AI Based Employee Attrition Prediction Tool
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 14078 LNAI, Page: 580-588
2023
- 2Citations
- 10Captures
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Conference Paper Description
Employee attrition is one of the key issues for every organization these days, because of its adverse effects on workplace productivity and achieving organizational goals. Employee attrition means not just the loss of an employee, but also leads to the loss of customers from the organization. This in turn results in more attrition among employees due to lesser workplace satisfaction. Hence it is important for every organization to understand how to attract potential employees, retain existing employees and predict attrition early to reduce significant loss of productivity among hiring managers, recruiters, and eventual loss of revenue. High employee attrition shows a failure of organizational effectiveness in terms of retaining qualified employees. To predict attrition among employees, we propose an AI-based solution as a SaaS, because of less investment of time, effort, and cost for the companies. We will be collecting the data from various sources like HRMS, Employee Pulse Surveys, Yammer, etc. as input to our model. We intend to utilize AI/ML models like Decision Tree, SVM, Random Forest, NLP. Our model will be trained to estimate attrition risk among employees in real-time with about 95% accuracy rate.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85164920934&origin=inward; http://dx.doi.org/10.1007/978-3-031-36402-0_54; https://link.springer.com/10.1007/978-3-031-36402-0_54; https://dx.doi.org/10.1007/978-3-031-36402-0_54; https://link.springer.com/chapter/10.1007/978-3-031-36402-0_54
Springer Science and Business Media LLC
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