The multidimensional comparative analysis and the forecasting of minimum salaries in 21 European countries were conducted in the study. The research began with the ranking of the data, the amount of salary rates taken as a basis, the rise expressed in euro and the values of dynamics indices on a constant base. Then the data was aggregated. The time series of the lowest salaries in 21 European countries was analyzed and evaluated. Thus, regularities were observed that were used to select the Holt-Winters’ exponential smoothing method for the forecasting of these salaries. The obtained forecasts were analyzed and evaluated with the use of indices, such as forecasting errors.
The concept and the need of organizational changes in the corporate environment in order to ensure a lasting effect of economic and strategic security were determined. The methodology for conducting organizational changes based on the use of optimal operational integration, which forms a decomposition of the company’s development goals and forms the field of economic security was proposed. The model analysis of ensuring effective organizational security and operational integration of the functional units of the company was carried out.
For establishing the best monetary policy it is essential to know if in practice monetary variables determine gross domestic product (GDP) in constant prices. Price stability contributes to the formation of stable environment for the development of commercially sustainable activities and expresses the responsibility of central banks for sustainable industrial development. It contributes to maximizing the GDP, employment, stable interest rates and sustainable economic development which have consequences for households’ welfare as well as enterprises’ value maximization. For a set of more monetary variables, we identified that in Romania money aggregates M2 and M3 as well as internal credit were strongly correlated with GDP over the time period 1995:Q1-2015:Q4, while in Slovakia only M2 and M3 were strongly correlated with GDP in the same time period. Contrary to expectations, according to a Bayesian linear regression, the internal credit changes had a negative impact on economic growth on the overall period. This conclusion is consistent with other empirical studies. This paper’s analysis discovered that the aforementioned negative correlation is due to the crisis period, because the regime-switching Bayesian model indicated that only in times of economic contraction changes in internal credit negatively affected economic growth.