TY - JOUR KW - Artificial Intelligence KW - DSS KW - Project Management AU - Juan Carlos Fernandez-Rodriguez AU - Daniel Magaña Martínez AB - 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. IS - Regular Issue M1 - 5 N2 - 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. PY - 2015 SP - 77 EP - 84 T2 - International Journal of Interactive Multimedia and Artificial Intelligence TI - Artificial Intelligence Applied to Project Success: A Literature Review UR - http://www.ijimai.org/journal/sites/default/files/files/2015/11/ijimai20153_5_10_pdf_21674.pdf VL - 3 SN - 1989-1660 ER -