The paper presents the results from the research on the factors influencing the use of the Balanced Scorecard methodology in measuring company performance in the engineering sector. The primary objective of the research was to verify the importance of using non-financial factors in managing businesses in connection to the use of the Balanced Scorecard methodology and to verify the dependence between the use of the given methodology and the lack of human and financial resources for its usage. The research focusing on the given issue was conducted over a period of six months. The research was based on the hypotheses that were verified with statistical methods using the methodology of a Chi-square test. To identify the factors that hinder the usage of the Balanced Scorecard methodology in the addressed enterprises, the method of standard deviation was used. The main result of the research is a finding that there is a statistically significant relationship between the enterprises considering the non-financial indicators and the use of the Balanced Scorecard methodology to be important. This relationship is confirmed also by the calculation using a test with p = 0.0422. The research verified one of the main research goals, i.e., the importance of non-financial indicators in connection to the Balanced Scorecard concept (BSC). Other hypotheses are related to the issue of the lack of human and financial resources. Using the Chi-square test in these cases once again, the study also found out the existence of the dependence between the lack of these resources and the use of the Balanced Scorecard methodology. The final value p = 0.0446 relating to human resources and the value p = 0.0377 relating to financial sources define the barriers as being important in implementing the BSC methodology into corporate practice. These values confirm other research results related to the barriers of using BSC. The presented paper assesses the research results that confirm the importance of using non-financial indicators and define the barriers that hinder this usage. The research contributed to the extension of the knowledge of the BSC concept that we consider being a modern managerial future-oriented tool and supported its implementation in companies so that they could operate within the framework of sustainable development.

Slovak spa services are not given sufficient attention directly following the support and sustainable development. The paper focuses on the evaluation of the overall development and current level of efficiency of the Slovak spas in 2013–2018, through the application of DEA models. Input variables (total number of beds, employees, medical staff) and output variables (use of bed capacity, number of treated clients) within the structure of DEA models analyzed (CCR-I, CCR-O, BCC-I, BCC-O) are determined by results of the correlation analysis. The data were obtained from the annual reports of the spa enterprises. By the results, the average efficiency score for all enterprises reached 0.7527, i.e., the average spa enterprise would need only 75.27% of currently used inputs for a given output production to move to the efficiency frontier. The development of the average efficiency score confirmed a positive growing trend until 2015; however, the efficiency decreased by 1.84% in a year-to-year comparison in 2016–2018. In each year of the analyzed period, the number of inefficient enterprises (66.67%) exceeded that of the efficient ones (33.33%). Through research carried out in spa facilities, the authors contributed to expanding the application of the DEA method in another tourism sector.

Measuring the performance and efficiency of the tourism enterprises is essential regarding the current pandemic situation. In such a context, improving their financial situation and competitive position also depend on the use of innovative multi-criteria evaluation models. The paper's main objective is to propose the newly designed Performance & Efficiency model (P&E model) for Slovak spa enterprises. Its structure consists of three dimensions – P&E_I, P&E_II, P&E_III. The application of Confirmatory Factor Analysis validates 34 key performance ratios reflecting the financial situation of enterprises within the P&E_I. In case of P&E_II, the development of value-added dynamics is measured by using the Economic Value Added Momentum. Using the Data Envelopment Analysis, the level of enterprise efficiency is quantified (P&E_III). The partial results of the dimensions are transformed using min-max normalization to the overall score ranging from 0 to 3. Based on the results, a rating scale of all enterprises is carried out, and both their partial and overall positions are assessed through benchmarking. During the research (2013 – 2018), the best results are achieved for SE03 (Spa Bojnice, Inc.), SE21 (Specialised Spa Institute Marína, s.e.), and SE18 (Spa Horný Smokovec, Ltd.). The worst-rated spa enterprises include SE14 (Natural Iodine Spa Číž, Inc.), SE09 (Spa Sliač, Inc.), and SE19 (Pieniny Resort, Ltd.). The proposed P&E model is easily applicable to other tourism enterprises. The research as carried out enables deepening of knowledge concerning the multi-criteria evaluation and management concepts and helps enterprises overcome current unfavorable situations.

The scientific periodical journal (indexed on Web of Science) published by the Tomas Bata University in Zlin offers results of basic and applied economic research in the English language.

Globally, millions of people suffer from poverty. This paper discusses the problem of poverty especially in relation to food waste. The prevention of food waste can also contribute to global poverty reduction, and the reduction of food waste is a tool for sustainable growth and competitiveness. At present, the number of people at risk of poverty and the amount of food waste are increasing at unsustainable rates. An integrated and efficient tool for the management of food, energy, and water (FEW) resources to improve FEW security via an interdisciplinary approach could help address several of the most significant global challenges, such as climate change, and economic, environmental, and social security. The aim of this study was to examine the relationship between the existence of poverty and the treatment of food for sustainable growth. The analysis focused on the EU countries and the main data source was the Eurostat database. Households generally create the largest proportion of food waste. Pareto analysis shows that in households, food and non-alcoholic beverages are among the first group of expenses, and in the EU countries they represent approximately 12% of the total expenses. Food and non-alcoholic beverages are a stable, unavoidable, and non-negligible element of total expenses. Paradoxically, enormous amounts of food are wasted. A relatively weak inversely proportional relationship between the amount of food waste per capita and the proportion of the population at risk of poverty among the total population of EU countries was identified through correlational analysis. A very weak relationship between the share of the population at risk of poverty in the total population and the amount of food waste per capita, excluding the population at risk of poverty, was also found.

Research background: The BSC and EFQM models are important tools to help SMEs to improve their performance through strategic initiatives in cooperation with operational activities, through the essential elements of these models. Purpose of the article: The objective of the research presented in this paper is to analyse and compare the existence of Balanced Scorecard and EFQM models in small and medium-sized enterprises (SMEs), and to suggest possibilities of applying these models to a wider range of SMEs. Methods: The process of evaluating research aim was based on a questionnaire survey. The number of respondents was 378. Both small and medium-sized enterprises participated in the survey, with the number of their employees being as follows: from 1 to 9 a total of 28.6% enterprises (28.6%), from 10 to 49 a total of 38.1% enterprises (38.1%) and from 50 to 249 a total of 33.3% enterprises. The methods of descriptive statistics and correlation and regression analysis were used to test the scientific hypotheses. Findings & Value added: Since the research results point to a relatively high dependence, it can be concluded that implementing the models in the SME sector has its justification. In terms of their management practice, the authors of this paper have used the findings directly in their consulting and research activities, and have incorporated the models into strategic management systems of particular enterprises. Recommendations presented here are therefore based on the research as well as conclusions of the hypotheses tested regarding the above two models and their larger introduction to SMEs. The rate of use of the BSC model in SMEs has a statistically significant positive effect on the model performance measurement system. Our results also confirmed that the rate of use of the EFQM models (H3B) in SMEs has not a statistically significant positive effect on the performance measurement system (PMS).