Strategies for sustainable socio-economic development and mechanisms their implementation in the global dimension

The authors of the book have come to the conclusion that it is necessary to effectively use modern approaches to developing and implementation strategies of sustainable socio-economic development in order to increase efficiency and competitiveness of economic entities. Basic research focuses on economic diagnostics of socio-economic potential and financial results of economic entities, transition period in the economy of individual countries and ensuring their competitiveness, assessment of educational processes and knowledge management. The research results have been implemented in the different models and strategies of supply and logistics management, development of non-profit organizations, competitiveness of tourism and transport, financing strategies for small and medium-sized enterprises, cross-border cooperation. The results of the study can be used in decision-making at the level the economic entities in different areas of activity and organizational-legal forms of ownership, ministries and departments that promote of development the economic entities on the basis of models and strategies for sustainable socio-economic development. The results can also be used by students and young scientists in modern concepts and mechanisms for management of sustainable socio-economic development of economic entities in the condition of global economic transformations and challenges

Working Capital Management as Crucial Tool for Corporate Performance in the Transport Sector: A Case Study of Slovakia and the Czech Republic

Working capital management is one of the decisive factors in increasing business performance through the efficient use of current assets such as inventories, receivables, funds, and current liabilities. The primary aim is to identify how working capital management using a wide range of liquidity and activity indicators affects the corporate performance of transport companies broken down by company size into small, medium, large, and very large companies in Slovakia and the Czech Republic using multiple linear regression analysis with achieving competitive R-square as a relevant statistical metric compared to other models from previous research. Our research focuses on a different industry than the traditional production industry. Descriptive statistics show that more than half of the assets are impelled assets in the corporate finances of transport companies. We deal with the impact of working capital management on corporate performance, considering the corporate size. This output delivers specific findings for small, medium, large, and very large businesses separately. All multiple linear regression models for estimating corporate performance are proposed for transport companies in the Czech and Slovak Republics. The results show that liquidity has a negative impact, in contrast to activity indicators except for DPO, on corporate performance in Czech transport companies. On the other hand, Slovak small, medium, and large enterprises must effectively manage free cash and cash equivalents, too. However, activity indicators, except DRO for an aggregated group of large and very large enterprises, also harm business performance. These outputs are beneficial for business management and making relevant decisions to increase business performance, the models identify the strengths and weaknesses of working capital management. In general, this research helps to make specific decisions focused on receivables, inventory management, and cash management as part of working capital management

Portfolio Optimalization on Digital Currency Market

Virtual currency represents a specific technological innovation on financial markets. Bitcoin and other cryptocurrencies are popular alternatives to traditional cash and investment. We indicate a research gap in the literature review. We find out that current research focused rarely on portfolio diversification using bibliographic analysis in VOSviewer. We think that portfolio diversification is extremely important on the crypto market for most investors because virtual currencies are very risky compared to traditional assets. The primary aim is to construct an optimal portfolio consisting of several cryptocurrencies without traditional assets using a modern theory portfolio. The total sample consists of 16 virtual currencies from 1 October 2017 to 13 January 2020. We mainly obtain historical data on the daily close price of cryptocurrencies from Yahoo Finance. The results show that the optimal portfolio using Markowitz approach consists of Cardano, Binance Coin, and Bitcoin. In addition, virtual currencies are moderately Correlated, with the exception of Tether based on correlation analysis. The high correlation is dangerous for cryptocurrency in portfolio diversification. However, Tether is an atypical virtual currency compared to other cryptocurrencies

The Impact of Working Capital Management on Corporate Performance in Small–Medium Enterprises in the Visegrad Group

Working capital management is a crucial pillar in corporate finance. The performance of transport companies can be improved by efficient working capital management through cash management, inventory management, and receivables management. This approach aims at sustainable growth of transport companies in international competition. The main aim of the article is to identify statistically significant variables from working capital management describing liquidity and activity, with a focus on corporate performance in the Visegrad Group countries. We designed models for small and medium-sized enterprises for each member state of the Visegrad Group and a universal model for the entire region. We applied a comprehensive model design process using multi-criteria linear regression, mainly on indicators from the Amadea financial statements in IBM SPSS 25. We described the overall sample using descriptive statistics, identify outliers, identify multicollinearity, and design models, and compared with other models describing return on assets. The added value is the explanation of the impact of working capital management on the performance of small and medium-sized transport companies in the Visegrad Group, which make up most companies in this sector. These findings help identify key aspects of working capital management that contribute to business performance. The paper presents a detailed output for future research into the role of working capital in corporate management

