Effect of Board Size, Board Composition and Board Meetings on Financial Performance of Listed Consumer Goods in Nigeria
Bibliographic record
Abstract
The central thrust of this study is to examine the effect of board size, board composition and board Meetings on the financial performance of listed consumer goods in Nigeria over the period of ten years from 2006 to 2015. The study uses expo factor research design and purposive sampling technique (filter) as research design and sampling technique. The population of the study is twenty (20) listed consumer goods companies in Nigeria and a sample size of ten (10) companies were studied. The data was analysed by means of descriptive statistics, Correlation and Regression analysis using STATA (version 11). The descriptive result reveals that return on assets has minimum and maximum values of -0.0400 and 0.4700 respectively and the mean and standard deviation of 0.1199 and 0.1038 respectively. The study made use of secondary data generated from annual report and account of the sampled companies through Nigeria Stock Exchange fact book. The findings include the following: Board size is negatively significant at 1% with T. Value of _2.70, Board composition is positively significant at 1% with T- Value of 2.15 and finally, Board meeting is negatively insignificant with T- Value of _1.45. This study concluded that smaller board size are more effective than larger board size, good proportion of board composition is a good factor to enhance ROA of listed consumer goods companies in Nigeria and frequent board meeting will have negative effect on the ROA of listed consumer goods companies in Nigeria because it will limits the chances for external directors to conduct a meaningful oversight over management. Hence the study recommends among others; That smaller board size should be used in listed consumer goods companies in Nigeria to enhance their ROA, the listed consumer goods companies should continue to maintain good proportion of independence directors. The listed consumer goods companies in Nigeria should discourage unnecessary board meetings to allow board of directors perform other oversight function on the management so as to enhance the ROA of listed consumer goods companies in Nigeria.
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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 | 0.001 |
| 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 | 0.001 |
| 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".