Change‐oriented organizational citizenship behavior: effects of work environment characteristics and intervening psychological processes
Bibliographic record
Abstract
Abstract Organizational citizenship behavior (OCB) has attracted major research effort for the last two decades. The vast majority of studies of OCB have been devoted to affiliative forms of such behavior including interpersonal helping, courtesy, and compliance, which are intended to maintain and reinforce the status quo. The present study attends to another form of OCB that challenges the status quo through suggestions for constructive changes in work methods, processes, and policies. This study identifies a set of workplace characteristics that predict change‐oriented OCB. Multi‐level analyses of large‐scale longitudinal data showed that strong vision and innovative climate predicted change‐oriented OCB via both individual‐ and cross‐level processes. These contextual influences were mediated by two intervening variables: psychological empowerment and felt responsibility for change. The results suggest that change‐oriented OCB is significantly predicted by only organizational characteristics. Group‐level dynamics may be less important for understanding challenging types of OCB than for affiliative types such as helping or compliance. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".