An Empirical Study of the Motivational Factors of Employees in Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objective of this research is to draw attention to the importance of certain factors in motivating employees in Nigeria. Specifically, the study sought to describe the ranked importance of the following seven motivating factors: (a) job security, (b) personal loyalty to employees, (c) interesting work, (d) good working conditions, (e) good wages, (f) promotions and growth in the organization, and (g) full appreciation of work done. The 15 companies selected from Oyo, Kwara, Osun and Ogun States of Nigeria are mid-sized companies that involved in Educational Consultancy, Hotel and Catering Services, Transportation services, Retail services and Manufacturing. Data were collected through a well-structured questionnaire delivered to the employees of the companies. Findings of the study suggest that good working condition, interesting work, and good pay are key factors to higher employee motivation. Purposefully designed reward systems that include job enlargement, job enrichment, promotions, internal and external stipends, monetary, and non-monetary compensation should be considered. This will help the employer identify, recruit, employ, train, and retain a productive workforce.
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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 it