Project Management Maturity: an Analysis with Fuzzy Expert Systems

Abstract

In order to create proper conditions to make projects successful, a growing number of organizations are taking up the practice of assessing Project Management Maturity (PMM). PMM can be verified through a variety of models. This paper reports the results of a survey, which used the Kerzner Maturity model, of 101 Brazilian companies. The novel and scientific contribution of this paper is the use of a Fuzzy Expert System as a tool to deal with the model's subjectivity and to check the consistency of survey's responses. The methodological approaches of previous Project Management Maturity studies included only trivial statistical analysis and usually showed less accuracy in the final results than that of the current research. The present work innovates by introducing the use of intelligent techniques, such as Fuzzy Sets and Expert Systems, in the Project Management Maturity analysis.

Statistical Predictors of Project Management Maturity

“…The models have slight differences in conceptualization, such as the delineation of the PMM framework, the definition of maturity, the coverage of PM knowledge areas, and their scope. In addition, only 20% of the PMMM considers a performance measurement system (PMS), the existence of a project management office (PMO), and the organization operation type (OOT) as drivers for project success, and it is only improved upon when organizations perceive the driving forces [5,21,23,24].…”