Turnover intention predictors among social workers in China

Abstract

The purpose of this study was to examine factors that best predict turnover among social workers in nonprofit organizations in Guangzhou, Guangdong Province of China. A sample of 312 social workers was selected to complete a self‐administered anonymous survey in 2014. A multiple logistical regression model was used to explain the different factors that influence social workers’ intention to leave their current jobs. The findings showed that age, education, perceived working condition, the perceived prospect of the social work profession, and social support predict turnover intention among social workers.

Social Support, Mindfulness, and Job Burnout of Social Workers in China

“…In recent decades, a lot of studies have discussed the stress, burnout, and turnover rate of helping professions ( Lloyd et al, 2002 ; Pang et al, 2010 ; Yang et al, 2017 ; Jiang et al, 2019 ; Wang et al, 2021 ). Empirical research has shown that social workers may experience occupational stress, job burnout, and turnover intention ( Soderfeldt et al, 1995 ; He, 2015 ; Lin and Deng, 2019 ; Zeng et al, 2019 ; Hu, 2021 ). However, despite the rapid development of the current social work industry, social workers in China still face a high turnover rate and job burnout ( Jiang and Wang, 2016 ; Wang et al, 2019 ).…”

Baseline Survey of China Social Work Longitudinal Study 2019: Design and Implementation

“…The optional section of social work intervention was surveyed in cities in the Yangtze River Delta, considering that region is where social work education programs and social work agencies overlap the most, which provides the environment for the development of evidence-based practice. The optional section of social work turnover intention was surveyed in selective cities in the inner part of China because current empirical studies have only been conducted in coastal cities or large cities such as Beijing and Shanghai (Lin & Deng, 2019; Wang et al, 2020). The agency questionnaire aims to reflect finance and performance information that is vital to convey organization efficiency, accountability, and effectiveness (Saxton et al, 2014) while providing information that reflects the governmental and market environment where social work agencies conduct their mission (Ni & Zhan, 2017).…”