Compromise between creative activities and project management activities: a contingency factor
Bibliographic record
Abstract
Creative organizations are characterized by project management and struggle with a tension between their creative activities and their project management activities. They must reach a compromise allowing the management of this tension. This research’s objective is to explore this compromise as a contingency factor in the competitive positioning of these organizations in the creative market. Therefore, this research supports existing project management literature on contingency. To do so, we conducted a multiple correspondence analysis with data collected (semi-structured interviews) from 35 creative workers, artistic directors and project managers working in 11 advertising agencies. The theoretical framework of justification of Boltanski and Thevenot (1991, 2006) was used to explore the compromise as a contingency factor. This research proposes a practical and a theoretical contribution. On the one hand, it guides creative organizations wanting to modify their competitive positioning based on managing the compromise of the tension between creative activities and project management activities. On the second hand, it uses an original analysis technique to study the contingency in the management of projects.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".