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A systematic review of generative AI usage for IT project management

arXiv 2604.21958 ↗First posted 23 Apr 2026cs.SE cs.AIcited by 0

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Abstract (arXiv)

This paper aims to synthesize current knowledge on generative AI in IT project management using the PRISMA methodology to provide researchers with a comprehensive perspective on techniques, applications, adoption trends, limitations, and integration across project management tools and process groups. The analysis reveals a clear dominance of OpenAI's GPT in the included studies but relying primarily on prompt engineering, suggesting that research in this area remains at an exploratory stage. Finally, it identifies and discusses three promising research directions for AI-enabled project management, including process group-specific AI agents, project role-based AI agents, and hybrid collaborative networks that enable human-guided orchestration.

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References · 9

  1. 2025AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challengescited by 169
  2. 2017Guidelines for including grey literature and conducting multivocal literature reviews in software engineeringcited by 41
  3. 2024Using LLMs in Software Requirements Specifications: An Empirical Evaluationcited by 20
  4. 2025Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detectioncited by 6
  5. 2024An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classificationcited by 4
  6. 2025Cognitive Agents Powered by Large Language Models for Agile Software Project Managementcited by 4
  7. 2025Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Surveycited by 2
  8. 2025Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literaturecited by 2
  9. 2025Enhancing Team Diversity with Generative AI: A Novel Project Management Frameworkcited by 1

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