How Employees’ Loyalty Programs Impact Organizational Performance within Jordanian Banks?
Bibliographic record
Abstract
This study aimed at examining the factors that influence and impact employees’ performance levels within Jordanian Banks. This study is based on quantitative research to test the research hypotheses and reveal the important factors that impact loyalty programs. A convenient sample of 377 employees was selected to represent the population which includes all employees working in the banking sector in Jordan. Based on previous studies and literature, a framework was developed to test the loyalty factors against organization performance. Loyalty factors involve employees’ satisfaction, financial rewards, motivation, performance appraisal, employees’ training and development, employees’ empowerment, internal communication, and work environment. Organizational performance indicators include sales, market share, profit, demand, decision making efficiency, and customers’ satisfaction level. Results of the study revealed that only six factors have significant relationships between loyalty levels and employees' performance. These include financial rewards, employees’ satisfaction, motivation, performance appraisal, internal communication, and employees’ training and development. Financial rewards that involve salaries, bonuses, and commission are the most important factor.
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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 | 0.002 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".