Kerzner Project Management Maturity Model
Harold Kerzner developed the Project Management Maturity Model (PMMM) in 2002 as a maturity model to support the standardization found in the Project Management Body of Knowledge book, which is held by the Project Management Institute (PMI).
- Kerzner Project Management Maturity Model Maturity Level
Harold presented a five-level project management maturity model, with levels 1being common language, Level common process, Level 3 methodology, Level 4 benchmarking, and Level 5 continuous improvement. Figure 1 depicts the five levels’ progression and lists the accomplishments for each level.
Figure 1. Staging Project Management Maturity Models
Each of the five levels in the model has a distinct meaning, including:
Common Language Level 1 At this level, the organization’s common language is that strong project management and a fundamental knowledge of project management are crucial. A Guide to the Project Management Body of Knowledge (PMBOK® Guide) is the standard for using project management. (Common Process) Maturity Level 2: Standard Process The company is already aware of how crucial it is to balance the project’s processes. (Singular Methodology) Level 3 Maturity Singular Methodology, Level 3 The company is aware of the significance of the unique process. Controlling the project management process is made simpler by the use of a single approach. (Benchmarking) Level 4 When comparing maturity levels, the organization recognizes the need to enhance current procedures, which is crucial to maintaining a high standard of excellence among businesses. The company takes benchmarking data into account at the Level 5 (Continuous Improvement) Maturity Level; this data will be used for assessment at the Level 3 methodological stage, whether it supports it or not.
Source:
- I. Rizaldi and M. I. Wijaya, “Evaluating the IT-Based Project Management Maturity Level in PT XYZ, Indonesia,” 2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA), Taiz, Yemen, 2023, pp. 1-5, doi: 10.1109/eSmarTA59349.2023.10293320.