The Perceived Value and Potential Contribution of Project Management Practices to Project Success
Bibliographic record
Abstract
This paper contributes to the ongoing work and debate on the value of project management, accomplishing this through an empirical investigation of practitioner perceptions on the relative value of different project management practices and their potential to contribute to improved project performance. This investigation is based on a large-scale survey of 753 project management practitioners. This paper aims to answer four questions relating to the value of project management. By identifying the most valued practices, practitioners and organizations can identify their priorities when developing their project management competencies. This can also guide the profession in selecting priorities for future development. When choosing priorities to develop and implement, organizations can look to the tools that practitioners identify as most valuable, as having the most potential for increased contribution to project performance, and as presently under-utilized. In order to fully understand the nature of project management practices, and the mechanisms through which these create value, researchers must better clarify the distinction between the project phases and project processes. These findings can help project management professionals in selecting priorities for future development.
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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 | 0.027 | 0.127 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".