This article deals with interaction between business innovations and brand value. Innovation and brand equity are two important dimensions that drive businesses today; innovation in particular is a primary determinant of brand equity. Innovations and brand value are two key strategic assets that play important role in company growth and success. The aim of the research is demonstrating a statistically siginificant dependence between the brand value and innovations, which in our research are represented by R&D expenditures. Expenditure on research and development is taken in absolute terms, but also in relative terms as a percentage of revenue. Article contains basic theoretical background of this topic and results of research focused on confirming the dependence between these two parameters. The research is carried out on a sample of fourteen global brands (Google, Apple,
The issue of company financial distress and the early prediction of potential bankruptcy is one of the most discussed issues of economists around the world in recent decades. The most widely used method to create these models is Multidimensional Discrimination Analysis from the first attempts in the 1960s to the present. In the paper we present prediction model for some emerging market countries in Balkan region created using a Multidimensional Discriminant Analysis method based on real data from the financial statements obtained from Amadeus - A database of comparable financial information for public and private companies across Europe. Our database contains data more than 200 000 companies and about 25 predictors. Using this model, it is possible to predict the financial difficulties of companies one year in advance.
Bankruptcy prediction models are often an applied tool for detecting unfavourable development of the financial situation of the company. The prediction of financial health of business entities is the most important information because of dynamic development of the business environment. Many prediction models are known nowadays. They are different by their reliability (predictive ability), the composition of used variables, trade union orientation, the degree of consideration of domestic market conditions etc. It is clear from this that it is not possible to create a universal, unified prediction model that would be able reliably and with sufficient time to indicate unfavourable company financial development leading to bankruptcy applied in all sectors or regions. Introductory part of contribution is devoted to the literature review of issues and the definitions of the concept of bankruptcy based on the so-called non-prosperity indicators (profit, total liquidity and equity/liabilities ratio), that take into account the current legislation of this issue in the Slovak republic. Then the contribution discusses the role and significance of prediction models in corporate practice, compares the advantages and disadvantages of models containing accounting and market indicators. The authors also devoted the space to identifying restrictions on the usability of known foreign bankruptcy models in economic conditions of V4 countries and to define a set of the most frequently applied models taking into account specific economics conditions in these countries.
The financial literacy belongs to the key competencies of the modern society members and its importance growths every day. This paper presents results of the financial literacy research among the university students of the different fields of study. The survey covers both forms of study, means the full-time study and as well the part-time study. We obtained the data through a questionnaire survey conducted simultaneously at five universities in Czech Republic and Slovakia. In this survey, we have found out some of the personality characteristics of the participants, and further, they solved common problems in the area of the financial decision making. The aim of the research was to verify whether the everyday practical experience of part-time students has a positive impact on their financial literacy when compared with the full-time students. In this context, we have also distinguished between economic and technical studies. Applying the statistical analysis methods, we have not only confirmed our expectations, but this analysis also revealed several remarkable findings.
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