Impact of abusive supervision on deviant work behavior: The role of Islamic work ethic
Bibliographic record
Abstract
Abstract In this article, we examined the relationship between abusive supervision and deviant workplace behavior and the moderating role of an Islamic Work Ethic. Three hundred and thirty‐six employees in different organizations (specializing in software development, medicine, law enforcement, telecommunication, pharmaceutics, and banking) across Pakistan completed our questionnaire. The results revealed that abusive supervision was positively related to deviant workplace behavior. Moreover, the moderation of an Islamic Work Ethic on the relationship between abusive supervision and deviant work behavior was confirmed. The study contributed in many ways. It expanded literature by revealing a weaker relationship between abusive supervision and deviant behavior when Islamic Work Ethic (IWE) was high. It also tested the conservation of resources theory by providing a plausible reasoning of the role of IWE in employee motivation. By integrating IWE as a resource in the workplace, practitioners would learn that the proper use of resources would produce satisfied workers who would not indulge in deviant workplace behaviors.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".