Michal Karas

Online technologies are currently the most dynamically developing industry, both in product creation and promotion. The study focuses on their incorporation into the SME (small and medium enterprises) segment, which comprises the most economically stable element of any European economy. This paper aims to identify and evaluate dependency in the area of online technologies and promotion tools use in small and medium enterprises (SMEs) related to company age and export involvement. Most research on SMEs focuses on external influences and factors, while this article reflects the internal environment of business entities, which is the source of this study’s originality. The hypotheses were validated by an empirical study of a sample of 743 respondents (companies and entrepreneurs, including family businesses). The research method was a combination of CATI and CASI, and the research tool was a structured questionnaire. To analyze the survey results, the Chi-square test of independence was applied. The key finding was validation of the dependence between the use of the online tools for manufacturing and promotion and the export focus of companies. Companies operating on foreign markets use a wider range of online tools for their business than companies focused on the domestic market. On the other hand, the presumed significant differences in the use of online tools between young businesses and companies long-term established on the market were not confirmed.

Acknowledgment
The authors are thankful to the Technology Agency of the Czech Republic, University of Technology in Brno and University of Finance and Administration in Prague, Project No.: “TL02000434 Rodinné podniky: generátory hodnoty a určování hodnoty v procesu nástupnictví” for financial support to carry out this research.

Type of the article: Research Article

Although financial reporting and auditing standards are substantially harmonized across the European Union, important differences remain in national accounting regulations, audit thresholds, and the practical application of the going concern principle. These differences are particularly relevant for small and medium-sized enterprises (SMEs), which constitute the dominant segment of the Visegrad Four (V4) economies. This paper examines differences in financial reporting and auditing frameworks among the Czech Republic, Hungary, Poland, and Slovakia and develops sector-specific distress prediction models to support going-concern assessments in SME auditing.

The empirical analysis is based on financial statement data for 66,988 active firms obtained from the Orbis database. After data cleaning and consistency checks, a modelling sample of approximately 41,000 SMEs was constructed. Financial distress is defined as a persistent inability to cover interest obligations, represented by two consecutive years in which earnings before interest and taxes (EBIT) are lower than interest expenses. Distress status is modelled using financial ratios, firm-size indicators, industry characteristics, and selected variables inspired by ISA 570. Separate binomial logistic regression models are estimated for country–industry groups derived from NACE classifications and evaluated using hold-out samples.

The results confirm that country- and sector-specific models achieve satisfactory predictive performance and provide useful support for assessing going-concern risks. The results also show that the most informative predictors differ across countries and industries, reflecting differences in regulatory environments and economic structures. The study highlights the importance of local calibration when developing distress prediction models and demonstrates that a universal approach may lead to reduced predictive accuracy. The proposed models provide a practical screening tool for auditors, lenders, and SME managers, complementing professional judgement and broader audit procedures.

Acknowledgments

This study is co-financed by the governments of Czechia, Hungary, Poland, and Slovakia through Visegrad Grants from the International Visegrad Fund. Visegrad Grant No. 22420285, Title of the project: “Distress prediction models in V4 countries and their audit applicability”. The mission of the Fund is to advance ideas for sustainable regional cooperation in Central Europe. The authors gratefully acknowledge the support of their home institutions and thank the anonymous reviewers for their insightful comments and suggestions.