Does Board of Director’s Characteristics Affect Firm Performance? Evidence from Malaysian Public Listed Companies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this study is to answer the question: “do board characteristics affect firm performance?” There are six board of directors’ characteristics being studied, including managerial ownership, board size, board independence, CEO duality, gender diversity and ethnic diversity. Return on Equity (ROE) is used as a measurement for firm financial performance. There are 300 Malaysian public listed companies being randomly selected from each sector. The results show that board size and ethnic diversity have positive relationship with ROE while board independence has negative relationship. There is no significant relationship between managerial ownership, CEO duality and gender diversity on firm performance. The findings may provide some implications for future research regarding the effectiveness of board of directors towards firm performance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it