Bingying Shi
Biographic Data
| ID | 6026405 |
|---|---|
| NAME | Bingying Shi |
| GIVEN NAMES | Bingying |
| FAMILY NAME | Shi |
| SIGNATURE | SHI B |
| AFFILIATIONS | North China Electric Power University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
For money or identity—or both? Which could promote the retention of social workers in China
Low pay and the absence of professional identity (PI) are often blamed as major antecedents related to the turnover of social workers in China, yet no study has provided any consideration of the two antecedents together in predicting the turnover intention (TI) of social workers and comparing them, which acts as a more powerful predictor. Based on a sample of 819 participants and by using structural equation models, the current study indicated wh…
For money or identity—or both? Which could promote the retention of social workers in China
Low pay and the absence of professional identity (PI) are often blamed as major antecedents related to the turnover of social workers in China, yet no study has provided any consideration of the two antecedents together in predicting the turnover intention (TI) of social workers and comparing them, which acts as a more powerful predictor. Based on a sample of 819 participants and by using structural equation models, the current study indicated wh…
For money or identity—or both? Which could promote the retention of social workers in China
Low pay and the absence of professional identity (PI) are often blamed as major antecedents related to the turnover of social workers in China, yet no study has provided any consideration of the two antecedents together in predicting the turnover intention (TI) of social workers and comparing them, which acts as a more powerful predictor. Based on a sample of 819 participants and by using structural equation models, the current study indicated wh…
Business (1 work) · China (1 work) · Demographic economics (1 work) · Economic growth (1 work) · Economics (1 work) · Employment and Welfare Studies (1 work) · Government (linguistics) (1 work) · Homelessness and Social Issues (1 work) · Identity (music) (1 work) · Job satisfaction (1 work)