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

Maria Elena Nenni (), Fabio Felice (), Cristina Luca () and Antonio Forcina ()
Additional contact information
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”

Management Review Quarterly, 2025, vol. 75, issue 2, No 18, 1669-1716

Abstract: 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.

Keywords: Artificial intelligence; Project risk management; PMBOK; Decision making; Expert system (search for similar items in EconPapers)
JEL-codes: D2 D24 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11301-024-00418-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:manrev:v:75:y:2025:i:2:d:10.1007_s11301-024-00418-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11301

DOI: 10.1007/s11301-024-00418-z

Access Statistics for this article

Management Review Quarterly is currently edited by Thomas Reutterer, Jonas F. Puck, Engelbert Dockner and Anne d'Arcy

More articles in Management Review Quarterly from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().