The financial health of a company can be seen as the ability to maintain a balance against changing conditions in the environment and at the same time in relation to everyone participating in the business. In the evaluation of financial health and prediction of financial problems of the companies, various indexes are used that can serve as input for expert estimation or creation of various models using, for example, multi-dimensional statistical methods. The practical application of the proper method for evaluation of financial health has been analysed in post-communist countries, since they have common historic experiences and economic interests. During the research we followed up the following indexes: Altman model, Taffler model, Springate model, and the index IN, based on multi-dimensional discrimination analysis. From the research results there is obvious a necessity to combine available methods in post-communist countries and at least to eliminate their disadvantages partially. Experiences from prediction models have proved their relatively high prediction ability, but only in perfect conditions, which cannot be affirmed in post-communist countries. The task remains to modify existing indexes to concrete situations and problems of the individual industries in the chosen countries, which have unique conditions for business making.

The hospitality industry's footprint is characterized by heavy resource consumption and significant waste production. Due to the sustainability there is necessary to use triple bottom line approach, to measure hospitality industry impact on people, the planet and profits (3P criteria). The hospitality has improved its efforts to effectively measure and protect natural resources, but the pillar of social sustainability is increasingly highlighting the role of people. Hospitality sector does not publicly report any of the criteria; only the activities associated with social care and overall welfare. Therefore, we researched possibility to use a joint sustainability index to measure the 3Ps for hospitality industries. The results reveal methods, models, inputs, and outcomes and define the users by anticipating their needs in terms of new sustainability measures in the hospitality industry. The results show that the planet category was weighted the highest, the people category was weighted highly for satisfaction, and profit category was weighted on the upper scale during the research period. This contribution employs a hospitality organization model, but the ideas can be extended to whole other types of organizations.

Activity in the mining industry is based on the profitability principle similar to other business sectors. In the case of stone pits, gravel and sand quarries, it presents a very complex task, mainly due to the fact that the economy of localities is influenced greatly by natural conditions, which cannot be changed. The presented contribution deals with the problem of how mining companies, realizing the surface extraction of construction materials, could be profitable in the future. The main research method of this contribution presents regression and correlation analyses with the goal of determining parameters with a decisive influence on the future economic development of the locality. A complex system of stone pit, gravel and sand quarries demanded discriminant analysis to evaluate individual localities with the goal of dividing them into profitable and not profitable localities. The results of the contribution divide localities of quarry mining among profitable or not profitable, serving for predicting the future development of the company, based on discriminant analysis. The results of maximally possible measures respect assumptions, enabling the correct application of such multivariate statistical methods. A further orientation of the research in an area of model creation for predicting the future development of the company is possible in the application of logistic regression and neuron nets.

Objective: The article addresses the research gap in understanding corporate social responsibility (CSR) dynamics during the COVID-19 pandemic, presenting the outcomes of a national research initiative in Slovakia. Research Design & Methods: The research delves into the social, economic, and environmental components of CSR, aiming to quantify their individual effects and uncover potential interconnections. Operationalising questions into variables allows for a rigorous examination of these dimensions, utilizing factor analysis with principal component analysis. With 190 organisations answering a questionnaire, the study provides quantitative and qualitative insights. Findings: The results show that CSR has the most significant impact on strengthening corporate reputation across all three dimensions. CSR reinforced the importance of ethical and sustainable strategies during the pandemic, with organisations with an active CSR strategy performing better. The research confirmed that CSR is key to building corporate credibility and competitiveness. Implications & Recommendations: Based on the information above and the article’s content, we want to provide direction for further research. It is mainly about investigating the impact of the COVID-19 pandemic, especially after the post-COVID-19 period, in the most critical areas that evoke CSR and the business environment, such as corporate culture, human resources, and companies’ financial and economic situations. Contribution & Value Added: The presented research aimed to expand knowledge about the effects and impacts of social responsibility on organisations that implement socially responsible activities and the region and society in which they operate. We based the research on the processing of data from a nationwide survey. We processed a total of 190 valid questionnaires, which enabled the use of descriptive and inference statistics procedures.

This chapter identifies the most effective measures of corporate social responsibility pillars that prompt the CSR implementation as an innovative tool for modern business. Differences between the respondents' education level and the level of their awareness with the concept of CSR are researched. Primary data were collected by conducting the survey in 2019; statistical analysis of data was performed using software SAS: analytics, business intelligence, and data management. The results showed that research and development in the field of environmental protection, development of qualification, skills of employees and conducting a systematic stakeholders' survey about the company's activities are the most effective measures to improve innovation through CSR. The research found that the level of education affects the level of knowledge about CSR, and the job title of the respondents has no effect on the level of CSR concept awareness. The study also provides significant recommendations for improving the level of CSR implementation that can be used by all kinds of business.

The development of knowledge society and the conception of human capital stimulated creation of a different view to human resources. The key factors of company success are not just material and financial sources; greater attention is given to talents. Human resources present most important strategic assets of a company. Employees that can be marked as “talents” have the greatest importance. Organizations receive talents differently, which is caused by different environments and conditions. Implementation of talent management in practice is not yet distinct, since there is a lack of process idea. The chapter focuses on an overview of the opinions of experts on talent management in literature, identification and evaluation of career building of employees in an industrial company in Slovakia, with suggestions on the application of a talent management model.