Corporate governance practices and banks’ performance: does the moderating role of foreign representation matter?
Bibliographic record
Abstract
Purpose One of the mechanisms to make better bank management rests on improved corporate governance practices with diverse backgrounds including foreign representation. However, bank performance remains poor. The purpose of this study is to investigate whether foreign directors have moderating effects on the influence of board characteristics on the performance of banks in the Nigerian context. Design/methodology/approach The quantitative explanatory design of this study was based on a cross-sectional survey of respondents (executive and non-executive directors including independent directors) of the population of 285 bank directors in 26 Nigerian banks. Findings Using a sample of 121 respondents, the structural equation modelling results reveal that foreign nationality had a positive moderating effect on the influence of each board independence and audit committee on banks’ performance. However, foreign nationality negatively moderated the effect of board size and nomination committees on banks’ performance. In addition, foreign directors’ membership on boards positively moderates the relationship between remuneration committees and banks’ performance. Research limitations/implications The findings of this study extend our understanding of the strategic composition of the board in Nigerian banks. The findings are useful in encouraging business corporations to further strengthen their corporate governance practices. Also, foreign board members’ effectiveness is case-sensitive and committee-dependent. Originality/value Banks desirous of having foreign directors need to ensure that, they have the necessary capacity and fit into the local environment as well as engage foreign directors in tailored integration programmes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".