Measuring the financial performance of MSMEs through artificial neural network

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 determinantsoftheirfinancialperformance.Inthissense,thispaperaimsto provide rel...

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Autores:
Silva, Jesus
Hernandez, Lissette
Emilia Hernandez, Ana
Varela, Noel
H, H
Redondo Bilbao, Osman
León Castro, Nadia
Prieto Pulido, Ronald
García Guliany, Jesús
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6239
Acceso en línea:
https://hdl.handle.net/11323/6239
https://doi.org/10.1007/978-981-15-2612-1_17
https://repositorio.cuc.edu.co/
Palabra clave:
Financial performance
Organizational practices
Microfirms
Artificial neural network (RNA)
Rights
openAccess
License
CC0 1.0 Universal
Description
Summary: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 determinantsoftheirfinancialperformance.Inthissense,thispaperaimsto 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.