Subordinate Organizational Citizenship Behavior Trajectories and Well-Being: The Mediating Roles of Perceived Supervisor Consideration and Initiating Structure
Bibliographic record
Abstract
Although there are numerous benefits associated with organizational citizenship behaviors (OCBs), recent research has shown that they can have both benefits and costs for the well-being of employees engaging in these behaviors. Thus, it is crucial to understand how and why OCBs can have positive and negative impacts on well-being in order to mitigate unintended consequences associated with these otherwise positive behaviors. Drawing on social exchange and conservation of resources theories, we argue that change in OCBs that subordinates direct toward their supervisors correspond with changes in supervisor consideration and initiating structure behaviors, as rated by subordinates. In turn, subordinate perceptions of supervisor behaviors have important implications for subordinate well-being (i.e. job satisfaction, life satisfaction, and emotional exhaustion). Using a longitudinal design and a sample of 205 students, we found that supervisor consideration and initiating structure in response to receiving OCBs from subordinates explains the benefits and costs that arise from engaging in OCBs over time.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".