002. Факультет економічних наук

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The 4th Industrial Revolution and Innovative Labor: Trends, Challenges, Forecasts
(2017) Chala, Nina; Poplavska, Oksana
The society is driven by the cyclical effect of the technological progress, which transforms the economy and changes the demand and supply notions within the labor market. However, today's changes, namely the 4th Industrial Revolution, have a number of features, among which the most significant is transforming the role and place of people in the production, economy, and life. This notion has both positive and negative trends. On the one hand, the potential of some economies will grow, thereby bringing high profits; however, on the other hand, many people will be unemployed, which once again requires much effort from the state and business to equalize the imbalance between supply and demand on labor sources. The authors of the article attempted to reveal the basic trends of the 4th Industrial Revolution in Ukraine, to predict some possible risks and changes, and to justify the strategic directions of the country's development in face of the new environment.
5 инструментов для развития вашей бизнес-модели
(2011) Мертенс, О.
Цей посібник підготовлено в рамках проекту Міжнародної фінансової корпорації (IFC) з подолання наслідків кризи в корпоративному секторі.В межах проекту в різних частинах України було проведено декілька десятків семінарів з управління бізнесом в посткризових умовах. В посібнику запропоновано 5 завдань до обговорення менеджерами компаній для пошуку нових ідей та рішень для вдосконалення бізнес-моделі.
A review of approaches to understanding corporate crisis
(2014) Lytvyn, Anton
У статті розглянуто основні академічні підходи до визначення організаційних криз. Разом із оглядом визначень поняття «криза» дослідниками сфери антикризового управління, наведено міркування щодо суті криз, їхнього впливу на підприємства та настанов управління ними. Зроблено висновки щодо розвитку подальших досліджень у сфері криз на підприємствах.
Active Ageing in Ukraine: in the View of Statistical Evaluation and Comparison Analysis
(2017) Kurylo, Iryna; Krimer, Borys
Material of the IV International Scientific Conference "Statistics of the XXI century: new challenges, new opportunities", 2017.
Actual problems of system analysis and modelling of management processes : monograph
(2023) Ponomarenko, Volodymyr; Guryanova, Lidiya; Peliova, Jana; Nezinsky, Eduard
The monograph deals with instrumental means of system analysis, modeling, forecasting for solving complex problems in the management socio-economic systems, financial systems, risk management in conditions of increasing global instability, the appearance of additional threats, significant transformations, market turbulence. Special attention is paid to the assessment of the impact of "shocks" on various classes of investment assets, the study of the stock market volatility, the tools of the post-war recovery of the Ukrainian economy, the possibilities of enhancing the efficiency of management of various activities based on the application of Artificial Intelligence, Machine Learning, Data Science.
Adaptation of business and consumers to modern challenges in Ukraine
(2023) Bila, Iryna; Zakrevska, Liudmyla; Kovalchuk, Inna; Tkachenko, Olga; Shevchenko, Olena
To study the process of adaptation and identify factors influencing the adaptability of business and consumers. To develop recommendations for increasing the level of adaptation of business and consumers and for ensuring the appropriate level of consumption by individuals. To develop a mathematical model of the current assessment of the level of adaptation.
Administration of Telecommunication Company Staff Potential in Ukraine
(2020) Kovshova, Iryna; Dubovyk, Nataliia; Zubko, Tatyana
The goal of the article is to develop theoretical and methodological guideline and practical recommendations for administration of staff potential by telecommunication companies based on marketing management in the modern conditions. The methodological basis of the research are fundamentals of the modern socio-economic theory, management and marketing grounded on the system-synergistic approach to staff potential administration in domestic telecommunication companies and international corporations in Ukraine. Within the framework of this approach, general scientific and specific methods of cognition have been used, in particular: analysis and synthesis, scientific abstraction, deduction and induction, dialectical analysis, statistical analysis, economic and mathematical modeling. The scientific novelty of the research lies in the development of system-synergetic paradigm of marketing management in telecommunication companies, which provides optimal harmonization of goals of companies with various benefits of interested parties to create a social effect. Conclusions. Implementation of marketing management by domestic telecommunication companies and international corporations in Ukraine is favourable for creating reputation of a reliable supplier of products and services to consumers, popularization of an employer brand, maximum satisfaction of consumer requirements, formation of balanced management system with coordination of actions according to different dynamic cycles for simultaneous achievement of economic and organizational effectiveness and a social effect.
