La relation entre le style de leadership et la performance d'une équipe de projet
Bibliographic record
Abstract
RÉSUMÉ: Le leadership joue un rôle fondamental dans les organisations. Il est particulièrement important dans la gestion des équipes de projet qui supposent la réalisation d'un objectif dans des limites de temps et de coûts bien précises. À cet égard, nous posons la question de recherche suivante: quelle est la relation entre le style de leadership et la performance d'une équipe de projet? Basé sur les recherches de l'impact des styles de leadership sur la performance organisationnelle, ce mémoire explore la relation entre le style de leadership d'un chef d'équipe projet, à l'aide d'une approche de recherche quantitative, soit une enquête par questionnaire. Grâce à l'analyse des données, nous concluons que chaque style de leadership influence différemment la performance des équipes, en fonction de la motivation du leader. -- ABSTRACT: Leadership plays an important role in project management, which directly affects the management effects and the overall organizational performance. Project team is commonly established and used in organizations for a short term or a long term, in order to develop a specific organizational function or to complete a particular task. In this situation, leaders in these project teams will also take great responsibility for the regular operation of the teams, managing the project team members to work toward the objectives of tasks. What is the link between leadership styles and the performance of project teams? Based on the researches of the impacts of leadership styles on organizational performance, this thesis explores the link between leadership styles of a leader and performance of project team, through using quantitative research approaches, mainly questionnaire survey. Through analysis, we conclude that the influence of different leadership styles have on team performance is various, depending of the motivation of the leader.
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".