Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Measuring the Financial Performance of MSMEs Through Artificial Neural Networks

Silva J.; Hernandez L.; Hernandez A.E.; Varela N.; Palma H.H.; Bilbao O.R.; Castro N.L.; Pulido R.P.; Guliany J.G. · Lecture Notes in Electrical Engineering (2020) · DOI: 10.1007/978-981-15-2612-1_17

Resumen

Given the importance of micro, small and medium-sized enterprises (MSMEs) in Colombia, both in terms of the number of enterprises and the generation of employment, it is important to know their nature, as well as the main determinants of their financial performance. In this sense, this paper aims to provide relevant information for the formulation of strategies, programs and public policies that promote practices within companies and thus improve the performance of this segment of organizations.

Instituciones: Universidad Peruana de Ciencias Aplicadas