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dc.creatorSilva, Jesus
dc.creatorHernandez, Lissette
dc.creatorEmilia Hernandez, Ana
dc.creatorVarela, Noel
dc.creatorHernandez Palma, Hugo Gaspar
dc.creatorRedondo Bilbao, Osman
dc.creatorLeón Castro, Nadia
dc.creatorPrieto Pulido, Ronald
dc.creatorGarcía Guliany, Jesús
dc.date.accessioned2020-04-23T16:34:00Z
dc.date.available2020-04-23T16:34:00Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/11323/6239
dc.description.abstractGiven 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.spa
dc.language.isoengspa
dc.publisherUniversidad de la Costaspa
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectFinancial performancespa
dc.subjectOrganizational practicesspa
dc.subjectMicrofirmsspa
dc.subjectArtificial neural network (RNA)spa
dc.titleMeasuring the financial performance of MSMEs through artificial neural networkspa
dc.typePreprintspa
dc.type.hasVersioninfo:eu-repo/semantics/draftspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1007/978-981-15-2612-1_17


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CC0 1.0 Universal
Except where otherwise noted, this item's license is described as CC0 1.0 Universal