The cynical subordinate: exploring organizational cynicism, LMX, and loyalty
Bibliographic record
Abstract
Purpose Adopting a social exchange framework, this article examines the relationship between organizational cynicism and leader–member exchange (LMX) using two different methodologies. Design/methodology/approach Study 1 utilizes a longitudinal panel design ( N = 291) to examine the reciprocal relationships between organizational cynicism and LMX over time. Study 2 ( N = 348) positions loyalty as a possible mechanism through which organizational cynicism might impair LMX. Findings Study 1 provides evidence for the existence of some reciprocity in the relationships between organizational cynicism and LMX; however, organizational cynicism appears to be a stronger predictor of LMX than the obverse. The results of Study 2 suggest that cynical employees are less loyal to their supervisors, and this cynicism can interfere with the reciprocity process inherent in the creation and maintenance of high-quality social exchanges at work. Originality/value This is the first study to examine the relations between organizational cynicism and LMX in a longitudinal design. Additionally, the inclusion of loyalty and demonstration that organizational cynicism impacts loyalty to supervisors negatively represents a novel direction in organizational cynicism research.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".