Modelling attrition to know why your employees leave or stay
by Sachin Deshmukh; Seema Sant; Neerja Kashive
International Journal of Data Mining, Modelling and Management (IJDMMM), Vol. 13, No. 3, 2021

Abstract: Today's environmental factors influence every aspect of business, be it marketing, finance, operations or human resource. Talent shortage has become a global issue for organisations. One of the major challenges faced by any organisation is the increase in the level of employee attrition. The current study has tried to build a predictive model by using logistic regression and understand the specific factors that lead to attrition. This paper also attempts to compare factors responsible for attrition in two time periods, first period from 1996 to 2008 (Holtom's model) and second period from 2009 to 2016 to find whether any changes have taken place in employees' expectations, which, if not fulfilled, may lead to attrition. An analysis of an IT organisation's data reveal that factors responsible for attrition in the second period have changed, compared to the first period.

Online publication date: Fri, 08-Oct-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining, Modelling and Management (IJDMMM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com