The Role of Work/Life Balance and Motivational Drivers of Employee Engagement on the Relationship between Talent Management and Organization Performance: A Developing Country Perspective
Bibliographic record
Abstract
The purpose of this paper is to explore the relationship between talent management, work life balance, motivational drivers of employee engagement and organization performance in telecommunication and information technology sector in Jordan. Both work life balance and motivational drivers of employee engagement were examined as mediators between talent management and organization performance. The population of the study consists of the three main telecommunication operators in Jordan; Zain, Orange and Umniah with a total number of employees (3305), a random sample appointed from the population with a total 250 questionnaires filled up. The study found a positive relationship between talent management and its three dimensions, namely talent attraction, talent development and talent retention with organization performance. Results also found a positive relationship between talent management and its three dimensions with work life balance. A positive relationship also found between talent management and its dimensions with motivational drivers of employee engagement. Finally, work life balance found to partially mediating the relationship between talent management and organization performance and motivational drivers of employee engagement fully mediating this relationship between talent management and organization performance. This study stated many recommendations for future researches. 
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".