Capital Structure Theory in the Transport Sector: Evidence from Visegrad Group

Capital structure plays an important role in corporate finance, especially in the period of restrictive monetary policy in many developed countries. This paper aims to estimate the debt ratio based on five selected financial indicators: tangibility, return on assets, size of total assets, current ratio, and size of total sales using multiple linear regression for four countries, such as the Czech Republic, Hungary, Poland, and Slovakia, as well as the V4 region. The total sample consists of 3828 small- and medium-sized enterprises from the transport sector in the Central European area. These data are drawn from Amadeus by Bureau van Dijk from 2019. The results show that three of the five variables are statistically significant in all models. These findings indicate that transport companies prefer the pecking order theory. We find that the increase in tangibility, return on assets, as well as current ratio, reduce the debt ratio. The outputs provide new theoretical and empirical knowledge regarding transport companies in V4

Corporate Volunteering as a Current Phenomenon in Corporate Social Responsibility to Support the Career Development and Professional Skills of Employees during the COVID-19 Pandemic: A Case Study of the Slovak Republic

This paper aims to determine the association between the frequency of participation in corporate volunteering activities as a part of corporate social responsibility and career growth, developing a relationship with colleagues, and developing new experiences and skills in the workplace using correspondence analysis. The total sample consists of 385 respondents. These data were obtained using an online questionnaire during the COVID-19 pandemic. We find that employees, who frequently participate in corporate volunteering activities, have better possibilities for career growth. In addition, they think that corporate volunteering contributes to better relationships among colleagues in the workplace. Finally, the results demonstrate that developing work experience and skills is associated with corporate volunteering. The main benefits of volunteering include gaining a good feeling from the help provided and increasing self-confidence in professional life. Employees prefer outdoor activities to help the environment within the green policy of many companies in the COVID-19 period

Structure optimization of TiNi orthopaedic implants

Vol. 5, C8 (1995): International Conference on Martensitic Transformations : ICOMAT 95, Lausanne, Switzerland, August 20-25, 1995The optimized structure of TiNi ''memory implants'' results from optimized mechanical and heat treatment. The key characteristics (extent of recovery strain, generated forces, transformation temperatures) are dependent on the state of a TiNi alloy structure and on the stiffness of the system to be tired It follows from TEM analysis that the most important strustural parameters are the grain size of B2 phase and the dislocation density. Both these factors modify the conditions of B19' formation

Logit Model for Estimating Non-Profit Organizations’ Financial Status as a Part of Non-Profit Financial Management

The non-profit sector plays an important role in the American and European continents, as non-profit organizations support the development of civil society and help people in need. However, most non-profit organizations (NPO) are financially dependent on various donors from the private sector. Nowadays, non-profit organizations focus on improving their non-profit financial management. This research aims to assess the financial status of Slovak non-profit organizations, using binary logistic regression. The initial sample includes 351 Slovak NPOs, which are divided into a training and test sub-sample. The data were obtained from Amadeus, FinStat, the Ministry of Finance of the Slovak Republic, and the Ministry of Interior of the Slovak Republic. The logit model shows that the significant variables are equity ratio, debt ratio, operating margin, and type of NPO using the statistical–analytical program IBM SPSS 25. The model also implies that non-profit organizations should focus on the revenue structure and revenues from the sale of products. The prediction model correctly classifies 97.03% of NPOs in the training sub-sample and 96.61% of NPOs in the test sub-sample. Moreover, more than 70% of vulnerable NPOs are correctly classified

Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic

In this paper, we analyse the specific behaviour of passengers in personal transport commuting to work or school during the COVID-19 pandemic, based on a sample of respondents from two countries. We classified the commuters based on a two-step cluster analysis into groups showing the same characteristics. Data were obtained from an online survey, and the total sample size consists of 2000 respondents. We used five input variables, dividing the total sample into five clusters using a two-step cluster analysis. We observed significant differences between gender, status, and car ownership when using public transport, cars, and other alternative means of transportation for commuting to work and school. We also examined differences between individual groups with the same socioeconomic and socio-demographic factors. In total, the respondents were classified into five clusters, and the results indicate that there are differences between gender and status. We found that ownership of a prepaid card for public transport and social status are the most important factors, as they reach a significance level of 100%, unlike compared to other factors with importance ranging from 60 to 80%. Moreover, the results demonstrate that prepaid cards are preferred mainly by female students. Understanding these factors can help in planning transport policy by knowing the habits of users

Structure and surface of TiNi human implants

The surface and the "bulk" structure of TiNi implants were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoemission spectroscopy (XPS), and scanning Auger microprobe analysis (AES). TiNi implants were compared with otherwise identically prepared non-implanted specimens, and sputter-cleaned and reoxidized samples. Nonimplanted and implanted samples had essentially the same surface topography and microstructure. Ti, O, and C were the dominant elements detected on the surface. Trace amounts(similar to 1 at%) of Ni and Ca, N, Si, B, and S were also detected. Ti was present as TiO2 on the surface, while nickel was present in metallic form. A significant difference in Ni peak intensity was observed when retrieved or non-implanted control samples (a very low nickel content) were compared with sputter-cleaned and reoxidized samples (well-detected nickel). It is evident that the method of passivation is crucial for nickel loosening. No major changes occurred in the TiNi samples bulk structure or in the surface oxide during the implantation periods investigated