Modeling the Influence of Group Norms and Self-regulatory Efficacy on Workplace Deviant Behaviour
Bibliographic record
Abstract
This study investigated the influence of group norms and self-regulatory efficacy on workplace deviant behaviour. A web-based survey was used to collect data from 217 teaching staff from various higher education institutions in Nigeria. The data collected was analysed using Partial Least Squares (PLS) path modeling. As predicted, the path coefficient results supported the direct influence of perceived injunctive norms and self-regulatory efficacy on organisational deviance. Similarly, perceived injunctive norm and self-regulatory efficacy were found to be significant predictors of interpersonal deviance. On the contrary, perceived descriptive norms were not significant predictors of both organisational deviance and interpersonal deviance. In addition, self-regulatory efficacy does not moderate the relationship between perceived descriptive norms and organisational deviance. We also found support for the moderating role of self-regulatory efficacy on the relationship between perceived injunctive norms and dimensions of workplace deviance. The moderating role of self-regulatory efficacy on the relationship between perceived descriptive norms and interpersonal deviance was also supported. Finally, the policy implications of the study are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".