Correlates of career priority and family priority among hospital-based nursing staff
Notice bibliographique
Résumé
Purpose – This study explored the relationship of measures of career priority and family priority with a number of other variables including personal demographics, work situation characteristics, work motivations, work outcomes and indicators of extra-work outcomes such as affluence and psychological well-being. The paper aims to discuss these issues. Design/methodology/approach – Data were collected from 290 nursing staff, the vast majority female, working in Ontario, Canada, using anonymously completed questionnaires. Findings – Career priority and family priority were significantly and positively correlated in this sample. Nursing staff also rated family priority significantly higher than career priority. Personal demographics were associated with levels of both career priority and family priority such that married nursing staff, nursing staff with children, and nursing staff working part time reported lower levels of career priority, while married nurses and nursing staff having children rated family priority higher. Nursing staff having higher levels of work motivation also rated career priority higher. Career priority was significantly correlated with several work outcomes. Nursing staff indicating a higher career priority were more satisfied and engaged in their jobs. Somewhat surprisingly, family priority was generally unrelated to these work and well-being outcomes. Research limitations/implications – Recent writing on women in organizations has raised the question of can women “have it all”, a successful and demanding career and a satisfying home and family life. The findings contribute to this debate. Practical implications – Suggestions for both women and organizations to facilitate career and family facilitation are offered. Social implications – Increasing interest has been shown in women in the workplace, and whether they should “lean in” to advance their careers. The authors suggest that this strategy may be at odds with what women, and men, increasingly want. Originality/value – The paper highlights differences in the antecedents and consequences of career priority and family priority in a predominately female sample bringing work and family issues into the forefront once again.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».