The application of artificial intelligence in project management research: a review

• Jesús Gil Ruiz ^[1] ; Javier Martínez Torres ^[2] ; Rubén González Crespo ^[1]
  1. [1] Universidad Internacional de La Rioja

     Universidad Internacional de La Rioja

     Logroño, España

     
  2. [2] Universidade de Vigo

     Universidade de Vigo

     Vigo, España

     
• Localización: IJIMAI, ISSN-e 1989-1660, Vol. 6, Nº. 6, 2021, págs. 54-66
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• 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.