IDEAS home Printed from https://ideas.repec.org/a/spr/manrev/v75y2025i2d10.1007_s11301-024-00418-z.html
   My bibliography  Save this article

How artificial intelligence will transform project management in the age of digitization: a systematic literature review

Author

Listed:
  • Maria Elena Nenni

    (University of Napoli Federico II)

  • Fabio Felice

    (University of Naples “Parthenope”)

  • Cristina Luca

    (University of Naples “Parthenope”)

  • Antonio Forcina

    (University of Naples “Parthenope”)

Abstract

Among the causes of the low success rate of the projects (around 35% of the total) is the low level of maturity of the technologies available for the management of the projects themselves. However, today many researchers, startups and innovative companies are starting to apply artificial intelligence (AI), machine learning and other advanced technologies to the field of project management. By 2030 the industry will undergo significant changes. By using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol this paper explores the intersection of project risk management and AI. The study highlights how AI-driven methodologies and tools can revolutionize the way project risks are managed throughout the project lifecycle. Specifically, 215 papers have been analysed to explore how the scientific community has been moving so far on the topic. Besides, a cross-sectional investigation of the PM processes and AI categories/tools was carried out to identify any path that is prevalent, where the prevalence comes from, and for which PM process or sector it is most successful. Finally, from this study several gaps emerged that scientific research would have to fill to effectively implement AI in PM and that have been turned into opportunities for future research in the form of a research agenda.

Suggested Citation

  • Maria Elena Nenni & Fabio Felice & Cristina Luca & Antonio Forcina, 2025. "How artificial intelligence will transform project management in the age of digitization: a systematic literature review," Management Review Quarterly, Springer, vol. 75(2), pages 1669-1716, June.
    • Handle: RePEc:spr:manrev:v:75:y:2025:i:2:d:10.1007_s11301-024-00418-z
    DOI: 10.1007/s11301-024-00418-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11301-024-00418-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11301-024-00418-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Artificial intelligence; Project risk management; PMBOK; Decision making; Expert system;
    All these keywords.

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:manrev:v:75:y:2025:i:2:d:10.1007_s11301-024-00418-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.