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Artículo
Success Factors in Peer-to-Business (P2B) Crowdlending: A Predictive Approach
dc.creator | Moreno Moreno, Antonio Manuel | es |
dc.creator | Sanchís Pedregosa, Carlos | es |
dc.creator | Berenguer, Emma | es |
dc.date.accessioned | 2020-04-03T09:03:15Z | |
dc.date.available | 2020-04-03T09:03:15Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Moreno Moreno, A.M., Sanchís Pedregosa, C. y Berenguer, E. (2019). Success Factors in Peer-to-Business (P2B) Crowdlending: A Predictive Approach. IEEE Access, 7, 148586-148593. | |
dc.identifier.issn | 2169-3536 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94870 | |
dc.description.abstract | 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. | es |
dc.format | application/pdf | es |
dc.format.extent | 8 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE | es |
dc.relation.ispartof | IEEE Access, 7, 148586-148593. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Crowdfunding | es |
dc.subject | Crowdlending | es |
dc.subject | Institutional lenders | es |
dc.subject | Logistic regression | es |
dc.subject | Non-professional lenders | es |
dc.subject | Peer-to-business (P2B) | es |
dc.title | Success Factors in Peer-to-Business (P2B) Crowdlending: A Predictive Approach | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Financiera y Dirección de Operaciones | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8864063 | es |
dc.identifier.doi | 10.1109/ACCESS.2019.2946858 | es |
dc.journaltitle | IEEE Access | es |
dc.publication.volumen | 7 | es |
dc.publication.initialPage | 148586 | es |
dc.publication.endPage | 148593 | es |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Success Factors in Peer-to-Business ... | 2.655Mb | [PDF] | Ver/ | |