Research background: The paper outlines selected problem areas of the legislative - legal environment and administrative burdens for SMEs. Data for this paper were obtained within the scientific activities at the University of Technology and Business in Ceske Budejovice Project TL01000349 Stabilization and development of SMEs in rural areas. The primary objective of the paper is to demonstrate that small and medium-sized enterprises are overburdened both from an administrative point of view. The theoretical part of the paper is devoted to the presentation of experts on a given topic and from these views the logical conclusion and recommendations for the methodological part of the paper are based. The following, practical part, explains each hypothesis and outlines the whole course of calculation. Each hypothesis is then rejected or confirmed. All findings are verbally analysed in the discussion of the results. Purpose of the article: The main purpose of the research is to prove that small and medium-sized enterprises are overburdened with administrative burdens and taxes. Methods: Primary data for the area of legislative-legal and administrative burden were obtained through a questionnaire survey in SMEs. The data will be evaluated using a statistical method comparing the mean value, specifically using a one-sample t-test. Findings & Value added: The results of the paper will confirm or reject the predetermined hypotheses that apply to small and medium-sized enterprises. This knowledge will be important for further analysis and will outline the administrative complexity of the business of these companies.

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Research background: The paper points out the differences in the motivation of employees in SMEs in terms of corporate culture as a motivational tool. The primary goal of the paper is to draw conclusions from hypotheses that analyse corporate culture as a motivational tool. Literary research outlines the issue of personnel activities focusing on the corporate culture as a motivational tool for SMEs in the Czech Republic. The practical part of the paper shows the whole course of specific calculations and evaluation of established hypotheses. At the end of the solution of each hypothesis, its rejection or confirmation is displayed, and this is justified by other methods that confirm this decision. Purpose of the article: The main purpose of the article is to confirm or reject predetermined hypotheses concerning small and medium-sized enterprises. A specific evaluation of the hypotheses will help to raise the profile of possible problems of small and medium-sized enterprises in the areas of employee motivation. Methods: Primary data for this article were obtained using an online questionnaire. The data are evaluated using a statistical method comparing the mean values of the samples, specifically using a statistical one-sample test. The research sample consisted of a total of 220 small and medium-sized enterprises (SMEs) in the Czech Republic. Findings & Value added: The results of the research will confirm or not confirm whether corporate culture is an important motivating tool for small and medium-sized enterprises and whether or not it differs depending on the division of enterprises according to different scales.

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The paper deals with the topic of stock time series and their forecasts. The aim of the paper is to provide a detailed analysis of the time series of PepsiCo, Inc. (PEP) shares and subsequently, to use machine tools to predict its further development. The results of the paper in their first part identify the boundaries of RSI indicators for the oversold or overbought market and moreover, with the help of these indicators, predict further possible development of the time series. Daily share price data from PepsiCo, Inc. from the end of April 2019 to the end of April 2020 are used. Two indicators have been recorded since the beginning of 2020. The first one, recorded at the end of January, recommended the trader to sell the position, and further developments suggest that this step would be correct, as stock values then began to fall sharply. The second indicator was identified at the beginning of March, when the world was shaken by the coronavirus crisis, and this indicator recommended the trader to buy a position. Further developments indicated that this would be the right move, as stock values rose in the following period. Moreover, the moving average method is employed as well. Values are calculated for 50, 100 and 200 days. With this tool, only one recommendation is identified, in March 2020, when the fast moving average intersected both slower moving averages, and the ideal solution was to sell the position, which could be described as the right step with the further development of the time series, because stock values began to fall again after this period.