Advance Financing Innovations and the Radical Change Economic Development
(2024) Bazhal, Iurii
The methodological searching the approaches to overcoming the current crisis phenomena is constricted by inability the mainstream economic theory to explain fundamental economic nature these processes. But the consequences from phenomena of radical change that causes current crises and economic measures to replying are like the causes of crises that are explained by theory of economic development of Josef Schumpeter. This article is aimed to reveal practical meanings of some apply findings of Schumpeter to improve the actual economic policy. The article presents analysis that demonstrate importance to recognize "Schumpeter’s innovations" as a special factor for economic growth that generates the increasing the aggregated added value of a country separately from the processes related to productivity growth of the existing traditional resources. It allows to clarify the reasons current economic and financial crises with the Schumpeter’s theory of "advances-economics", where there is explanation the nature of financial resources for innovation development which acquire has got a shape of the artificial credit expansion. This extension of money supply is not the problem of economic growth but its mandatory factor. The article demonstrates the volume of production of innovative enterprises in Europe is in principle comparably with the value of GDP. The advance monetary resources could be presented by comparing the monetary aggregates M1, M2, M3 that allows to calculate the available monetary potential for advance financing for innovations. The given analysis confirms practical meanings of the proposed macro monetary analysis financial resources innovation development.
An algorithm of selecting the pricing model for a construction contract
(2019) Bugrov, Oleksandr; Bugrova, Olena
An algorithm has been developed for selecting a price model for a construction contract. This is important because price is one of the key parameters of a contract. It is this parameter that determines how much of the value created in the framework of the contract in a monetary form goes to the contractor and what remains to the client. The study has found that the contract drivers of pricing are the initial price, control, incentives (moral hazard), and the final price. This interpretation coincides with the fundamentals of contract theory and is a prerequisite for the fundamental credibility of the developed system. The basic input components of the decision-making algorithm on the most appropriate pricing strategy are the matrix of properties of contract price models and a metric of questions for evaluating the client’s respective priorities for the project. The system helps choose one of five key pricing strategies: CRC, MC, TC, LS or GMP, which are used in international practice. Applying the system of choosing the pricing model of a contract in conjunction with the system of selecting the organizational profile of the project provides an opportunity to choose the most appropriate strategy from 130 paired alternatives. The proposed approach in a cumulative way contributes to the success of construction projects and has a unified character. The formalized toolkit for benchmarking alternatives is the digital content of the strategic COMP – Contract Organizational Mechanisms: Pricing. The algorithm is built on estimating the priority vectors of pricing factors for a project (based on certain sets of ranks and ratings) with a further grading of the feasibility of using each of the alternative price models in the project. Approbation of the COMP system in the construction project of the Ice Arena in Kyiv has shown that the created conceptual model (the proposed algorithm) makes it possible to take an expedient decision on the pricing strategy for a contract with mathematical, high theoretical and practical argumentation.
Analysing students' mobility at higher education institutions: case of Ukrainian university during the war
(2024) Chala, Nina; Pichyk, Kateryna; Poddenezhnyi, Oleksandr; Voropai, Olga
Higher Education Institutions (HEIs) often overlook the importance of systematic data collection and analysis. This oversight can obscure critical trends and decision-making insights, particularly student mobility. HEIs management may not detect the outflow of students related to academic mobility and therefore will not make timely managerial decisions. This article aims to provide guidance to university management on how data collection and analysis can improve informed decision-making, focusing on student mobility, especially in times of severe disruptions, like military conflicts. To reach this goal, desk research of previous literature was conducted to identify risks and challenges related to students’ mobility and the previous experience to address them. Secondary data analysis of student outflow at the Faculty of Economics of the National University "Kyiv-Mohyla Academy" (NaUKMA) from 2015–2022, alongside a student survey provided insights into the students’ academic mobility process dynamics. The findings demonstrate a significant outflow of students from educational programs, highlighting the opportunities and risks associated with academic mobility. Analysis of this data reveals critical insights into student motivation, which can significantly influence their decisions and behavior. Students’ mobility data analysis will instantly point out the problem to HEI management, making it possible to prevent the consequences.
Analysis of Advertisement Financial Efficiency in Pharmaceutical Sphere
(2017) Dadashova, Pervin; Khobta, V.
This paper defines the main trends of pharmaceutical market development in Ukraine and presents the most common measures of the demand stimulation for pharmaceutical products, primarily advertisement. The scope of the investigation included the analysis of the impact of these measures on the companies’ revenue from sales, with the use of the panel data model, and the group of products with the low income level without advertisement was defined. The respective group was additionally analyzed with the use of cluster analysis that allowed for conclusion on the most efficient demand stimulation instruments. The obtained results show that in order to perform an efficient advertisement campaign, it is necessary to analyze statistical data regarding separate products sales with the application of the methods presented in the paper.
