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A synthetic indicator of market leaders in the crowdlending sector

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A synthetic indicator of market leaders in the crowdlending sector

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dc.contributor.author Ribeiro-Navarrete, Samuel es_ES
dc.contributor.author Palacios Marqués, Daniel es_ES
dc.contributor.author Martín Martín, José María es_ES
dc.contributor.author Guaita Martínez, José Manuel es_ES
dc.date.accessioned 2022-11-24T19:03:40Z
dc.date.available 2022-11-24T19:03:40Z
dc.date.issued 2021-08-02 es_ES
dc.identifier.issn 1355-2554 es_ES
dc.identifier.uri http://hdl.handle.net/10251/190183
dc.description This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (please insert the web address here). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limites es_ES
dc.description.abstract [EN] Purpose - This study contributes to the limited literature on crowdlending by providing a data-driven analysis of the sector. Asynthetic DP2 indicator is proposed to identify the leaders of the crowdlending market, the key factors behind their success and the medium-term competitive implications. Design/methodology/approach - The study examines 17 crowdlending platforms and eight performance indicators. The information provided by these indicators is aggregated using a synthetic indicator based on the P-2 Distance (DP2) method. Findings - Mintos, Evoestate, Peerberry, Bondster and Fellow Finance are the leading platforms. This method reveals the key variables in the identification of market leaders, namely year-on-year variation in the number of investors and year-on-year variation in lending per investor. The leaders in terms of lending volumes should not take their current situation for granted. Small and medium-sized platforms are pushing hard and may overtake the incumbents as market leaders. Practical implications - Financial intermediation through crowdlending is becoming an increasingly popular alternative to traditional models. Changes in the sector are expected in the coming years due to the rise of platforms with a moderate amount of lending and solid year-on-year improvement. To become leaders and to attract both lenders and borrowers, platforms are encouraged to improve the information that they provide. Originality/value - This paper offers the first analysis of market leadership in the crowdlending sector. It analyses the competitive market of the crowdlending sector based on its actors and key factors. These factors explain the differences in the market position of different platforms. Based on this analysis, the trends in this sector can be identified. This study is exploratory, so it offers empirical data that can be useful in the development of theories that apply to the sector. es_ES
dc.language Inglés es_ES
dc.publisher Emerald es_ES
dc.relation.ispartof International Journal of Entrepreneurial Behaviour & Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Crowdlending es_ES
dc.subject Synthetic indicator es_ES
dc.subject Financial intermediation es_ES
dc.subject Digital economy es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A synthetic indicator of market leaders in the crowdlending sector es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1108/IJEBR-05-2021-0348 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Ribeiro-Navarrete, S.; Palacios Marqués, D.; Martín Martín, JM.; Guaita Martínez, JM. (2021). A synthetic indicator of market leaders in the crowdlending sector. International Journal of Entrepreneurial Behaviour & Research. 27(6):1629-1645. https://doi.org/10.1108/IJEBR-05-2021-0348 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1108/IJEBR-05-2021-0348 es_ES
dc.description.upvformatpinicio 1629 es_ES
dc.description.upvformatpfin 1645 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 27 es_ES
dc.description.issue 6 es_ES
dc.relation.pasarela S\456079 es_ES


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