Journal of Security and Sustainability Issues

The multidimensional comparative analyzes of transportation of people by rail were used in the article. The time series was analyzed and evaluated in order to detect the following phenomena: trend, seasonality and random factor. The initial time series was divided into parts in order to remove data that, due to the impact of a random phenomenon such as the COVID-19 pandemic, lost trends visible in the past (from January 2012 to December 2019). The Winters’ exponential smoothing method was used for the forecasting. The obtained forecast for 2024 is 390 380 000 passengers transported by rail in Poland. The mean absolute forecast error is 2,18.

The research includes a multidimensional comparative analysis of electricity prices in 28 European countries for non-household consumers. The highest energy prices in the first half of 2022 were also ranked in the respective analyzed countries. Increases in electricity prices for non-household consumers were examined in terms of percentage and value from the second half of 2019 to the first half of 2022 and the increases were ranked. Their leader in terms of percentage and value was Greece with the result of 353,50% which constitutes EUR 0,288 of the price increase per 1 KWh in the considered time period. A multiple regression model was also built and showed that the time series of natural gas price quotations had an impact on the increase in electricity prices for non-household consumers.

The study includes an analysis of the functioning of micro, small and medium-sized enterprises during the COVID-19 pandemic from the perspective of financial security management of these entities. The article covers the identification of threats in the area of finances of the discussed enterprises that arose during the pandemic, as well as the assessment and approach to financial risk management in these entities. As a result, the key categories of threats to the financial security of enterprises, arising during the COVID-19 pandemic, were presented, as well as the assessment of the effectiveness of state services responsible for ensuring financial security. The study focuses on multidimensional data analysis in terms of their grouping and unraveling in terms of comparing the considered variables in terms of dynamics. Initial studies were performed by comparing several variables, and the data were analyzed not only during the COVID-19 pandemic, but also in the pre-pandemic period in terms of observing their fluctuations in dynamic terms, and the relationships between them were also examined.

The article presents a multidimensional comparative analysis of the exchange rates of five currencies: dollar, euro, franc, pound and ruble in zlotys and crude oil in dollars per barrel from 2005 to 2022. The research was conducted in terms of the identification of contemporary challenges for the economic security of enterprises in Poland. Grouping was used as part of multidimensional comparative analyzes. In the categorized line charts, in order to observe the trends in dynamic terms as a decrease and an increase in the rates of the analyzed data, a separate Y-axis scale was assigned to each of the analyzed dependent variables.

The article presents a multidimensional comparative analysis of the drops in the number of passengers transported by rail in 28 European countries on a quarterly basis in 2012-2020 in terms of the impact of the COVID-19 pandemic and economic security. Data collected from Eurostat on the number of passengers transported by rail in 28 European countries were aggregated and further analyzed in order to emphasize the regularities governing them. The research has observed a growing trend on an annual and quarterly basis in the total number of passengers transported by rail in 28 European countries in 2012-2019. Additionally, in the unnamed (quarterly) data, a quarterly seasonality was detected. Since 2020, there have been declines in the number of passengers transported by rail in all of the 28 European countries considered. The declines were subjected to a comparative analysis, adopting various criteria, in order to assess which countries were most affected by the COVID-19 pandemic in terms of rail passenger transport.