High-involvement practices and performance of French firms
Bibliographic record
Abstract
This article deals with the relationship between human resource practices (HRPs) and firm performances in France. It focuses on four specific HRPs that are able to involve employees: empowerment, compensation, communication and training. Each HRP taken in isolation is supposed to be positively related to performances because it is a source of motivation and commitment for employees. But there also exists a synergy between these practices: when they are combined into a bundle and are implemented all together, they should lead to better firm performances. A survey carried out among 180 human resource managers of large French companies leads to validation of most of our hypotheses. Contrary to previous research, we do not find a significant link between compensation and firm performance. The other HRPs are all indirectly related to financial performances, with social performance playing a mediating role. When they are combined into a bundle, HRPs have a stronger impact on performance than when they are studied individually. The article concludes with the importance of developing a strategic human resource policy and of implementing coherent and complementary high-involvement practices to increase firm performance.
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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 | 0.003 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".