The Effect of Low Morale and Motivation on Employees’ Productivity & Competitiveness in Jordanian Industrial Companies
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 current study aims to examine the effect of low morale and motivation on employees’ productivity and competitiveness. Low productivity and loss of competitiveness are outcomes of low morale and low motivation and may sometimes lead to further undesired symptoms such as absenteeism and sabotage. A questionnaire was designed to achieve the purpose of this purpose, and it was distributed to selected accounting and management employees working in different Jordanian business environments. The number of questionnaires analyzed were (276) questionnaires. Resolution data were analyzed using the statistical program Smart PLS (Partial Least Square). The study concluded that low morale and low motivation affect productivity and competitiveness, and it also recommends that management should work on increasing productivity by increasing employees’ satisfaction through re-engineering systems and processes and providing incentives, education and training.
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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 | 0.001 | 0.003 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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