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Collectivus: Revista de Ciencias Sociales
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Collectivus: Revista de Ciencias Sociales
Article
License: CC BY NC
Data sources: UnpayWall
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Caracterización socioeconómica de las micro, pequeñas y medianas empresas (mipymes) del Alto Magdalena

Authors: María Patricia Díaz;

Caracterización socioeconómica de las micro, pequeñas y medianas empresas (mipymes) del Alto Magdalena

Abstract

El propósito de esta investigación, se origina en la necesidad de obtener mayor información acerca del tipo de estructura económica de las MIPYMES de los municipios del Alto Magdalena, departamento de Cundinamarca.Se identificaron las características socioeconómicas de las Mipymes de la provincia del Alto Magdalena, tales como las formas de conducta y actitudes de los propietarios y colaboradores, el manejo de sus ingresos, capital, sector económico al que pertenecen entre otros aspectos. El enfoque de la investigación es mixto, buscando comprender algunas características propias de quienes manejan las Mipymes, partiendo de la base de datos suministrada por la cámara de comercio de Girardot, tomando empresas con un tamaño comprendido entre 1 y 200 trabajadores, se utilizó como instrumento de recolección de información una encuesta para ser aplicada en los municipios de la provincia del Alto Magdalena: Girardot, Agua de Dios, Guataquí, Jerusalén, Nilo, Nariño, Ricaurte y Tocaima.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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