AI Integrated Human Resource Management for Smart Decision in an Organization

Employees are viewed as an asset that leads to an organization’s growth. As competition grows in the market, the attrition of employees increases. Consequently, employee attrition can be a major problem for businesses, particularly when there is mobility or movement of technically skilled employees, in search of better opportunity. This results in financial loss for a company or organization. Therefore, in this chapter, advantage of machine learning algorithm is presented to predict the behavior of current employees’ employees. In this research, Long Short-Term Memory (LSTM) algorithm and fuzzy rules are used to analyzes attrition actions of workers by forecasting a shortage of qualified employees by department and sending out a warning message about recruiting new employees or distributing the workload among existing employees. This template also ensures that incentive and promotion decisions are made without bias, assisting the organization’s growth indirectly.