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We all know that the spread of the COVID-19 disease has brought significant restrictions for the whole world, which are also closely related to the business activities of companies. Due to the measures taken by the government of the Slovak Republic, some businesses were limited in the performance of their activities. In order to achieve the goal, in addition to general logical methods, we used hierarchical agglomerative cluster analysis. We chose the ward method as the clustering method. Ward's method of minimum variance is an agglomerative (merging) hierarchical method. Slovak businesses in the field of tourism, the most businesses contained cluster 3, which contained 16 businesses. This most numerous and dominant cluster has an average asset indicator value of 8546978 €. In Slovakia, as part of the aid to tourism enterprises at the government level, a call was launched within the framework of the scheme, during which it was possible to draw aid for the months of April to October 2020. This aid was supposed to cover the loss of 10% of their sales to entrepreneurs in the gastronomy and tourism industry.

The aim of the paper is to propose a suitable structure of the newly designed Financial Health & Prediction (FH&P) rating model, and by putting it into practice in Slovak spa enterprises, to contribute to the development of financial management concepts for spa facilities operating in the field of tourism. The quantification of individual dimensions of the FH&P rating model was based on the calculation of selected ten key financial ratio indicators and prediction models. The values (in different units of measure) were converted to points using compiled transformation tables which formed the final score of the FH&P rating model and subsequently the proposed A-FX rating. Based on the results, Kúpele Bojnice, Inc. (SE03), Špecializovaný liečebný ústav Marína, s.e. (SE21) and Kúpele Nimnica, Inc. (SE07) received the best rating. This innovative model provides financial managers actual, simple and understandable overview of the financial health of a spa company and its future financial perspective. With a several adjustments, the FH&P rating model is easily applicable in any economic sector of Slovakia.

The aim of the paper is to examine the issue of market recovery and business entities in the pandemic and postpandemic period. Overall it points out the possibilities of the solution on the basis of interviews and utilizing the models of simulation of the results of companies that have been affected by the crisis. The paper used statistical data obtained by research in the analysed period March - April 2020 and in the examined years 2019 to 2023, including prognostic data from the sources of the Ministry of Finance of the Slovak Republic. Based on the results of selected companies with and without pandemic measures were simulated. Resulting from the research findings, proposed model presents the state of the company affected by the crisis and ways of solving how to get out of this crisis and design further development in the post-pandemic period. The paper pointed out the need to increase expertise in decision-making on the development of the economy of business entities and subsequently the development of the industry with targeted support from the state based on research base in combination with future modelling methods.

Tourism is an industry that is developing dynamically worldwide, and Slovakia, which has significant potential in the area, is no exception. In order for a country to become competitive in tourism, it must follow the prevailing trends and continually carry out innovative activities, under which we also consider non-traditional forms of tourism. The aim of this article is to analyze the importance and address the future development of non-traditional forms of tourism in Slovakia (food tourism, health tourism, adventure tourism, dark tourism, etc.), to further examine the impact on the country's economy, sustainability and competitiveness. The article focuses on the demand for these forms of tourism from the perspective of visitors. Using hypotheses we found the statistical dependence (of the p value comparison) between the respondents (men and women of different age groups) and their preference for specific unusual forms of tourism. For the analysis of specific objectives we used data collected using a questionnaire on unusual forms of tourism and their development in Slovakia. The subsequent processing and presented results also show how complex the segmentation of the tourism market is, how differentiated and variable the needs and motivation factors of tourism participants are, and how new interests and needs in tourism are emerging dynamically. The results of our survey show the need for more research to explore the ever-changing needs and conditions in tourism industry in order to fully understand the non-traditional tourism with its potential, benefits, message and value of present and future generations.

The article deals with the issue of applying management tool by using the Balanced Scorecard in hotel facilities in Slovakia. The main goal of the paper is to emphasize the importance of using the tools of strategic management in our case the method of Balanced Scorecard (BSC) in hotel segment but also in the other segments of business. The basis of the article forms the stated hypotheses focused on using the method of BSC in hotel facilities and verifying statistic influences in using the conception in hotels based on sizes of companies. These hypotheses were subsequently validated by the method of proportion the given data in population and the chi-squared method of independence testing. The hypotheses were formed on basis of literal search which is described in the competent chapter focused on expert texts and the research which has been carried out up to now. According to statistical verification we can state that there exists statistically important relationship between size of hotel facilities and using Balanced Scorecard and we can also state that more than 10% of hotel facilities use the Balanced Scorecard method.

In this paper, we addressed the analysis of strategic management issues with specific focus on the use of Balanced Scorecard concept within the Slovak tourism enterprises. The main objective of paper is to highlight barriers complicating the application of the above mentioned method into business practice by means of the data obtained from the questionnaire survey. The essence of paper consisted of hypotheses formulated on the basis of literature review with an emphasis on professional publications and research studies conducted so far. Hypotheses were verified by selected statistical methods to explore the potential dependencies between variables. The partial objective of this research study was to point out the importance of Balanced Scorecard concept in terms of enterprise management assessing its performance by financial indicators as well as non-financial indicators.

Tourism development currently represents a very important part of national economics and its development and growth. To ensure growth, managers are looking for new effective tools to optimize decision making. This paper addresses the issue of dashboards based on neural networks and their utilization in managerial decision-making processes. Dashboard based reporting is oriented towards the tourism sector in Slovakia. The result of the research is the proposed balanced ranking and prediction model using financial and nonfinancial indicators with the application of artificial intelligence which allows to reach high level of efficiency and accuracy in evaluation of financial and nonfinancial health of companies operating in the hospitality sector. The proposed model also brings a new managerial and scientific point of view on the in-depth analysis of performance of these facilities. The main function of the proposed model is to classify health of a hotel. For this purpose, the MLP (Multi-Layer Perceptron) feedforward artificial neural network using backward propagation of errors was chosen as a training method.