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    The Application of Artificial Intelligence in Project Management Research: A Review

    Autor: 
    Gil Ruiz, Jesús
    ;
    Martinez Torres, Javier
    ;
    González-Crespo, Rubén
    Fecha: 
    2021
    Palabra clave: 
    artificial intelligence; decision support systems; evolutionary diffuse hybrid neuronal network; project management; project success; critical; WOS(2); Scopus
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12309
    DOI: 
    https://doi.org/10.9781/ijimai.2020.12.003
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2868
    Open Access
    Resumen:
    The field of artificial intelligence is currently experiencing relentless growth, with innumerable models emerging in the research and development phases across various fields, including science, finance, and engineering. In this work, the authors review a large number of learning techniques aimed at project management. The analysis is largely focused on hybrid systems, which present computational models of blended learning techniques. At present, these models are at a very early stage and major efforts in terms of development is required within the scientific community. In addition, we provide a classification of all the areas within project management and the learning techniques that are used in each, presenting a brief study of the different artificial intelligence techniques used today and the areas of project management in which agents are being applied. This work should serve as a starting point for researchers who wish to work in the exciting world of artificial intelligence in relation to project leadership and management.
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