During the evolution of project management, various authors have proposed theories regarding the roles and structures of Project Management Offices (PMOs). In literature, a wide variety of PMOs can be identified. Each PMO has essentially been tailored to the organization that supports it. However, the high rate of project and PMO failures suggests that it is possible to generalize the best practices. The first section of the methods chapter introduces various concepts related to project management and PMOs. The second section presents a model for the creation and decision-making processes within PMOs. The core of the proposal focuses on decision-making methods for PMOs and how these methods evolve with the introduction of artificial intelligence. Additionally, different PMO contexts and best practices for the scenarios analyzed are discussed. The study also examines various roles within PMOs and their relationship to project management maturity levels. In the results analysis, the proposal is validated by subject matter experts using computational techniques based on linguistic approximations and the Delphi method.

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Model for the Creation and Decision-Making in Project Management Offices (PMO)

  • Daniel Fuentes Ruiz,
  • Luis Alvarado Acuña,
  • Boris Heredia Rojas,
  • Juan Huidobro Arabia,
  • Pedro Yobanis Piñero Pérez,
  • Raykenler Yzquierdo Herrera

摘要

During the evolution of project management, various authors have proposed theories regarding the roles and structures of Project Management Offices (PMOs). In literature, a wide variety of PMOs can be identified. Each PMO has essentially been tailored to the organization that supports it. However, the high rate of project and PMO failures suggests that it is possible to generalize the best practices. The first section of the methods chapter introduces various concepts related to project management and PMOs. The second section presents a model for the creation and decision-making processes within PMOs. The core of the proposal focuses on decision-making methods for PMOs and how these methods evolve with the introduction of artificial intelligence. Additionally, different PMO contexts and best practices for the scenarios analyzed are discussed. The study also examines various roles within PMOs and their relationship to project management maturity levels. In the results analysis, the proposal is validated by subject matter experts using computational techniques based on linguistic approximations and the Delphi method.