Resumen
Peer-to-Business (P2B) crowdlending is gaining importance among companies seeking funding. However, not all projects get the same take-up by the crowd. Thus, this study aims to determine the key factors that drive non-professional investors to choose a given loan in an online environment. To this purpose, we have analyzed 243 crowdlending campaigns on October.eu platform. We have obtained a series of variables from the analyzed loans using logistic regression. Results indicate that loan amount, loan term and overall credit rating are the key predictors of non-professional lender P2B crowdlending success. These findings may be useful for predicting whether the crowd will subscribe to a loan request or not. This information would help businesses to modify specific loan characteristics (if possible) to make their loans more attractive or could even lead companies to consider a different financial option. It could also help platforms select and adapt project parameters to secure their success.
| Idioma original | Inglés |
|---|---|
| Número de artículo | 8864063 |
| Páginas (desde-hasta) | 148586-148593 |
| Número de páginas | 8 |
| Publicación | IEEE Access |
| Volumen | 7 |
| DOI | |
| Estado | Publicada - 2019 |
| Publicado de forma externa | Sí |
Huella
Profundice en los temas de investigación de 'Success Factors in Peer-to-Business (P2B) Crowdlending: A Predictive Approach'. En conjunto forman una huella única.Citar esto
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