The Effect of Talent Management on Organizational Effectiveness in Healthcare Sector
Bibliographic record
Abstract
This study aim is to investigate the direct effect of talent management on organizational effectiveness in the health care sector. The study population consisted of all working employees at all levels, from the medical and the managerial domains with a total of 3512 employees, a quantitative research design and regression analysis were used to a convenience sample on a total of 251 valid returns that were gained in a questionnaire based survey, applied among workers from Joint Commission International (JCI) accredited Jordanian private hospitals. The findings showed that there is a strong positive correlation between the study variables; talent management and organizational effectiveness; talent management with its dimensions; attract talent, maintain talent, and develop talent, have a significant effect on organizational effectiveness. In addition the organizational effectiveness dimensions, namely job satisfaction, and organizational involvement were positively and significantly related to each other. This study implies that Jordanian hospitals should try their best to adopt and facilitate talent management strategies implementation to keep its talented employees in nurture tone and more sustained, which will eventually yield favorable results for those hospitals in regard with its effectiveness.
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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 | 0.014 |
| 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 | 0.000 | 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".