| Title |
The evaluation of access to credit for small and medium enterprises / |
| Translation of Title |
Kredito prieinamumo vertinimas mažoms ir vidutinėms įmonėms. |
| Authors |
Malakauskas, Aidas |
| Full Text |
|
| Pages |
210 |
| Keywords [eng] |
small and medium enterprises ; access to credit ; machine learning ; XAI |
| Abstract [eng] |
Small and medium-sized enterprises (SMEs) play a crucial role in the global economy. One of the main challenges they face is limited access to external sources of financing. Although there has been considerable research on separate factor groups and individual factors, the importance of each factor group, individual factors and their interactions remains unclear. The aim of this research is to create an SME access to credit evaluation model and apply it empirically. The findings of the dissertation contribute to the scientific literature related to the evaluation of credit accessibility for SMEs and provide new insights into the potential applications of machine learning methods. Additionally, the dissertation provides an overview of the underlying factors and interactions which are crucial for SMEs to access credit. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Doctoral thesis |
| Language |
English |
| Publication date |
2023 |
