Workplace flexibility and its relationship with work-interferes-with-family
Bibliographic record
Abstract
Purpose Drawing from the workplace flexibility and coping literatures, the purpose of this paper is to re-conceptualize the workplace flexibility construct as a coping resource that may help prevent work-interferes-with-family (WIF) from arising and/or assist employees manage such interference when it has occurred. A measure capturing this re-conceptualized view of flexibility is developed and tested using two samples of dual-income employees with dependent care demands. Design/methodology/approach In Study 1, the authors use LISERL to develop and test a new multi-dimensional measure of workplace flexibility ( n 1 =6,659). In Study 2 ( n 2 =947), the authors use partial least squares, a component-based structural equation modeling technique, to test a model that posits workplace flexibility that helps employees cope with WIF. Findings This research provides support for the idea that workplace flexibility helps employees cope with WIF by: preventing interference (i.e. negatively moderating the relationship between work hours and WIF), and managing interference that has occurred (i.e. negatively moderating relationship between WIF and perceived stress). Originality/value This study highlights the complexity of the relationship between workplace flexibility and work-to-family interference and offers guidelines on how employers and employees can use the workplace flexibility measure developed in this study.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".