Modeling the turnover intentions of Thai health-care personnel in pandemic times: moderating role of Covid-19 burnout.
Leadersh Health Serv (Bradf Engl)
; ahead-of-print(ahead-of-print)2022 04 05.
Article
in English
| MEDLINE | ID: covidwho-1909155
ABSTRACT
PURPOSE:
Covid-19 cases are rising at a high rate in Thailand. Thailand's administration has formulated many initiatives to combat the spread of coronavirus. However, during a pandemic, health-care workers have a diverse range of tasks that make it more challenging to continue working in hospitals. Consequently, the authors modeled the turnover intentions of health-care personnel to capture relevant psychological aspects of employees during the pandemic. Specifically, this study aims to focused on the moderating role of Covid-19 burnout (CBO) in the relationship between transformational leadership (TL) and job turnover intentions (JTI) with job satisfaction (JS) and knowledge hiding (KH) as mediators. DESIGN/METHODOLOGY/APPROACH:
This research collected data using self-administered questionnaire. A two-stage partial least square-structural equation modeling (PLS-SEM) is carried out as an analysis technique to measure the linear relationship among constructs. The study tests hypotheses (direct and indirect effects) using 310 sample size of health-care personnel.FINDINGS:
The findings indicated that CBO intensified the JTI of health-care personnel and strengthened the association of JS and KH with JTI during the Covid-19 pandemic. TL had a negative indirect effect on JTI. In addition, JS had a negative impact on JTI. ORIGINALITY/VALUE The study highlights the importance of TL and JS as ways to reduce or alleviate JTI in health-care personnel during the Covid-19 pandemic in Thailand. Furthermore, CBO and KH can enhance JTI in health-care personnel.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Burnout, Professional
/
COVID-19
Type of study:
Observational study
/
Randomized controlled trials
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal subject:
Health Services Research
Year:
2022
Document Type:
Article
Affiliation country:
LHS-11-2021-0090
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