Behavioral dominance of leaders: Performance impact study in listed companies FTSE100 in London
Bibliographic record
Abstract
The main objective of this research is to study the impact of the behavioral dominance of executives in listed companies regarding financial performance. Empirical tests were conducted on panel data from companies belonging to the FTSE 100 in London. To address this research issue, we analyzed the link between governance and the stock market in the first section. Then, based on financial theories we formulated a set of hypotheses related to the influence of compensation, the size of the board of directors, the presence of women and the independence of the board of directors on performance. The results of the empirical tests indicate that the importance of compensation had a positive effect on performance. Conversely, the empirical tests show that the size of the Board of Directors and the duality of function had negative effects on performance. Finally, the results of the tests on the behavioral dominance of executives are depending on the characteristics of the board’s directors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".