Developing Improvement Planning Phase in Project Management Maturity Models
Bibliographic record
Abstract
The suggested cycle of project management maturity model generally include phases of evaluation, planning, improvement and finally cycle repeat which is largely based on a cycle known as Deming or PDCA. “Improvement Planning Phase” is the most important phase requiring development among these models that it is not discussed much. The major criteria for prioritization and planning in this phase were investigated in a research by authors. At first, the literature of subject is reviewed, by doing a series of interviews with project management consultants then prioritization criteria is identified, and eventually it is continued with more analysis on each of these criteria by distributing the questionnaire. The most significant criteria can be mentioned as current maturity level, desired maturity level for each process, relative balance between maturity levels of different processes, relations (predecessor & successor) between processes, the impact of each process on success, resources and organizational effort required for implementation, the role of organization (employer/contractor) and the acceptance of organization in different processes. Finally, according to the criteria a model was developed for “improvement planning phase”. A model is regarded as an improvable point in these models if it pays attentions to all criteria in addition to the relative importance of each criterion and importance of each process compared to each criterion in form of a specific procedure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".