Tacking into the Wind: How Women Entrepreneurs can Sail Through Family-to-Work Conflict to Ensure their Firms’ Entrepreneurial Orientation
Bibliographic record
Abstract
Abstract When women entrepreneurs experience family-to-work conflict, it may discourage them from adopting an entrepreneurial orientation, an effect mediated by work-related emotional exhaustion and moderated by both family-to-work enrichment and family support at home. According to survey data collected among women entrepreneurs in Ghana, negative interferences of family with work can steer women entrepreneurs away from adopting an entrepreneurial orientation for their company, largely because they feel emotionally overextended by their work. However, enrichment of their work, attained through family involvement, can buffer this detrimental effect. The buffering role of family-to-work enrichment in turn is particularly effective when women entrepreneurs receive help on household tasks from other family members. This study accordingly identifies a key mechanism by which family-induced work strain can hamper bold strategic actions by women entrepreneurs—because they feel emotionally drained at work—and details when this mechanism is less prominent, namely, in the presence of relevant family resources.
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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 | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".