Μεθοδολογίες Agile με την χρήση της τεχνητής νοημοσύνης (Τ.Ν.) για την διοίκηση/διαχείριση έργων

Κατράλη, Χριστίνα

Agile methodologies using artificial intelligence (AI) for project management and administration

Master Thesis

Author

Κατράλη, Χριστίνα

Date

2025-12

Abstract

This postgraduate dissertation examines Agile Methodologies as a modern framework for Project Management, analysing their role in improving efficiency, adaptability, and overall project performance within a rapidly evolving business landscape. Drawing on an extensive literature review and an analysis of key Agile approaches (Scrum, Kanban, Lean, XP, DSDM), the study outlines both the theoretical progression and the practical application of flexible project management practices. The research delineates the distinctions between traditional, agile, and hybrid project management models, emphasising their respective advantages, limitations, and appropriate contexts of use. Particular emphasis is placed on the integration of Artificial Intelligence (AI) into project management, positioning it as an innovative mechanism that enhances decision-making, enables risk forecasting, and optimises resource allocation. The dissertation further investigates the contribution of AI to maximising the effectiveness of Agile methodologies, highlighting its function as an enabling technology that strengthens predictive capabilities and operational efficiency. The study concludes by offering directions for future research, including the development of performance evaluation criteria for AI, the identification of critical factors influencing its adoption, and the advancement of high-level competencies among project managers. Overall, this work contributes to a deeper understanding of how agile practices and artificial intelligence are transforming the contemporary project management landscape, offering theoretical insights and practical considerations for the discipline’s ongoing evolution.

Postgraduate Studies Programme

Ψηφιακός Πολιτισμός, Έξυπνες Πόλεις, IoT και Προηγμένες Ψηφιακές Τεχνολογίες

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/18772

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα