The Influence of Perceived Organizational Politics on Workplace Incivility Among Private and Public Employees in Ogun State, Nigeria
Bibliographic record
Abstract
This study examined the influence of perceived organizational politics on workplace incivility. A total of four hundred (400) participants ( M = 200: F = 200) were randomly selected from private and public organizations in Ogun State, Nigeria. A battery of psychological instruments was used in the collection of data for this study which include: Workplace Incivility Scale and Perception of Organizational Politics Scale. Descriptive statistical methods, Pearson’s product moment correlation and Independent Sample t-tests were used to analyse data in order to test the five hypotheses formulated. The findings show that perceived organizational politics had a significant influence on workplace incivility. This implies that, the lower the level of perception of organizational politics, the lower the report of incivility and vice versa ( t = 5.26, p <0.05). Furthermore, a significant positive relationship existed between perceived organizational politics and workplace incivility ( r = .331, p <0.05). It also revealed that there was a significant difference in the report of incivility among private and public employees. Employees from public organizations reported significantly higher workplace incivility. However, the result indicated that age and gender had no significant influence on workplace incivility. Based on these findings, management should put measures in place to minimize perceived organizational politics in order to reduce uncivil behaviour in workplace.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".