The Work–Home Interface: An Integration of Perspectives
Notice bibliographique
Résumé
Abstract Work–family research has become a central area of research within organizational psychology and management. Since its inception around 1970, work–family research has seen tremendous growth, parallel to the increase in employees combining paid work with caregiving responsibilities. Fifty years later, a new trend is visible with an increase in single-person households and employees having a variety of other roles in addition to work beyond just family, suggesting that the relevance of the work–home interface will continue to grow. To understand how work and nonwork domains collide and interact with each other, various concepts have been introduced, including work–family conflict, work–family interference, work–family spillover, work–family expansion, work–family enrichment, work–family enhancement, work–family facilitation, work–family depletion, and work–life balance. Whereas conflict, interference, expansion, and balance all describe outcomes of combining two roles simultaneously, spillover, depletion, enhancement, facilitation, and enrichment describe a process whereby one domain affects outcomes in another domain. With the goal of increasing concept clarity, work–family concepts can be organized by categorizing them per their valence and perspective. Valence divides work–family constructs into those that consider positive versus negative outcomes of combining dual roles. Perspective differentiates between combination constructs that examine the joint effects of multiple roles versus process constructs that clarify how one domain affects outcomes in another domain. This typology clarifies what research question a specific work–family construct answers. For instance, if a researcher is interested in examining how often employees experience family (work) interfering with work (family), a combination construct is most fitting. If a researcher is interested in how work (family) can undermine or contribute to family (work) performance, a process construct is more suitable. By pinpointing the differences between work–family constructs, the framework can help determine which theoretical model is most suitable to explain a work–family phenomenon and how it can be measured best. The gained concept clarity fosters the design of empirical research that addresses novel research questions related to a diverse workforce that might occupy a variety of roles beyond work and family.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».