https://etalpykla.vilniustech.lt/handle/123456789/155627 2026-04-04T17:53:36Z 2026-04-04T17:53:36Z Zherlitsyn, Dmytro Galaieva, Liudmyla Mandra, Volodymyr https://etalpykla.vilniustech.lt/handle/123456789/155887 2024-11-26T14:01:49Z 2021-01-01T00:00:00Z

Company financial flow modelling by system dynamics methodology Zherlitsyn, Dmytro; Galaieva, Liudmyla; Mandra, Volodymyr Purpose – the purpose of the article is to develop a conceptual model of the company’s financial logistics based on the system dynamics principles. Research methodology – the article is based on the system analysis and system dynamics methods to define, classify and simulate a company financial flow. Findings – the definition of financial logistics for a business system has been defined. The authors make a classification of the company’s financial flow by the main economic activities and time series factors. Research limitations – commercial data, used for the practical implementation of the model, are confidential and cannot be disclosed. Practical implications – the model is implemented by transformation of a system dynamic flow graph into VENSIM programs. It may estimate the stationary trajectory financial flow and short-term and long-term gaps. Originality/Value – the conceptual model of the company’s financial logistics is determined based on the system dynamics principles. The model includes the advantages of the financial management methods and contemporary econometric analysis instruments based on a system dynamics.

2021-01-01T00:00:00Z Versal, Nataliia Erastov, Vasyl Balytska, Mariia https://etalpykla.vilniustech.lt/handle/123456789/155886 2024-11-26T13:51:18Z 2021-01-01T00:00:00Z

Is digital 'New normal' or 'Challenge' for banks under COVID-19? Versal, Nataliia; Erastov, Vasyl; Balytska, Mariia Purpose – to reveal prerequisites of technology-enabled banking development in Lithuania, Poland, and Ukraine; to identify if digitalization was a beneficial factor in households deposits-raising during the COVID-19. Research methodology is twofold: analysis of digitalization index based on World Bank data as a premise of technology-enabled banks development; beta-coefficient analysis and descriptive statistics – for digitalization influence assessment. Findings – digitalization index analysis showed that Lithuania has a more generous benefit in terms of digitalization. Poland and Ukraine follow with a slight gap. Traditional banks of analyzed countries are acting towards digitalization but at different paces. There are both digital and neobanks in Lithuania and Poland, while in Ukraine only digital banks. Analysis of Ukrainian banks deposits highlighted the fact that digital banks were in some cases more preferable for households, especially during a pandemic. Research limitations – lack of data: common digitalization indexes could not be calculated for Ukraine; differences in countries’ banking data: content and structuring criteria. Practical implications – the results could be important for policy recommendations to tackle the blind spots of banking digitalization. Originality/Value – suggested digitalization index could be utilized as a universal. Due to DESI limitations, common for EU countries, we were to create our own index and compare results with calculated by European Commission DESI values. While DESI is calculated using some specific survey data, the proposed index is using standardized data of World Bank; the results of digital and traditional banks deposits comparison could be useful for further study.

2021-01-01T00:00:00Z Venslavienė, Santautė Stankevičienė, Jelena https://etalpykla.vilniustech.lt/handle/123456789/155885 2024-11-26T13:05:58Z 2021-01-01T00:00:00Z

Forecasting crowdfunding platform revenues using ARIMA model Venslavienė, Santautė; Stankevičienė, Jelena Purpose – In recent years, crowdfunding platforms have become very popular as intermediaries between fundraisers and funders. However, various campaigns published on the platform might be of bad quality or fraudulent, so the crowdfunding platform must be very careful when choosing the right ones. Also, the proper selection depends on the profits of a crowdfunding platform. In most cases, crowdfunding platforms mainly earn money from transaction and administration fees from successful campaigns on their platforms. While it is very hard to select successful campaigns, it is possible to analyse already published campaigns and forecast future revenues of crowdfunding platforms. And based on this, to select new projects which might be successful too. The aim of this work is to develop a model to forecast the revenues of crowdfunding platforms. Research methodology – In this research, comparative and statistical analysis will be used, data structuring, modelling and forecasting, performed with the ARIMA model. Findings – Main findings of this research present the three most successful campaign categories from the Kickstarter platform that receives the highest funding. Fees were calculated from those three campaign categories, and revenues for the platform were forecasted using the ARIMA model. Research limitations – Main limitations are that there were used data from a very short period of time. For better results accuracy, a longer period is needed. Practical implications – this research might be of practical use since the forecasts show that the revenues will continue to grow from the successful campaign categories. Consequently, investors should continue to support technology, games and design categories the most. At the same time, crowdfunding platforms should give more attention to these categories when choosing new projects to launch on the platform.

2021-01-01T00:00:00Z Tretiak, Diana Miedviedkova, Nataliia https://etalpykla.vilniustech.lt/handle/123456789/155884 2024-11-26T12:34:08Z 2021-01-01T00:00:00Z

Risk management in Public Finance System of Ukraine under global challenges Tretiak, Diana; Miedviedkova, Nataliia Purpose – to analyze the current state of risk management in Public Finance System of Ukraine and prefer recommendations for its improvement. Research methodology – the structural-functional method (for revealing the influence mechanism of public finance risks on main indicators of Public Finance System), the comparison method (for comparing the main indicators of Public Finance System between Ukraine and other countries). Findings – recommendations for reducing of public finance risks will provide the budget with reliable sources of incomes, optimize the structure of government spending, and improve the budget process in order to create conditions for enhancing the quality and efficiency of budget decisions. Research limitations – some risks are only of a qualitative nature and cannot be measured to analyze the impact of risks on the main indicators of Public Finance System. Practical implications – improvement of a risk-oriented method in Public Finance System under global challenges is an effective method of developing the existing Public Finance Management in Ukraine. Originality/Value – risk management in Public Finance system under global challenges is a new stage of comprehensive relations which opens the way for further progressive reforms. A great importance is to use the experience of risk management measures gained by EU states, but also taking into account the peculiarities of socio-economic situation in Ukraine.

2021-01-01T00:00:00Z