Do career satisfaction and support mediate the effects of justice on organizational citizenship behaviour and counterproductive work behaviour?
Bibliographic record
Abstract
Abstract Following Lavelle, Rupp, and Brockner's ( ) target similarity framework, we propose that perceptions of support and career satisfaction mediate the influence of justice perceptions on citizenship and counterproductive performance. Structural equation modelling results from 356 employees supporting partial mediation. Collectively, the model explained 19% of the variance in perceptions of organizational support, 44% in perceived supervisor support, 33% in career satisfaction, 35% in citizenship performance directed toward the supervisor, 42% in citizenship performance directed toward the organization, 49% in job/task conscientiousness citizenship performance, 9% in counterproductive performance toward the supervisor, and 20% of the variance in counterproductive performance directed toward the organization. We argue that distributive, procedural, informational, and interpersonal dimensions of organizational justice follow different pathways and variously influence organizational outcomes. We discuss the implications of the results for the target similarity framework and more generally for human resources management. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".