The Moderating Effect of Board Diversity on the Relationship between Executive Committee Characteristics and Firm Performance in Oman: Empirical Study
Bibliographic record
Abstract
This study focuses to achieve an important objective by examining the moderating effect of board diversity (foreign member on the executive committee and executive committee commitment) on the relationship between executive committee characteristics and firm performance in Omani companies excluding those categorized under the financial sector. The sampling covers two years, 2011 and 2012. This study used multiple regression and hierarchical multiple regression to analyze the association between independent, moderating and dependent variables. Based on the findings, a positive association between executive committee independence, executive committee meeting and firm performance is revealed although it is not significant. In the same context, the finding revealed a negative relationship between executive committee size and firm performance but not significant. Moreover, the board diversity moderated the relationship between executive committee characteristics and firm performance but the effect is not significant. Finally, this study offers recommendations for future researchers at the end.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".