Artificial Intelligence Applied to Project Success: A Literature Review

• Main Authors: Daniel Magaña Martínez, Juan Carlos Fernandez-Rodriguez
• Format: Article
• Language: English
• Published: Universidad Internacional de La Rioja (UNIR) 2015-12-01
• Series: International Journal of Interactive Multimedia and Artificial Intelligence
• Subjects: Artificial Intelligence; DSS; Project Management
• Online Access: http://www.ijimai.org/journal/node/865

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.