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Statistical Predictors of Project Management Maturity

Author

Listed:
  • Helder Jose Celani de Souza

    (Department of Production, Universidade Estadual Paulista (UNESP–Sao Paulo State University), Guaratingueta 12516-410, Brazil)

  • Valerio Antonio Pamplona Salomon

    (Department of Production, Universidade Estadual Paulista (UNESP–Sao Paulo State University), Guaratingueta 12516-410, Brazil)

  • Carlos Eduardo Sanches da Silva

    (Institute of Industrial Engineering and Management, Federal University of Itajuba, Itajuba 37500-903, Brazil)

Abstract

Global scenarios of organizations show investments wasted in projects with poor performances in more than 11 percent of cases, according to the Project Management Institute. This research aims to guide organizations in assertively investing in the right pertinent factors to improve project success rates and speed up project management maturity at a higher accuracy level using statistical predictions. Challenging existing drivers for project management maturity models and expanding their current practical view will be the result of a quantitative methodology based on a survey supported by data collection targeting the project management community in Brazil. The originality and value of this research are in contributing to the development of new project maturity models statistically supported by the increasing rate of maturity accuracy, which can be continually improved by confident data input into the model. The results show a high correlation between the performance measurement system and the project success rate associated with project management maturity. In addition, this research contemplates the relationship between organizational culture, business type, and project management office and project management maturity.

Suggested Citation

  • Helder Jose Celani de Souza & Valerio Antonio Pamplona Salomon & Carlos Eduardo Sanches da Silva, 2023. "Statistical Predictors of Project Management Maturity," Stats, MDPI, vol. 6(3), pages 1-21, August.
    • Handle: RePEc:gam:jstats:v:6:y:2023:i:3:p:54-888:d:1217968
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    References listed on IDEAS

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    1. Ghalayini, Alaa M. & Noble, James S. & Crowe, Thomas J., 1997. "An integrated dynamic performance measurement system for improving manufacturing competitiveness," International Journal of Production Economics, Elsevier, vol. 48(3), pages 207-225, February.
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