An Investigation of the Antecedents of Organizational Citizenship Behaviour: Case of Saudi Arabia
Bibliographic record
Abstract
Organizational Citizenship Behaviour (OCB) has been signified as one of the antecedents of organizationaleffectiveness. OCB is widely studied over the years in the US but has received relatively inadequate attention inother Asian contexts. This study explored and examined number of predictors of OCB in the Arabic-speakingcontext (Saudi Arabia in Gulf). The data was drawn from 275 employees of both private and public bankingsectors. Predictors of OCB examined are Job Satisfaction and Organizational Commitment, Role Perceptions,Fairness Perceptions, Leadership Behavior, Individual Dispositions, Motivation and Feedback. The results foundsupport the hypotheses stating the positive relationship between the predictors of OCB and organizationalcitizenship behaviour except motivation that found no relationship with OCB. Implications for future researchare discussed.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".