Forced to be a good citizen: Exploring the bright‐ and dark‐side effects of daily compulsory citizenship behaviours on subsequent proactive helping and interpersonal deviance
Bibliographic record
Abstract
Abstract Compulsory citizenship behaviour (CCB) refers to extra‐role behaviours that are not necessarily voluntary or driven by goodwill, and are often conducted under duress or performed in response to supervisor or coworker pressure. The literature is currently unclear about whether these behaviours have negative, positive, or a nuanced combination of outcomes. We address this confusion by drawing on Conservation of Resources Theory to explain employees' daily depletion and organization‐based self‐esteem (OBSE) mechanisms that capture respective costs and benefits of daily CCB. We also explain how employees' extraversion and leader–member exchange (LMX) are critical boundary conditions of these effects. Using an experience sampling method, we collected data twice per day from 186 full‐time employees across 10 working days, yielding 1551 valid daily responses. The results of multilevel path analyses showed that: (a) daily CCB had a positive indirect effect on next‐day interpersonal deviance via increased ego depletion, with extraversion buffering this positive indirect effect; and (b) daily CCB had a positive indirect effect on next‐day proactive helping via increased OBSE, with LMX strengthening this positive indirect effect. These results suggest that employees' daily CCB has both costs (i.e., resource depletion) and benefits (i.e., positive self‐focused beliefs).
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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 | 0.001 |
| 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) | 0.000 | 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; 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".