Enhancing job satisfaction through work–family enrichment and perceived supervisor support: the case of Australian social workers
Bibliographic record
Abstract
Purpose Drawing on the conservation of resources theory and social exchange theory, this study aims to examine the underlying relationships linking work-to-family enrichment (WFE) and family-to-work enrichment (FWE) to perceived supervisor support and ultimately, job satisfaction among social workers. Design/methodology/approach Data were collected from members of a social work professional body (n = 439) through an internet-based questionnaire and analysed using confirmatory factor analysis and structural equation modelling. Findings Perceived supervisor support mediated the relationships between work–family enrichment (specifically, WFE-Development, WFE-Affect and FWE-Efficiency) and job satisfaction. Research limitations/implications Social workers who worked in a positive work environment that uplifts their moods and attitudes (WFE-Affect), have access to intellectual and personal development (WFE-Development) and felt supported by their supervisors reported higher levels of job satisfaction. Those who possessed enrichment resources were found to be more efficient (FWE-Efficiency) also perceived their supervisors to be supportive and experienced higher job satisfaction. Future studies should consider other professional groups and incorporate a longitudinal design. Practical implications Promoting work–family enrichment among social workers can contribute to positive work outcomes such as perceived supervisor support and job satisfaction. HR practitioners, supervisors and organisations can promote work–family enrichment among social workers through introduction of family-friendly policies (e.g. flexitime, compressed workweek schedules) and providing a supportive work–family friendly environment for social workers. Originality/value Although several work–family studies have linked work–family enrichment to job satisfaction, the present study shows how each dimension of WFE and FWE affects social workers' job 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".