How work self-efficacy can prevent work interference with family from thwarting creative behavior
Bibliographic record
Abstract
This study adds to extant management research by addressing hitherto unexplored but highly relevant questions related to how and when employees’ experience of work interference with family translates into a reduced propensity to develop new ideas for organizational improvement, with a particular focus on the mediating role of their intentions to leave and the moderating role of their work self-efficacy in this chain of effects. On the basis of quantitative survey data collected among employees who work in the pharmaceutical retail sector, the empirical findings show that a critical conduit, through which frustrations that work demands spill over into the family sphere lead to dampened creative work efforts, is that employees develop quitting intentions. Yet this explanatory role is less powerful when employees feel confident about their work-related competencies. Notably and somewhat paradoxically, employees’ experience of incompatible work and family demands steers them away from creative work efforts that otherwise could reveal novel solutions. This counterproductive dynamic can be mitigated if employees have greater trust in their own work skills.
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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 | 0.010 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".