The Relationship between Coordination Mechanisms and Communication Efficiency in Projects Involving Marketing Managers: Quantitative Findings from Moroccan SMEs
Bibliographic record
Abstract
Project coordination is recognized as one of the most important aspects that should be integrated effectively in project management to guarantee project success. In fact, coordination provides organization the ability to integrate heterogeneous activities for achieving specific targets. In project, when teams are built according to cross-functional approach, coordination is required to enhance communication between all project stakeholders. This article is in search of the relationship between specific project coordination mechanisms, adopted by marketing managers to integrate other functional activities, and project communication efficiency. Methodologically, our research was based on a quantitative questionnaire distributed to 107 functional managers involved in cross-funtional project team in Moroccan SMEs. An appropriate statistical analysis was deployed to examine data collected. Findings show the existence of a positive correlation between project coordination mechanisms and project communication efficiency. Besides, the importance given to marketing managers’ participation in project meetings was found as a factor impacting the amount of time devoted to. Therefore some insights are emphasized to develop research in this field.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".