The role of error risk taking and perceived organizational innovation climate in the relationship between perceived psychological safety and innovative work behavior: A moderated mediation model
Bibliographic record
Abstract
To better understand how to motivate innovative work behavior (IWB) at the individual level in organizations, we investigate the link between perceived psychological safety and IWB and the role of error risk taking and perceived organizational innovation climate in this study. In particular, we hypothesize a moderated mediation model in which (a) perceived psychological safety is positively related to IWB, (b) error risk taking mediates the positive relationship between perceived psychological safety and IWB, and (c) perceived organizational innovation climate strengthens the positive link between error risk taking and IWB and the mediated link between perceived psychological safety and IWB via error risk taking. We tested the hypothesized model using data collected from 315 full-time employees working at six information and communication technology companies in a high-technology business district of Egypt. The findings largely support our hypotheses. We conclude by discussing the theoretical and practical implications.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".