Le caractère social du management stratégique des firmes d'une région ultrapériphérique : le cas de la Guadeloupe
Bibliographic record
Abstract
(VF)Les firmes en régions ultra-périphériques, très éloignées de l’Europe, ont des difficultés de développement économique. En raison d’un environnement institutionnel plus turbulent, la gestion des relations avec ce dernier prend une importance particulière. Nous présentons une recherche empirique sur la stratégie de 58 firmes en Guadeloupe qui montre que l’environnement institutionnel est déterminant pour leur survie économique. La gestion des rapports avec les organisations de l’État central et de ses composantes régionales apparaît dépendre surtout des caractéristiques des dirigeants. En particulier, la compréhension par ces derniers des dynamiques institutionnelles et leurs talents dans les rapports avec l’environnement institutionnel est un déterminant du succès. Nous en tirons quelques conséquences pour le management stratégique des firmes dans des pays en situation de transition.(VA) Firms in ultra-peripheral regions are located at a long distance from continental Europe. They face specific difficulties in their economic development. Firms in those regions have to tackle a more turbulent institutional environment than their counterparts in continental Europe, which suggests that the management of the relationship with such an environment takes on a great importance in the struggle for survival. We present an empirical study of the strategy of 58 firms in Guadeloupe and discuss how the institutional environment is indeed critical for success. We show that managing the relationship with the central State and its regional components is greatly affected by top managers’ characteristics. In particular, their understanding of the institutional environment is a determinant of success. In conclusion we extend our findings and discuss some implications for the strategic management of firms in transition economies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".