Determinants of job satisfaction in the banking sector: the case of Lebanese managers
Bibliographic record
Abstract
Purpose The aim of this study is to fill a gap in the literature on job satisfaction in the Middle East, reflecting on the experience of women managers from Lebanon. Design/methodology/approach A survey questionnaire was designed and administered to a sample of women managers in the banking sector. The survey covered several aspects including objective, subjective, and overall job satisfaction. Findings Overall, the findings revealed that the respondents were satisfied with the subjective aspects of their careers, but not the objective ones. Work‐related factors seemed to better explain the job satisfaction of women managers in the banking industry in Lebanon when compared to individual personal factors. Originality/value Given the limited research on job satisfaction in the Middle East and the importance of job satisfaction on performance and retention, this study adds to the little that is known about the effect of individual and work‐related factors on job satisfaction of employees in the Arab Middle Eastern region. The implications of this study can be of great importance for public policy initiatives, practitioners and academic scholars.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".