Evidence map›Paper›PMID 37800114›Full record

ArticleRisk management and healthcare policy2023

How Nurses' Person-Organization Fit Influences Organizational Loyalty.

Miaomiao Sun, Fahad Alam, Cunxiao Ma

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Miaomiao SunSchool of Ethnology and Historiography, Ningxia University, Yinchuan, People's Republic of China.
Fahad AlamSchool of Economics and Management, University of Science and Technology Beijing, Beijing, People's Republic of China.ORCID 0000-0002-8162-6843
Cunxiao MaSchool of Marxism, Shandong Yingcai University, Jinan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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: 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: 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: 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.

Indexed as

organizational loyaltyorganizational supportperson-organization fitrole ambiguityservice quality

Identifiers

PMID37800114
PMCPMC10547909

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.