Work-Family Conflict and Family Satisfaction: Evidence From Small Enterprise Managers
Bibliographic record
Abstract
The adult person is involved in managing family responsibilities and maintaining work activities on a daily basis. This creates conflict between work and family with implications for family satisfaction. Nonetheless, small-scale enterprises managers’ level of resilience could alter these implications. The objective of the study is to examine the effect of work-family conflicts on family satisfaction, by moderating the role of resilience. A cross-sectional design was applied to a sample of 293 managers. ANOVA results reveal that work-family conflict and family-work conflict are positive and significantly related but each has a significant negative relationship with family satisfaction. However, resilience positively and significantly moderates each of the effects of work-family and family-work conflicts on family satisfaction. Thus, increasing levels of the conflicts come with increasing levels of resilience to overcome work-family conflicts. This is the first study in Ghana to show that resilience has a significant role in mitigating the difficulties of work-family conflicts. It is recommended that policy-makers bring in resilience training interventions to reduce role conflicts and increase family satisfaction.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".