Factors that influencing default loan repayment among micro-entrepreneurs / Siti Noor Hidayuu Kamalrulzaman, Wei-Loon Koe and Shafinar Ismail

The expansion of Microfinance Institutions (MFIs) has experienced high growth and the implication is that increased competition could lead to a higher incidence of default. Since the borrower responsible for their own individual loan either in group lending and individual lending, intention are the best predictor as indications of a person’s readiness to perform a specific behaviour. This study will identify the factors that causes from MFIs expansion such as motivation for future loan, family business capital, and self-efficacy towards double dipping that influence default loan repayment intention. The Theory of Planned Behavior is used as the focal theory. The empirical results of this study will assist in policy development eventually affects the sustainability capacity of MFIs

Efficiency measurement of cloud service providers using network data envelopment analysis

An increasing number of organizations and businesses around the world use cloud computing services to improve their performance in the competitive marketplace. However, one of the biggest challenges in using cloud computing services is performance measurement and the selection of the best cloud service providers (CSPs) based on quality of service (QoS) requirements (Duan, 2017). To address this shortcoming in this article we propose a network data envelopment analysis (DEA) method in measuring the efficiency of CSPs. When network dimensions are taken into consideration, a more comprehensive analysis is enabled where divisional efficiency is reflected in overall efficiency estimates. This helps managers and decision makers in organizations to make accurate decisions in selecting cloud services. In the current study, variable returns to scale (VRS), the non-oriented network slacks-based measure (SBM) model and input-oriented and output-oriented SBM models are applied to measure the performance of 18 CSPs. The obtained results show the superiority of the network DEA model and they also demonstrate that the proposed model can evaluate and rank CSPs much better than compared to traditional DEA models

Riesgos en las microfinanzas: una revisión y análisis bibliométrico

Las estrategias de recuperación en las microfinanzas no son las más acertadas. Algunas de las respuestas a estos desaciertos son los riesgos sociales. El tema se ha investigado por más de 25 años dejando muchos interrogantes hasta la actualidad. El objetivo de este artículo fue presentar una revisión bibliométrica y sistemática de los Riesgos en las Microfinanzas, con plataformas como Bibliometrix y Gephi. Se hicieron consultas en bases de datos como WoS y Scopus, que permitieron una clasificación de documentos en tres categorías según su trascendencia; clásicos, estructurales y recientes; adicional, se realiza un análisis de cocitaciones mostrando resultados en cuatro diferentes enfoques: Instituciones, Prevencion de VIH/SIDA, Crédito y Desarrollo de Género. Concluyendo el incumplimiento de los propósitos microfinancieros