Sustainable Quality of Working Life in Multi-Occupational Cooperatives in Japan;
Bibliographic record
Abstract
This study examined the Quality of Working Life (QWL) among employees of a multi-occupational agricultural cooperative in Japan and identified predictors of Overall Satisfaction.A cross-sectional web survey was conducted with 317 valid respondents from JA Fukushima Mirai in 2025.QWL was measured using the Sustainable Quality of Working Life (S-QWL) scale, covering work-life balance, job match, and overall satisfaction.Analyses included correlations, ANOVA, and structural equation modeling (SEM).Results showed that work-life balance was strongly associated with both personal performance and work environment.Workplace communication and recognition were identified as key factors supporting flexibility in working hours and concentration on tasks, while perceptions of evaluation and pressure influenced goal alignment and work-life balance, which in turn affected performance.Occupational analyses revealed that satisfaction among clerical staff was linked to balancing work and private life, finance and insurance employees were influenced by goal alignment, balance, and motivation, while in agriculture, satisfaction was tied to communication with supervisors and appropriate rewards.These findings highlight communication, recognition, and temporal flexibility as central levers for improving QWL in organizations with diverse occupations.Despite limitations related to small subsamples in some job categories, this study contributes novel evidence on QWL in Japanese agricultural cooperatives and suggests the importance of broader comparative research to account for cultural and occupational contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".