GENDER, DIVERSITY AND INCLUSIVE LEADERSHIP AS DRIVERS IN ORGANISATIONAL PERFORMANCE: EVIDENCE FROM THE REGISTRARS GENERAL DEPARTMENT IN GHANA
Bibliographic record
Abstract
This study examines the influence of gender diversity and inclusive leadership on organizational performance within the Registrar General’s Department (RGD) in Ghana. Using a quantitative, cross-sectional survey design, data were collected from 132 employees through structured questionnaires. The findings reveal that while gender diversity alone has a positive but statistically insignificant effect on performance, inclusive leadership demonstrates a strong, significant positive impact. Furthermore, inclusive leadership negatively moderates the relationship between gender diversity and performance, suggesting that in highly inclusive environments, the independent contribution of gender diversity diminishes. The results underscore the critical role of inclusive leadership characterized by openness, fairness, and participative decision-making in enhancing organizational outcomes. The study concludes that for public sector institutions like the RGD, leadership development focused on inclusivity is more impactful than diversity initiatives alone in driving performance, offering important implications for policy and practice in Ghana’s public sector.
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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 | 0.001 | 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 | 0.002 | 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".