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How Do the Work-Life Practices Affect Work-Family Conflict? The Differential Roles of Work Stress

2014· article· en· W2313118868 on OpenAlexaff
Yu Zhou, Meng Xu, Ying Hong

Bibliographic record

VenueAcademy of Management Proceedings · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWork (physics)Work–family conflictWork–life balanceAffect (linguistics)Social psychologyFlexibility (engineering)PsychologyRole conflictFamily lifeBalance (ability)Occupational stressSociologyManagementEngineeringSocioeconomics

Abstract

fetched live from OpenAlex

This paper investigates the relationship between employees' perceived work-life balance practices and their work-family conflict, and to examine the role of challenge stress and hindrance stress as moderators. Based on survey data of 841 civil servants in Beijing, we found that of the two dimensions of perceived work-life balance practices, work flexibility practices was negatively related to work-family conflict, while employee and family care practices did not show a significant relationship with work-family conflict. In addition, both challenge and hindrance work stress were positively related to work-family conflict. However, challenge and hindrance stresses differentially moderated the relationship between perceived work-life practices and work-family conflict: challenge stress enhanced the effect of perceived work-life balance practices in reducing work-family conflict, while hindrance stress weakened the effect of perceived work-life balance practices in diminishing work-family conflict. This provides additional insight into the management of work-family interface and offers ideas for future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.305
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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