Impact of Motivation on Productivity of Craftsmen in Construction Firms in Lagos, Nigeria
Bibliographic record
Abstract
Motivation has been identified as a useful tool for enhancing productivity. This study aims at determining the impact of motivation on productivity of craftsmen in construction firms in Lagos, Nigeria. Sixteen motivating factors were identified through literature review common to Nigeria construction climate which were used to design questionnaire for the study. A total of 295 questionnaires were administered with 150 filled and returned. This constitute response rate of 50.85%. Productivity rating was done by work study. The mean of motivating factors was correlated with percentage productive hour observed in the sixteen sites surveyed. The outcome indicates that there is positive linear relationship between motivation and productivity. Therefore, motivation influences craftsmen performance in Nigeria construction industry. Further analysis also shows that craftsmen are basically motivated by financial incentives. The paper recommends that financial incentive should be considered for craftsmen in the industry. Moreover, alternative method to working overtime should be employed. The paper concluded that motivation strategy that will enhance productivity should be adopted for workers in the industry.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".