Juan Lara-Rubio

TL;DR: In this article, the authors explored the adoption of mobile payment systems from the point of view and perspective of the merchants and proposed some suggestions to incentive and encourage the intention to use of these mobile payment system regarding each participant in the adoption process.

TL;DR: An extensive list of Statistical Learning techniques as microfinance credit scoring tools from an empirical viewpoint is explored and shows that, with the implementation of this MLP-based model, the MFIs@?

TL;DR: A pioneer study of intention to use with mobile payment using logistic regression and nonparametric methods, which finds that the multilayer perceptrons (MLP) prediction model for the use of P2P payment obtains higher AUC values, and thus is more accurate, than the LR model.

TL;DR: In this paper, the authors analyse the research advances made in the field of financial inclusion and the main lines of investigation currently being addressed by means of a bibliometric analysis, and propose a line of research that also includes the proposals from the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals.

TL;DR: In this article, the authors conducted an empirical study of 148 Spanish municipalities and analyzed data from four years, applying a random effects logistic regression model to identify risk factors for default by local governments, and provide useful information to municipal financial managers.