Success Factors in Peer-to-Business (P2B) Crowdlending: A Predictive Approach

Antonio M. Moreno-Moreno, Carlos Sanchis-Pedregosa, Emma Berenguer

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

9 Citas (Scopus)

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 originalInglés
Número de artículo8864063
Páginas (desde-hasta)148586-148593
Número de páginas8
PublicaciónIEEE Access
Volumen7
DOI
EstadoPublicada - 2019
Publicado de forma externa

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