Title: Modelling attrition to know why your employees leave or stay

Authors: Sachin Deshmukh; Seema Sant; Neerja Kashive

Addresses: Vivekanand Education Society Institute of Management Studies, Research University of Mumbai, 495-497, Hashu Advani Memorial Complex, Collectors Colony, Chembur, Mumbai – 400074, Maharashtra, India ' Vivekanand Education Society Institute of Management Studies, Research University of Mumbai, 495-497, Hashu Advani Memorial Complex, Collectors Colony, Chembur, Mumbai – 400074, Maharashtra, India ' Vivekanand Education Society Institute of Management Studies, Research University of Mumbai, 495-497, Hashu Advani Memorial Complex, Collectors Colony, Chembur, Mumbai – 400074, Maharashtra, India

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.

Keywords: attrition; predictive model; logistic regression.

DOI: 10.1504/IJDMMM.2021.118018

International Journal of Data Mining, Modelling and Management, 2021 Vol.13 No.3, pp.231 - 253

Received: 15 Oct 2019
Accepted: 17 Mar 2020
Published online: 08 Oct 2021 *

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