Characterisation of youth entrepreneurship in Medellín-Colombia using machine learning

The aim of this paper is to identify profiles of young Colombian entrepreneurs based on data from the “Youth Entrepreneurship” survey developed by the Colombian Youth Secretariat. Our research results show five profiles of entrepreneurs, mainly differentiated by age and entrepreneurial motives, as w...

Full description

Autores:

Ojeda Beltran, Adelaida
Solano-Barliza, Andrés D.
ARRUBLA HOYOS, WILSON DE JESÚS
Ortega, Danny Daniel
Cama-Pinto, Dora
Holgado-Terriza, Juan Antonio
Damas, Miguel
Toscano-Vanegas, Gilberto
Cama-Pinto, Alejandro

Tipo de recurso:

Article of journal

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10297

Acceso en línea:

https://hdl.handle.net/11323/10297
https://repositorio.cuc.edu.co/

Palabra clave:

Artificial intelligence
Machine learning
Data mining
K-mean
Youth entrepreneurship

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)