The Integration of Artificial Intelligence in Project Management: A Review

Project management is the coordination of a number of procedures to achieve ‎the desired goals of a project. It involves planning, monitoring and execution. The over ‎expansion of IT projects increased their complexity, uncertainty and its variability. ‎Therefore, it has become difficult for traditional methods to manage these projects ‎effectively. As these methods rely on experience and intuition and cannot deal with vast ‎amounts of data, repetitive tasks or high variability. As a result, the outcomes maybe ‎prone to errors. Consequently, the failure rate of IT projects increases. Since technology ‎is an essential element for any organization, they have to find solutions in order to ‎manage IT projects. AI has proven its effectiveness in many fields. In this research, ‎through a literature review, we will study the most prominent aspects of integration ‎between AI and project management in terms of challenges and impacts. As well as the ‎contribution of AI in the knowledge areas of project management. We will focus on ‎exploring how AI improves these specific knowledge areas: risk management, cost ‎management, and scheduling management. From this research, we conclude that AI ‎proved its ability to enhance many aspects of project management. Therefore, the ‎research offers important insights for organizations that attempt to adopt AI into project ‎management‎.

Authors

Publication Details

Journal
Science Publishing Corporation (Science Publishing Corporation Inc.)
Published
2025-12-19
DOI
https://doi.org/10.14419/0v55sy74
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Integration of Artificial Intelligence in Project Management: A Review

Nouf Ahmad Almojel, Omer Alrwais
Science Publishing Corporation (Science Publishing Corporation Inc.)
Construction Project Management and Performance
article

The Integration of Artificial Intelligence in Project Management: A Review

Nouf Ahmad Almojel, Omer Alrwais
article en

Abstract

Project management is the coordination of a number of procedures to achieve ‎the desired goals of a project. It involves planning, monitoring and execution. The over ‎expansion of IT projects increased their complexity, uncertainty and its variability. ‎Therefore, it has become difficult for traditional methods to manage these projects ‎effectively. As these methods rely on experience and intuition and cannot deal with vast ‎amounts of data, repetitive tasks or high variability. As a result, the outcomes maybe ‎prone to errors. Consequently, the failure rate of IT projects increases. Since technology ‎is an essential element for any organization, they have to find solutions in order to ‎manage IT projects. AI has proven its effectiveness in many fields. In this research, ‎through a literature review, we will study the most prominent aspects of integration ‎between AI and project management in terms of challenges and impacts. As well as the ‎contribution of AI in the knowledge areas of project management. We will focus on ‎exploring how AI improves these specific knowledge areas: risk management, cost ‎management, and scheduling management. From this research, we conclude that AI ‎proved its ability to enhance many aspects of project management. Therefore, the ‎research offers important insights for organizations that attempt to adopt AI into project ‎management‎.

Science Publishing Corporation (Science Publishing Corporation Inc.)
Openalex Percentile: Top 30%
Construction Project Management and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.