Junqi Huang
Biographic Data
| ID | 8956091 |
|---|---|
| NAME | Junqi Huang |
| GIVEN NAMES | Junqi |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG J |
| AFFILIATIONS | Department of Social Work, School of Social Development East China Normal University Shanghai China |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Why do they leave? Identifying drivers of turnover intention among Chinese social workers with machine learning approach
The rising concern over social worker turnover underscores the need to identify its determinants in order to promote occupational stability. In recent years, machine learning techniques have emerged as powerful tools for predicting individual risk behaviors and uncovering the underlying drivers of workforce attrition. This study applied and compared three widely used machine learning algorithms, namely Random Forest, Light Gradient Boosting Machi…
No prominent works on this page.
Why do they leave? Identifying drivers of turnover intention among Chinese social workers with machine learning approach
The rising concern over social worker turnover underscores the need to identify its determinants in order to promote occupational stability. In recent years, machine learning techniques have emerged as powerful tools for predicting individual risk behaviors and uncovering the underlying drivers of workforce attrition. This study applied and compared three widely used machine learning algorithms, namely Random Forest, Light Gradient Boosting Machi…
AI and HR Technologies (1 work) · Apprenticeship (1 work) · Gradient boosting (1 work) · Marital status (1 work) · Mental Health via Writing (1 work) · Salary (1 work) · Social learning (1 work) · Social Work Education and Practice (1 work) · Support vector machine (1 work) · Turnover (1 work)