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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2015
    • vol. 3, nº 5, december 2015
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2015
    • vol. 3, nº 5, december 2015
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    Artificial Intelligence Applied to Project Success: A Literature Review

    Autor: 
    Fernández Rodríguez, Juan Carlos
    ;
    Magaña Martínez, Daniel
    Fecha: 
    2015
    Palabra clave: 
    artificial intelligence; DSS; project management; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/10184
    DOI: 
    https://doi.org/10.9781/ijimai.2015.3510
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2517
    Open Access
    Resumen:
    Project 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.
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