The Impact of Leadership Style Adopted by the Manager in the Nigeria Beverage Sector on Human Resource Motivation: A Field Study in the South-Western Nigeria
Bibliographic record
Abstract
This study aims first to identify the leadership style which is used the most by the managers in the Nigeria beverage sector, second investigate the factors that influence motivation of employees working in the sector, and third to examine the impact of two leadership styles (Transformational, and Transactional leaders) on human resource motivation. The study population was totality of employees in the Beverage Companies (BCs) located within Lagos State, South-Western Nigeria. Three hundred and fifty questionnaires were distributed, three hundred and ten questionnaires were analyzed. Data were analyzed using descriptive and inferential statistics at 0.05 significance level with the aid of SPSS statistical program version 21.0 for windows. The results revealed that managers in beverage companies are using the transformational leadership style most; employees in beverage companies are motivated most by job satisfaction. The findings of the multiple regression indicated that transformational leadership style had highest impact on human resource motivation. Based on the findings transformational leardership style is encouraged to be used by the management of beverage companies and other large organizations in Nigeria if they want to be successful and productive.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".