The effects of life-satisfaction and self-efficacy on job embeddedness among veterinary nursing

With the increasing specialization and expansion of animal hospitals, veterinary nurses have become key personnel influencing both clinical practice and management.This study examined the relationships among life satisfaction, self-efficacy, and job embeddedness in veterinary nurses.A survey was conducted with 99 participants using validated instruments to measure general characteristics, life satisfaction, self-efficacy, and job embeddedness.Reliability was high, with Cronbach's α values exceeding 0.90 for all variables.The mean scores indicated moderate to above-average levels (life satisfaction: 3.14±0.83,self-efficacy: 3.52±0.78,job embeddedness: 3.30±0.79).Goal attainment was the highest subfactor of self-efficacy, and organizational fit was the highest of job embeddedness, whereas organizational welfare and outlook were relatively low.Life satisfaction showed significant positive correlations with both self-efficacy and job embeddedness, and self-efficacy was also positively correlated with job embeddedness.Notably, life satisfaction had the strongest association with job embeddedness.These findings suggest that enhancing life satisfaction and self-efficacy is essential to improving job embeddedness among veterinary nurses.Organizational efforts should focus on welfare improvement, career development, education, and psychological support.

Authors

Institutions

Publication Details

Journal
Korean Journal of Veterinary Service
Published
2026-06-29
DOI
https://doi.org/10.7853/kjvs.2026.49.2.193
Primary Topic
Veterinary Practice and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effects of life-satisfaction and self-efficacy on job embeddedness among veterinary nursing

Hyang-Mee Kim, Chung-Hui Kim
Korean Journal of Veterinary Service
Veterinary Practice and Education Studies
article

The effects of life-satisfaction and self-efficacy on job embeddedness among veterinary nursing

Hyang-Mee Kim, Chung-Hui Kim
article en

Abstract

With the increasing specialization and expansion of animal hospitals, veterinary nurses have become key personnel influencing both clinical practice and management.This study examined the relationships among life satisfaction, self-efficacy, and job embeddedness in veterinary nurses.A survey was conducted with 99 participants using validated instruments to measure general characteristics, life satisfaction, self-efficacy, and job embeddedness.Reliability was high, with Cronbach's α values exceeding 0.90 for all variables.The mean scores indicated moderate to above-average levels (life satisfaction: 3.14±0.83,self-efficacy: 3.52±0.78,job embeddedness: 3.30±0.79).Goal attainment was the highest subfactor of self-efficacy, and organizational fit was the highest of job embeddedness, whereas organizational welfare and outlook were relatively low.Life satisfaction showed significant positive correlations with both self-efficacy and job embeddedness, and self-efficacy was also positively correlated with job embeddedness.Notably, life satisfaction had the strongest association with job embeddedness.These findings suggest that enhancing life satisfaction and self-efficacy is essential to improving job embeddedness among veterinary nurses.Organizational efforts should focus on welfare improvement, career development, education, and psychological support.

Korean Journal of Veterinary ServiceVol. 49(2)
Gyeongsang National University (KR)
Decent work and economic growth
Openalex Percentile: Top 6%
Veterinary Practice and Education Studies
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.