Recruitment and Selection Practices in Small and Medium Enterprises: Perspectives from Ghana
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
Effective recruitment and selection practices are key factors to the entry point of human resources in any organization and they also tend to determine the success and sustainability of SMEs. This present study sought to identify the skills and competences required of graduates by SMEs, and the graduates selection and recruitment practices of SMEs. A questionnaire survey was chosen as the most appropriate design for this investigation, with purposive sampling being used to select respondents ranged from company top management. The data was analysed using SPSS. The results suggest that a majority of SMEs do recruit graduates but do not retain them beyond three years. Respondents identified information technology as the most important skill they require of graduates; followed by numerical skills, written communication skills, oral communication skills, confidence and self discipline. The findings will enhance a realistic recruitment and selection interface between graduate jobseekers and SME recruiters in Ghana.
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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 | 0.002 |
| 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