Happy at home, successful in competition: the beneficial role of happiness and entrepreneurial orientation for women entrepreneurs
Bibliographic record
Abstract
Purpose This study aims to investigate the mediating effect of entrepreneurial orientation on the relationship between women entrepreneurs' experience of family-induced work happiness and the competitive performance of their companies, as well as the invigorating role of their perceptions of environmental hostility in this process. Design/methodology/approach Survey data were collected among a nationwide sample of women entrepreneurs in Denmark. Findings The spillover of positive emotions from family to work can spur competitive performance if women entrepreneurs adopt an entrepreneurial strategic posture. This intermediate role of entrepreneurial orientation is particularly prominent among women entrepreneurs who experience their market environments as highly threatening to their success. Practical implications For practitioners, this study identifies a key mechanism, an entrepreneurial strategic direction, by which positive work energy stemming from family involvement can enhance women entrepreneurs' business success. The study also shows how this mechanism is triggered by resource-draining competitive markets that appear hostile instead of benign. Originality/value The adoption of an entrepreneurial posture is an unexplored but critical factor through which women entrepreneurs' sense of happiness at work, caused by their family involvement, can be leveraged into enhanced success at the organizational level. This study also explicates how this beneficial role is invigorated by beliefs about environmental hostility, as a critical external source of resource depletion.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".