【报告主题】Human Capital Management Using Machine Learning:The Case of Employee Turnover
【主讲嘉宾】柯滨，新加坡国立大学，商学院会计学教授、教务长。
【报告时间】2023年5月23日 15:00
【报告地点】会计学院108室
【内容提要】Due to the rise of machine learning and big data, people analytics is expected to disrupt the human capital management profession. However, due to the proprietary nature of human capital management, there is little empirical research on the benefits and costs of adopting people analytics in practice. We contribute to this emerging literature by identifying the implementation challenges of advanced people analytics. To achieve this aim, we employ proprietary data and machine learning to build a prediction model of voluntary employee turnover for a firm. Our research aims to shed light on the following key questions in building and implementing people analytics models: (i) what is the value of employee characteristics data versus employee behavior data; (ii) are complex machine learning models more powerful than simple machine learning models; (iii) how robust are machine learning models in disruptive environments.