BOARD COMPOSITION OF INNOVATIVE FIRMS: A PORTRAIT AND GEOGRAPHICAL COMPARISON
Bibliographic record
Abstract
The board of directors is the highest internal governance body and is not only in charge of aligning the interests of shareholders and managers, but also of shaping the strategy of its organization. Thus, directors can potentially have an impact on many aspects, including their firm's performance. However, up until now, the empirical evidences on this subject mainly focus on organizational outcomes such as financial performance and rely on specific geographical contexts like the USA. These facts highlight the relevance of the present study to analyse innovation performance and to be based on an international sample. The aim of this research is twofold: documenting the composition of the board of directors of the most innovative companies in the world and making a geographical comparison between them. This approach allowed us to make several observations and recommendations, particularly regarding the profile of the directors, which can be of great use for companies wishing to innovate and enriches both the literature in corporate governance and innovation.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".