій Юрійович; Volk, Yurii Yuriiovych; Васильєва, Тетяна Анатоліївна; Vasylieva, Tetiana AnatoliivnaThe paper presents an improved DIKW+DM model which allows organizing not only the workflow of information processing and knowledge acquisition (with their subsequent application to determining the socio-economic impact of the education quality system), but also a decision-making algorithm in order to optimize the functioning of the education quality system. A detailed description of the DIKW+DM model sublayers is given with an algorithm for logical transition between sublayers in order to provide a rational solution based on the results of data collection, their systematization and analysis. On the basis of the model, recommendations are proposed for ensuring the effective functioning of education quality systems at various levels. In addition to internal assurance of the quality of education, attention is also paid to external control of the effectiveness of this system’s functioning. The sublayers of the DIKW+DM model are coupled with the criteria for educational programs quality assurance from the National Agency for Higher Education Quality Assurance of Ukraine.Item Determinants of labor productivity in the USA(LLC “Consulting Publishing Company “Business Perspectives”, 2023) Kuzior, A.; Койбічук, Віталія Василівна; Koibichuk, Vitaliia Vasylivna; Дрозд, Сергій Анатолійович; Drozd, Serhii Anatoliiovych; Grytsyshen, D.; Васильєва, Тетяна Анатоліївна; Vasylieva, Tetiana AnatoliivnaЦе дослідження має на меті перевірити, чи залежить продуктивність праці населення США безпосередньо від державного чи приватного страхування людей, рівня зайнятості, очікуваної тривалості життя, витрат на державну систему охорони здоров’я у відсотках від ВВП і витрат на державну систему охорони здоров’я в природні умови. Емпіричне тестування проводилось на статистичних даних США за 1987–2021 рр. з використанням регресійної моделі з підгонкою процедури зворотного покрокового відбору (у програмі Statgraphics) та багатовимірного сплайну адаптивної регресії MARS (з використанням програмного забезпечення Salford Predictive Modeler). Гіпотеза дослідження підтвердилася лише за двома показниками: очікуваною тривалістю життя та витратами на охорону здоров'я в натуральному вираженні. Їх вплив на продуктивність праці виявився прямо пропорційним. Як показник, витрати на державну систему охорони здоров'я мають більший вплив на зміну продуктивності (0,0058%), тоді як очікувана тривалість життя має менший вплив (0,0047%). Дослідження показало, що модель MARS забезпечує більш об’єктивні та точні результати порівняно з регресійною моделлю з процедурою підгонки – зворотним покроковим відбором. Цей висновок ґрунтується на порівнянні реальних даних, змодельованих обома методами. Дослідження довело, що продуктивність праці в США щорічно зростала з 1987 по 2021 рік (постійний член у рівнянні регресії моделі MARS становить +0,48428). Для розрахунку питомих значень продуктивності праці для кожного року розроблено модель залежно від оптимальних базових функцій (автоматично генерується моделлю MARS залежно від поточних значень очікуваної тривалості життя та витрат на охорону здоров’я в натуральному вираженні).Item Accounting support for sustainability reporting: theoretical foundations and bibliometric analysis(LLC “Consulting Publishing Company “Business Perspectives”, 2023) Філатова, Ганна Петрівна; Filatova, Hanna Petrivna; Васильєва, Тетяна Анатоліївна; Vasylieva, Tetiana Anatoliivna; Винниченко, Наталія Володимирівна; Vynnychenko, Nataliia Volodymyrivna; Ballova, M.; Gedeon, M.The purpose of this study is to substantiate the theoretical provisions on the accounting support for sustainability reporting and develop practical recommendations for improving the mechanisms for generating fragments of non-financial reporting based on accounting data. The study is conducted on the example of Ukraine. The paper provides a bibliometric analysis of scientific publications on the reporting in the field of sustainable development. Generalizing the results of the content-context block of the bibliometric analysis allowed identifying seven clusters. In the context of the study, the most relevant is the fourth cluster, which reflects the relationship between sustainability reporting and accounting. To create an effective mechanism for building sustainability reporting, a five-step sequence of actions based on accounting data was proposed, and tables were created to simplify the search for the necessary information to fill out fragments of a sustainability report and assess social and environmental security based on accounting data.Item Changes in the system of country’s population health care depending on the level of providing affordable housing(LLC “Consulting Publishing Company “Business Perspectives”, 2022) Kuzior, A.; Жученко, Світлана Василівна; Жученко, Светлана Васильевна; Zhuchenko, Svitlana Vasylivna; Самойлікова, Анастасiя Вiкторiвна; Самойликова, Анастасия Викторовна; Samoilikova, Anastasiia Viktorivna; Васильєва, Тетяна Анатоліївна; Васильева, Татьяна Анатольевна; Vasylieva, Tetiana Anatoliivna; Brożek, P.