The link between talent management, organizational commitment and turnover intention: A moderated mediation model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It has been suggested that talent management (TM) has a direct and significant relationship with a number of employee outcomes. This is while the number of studies examining the process of TM leading to these outcomes are limited. Therefore, the main purpose of this study is to present a new model for analyzing processes of TM and its linkage with several employee and organizational outcomes that are organizational commitment and turnover intentions. Additionally, the present paper involves a mediating factor (P-O fit) alongside a moderating variable that is, Organizational Culture. A sample of 510 employees were selected from different banks located in Amman, Jordan. Mediation and moderation models were tested through structural equation modeling (SEM). The findings, being in consensus with previous studies, showed that TM has a linkage with both TI and Organizational Commitment. Mediating effect of P-O fit was shown with both aforementioned variables. In addition, the moderation effect of organizational culture on the relationship between TM and TI was found. The study contributes to the literature of the topic by providing a fit model to explain the linkage of TM and a number of organizational and employee outcomes. Bank managers can benefit by being aware and implying TM practices within their firms to further develop company advancements and attending to their employees based on new HRM trends.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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 it