Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/38514
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dc.contributor.authorعبد القادر لحمر-
dc.contributor.authorفريد مرحوم-
dc.contributor.authorبلقاسم مزيوة-
dc.date.accessioned2025-06-04T10:11:10Z-
dc.date.available2025-06-04T10:11:10Z-
dc.date.issued2025-06-01-
dc.identifier.issn2602-5183-
dc.identifier.urihttps://dspace.univ-ouargla.dz/jspui/handle/123456789/38514-
dc.descriptionJournal of Quantitative Economics Studiesen_US
dc.description.abstractThe study aims to examine work-family role conflict and its predictive factors among married working women at the University of Tebessa, using a descriptive analytical approach. Data was collected through a questionnaire that included a set of scales, administered to a stratified random sample of 188 married women distributed among: university professors, administrative staff, library employees, and professional workers. The results showed no statistically significant differences in the level of work-family role conflict across occupational categories. However, multiple linear regression analysis revealed that: work overload, family responsibilities, and long weekly working hours are the most important predictors of role conflict, collectively explaining 48.30% of the variance in work-family role conflict levels. Therefore, the study recommends the necessity of adopting policies that support work-family balance in university institutions by establishing childcare facilities near the workplace and implementing flexible work schedules to reduce psychological and professional pressure on married working womenen_US
dc.language.isootheren_US
dc.relation.ispartofseriesNumber 11 /2025;-
dc.subjectRole Conflicten_US
dc.subjectMarried Working Womenen_US
dc.subjectWork Overloaden_US
dc.subjectFamily Responsibilitiesen_US
dc.subjectAcademic Institutionsen_US
dc.titlePredictive Factors of Work-Family Role Conflict and Their Impact on Working Married Women at University of Tebessaen_US
dc.typeArticleen_US
Appears in Collections:Number 11 /2025

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