To examine the relationship between work-life imbalance and burnout in the context of human resource management.
To explore the impact of burnout on employee attrition rates within organizations.
To investigate the potential role of artificial intelligence (AI) in predicting and preventing burnout and attrition in the workplace.
Conduct a literature review on the concepts of work-life balance, burnout, and attrition in relation to human resource management.
Collect and analyze data on employee burnout levels, work-life balance perceptions, and attrition rates within a selected organization.
Evaluate the effectiveness of AI tools in identifying early signs of burnout and predicting attrition among employees.
Develop recommendations for HR practitioners on how to mitigate work-life imbalance, prevent burnout, and reduce attrition rates using AI technology.
