Linking workplace incivility to turnover outcomes in nursing

The paper examines the differential impact of various sources of WI on two forms of turnover intentions, prominent and relevant in the nursing work environment. In addition, we introduce two new moderators - OE and calling - that significantly influence the relationship between WI and turnover intentions.

Authors

Institutions

Publication Details

Journal
Journal of Health Organization and Management
Published
2025-02-05
DOI
https://doi.org/10.1108/jhom-06-2024-0246
Citations
2
Primary Topic
Job Satisfaction and Organizational Behavior
Type
article
Field-Weighted Citation Impact
5.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linking workplace incivility to turnover outcomes in nursing

Ifeyimika O. Ajaiyeoba, Matthew Aplin-Houtz
2 citations
Journal of Health Organization and Management
Job Satisfaction and Organizational Behavior
5.53
article

Linking workplace incivility to turnover outcomes in nursing

Ifeyimika O. Ajaiyeoba, Matthew Aplin-Houtz
article en
2 citations

Abstract

The paper examines the differential impact of various sources of WI on two forms of turnover intentions, prominent and relevant in the nursing work environment. In addition, we introduce two new moderators - OE and calling - that significantly influence the relationship between WI and turnover intentions.

Journal of Health Organization and ManagementVol. 39(6)
University of Wisconsin–Parkside (US), Brooklyn College (US)
Openalex Percentile: Top 6%
Job Satisfaction and Organizational Behavior
5.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.