Work-Life Balance Constructs and Job Satisfaction: Evidence from the Palestinian Investment Sector
Bibliographic record
Abstract
With the continuous evolution of globalization and the increasing technological openness between all countries worldwide, employees’ awareness about the quality of life and balance between work and life matters has constantly been escalating. Although a tremendous body of literature internationally exists on Work-Life Balance and Job Satisfaction, yet previous scholars across the Palestinian context have not connectedly addressed these terms. Both Work-Life Balance and Job satisfaction matters have been recently getting more focus than expected due to the fast-forwarding life cycles and the continuous obnoxious and inferior political and economic situation that faces every person, family, society, and company in Palestine, which have a significant influence on the productivity and performance of both the Palestinian organizations and employees. The focus of this study is on the measurement of work-life balance and job satisfaction of employees and the exploration of the relationship between both terms at different Palestinian companies in the investment sector while exploring the critical working issues and personal life matters among employees with further examination on how the concept of WLB might affect job satisfaction. This study's key contribution is to highlight this relationship among the Palestinian organizations and thus be further addressed and considered across all Palestine and in other developing countries with similar political and economic threats, especially after having this relationship positively correlated by the current research results. The study was conducted on 502 employees from 7 different investment companies in Palestine. The statistical tests that were processed and the interference relationships tested confirmed a positive relationship between the three constructs of Work-Life Balance and Job Satisfaction.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".