Employee’s attrition prediction using survival analysis and cox proportional hazard model

In any industry attrition is a big problem, whether it is about employee attrition of an organization or customer attrition of an e-commerce site. If we can accurately predict that which customer or employee can leave their current company/organization/website etc. then it will save lot of time, ef...

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Bibliographic Details
Main Author: Krishna Kumar Mohbey
Format: Article
Language:English
Published: Andalas University 2019-09-01
Series:JITCE (Journal of Information Technology and Computer Engineering)
Subjects:
Online Access:http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/36
Description
Summary:In any industry attrition is a big problem, whether it is about employee attrition of an organization or customer attrition of an e-commerce site. If we can accurately predict that which customer or employee can leave their current company/organization/website etc. then it will save lot of time, effort and cost of the employer and help them to hire/acquire workforce/customers in advance and it would not create problem in ongoing progress of an organization. In this paper, a robust statistical model has been proposed, which will help us in identifying behavior of employees who can attired over the coming time. The proposed predict model uses survival analysis and cox proportional hazard model for employee attrition prediction.
ISSN:2599-1663