Bibliographic record
Abstract
Purpose This paper aims to examine the effect of self-reflection on employee creativity in China. The authors identify individual intellectual capital (IIC) as a mediator and concerns for face as a moderator for this relationship. Design/methodology/approach A sample of 351 dyads of full-time employees and their immediate supervisors from various Chinese companies were surveyed. Regression analysis and structural equation modeling were used to test the research model. Findings Three dimensions of self-reflection significantly affect IIC and subsequently lead to employee creativity; IIC mediates the relationship between three dimensions of self-reflection and employee creativity; concern for face negatively moderates the effect of IIC on employee creativity. Practical implications Managers can facilitate employees’ creativity by motivating them to conduct self-reflection and develop IIC, and by nurturing a safe atmosphere that allows individuals to take risks without losing face. Originality/value This is one of the first empirical studies to investigate the mediating effects of IIC and the moderating effects of concerns for face on the relationship between self-reflection and creativity.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".