A Conceptualization of the Effect of Organisational Justice on Turnover Intention: The Mediating Role of Organisational Citizenship Behaviour
Bibliographic record
Abstract
Considering employees are the ultimate valuable assets, most companies nowadays give lots of effort and capitalise vital resources to preserve them. The turnover of those employees will affect the achievement of the organisations’ goals as well as the maintaining of the competitive advantage. Therefore, it is imperative to call for more studies to understand the factors affecting this phenomenon in different settings and contexts of research, particularly in the non-western perspectives such as Malaysia who is facing big challenges toward the employees’ turnover in many sectors. Therefore, the drive of this paper is to examine the relationship between organisational justice (OJ), organisational citizenship behaviour (OCB) (benefiting the individual OCB-I and benefiting the organisation OCB-O) and turnover intention (TI). Consequently, this study proposed framework to study the effect of organisational justice on turnover intention via the mediation role of organisational citizenship behaviour (OCB-I, OCB-O). Also, the direct impact between the variables has been discussed. Hence this paper is expected to fill the research gap and contribute to the body of knowledge in this area of 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 | 0.002 | 0.004 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".