Advances of Artificial Intelligence in Organizational Project Management: A Systematic Literature Review
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Published
02-06-2025
Lady-Joana Rodríguez
Nicolás Sarache-Ossa
William Sarache
Mauricio Ospina-Fonseca
Universidad Nacional de Colombia, Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Industrial, Bloque T, Campus La Nubia, Manizales, 170001 - Colombia
https://orcid.org/0000-0001-5173-2680
Nicolás Sarache-Ossa
Stockholm University, Department of Computer and System Sciences. NOD-huset, Borgarfjordsgatan 12, 16455 Kista, Stockholm, Sweden
William Sarache
Universidad Nacional de Colombia, Facultad de Ingeniería y Arquitectura, Departamento de Ingeniería Industrial, Bloque Q Campus La Nubia, Manizales, 170001 – Colombia
Mauricio Ospina-Fonseca
Proyectiza S.A.S. Calle 62 No. 23-61, Of. 902, 170001 – Colombia, www.proyectiza.com
Abstract
Organizational project management (OPM) encompasses three key domains: program management, portfolio management, and project management (PM), in addition to organizational enablers. Research indicates increasing application of artificial intelligence (AI) technologies within OPM. However, an analysis of published literature reviews on the topic reveals significant advancements primarily within the PM domain, with limited progress observed in program management, portfolio management, and organizational enablers. Therefore, this study seeks to identify progress in AI applications across all three domains and organizational enablers within OPM to establish emerging trends and highlight future research opportunities. A systematic literature review was conducted utilizing the SCOPUS and Web of Science databases. After applying a series of filters, 87 publications were selected for analysis. The study identifies AI applications in four types of tasks related to OPM: routine, decision-making, judgment, and problem-solving. Results indicate that while application of AI technologies remains primarily focused on PM, there are new advancements in program and portfolio management. However, they occur mainly in operational processes; strategic aspects remain largely underdeveloped. Regarding organizational enablers, similar to the previously published review papers, no AI applications are reported. This study identifies organizational challenges and research opportunities in four main areas: data collection, development of algorithms tailored to project requirements, human resource management, and ethical practices.
How to Cite
Rodríguez, . L.-J. ., Sarache-Ossa, . N., Sarache, W., & Ospina-Fonseca, M. (2025). Advances of Artificial Intelligence in Organizational Project Management: A Systematic Literature Review. Cuadernos De Gestión, 1–20. https://doi.org/10.5295/cdg.252329ws
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Keywords
Organizational Project Management, Artificial Intelligence, Project Management, Portfolio Management, Program Management
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