How Nurses' Person-Organization Fit Influences Organizational Loyalty.

organizational loyalty organizational support person-organization fit role ambiguity service quality

Journal

Risk management and healthcare policy
ISSN: 1179-1594
Titre abrégé: Risk Manag Healthc Policy
Pays: England
ID NLM: 101566264

Informations de publication

Date de publication:
2023
Historique:
received: 06 07 2023
accepted: 17 09 2023
medline: 6 10 2023
pubmed: 6 10 2023
entrez: 6 10 2023
Statut: epublish

Résumé

High turnover rates among nurses are a global concern due to the shortage of skilled professionals and increasing demand for high-quality healthcare. This study aims to enhance understanding of organizational fit by examining the impact of Person-organization fit (P-O fit) on organizational loyalty through the mediating role of organizational support and service quality, and the moderating impact of role ambiguity. Using a convenience sampling technique, we employed a survey methodology by developing a questionnaire. Data were collected from a sample of 614 nurses in five different healthcare sectors in China. Employing SmartPLS 3.3, we conducted a Structural Equation Modeling (SEM) analysis to examine the relationships among the specified variables. The findings of the structural analysis suggest that the P-O fit influences organizational loyalty in the healthcare sector. Organizational support and service quality were identified as partial mediators of the P-O fit-organizational loyalty link. Additionally, the role of ambiguity represented a negative moderating impact between service quality and organizational loyalty. Overall, the study's findings extend the understanding of person-organization fit, organizational support, service quality, role ambiguity, and organizational loyalty in the context of healthcare sectors and offer implications for medical authorities. Discussions, limitations, practical implications, and suggestions for further research are also provided.

Sections du résumé

Background UNASSIGNED
High turnover rates among nurses are a global concern due to the shortage of skilled professionals and increasing demand for high-quality healthcare. This study aims to enhance understanding of organizational fit by examining the impact of Person-organization fit (P-O fit) on organizational loyalty through the mediating role of organizational support and service quality, and the moderating impact of role ambiguity.
Methods UNASSIGNED
Using a convenience sampling technique, we employed a survey methodology by developing a questionnaire. Data were collected from a sample of 614 nurses in five different healthcare sectors in China. Employing SmartPLS 3.3, we conducted a Structural Equation Modeling (SEM) analysis to examine the relationships among the specified variables.
Results UNASSIGNED
The findings of the structural analysis suggest that the P-O fit influences organizational loyalty in the healthcare sector. Organizational support and service quality were identified as partial mediators of the P-O fit-organizational loyalty link. Additionally, the role of ambiguity represented a negative moderating impact between service quality and organizational loyalty.
Discussion UNASSIGNED
Overall, the study's findings extend the understanding of person-organization fit, organizational support, service quality, role ambiguity, and organizational loyalty in the context of healthcare sectors and offer implications for medical authorities. Discussions, limitations, practical implications, and suggestions for further research are also provided.

Identifiants

pubmed: 37800114
doi: 10.2147/RMHP.S425025
pii: 425025
pmc: PMC10547909
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2019-2036

Informations de copyright

© 2023 Sun et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Miaomiao Sun (M)

School of Ethnology and Historiography, Ningxia University, Yinchuan, People's Republic of China.
The Party School of the CPC, Ningxia Hui Autonomous Region Party Committee, Ningxia Administration Institute, Yinchuan, People's Republic of China.

Fahad Alam (F)

School of Economics and Management, University of Science and Technology Beijing, Beijing, People's Republic of China.

Cunxiao Ma (C)

School of Marxism, Shandong Yingcai University, Jinan, People's Republic of China.

Classifications MeSH