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

In: Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems

Author

Listed:
  • 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)

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.

Suggested Citation

  • Giovanna Marques Pereira & Érika Souza de Melo & Sanderson César Macêdo Barbalho & Fabiany Cruz Gonzaga, 2026. "Artificial Intelligence in Project Management: A Literature Review with a Focus on Requirements Management," Springer Proceedings in Business and Economics, in: Fabiano Armellini & Syrine Njah & Elaine Mosconi & Breno Nunes (ed.), Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, pages 364-371, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23282-3_44
    DOI: 10.1007/978-3-032-23282-3_44
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