Analysis of the expenditures of the state budget of Ukraine
(Kyiv-Mohyla Academy Publishing House, 2023) Lukianenko, Iryna
For many years, the budget system of Ukraine has been characterized by instability and constant reforms, budget deficits, a significant amount of national debt, and imperfections in intergovernmental relations (Figure 5.1). In 2014-2015, after a major budget crisis triggered by military actions in the east, reforms in the budgetary system and relations began.
The art of Uniting Business and Science in Marketing
(2010) Pan, Liliya; Derevianko, L.
Artificial intelligence application in auditing
(2023) Ivakhnenkov, Serhii
Artificial intelligence (AI) is a rapidly evolving technology that has gained prominence in various industries, including auditing. AI enhances the effectiveness of auditors by automating routine tasks and improving data analysis. Major audit companies, such as EY and PwC, have integrated AI into their practices to save time, increase accuracy, and provide better services to clients. AI applications in auditing include anomaly detection, fraud prevention, revenue analysis, risk assessment, and financial data analysis. Machine learning algorithms, a subset of AI, play a crucial role in analyzing large volumes of financial data, identifying patterns, and making predictions. AI implementation in auditing involves different stages, including pre-planning, planning, contracting, control risk assessment, and substantive tests. The benefits of AI for auditors and clients include improved data analysis, reduced human error, increased efficiency, and enhanced audit quality. However, the successful implementation of AI in auditing requires a clear understanding of its strengths, limitations, and challenges, as well as interdisciplinary collaboration and the development of specialized frameworks. AI has the potential to transform audit procedures, but human expertise and understanding are still essential for its proper use. It is important to recognize that while AI can automate certain tasks, it cannot replace auditors’ judgment and critical thinking skills. There are also challenges associated with AI implementation in auditing. These include the need for extensive data preparation, ensuring data quality and integrity, managing complex algorithms, and addressing regulatory and compliance issues. Furthermore, auditors must stay updated with the latest advancements in AI and continuously adapt their skills to leverage the technology effectively.
Artificial intelligence for marketing product strategy in the online education market
(2024) Bilovodska, Olena; Kravchuk, Tetiana; Ponomarenko, Ihor; Bliumska-Danko, Kseniia; Kononenko, Anna
The online education market has experienced tremendous growth, creating a competitive landscape where effective marketing solutions are crucial for success. Artificial intelligence (AI) has emerged as a powerful tool, offering innovative ways to enhance product marketing strategy. The purpose of the article was to highlight the integration of artificial intelligence into marketing product strategies in the online education market and to evaluate the chances of success for launching a new training course implemented through AI algorithms. A systematic review of advanced technologies and products in the AI market was carried out, along with a comparative analysis based on data from various authors and reports from organisations, considering the aspects of interpreting qualitative and quantitative market characteristics. Leaders in the global and Ukrainian online education market were analysed, and research was conducted on the marketing product strategy measures of successful players, indicating qualitative and quantitative data using SimilarWeb and Semrush online services. These results allowed for an analysis of the connection between the identified market segments and influencing factors to make practical recommendations for improving elements of marketing based on the identified issues of products and the online education market. To demonstrate the relevance and effectiveness of the proposals, an approach was applied to test if a product with enhanced AI marketing would fit into the market using the example of the Projector Institute company. The assessment obtained from the calculations showed that AI can strengthen the marketing of online education products, as they will fully meet the interests of interested economic counterparts. The results of the study could be used by marketing, AI experts, product experts, business owners in marketing, etc. to enhance marketing solutions
Artificial intelligence – challenges for the future
(Національний університет "Києво-Могилянська академія", 2024) Hryhoriev, Hennadii
Матеріали науково-практичної конференції "Інноваційні ідеї в економічній науці: пошуки вирішення сучасних проблем" (2024)
Assessing how large is the market for prostitution in the European Union
(2017) Adair, Philippe; Nezhyvenko, Oksana
Prostitution regimes in the EU-28 include prohibition, regulation and abolition; we tackle this typology from the perspective of both free sex work and forced labour, in order to gauge the magnitude of the European sex market as of 2010. We document the behaviour of customers on the demand-side for prostitution. Next, we address the supply-side, using HIV prevalence among sex workers to achieve a first series of two estimates. We design a second series of two estimates from miscellaneous sources (NGOS and the police). We investigate forced sexual labour trafficking, providing an additional series of estimates from the ILO and from Eurostat and UNODC. We check the magnitude of prostitution as regards employment figures and ranking with respect to the distribution of population in the EU countries. Thanks to an ordered probit, we test all five estimates; eventually, we come up with one best estimate (from HIV prevalence) that is also the lowest one.
