Board Characteristics and Integrated Reporting Quality in Nigeria and South African Manufacturing Firms
Bibliographic record
Abstract
The effect of board characteristics on the quality of integrated reporting has raised concerns about governance effectiveness, transparency and stakeholder trust in emerging economies. This study, therefore, examined the effects of board characteristics on integrated reporting quality on listed manufacturing firms in Nigeria and South Africa. The study explored a purposive sampling technique to select 40 manufacturing firms in each country. The data for the study originates from the annual reports and accounts of the selected manufacturing firms from 2012 to 2023. The study utilized panel feasible generalized least squares regression in analyzing the data. The findings from the analysis reveal that board size, board meeting, board shareholding and board independence have significant effects on integrated reporting quality as it relates to the Nigerian manufacturing firms, while the same for South African manufacturing firms, except for board meetings. The study concludes that board attributes have a significant effect on the integrated reporting quality of manufacturing firms in both countries. The study recommends, among others, that both countries should strengthen the role of independent directors through better training and oversight to improve reporting outcomes.
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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 | 0.000 |
| 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".