Dal Project Management Opinion-Based al Project Management Ai-Augmented: decisioni basate sulle evidenze e gestione dei Bias

Journal title PROJECT MANAGER (IL)
Author/s Massimo Pirozzi, Francesca Apponi
Publishing Year 2026 Issue 2026/66
Language Italian Pages 7 P. 26-32 File size 322 KB
DOI 10.3280/PM2026-066006
DOI is like a bar code for intellectual property: to have more infomation click here

Below, you can see the article first page

If you want to buy this article in PDF format, you can do it, following the instructions to buy download credits

Article preview

FrancoAngeli is member of Publishers International Linking Association, Inc (PILA), a not-for-profit association which run the CrossRef service enabling links to and from online scholarly content.

  1. [11] Pirozzi M. (2019). “The Stakeholder Perspective – Relationship Management to Increase Value and Success Rates of Projects”, CRC Press, Taylor & Francis Group
  2. [12] Project Management Institute (2018). PMI’s Pulse of the Profession 2018 – 10th Global Project Management Survey – Success in Disruptive Times, Project Management Institute
  3. [1] Project Management Institute (2024). Maximizing Project Success, Project Management Institute
  4. [2] Project Management Institute (2021). A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – 7th Edition and The Standard for Project Management, Project Management Institute
  5. [3] Pirozzi M. (2024). “The Stakeholder Perspective in the Generative Artificial Intelligence Scenario and the AIStakeholders, Featured Paper”, PM World Journal, Vol. XIII, Issue VIII – August 2024
  6. [4] ISO, ISO 21502 (2020). Project, programme and portfolio management – Guidance on project management, International Organization for Standardization
  7. [5] Schindler M. & Eppler M.J. (2003). “Harvesting project knowledge: a review of project learning methods and success factors”, International Journal of Project Management
  8. [6] Duffield S. & Whitty S.J. (2015). “Developing a systemic lessons learned knowledge model for organisational learning through projects”, International journal of project management
  9. [7] Tversky A. & Kahneman D. (1974). “Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty”, Science, New Series, Vol. 185, no. 4157
  10. [8] Lovallo D. & Kahneman D. (2003). “Delusions of success”, Harvard business review
  11. [9] Flyvbjerg B. (2006). “From Nobel Prize to project management: Getting risks right”, Project Management Journal, Vol. 37, no. 3
  12. [10] Nikander I.O. & Eloranta E. (2001). “Project management by early warnings”, International journal of project management
  13. [13] Project Management Institute (2019). “The standard for risk management in portfolios, programs, and projects”, Project Management Institute
  14. [14] Flyvbjerg B. (2021). “TopTen Behavioral Biases in Project Management: An Overview”, Project Management Journal, Vol. 52, no. 6
  15. [15] Pirozzi M. and Apponi F. (2026). “From OpinionBased to AIAugmented Project Management: EvidenceBased Decisions, Measurably Better Outcomes, and Effective Bias Management”, PM World Journal, Vol. XV, Issue II, February 2026

Massimo Pirozzi, Francesca Apponi, Dal Project Management Opinion-Based al Project Management Ai-Augmented: decisioni basate sulle evidenze e gestione dei Bias in "PROJECT MANAGER (IL)" 66/2026, pp 26-32, DOI: 10.3280/PM2026-066006