Ця стаття присвячена забезпеченню доступним житлом як важливому фактору управління охороною здоров’я, інклюзивного зростання та ЦСР. Мета – емпірично обґрунтувати зміни системи охорони здоров’я населення країни в залежності від рівня забезпеченості доступним житлом. Емпірична база включає часові ряди та панельні дані для 27 країн ЄС протягом 2011–2019 років. Завдяки кореляційному аналізу (тестування Шапіро-Вілка, кореляція Спірмена чи Пірсона, часові лаги), регресійному аналізу, побудові динамічної моделі оцінки панельних даних та за допомогою тестування Саргана в STATA дослідження емпірично підтвердило та формалізувало вплив фінансування доступного житла на зміни в системі охорони здоров'я населення країни. Зокрема, дослідження виявило залежність між рівнем перенаселеності та часткою власників житла з іпотекою (зменшення рівня перенаселеності в середньому на 0,61% з часовим лагом у 2 роки за рахунок зростання на 1%); частка орендарів на пільгових/безкоштовних умовах (0,41% з часовим лагом 3 роки); та частка державних витрат на розвиток ЖКГ (0,25% з часовим лагом 3 роки). Також виявлено прямий зв'язок між перенаселеністю та смертністю від небезпечних захворювань (туберкульоз, СНІД, вірусні гепатити, розлади психіки та поведінки, цукровий діабет, пневмонія). Найменш ефективними виявилися державні витрати на житло за програмами соціального захисту (субсидії тощо). Перевагу слід віддавати розвитку доступного іпотечного кредитування (швидше та з більшим ефектом). Загалом це впливає на державні управлінські рішення в системі охорони здоров'я, соціальній та житлово-комунальній сферах.Item Resilience of Smart Cities to the Consequences of the COVID-19 Pandemic in the Context of Sustainable Development(MDPI, 2022) Kuzior, A.; Krawczyk, D.; Brożek, P.; Пахненко, Олена Михайлівна; Пахненко, Елена Михайловна; Pakhnenko, Olena Mykhailivna; Васильєва, Тетяна Анатоліївна; Васильева, Татьяна Анатольевна; Vasylieva, Tetiana Anatoliivna; Лєонов, Сергій Вячеславович; Леонов, Сергей Вячеславович; Lieonov, Serhii ViacheslavovychThe development of digital technologies is one of the factors influencing the cities’ readiness for the COVID-19 breakout. The purpose of this article is to assess cities’ resilience to the COVID-19 pandemic depending on the “smart” level criteria. The article uses the following research methods: (1) bibliometric analysis to identify the main directions of scientific research regarding “COVID-19” and “smart city” in Scopus publications for 2019–2022; (2) k-means clustering method to identify common patterns among smart cities regarding their readiness and responsiveness to COVID-19; (3) correlation analysis to identify the relationships between smart city performance indicators and COVID-19 severity in these cities. The Smart City Index 2021 was a key criterion for classifying a city as smart for this study. The correlation analysis included two stages: (1) correlation analysis of the Smart City Rank and indicators of COVID-19 readiness and responsiveness; (2) correlation analysis of the Smart City Rank and its health care components and COVID-19 severity indicators. According to the study results, smart cities demonstrated higher COVID-19 readiness and lower COVID-19 fatality rates. However, they lag behind in terms of resilience and sustainability of their health care systems.Item Influence of monetary policy instruments and indicators on dynamics of financing innovation: empirical evidence(Limited Liability Company “FINTECHALLIANCE”, 2022) Belgibayeva, A.; Самойлікова, Анастасiя Вiкторiвна; Самойликова, Анастасия Викторовна; Samoilikova, Anastasiia Viktorivna; Васильєва, Тетяна Анатоліївна; Васильева, Татьяна Анатольевна; Vasylieva, Tetiana Anatoliivna; Лєонов, Сергій Вячеславович; Леонов, Сергей Вячеславович; Lieonov, Serhii ViacheslavovychToday innovations are drivers of countries’ economic growth, competitiveness, security, and sustainable development. Financial policy and its instruments play a significant role in innovation management, and monetary instruments are one of the most important components of financial policy. Therefore, the necessity of increasing the efficiency of financial support for innovation development actualizes the study of the impact of the monetary policy instruments and indicators on the level of financing innovation. The aim of the article is to improve the scientific basis for the study of the impact of monetary policy instruments and indicators on the dynamics of financing innovation based on empirical evidence. Information basis of the research was formed from the data for Ukraine and 12 post-soviet and other countries with similar starting economic conditions for 2010-2019, taking into account the availability of statistics from the International Monetary Fund, the World Bank, and the central banks for the whole investigated indicators at the time of the study. The software base included Excel and STATA. The methods of regression (linear regression model with panel-corrected standard errors) and correlation analysis (calculating Pearson and Spearman coefficients) were