Does leader‐member exchange ambivalence hinder employee well‐being? Exploring relations with work engagement and emotional exhaustion
Bibliographic record
Abstract
Recent research has introduced the concept of leader-member exchange (LMX) ambivalence and has shown that it can be detrimental to employee task performance. Drawing on self-determination theory and models of LMX development, this research investigates whether LMX ambivalence may also negatively influence employee well-being. In a two-wave field study with 278 employees in a large police organisation, we found that LMX ambivalence was significantly associated with two focal measures of work-related well-being: work engagement and emotional exhaustion, through its influence on psychological need fulfilment. Perceived positive meaning in work was found to buffer the negative effects of LMX ambivalence on psychological need fulfilment and well-being. Overall, these results contribute to the occupational health literature by demonstrating that psychological need fulfilment helps explain why LMX ambivalence negatively affects work related well-being outcomes and underscores the important role of positive meaning in work as a buffer for these relationships.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".