The Effect of Leader-Member Exchange “LMX” on Employee Turnover Intent: An Applied Study on the Telecommunication Sector in Egypt
Why this work is in the frame
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Bibliographic record
Abstract
The paper examines whether the Leader-member exchange (LMX) theory has an effect on the employee turnover intent in the presence of intercultural competence. Our sample consists of 319 employees working in the telecommunications sector in Egypt. The dependent variable is employee turnover and the independent variable is LMX, where LMX as a variable is measured by four components: affect, loyalty, contribution and professional respect. We used intercultural competence as the moderating variable. Intercultural competence is measured by nine components: cross cultural empathy, self-efficacy, willingness to engage, cross cultural openness, emotional self-regulation, self-monitoring, tolerance for ambiguity, low need for cognitive and cognitive flexibility. We used Cronbach’s alpha, path analysis and path regressions in our statistical analysis. Our results showed a significant positive relationship between LMX and employee turnover intent and an indirect relationship between LMX and employee turnover intent in the presence of intercultural competence.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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