Artificial Intelligence in Project Management: A Literature Review with a Focus on Requirements Management

Giovanna Marques Pereira (), Érika Souza de Melo (), Sanderson César Macêdo Barbalho () and Fabiany Cruz Gonzaga ()
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Giovanna Marques Pereira: University of Brasília, Mechanical Engineering Department
Érika Souza de Melo: University of Sherbrooke, Management Department
Sanderson César Macêdo Barbalho: University of Brasília, Industrial Engineering Department
Fabiany Cruz Gonzaga: State University of Southwest Bahia, Itapetinga Campus

A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 364-371 from Springer

Abstract: Abstract Engineering project management faces increasing complexity, requiring precise resource allocation and strict deadline control. Artificial Intelligence (AI) has emerged as a strategic tool to optimize processes and reduce risks throughout project lifecycles. Among its applications, requirements management stands out due to the challenges of defining, prioritizing, and tracking requirements in complex projects. This study conducts a literature review of scientific publications from the last ten years on AI in project management, with a focus on requirements management. The findings highlight the exponential growth in academic interest, key discussions, and emerging trends. While AI enhances automation and predictive capabilities, challenges persist regarding data quality, decision-making biases, and implementation barriers. Future research should address these limitations to ensure AI-driven project management becomes more adaptive, efficient, and data-oriented.

Keywords: Artificial Intelligence; Project Management; Requirements Management and Automation (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-23282-3_44

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DOI: 10.1007/978-3-032-23282-3_44

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