applied to identify a relationship between monetary instruments and indicators and indicator of financing innovation, confirm the hypothesis about the impact of the monetary instruments and indicators on the financing innovation and formalize this effect. To strengthen the country’s innovation development, it is proved the expediency of lowering the discount rate and real interest rate, increasing “broad money” on general reserves, and increasing liquid reserves on bank assets, as well as the transition to inflation targeting. According to the calculations, for all monetary instruments and indicators, except the discount rate, the directions of influence in Ukraine and the panel from 12 other countries were opposite. This one confirms that monetary instruments in Ukraine are not fully performing their regulatory function, in the context of stimulating innovation development.Item The influence of the financial inclusion of the population on the level of illegally income in countries with different levels of economic development(ТОВ "ФІНТЕХАЛЬЯНС", 2021) Діденко, Ірина Вікторівна; Диденко, Ирина Викторовна; Didenko, Iryna Viktorivna; Васильєва, Тетяна Анатоліївна; Васильева, Татьяна Анатольевна; Vasylieva, Tetiana Anatoliivna; Osadcha, O.; Shymanska, K.The importance of understanding why and how vital financial inclusion is, recognizing that finance or financial development plays an essential role in shaping economic stability. According to the current international assessment, finance has a positive impact on the economy. Essential functions perform information production; distribution of capital for production use; investment control and сorporate control; mobilization and consolidation of savings; trade facilitation, diversification, risk management; and facilitating the exchange of goods and services. Thus, we can determine that the country’s financial development depends on the implementation of the above functions. For regulators and the state as a whole, financial inclusion is a tool to reduce the level of the «shadow» economy, through which there is money laundering, tax evasion, and so on. It is important to note that low levels of financial inclusion are mainly a problem in the economies of developing countries, although developed countries also face such challenges. Thе article sets and substantiates the impact of financial inclusion of the population on the level of illegally obtained income of countries with different levels of economic development. The study is conducted in several stages: the formation of an array of indicators that characterize the financial inclusion of the population and the level of illicit income for 91 countries with different levels of economic development, determination of the integrated index of financial inclusion based on factor analysis, correlation and regression аnalysis of the Financial Inclusion Index and its components and the Basel Laundering Index. In general, it was found that the level of financial involvement of the population has a positive effect on the fight against money laundering in all countries studied. The construction of multiple regression with the inclusion as independent variable components of the financial inclusion index (activation of consumers in the financial services market, which is manifested through more active use of banking services and Internet resources to buy and pay for necessary goods or services, allows money laundering) confirm the result.Item Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture(Vilnius Gedminas Technical University, 2022) Bilan, S.; Suler, P.; Скринник, Олена Вікторівна; Скрынник, Елена Викторовна; Skrynnyk, Olena Viktorivna; Krajnakova, E.; Васильєва, Тетяна Анатоліївна; Васильева, Татьяна Анатольевна; Vasylieva, Tetiana AnatoliivnaEven now, in the times of advanced digitization, the planning and implementation of many organizational meas-ures remain human-driven. Corresponding to a global trend of application of artificial intelligence in all areas of life, it has received more attention in the last few years and garnered emerging clusters of research in usage of this technology for organizational issues. Some companies already offer tools that support different management tasks in the area of organiza-tional development, but they are not holistic. According to the Google trend analysis of the search for artificial intelligence, the inquiry to this topic continues increasing. The purpose of the described investigation was to identify the academic trends in research interaction between such sci-entific fields, as Artificial Intelligence, Organizational Management, Organizational Development, Organizational Change, and Organizational Culture using bibliometric and network publication analysis. In order to achieve this purpose, we sys-tematically analysed 191 publications between 1983 and 2020 as well as cited and citing publications. The findings of this study provide important conclusions of the current research state. The insightful results are presented in the form of critical review and frame the body of knowledge.