CLASSIFICATION OF EMPLOYEE TURNOVER INTENTION USING HIERARCHICAL CLUSTER ANALYSIS: A CASE STUDY FROM INDIAN PHARMACEUTICAL COMPANIES
AbstractThe aim of this paper is to study the employee turnover ratio in an Indian pharmaceutical company in India. Primary data were collected from 50 employees of two pharmaceutical companies using questionnaire methods. The questionnaire data was grouped to produce a concise representation of the human resource turnover retention using hierarchical clustering (HC) technique. The results of HC have grouped the numerical questionnaire data into two groups named as push and pull factors. It is observed that the mean of the pull factors was higher owing to higher turnover intention of the employees. Hence, it is recommended to the organization to include these factors to be part of the organization business strategy rather than being left to HR managers to act in order to reduce the employee exits from the organization
Article Information
33
4704-4707
359KB
1607
English
IJPSR
R. Lakshmi Devi*, R. Amalraj and S. Prasanna Devi
Mother Theresa Women University, Kodaikanal, Tamil Nadu, India
prasannasiva11@gmail.com
05 May, 2013
10 October, 2013
25 November, 2013
http://dx.doi.org/10.13040/IJPSR.0975-8232.4(12).4704-07
01 December 2013
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