Work

Predicting Employee Turnover: Scoping and Benchmarking the State-of-the-Art

Year: 2024

Type: article

Source: Business & Information Systems Engineering

DOI: 10.1007/s12599-024-00898-z

Authors: Simon De Vos, Christopher Bockel-Rickermann, Jente Van Belle, Wouter Verbeke

Institution: KU Leuven

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: closed

OpenAlex ID: W4403465252

FWCI: 7.664

Cites: 96

Cited by: 17

Related to: 10