Mostrar el registro sencillo del ítem

dc.contributor.authorFernández Rodríguez, Juan Carlos
dc.contributor.authorMagaña Martínez, Daniel
dc.date2015
dc.date.accessioned2020-06-16T08:17:03Z
dc.date.available2020-06-16T08:17:03Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10184
dc.description.abstractProject control and monitoring tools are based on expert judgement and parametric tools. Projects are the means by which companies implement their strategies. However project success rates are still very low. This is a worrying situation that has a great economic impact so alternative tools for project success prediction must be proposed in order to estimate project success or identify critical factors of success. Some of these tools are based on Artificial Intelligence. In this paper we will carry out a literature review of those papers that use Artificial Intelligence as a tool for project success estimation or critical success factor identification.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 3, nº 5
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2517es_ES
dc.rightsopenAccesses_ES
dc.subjectartificial intelligencees_ES
dc.subjectDSSes_ES
dc.subjectproject managementes_ES
dc.subjectIJIMAIes_ES
dc.titleArtificial Intelligence Applied to Project Success: A Literature Reviewes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2015.3510


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem