Job satisfaction and turnover decision of employees in the Internet sector in the US

This paper proposes that high value on the work-life balance, compensation, career opportunity and fitness of culture management style would improve job satisfaction. A turnover risk prediction model based random forest is constructed to understand feature identify risk. Using a sample 17,724 online reviews employees from Glassdoor, positive effect antecedents, satisfaction variable as mediator, unemployment rate moderator verified. Finally, identified most important for predicting algorithm.