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IJSTR >> Volume 5 - Issue 12, December 2016 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Predicting The Exit Time Of Employees In An Organization Using Statistical Model

[Full Text]

 

AUTHOR(S)

Ahmed Al Kuwaiti, Vinoth Raman, Arun Vijay Subbarayalu, Palanivel R.M., Sivasankar Prabaharan

 

KEYWORDS

Additive Weibull Distribution, Employee, Exit, Organization, Shock model

 

ABSTRACT

Employees are considered as an asset to any organization and each organization provide a better and flexible working environment to retain its best and resourceful workforce. As such, continuous efforts are being taken to avoid or extend the exit/withdrawal of employees from the organization. Human resource managers are facing a challenge to predict the exit time of employees and there is no precise model existing at present in the literature. This study has been conducted to predict the probability of exit of an employee in an organization using appropriate statistical model. Accordingly, authors designed a model using Additive Weibull distribution to predict the expected exit time of employee in an organization. In addition, a Shock model approach is also executed to check how well the Additive Weibull distribution suits in an organization. The analytical results showed that when the inter-arrival time increases, the expected time for the employees to exit also increases. This study concluded that Additive Weibull distribution can be considered as an alternative in the place of Shock model approach to predict the exit time of employee in an organization.

 

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