Work-to-family conflict and firm performance of women entrepreneurs: Roles of work-related emotional exhaustion and competitive hostility
Bibliographic record
Abstract
When entrepreneurs suffer from work-to-family conflict, it can affect firm performance. This article considers how emotional exhaustion experienced in the course of running a business mediates this link and how beliefs about competitive hostility invigorate that effect. Using survey data collected from 200 women entrepreneurs in Ethiopia, a country marked by culturally traditional gender role expectations, the empirical findings show that a sense of being emotionally overextended, due to the demands of running a firm, creates a conduit for the negative interference of the family upon the firm. This escalates into diminished firm performance. The results also demonstrate that this conduit is particularly prominent when entrepreneurs feel more threatened by hostile market environments. For entrepreneurship scholarship and practice, this article establishes two notable factors; a feeling of being ‘worn out’ by the business and adverse competitive markets. These factors clarify the complex link between work-induced family strain and business performance for women entrepreneurs, who might be particularly challenged when balancing time demands in gender-discriminatory environments.
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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 | 0.004 |
| 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 | 0.000 |
| 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".