Dominika Gajdosikova
Biographic Data
| ID | 6883685 |
|---|---|
| NAME | Dominika Gajdosikova |
| GIVEN NAMES | Dominika |
| FAMILY NAME | Gajdosikova |
| SIGNATURE | GAJDOSIKOVA D |
| AFFILIATIONS | University of Žilina |
| ORCID | 0000-0001-7705-3264 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting bankruptcy and ensuring financial sustainability: A focus on Visegrad economies
Bankruptcy prediction lies in the need for financial institutions, investors, and stakeholders to assess the financial health and solvency of companies. Bankruptcy prediction models aim to forecast the likelihood of a business facing financial distress or going bankrupt in the future. The main aim of the paper is to build a bankruptcy prediction model utilizing financial information from 12,816 business entities in the Visegrad Group countries. B…
Enterprise generative artificial intelligence technologies, Internet of Things and blockchain-based fintech management, and digital twin industrial metaverse in the cognitive algorithmic economy
Research background: Enterprise generative AI system-based worker behavior tracking and monitoring, socially responsible organizational practices, employee performance management satisfaction, and human resource management procedures, relationships, and outcomes develop on hiring and objective performance assessment algorithms in terms of human resource management activities, functions, processes, practices, policies, and productivity. Deep reinf…
Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries
Research background: Effective monitoring of financial health is essential in the financial management of enterprises. Early studies to predict corporate bankruptcy were published at the beginning of the last century. The prediction models were developed with a significant delay even among the Visegrad group countries. Purpose of the article: The primary aim of this study is to create a model for predicting bankruptcy based on the financial infor…
No prominent works on this page.
Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries
Research background: Effective monitoring of financial health is essential in the financial management of enterprises. Early studies to predict corporate bankruptcy were published at the beginning of the last century. The prediction models were developed with a significant delay even among the Visegrad group countries. Purpose of the article: The primary aim of this study is to create a model for predicting bankruptcy based on the financial infor…
Enterprise generative artificial intelligence technologies, Internet of Things and blockchain-based fintech management, and digital twin industrial metaverse in the cognitive algorithmic economy
Research background: Enterprise generative AI system-based worker behavior tracking and monitoring, socially responsible organizational practices, employee performance management satisfaction, and human resource management procedures, relationships, and outcomes develop on hiring and objective performance assessment algorithms in terms of human resource management activities, functions, processes, practices, policies, and productivity. Deep reinf…
Predicting bankruptcy and ensuring financial sustainability: A focus on Visegrad economies
Bankruptcy prediction lies in the need for financial institutions, investors, and stakeholders to assess the financial health and solvency of companies. Bankruptcy prediction models aim to forecast the likelihood of a business facing financial distress or going bankrupt in the future. The main aim of the paper is to build a bankruptcy prediction model utilizing financial information from 12,816 business entities in the Visegrad Group countries. B…
Business (2 works) · Financial Distress and Bankruptcy Prediction (2 works) · Actuarial science (1 works) · Artificial Intelligence (1 works) · Banking stability, regulation, efficiency (1 works) · Banking, Crisis Management, COVID-19 Impact (1 works) · Bankruptcy (1 works) · Bankruptcy Prediction (1 works) · Blockchain (1 works) · Cognition (1 works)