The importance of business models for small and medium-sized enterprises (SMEs) in terms of their competitiveness and sustainability is undoubtedly growing. The global Covid-19 pandemic even strengthens this trend. The degree of digitalization of corporate processes becomes the SME stability and development limitation. The paper submitted presents the results of research focused on the issue of digital transformation of business models on a test sample of 496 SMEs (out of which 214 operate in the manufacturing sector and industry and 218 are included in the services sector) using the method of dimensionality reduction and logit regression. The main output from the solution valid for both tested sectors is considered insufficient setting, management and evaluation of corporate processes. This applies to the main value-creating processes (input and output logistics, production, marketing and sales, service and other ancillary services) and supporting processes (purchase, scientific and technological development, human resources management and company infrastructure). In terms of the achieved degree of process digitization, an imbalance was found between the main value-creating processes and supporting processes. Investment in value-creating and supporting corporate processes are not considered an important factor for any of the sectors due to the high sensitivity of investments to the size and specialization of companies. In contrast, the higher perceived need for value chain digitization in both tested sectors, especially in the case of manufacturing and industry, is considered a very positive output. This proves the need for the digital transformation of companies and its positive impact on their profitability and competitiveness.

Digital technologies represent an important factor in the achievement of the sustainability goals of the European Green Deal. Whether the digitalisation trend will contribute to the sustainable development of societies in the long term depends on how we shape and understand it. The aim of this paper is to create a concept for the management of the threats and opportunities in the digital transformation of SMEs. As part of a broader research project, a complex tool was developed to assess the digital maturity of SMEs, and our paper focuses on one aspect of this tool, which is related to the identification and management of the opportunities and threats that are associated with digital transformation trends. The methodology that was used to develop this paper is based on a pilot survey that involved 154 SMEs in the Czech Republic, 74 of which were used for the follow-up survey on the opportunities and threats. Sixteen key trends were identified, which were then reduced to five latent factors, with their names forming five dimensions. In the cluster analysis, the companies were divided into three clusters, which served as the basis for determining the final cluster centres. The result is a concept for the management of the threats and opportunities in the digital transformation of SMEs. Digital transformation is the broad topic. Therefore, the theoretical overlap of this study can be seen in the narrower focus on the identification and management of the opportunities and threats in digital transformation. In addition, this study focuses on SMEs because there are more than one million small and medium-sized enterprises in the Czech Republic, and they create 54% of the innovative solutions. The practical impact of this study can be understood in the fact that the proposed concept may enable SMEs to more easily manage threats and opportunities in their digital transformation.

The article presents a new approach to the generation of business models based on value streams. The originality of the study lies in the assumption that in every business model the generator of added value is the value chain which, if original enough, will maximize potential while minimizing costs. This approach will provide the respective enterprise with a high level competitiveness in the long term. The tested group of enterprises consisted of 354 SMEs, one hundred eightyseven of which were from the manufacturing and industry sector, with 167 from the services sector. The novelty of this approach also consists of the integrated approach to the business environment in which the value streams were analyzed. The results suggest that the analysis of value streams is suitable for the projection of business models. In addition, the methods of dimensional reduction and logit regression have been identified as appropriate analytical tools, with representative results found valid and utilizable in business practice. The authors of the article are aware that this is only the first step in addressing this issue, one which will play a critical role in the gradual process of the upcoming digital transformation of all business models, not only those of SMEs in the Czech Republic.

This paper presents a method of generating a business strategy using value chain analysis. There were 186 manufacturing and industrial enterprises from the Czech Republic. The analysis was carried out using mathematical–statistical methods (dimensional reduction, logit regression and its transformation in order to objectify the opinion level of the managers) and with a neural network in terms of validation of the results of the mathematical–statistical methods. The aim was to determine the significance of different parts of the value chain in terms of their impact on the profitability of an enterprise and to demonstrate its important role in the process of generating business strategy. The significance for the profitability of the enterprises was statistically proven in the area of scientific and technological development, input logistics and human resource management. These parts were identified by the authors as the golden triangle of manufacturing and industry. Purchasing and output logistics were identified as the parts with a negative impact to the profitability of the enterprises. Strong underestimation of scientific and technological development by the top managers of the manufacturing and industrial enterprises is seen as a very negative finding. Neural networks showed higher statistical sensitivity compared to the mathematical–statistical methods (dimensional reduction and logit regression). They defined the value sector chain with the following structure (ranked from the highest degree of positive impact on the profitability of the enterprise): human resource management, scientific and technological development, production, input logistics, purchasing, material management, output logistics, enterprise infrastructure, marketing and sales, service and other supporting services. In conclusion, it is stated that the sector value chain of manufacturing and industrial enterprises will be further decomposed into value chain models of specific industries of the production and industry, such as engineering and construction, intended for direct use in different business entities to generate their unique value chains and corporate strategies.

The world’s economy has been significantly affected by the ongoing pandemic crisis. Its logical reflection is a deteriorating condition of national and regional economies and their vehicles—enterprises. Negative effects of the crisis have influenced both the manufacturing sector and the services sector, where some segments have been hit fatally. In the corporate sphere in general, including in the services sector, there has been a growing need to change the approach to corporate strategy. The strategy should be generated based on management of value-creating processes with the objective to maximize satisfaction of customers while minimizing costs. This is also the topic of this paper. A representative sample of small and medium enterprises from the services sector have been surveyed about their size, using mathematical statistics and models that have been proposed to maximize profit probability. The objective was to propose models that maximize probability of profit and, at the same time, minimize costs for each combination of value chain activities (input logistics, provision of services, output logistics, marketing and sale, servicing, and other accompanying activities, purchasing material management, science-technical development, human resources management and company infrastructure). The main outcome of this paper is the fact that we have been able to prove the functionality of the tested model, which has demonstrated the growing importance of value stream management in relation to the size of enterprises. Such a universal and structured model provides a practical tool for the definition of economic-financial, investment and personnel policies in enterprises.

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.