Effects of Downsizing on Employee Performance of Selected Manufacturing Firms in Anambra State, Nigeria
Bibliographic record
Abstract
The study examines the effects of downsizing and employee performance in selected manufacturing firms in Anambra state, Nigeria. The study seeks to: ascertain the extent of relationship that exists between job insecurity and absenteeism in selected manufacturing firms. Examine the extent of relationship that exists between staff redundancy and employee turnover in selected manufacturing firms. The sources of data collection were primary and secondary sources. Structured questionnaire and interview were used to elicit vital information from the respondent. The data were analyzed using descriptive statistics such as mean, simple percentage and standard deviation while the hypotheses were tested using simple regression. The major findings revealed a positive and statistically significant relationship between job insecurity on absenteeism in the studied manufacturing firms. There is a positive and statistically significant relationship between staff redundancy and employee turnover in the studied manufacturing firms. The study therefore concluded that increase in global competitiveness, together with advances in technology and ongoing changes in the environment, requires organizations to continuously adapt and be willing to change their structures, strategies, methods and practices to remain competitive.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".