Assessing the impact of monetary instrument on Ukraine's labor market during increased risks
(2024) Nasachenko, Mariia; Donkohlova, Tetiana
This comprehensive study investigates the complex relationship between monetary instruments and Ukraine's labor market against the backdrop of heightened risks. In the light of the ongoing Russo-Ukrainian war, economic instability, and significant migration dynamics, understanding the role of monetary policies in shaping labor market dynamics is crucial. Employing a robust empirical approach, the research aims to analyze the impact of monetary instruments on key labor market indicators, including employment levels, unemployment rates, and wage dynamics. By utilizing econometric and mathematical methodologies (system of simultaneous equations), the study seeks to provide nuanced insights into the effectiveness of monetary policies in addressing labor market challenges amidst heightened risks. Furthermore, the research tries to identify potential strategies and policy interventions to mitigate adverse effects on the labor market and foster resilience in the face of uncertainty. The findings of this study are anticipated to contribute to a deeper understanding of the complex interplay between monetary policy measures and labor market outcomes in Ukraine. Additionally, the insights derived from this research are expected to inform policymakers, economists, and stakeholders in designing more targeted and effective policy responses to address labor market challenges and promote sustainable economic development. Overall, this study aims to provide valuable insights into the role of monetary instruments in navigating Ukraine’s labor market through turbulent times and fostering resilience in the face of heightened risks.
Assessment of the sources and magnitude of income in Ukraine's state budget
(Kyiv-Mohyla Academy Publishing House, 2023) Lukianenko, Iryna
It is important to pay attention, that in 2022 the income of the state budget amounted to 115,1 % of the approved by the Parliament in the beginning of the year, the excess amounted to 234 billion UAH [12]. In the conditions of war government was searching for new income. At the same time, the amount of the biggest article of income- tax income in comparison to 2021 decreased for 14,21%. If the part of tax income in the general structure of the budget amounted to 85% in 2021, so in 2022 it accounted only 53%.
Balanced system of indicators as a tool of the formation of the creative potential of companies
(2021) Ivanova, Nataliia; Klymenko, A.; Kucherenko, D.; Kuznetsova, Tetyana; Salimon, O.
The modern driver of the country’s economic development is the creative economy, which is considered by many scientists as a new model of the growth. Ukraine has not stayed away from the process of forming a creative economy. According to the rating of the Global Creativity of the Martin Prosperity Institute, Ukraine ranked 45th among 139 countries. Analysis of the content of the Global Index suggests that it is the high rating of the Talent Index (24 positions) that caused a fairly high Global Index. The reinforcing components of the High Talent Index are the number of the highly educated people and the share of creative workers. The Technology Index is quite high (43 positions). As for the Tolerance Index, Ukraine ranked 105th. The considered components of the indices allowed us to draw a conclusion about the existing unrealized and powerful reserves of Ukraine’s creativity. An important component of the formation of the creative economy of Ukraine is the creative industries. However, research has shown that the sources of creative potential are in non-creative industries. The basis of such sources is a human capital. It is important to find tools that will increase the creative potential of any business structure, regardless of its industry affiliation. However, research has shown that this problem has gone unnoticed by scientists. The article proves that such a tool is a balanced scorecard. The aim of the article is to analyze a balanced system of indicators in terms of their compliance with the requirements of the creative economy and to find sources for adapting this system to new requirements. The system is not only evaluative, but also serves as a means of the strategic management, as it allows you to direct the development strategy of the organization in the plane of specific strategic objectives and indicators. The advantages of the system are the ability to identify performance indicators to determine the main direction of the organization, and for individual units; use of feedback; bringing specific goals to each specific performer; motivation of employees of the enterprise depending on the results of the task; universality of application of the system. Analysis of the essence of a balanced scorecard allowed to identify sources of creativity for each of the four components of the system (financial, customer evaluation, business process efficiency, staff). The search for sources of system adaptation was carried out for BAKER TILLY Ukraine LLC. The company uses a balanced scorecard, which has its four main components and does not belong to the creative industries. As a result of the analysis of the company’s activity, the sources of increasing the creative potential were identified and the methods of their implementation were proposed.

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