CLASSIFICATION OF EMPLOYEE TURNOVER INTENTION USING HIERARCHICAL CLUSTER ANALYSIS: A CASE STUDY FROM INDIAN PHARMACEUTICAL COMPANIES

被引：0

作者：

Devi, R. Lakshmi ^{[1
]}

Amalraj, R. ^{[2
]}

Devi, S. Prasanna ^{[3
]}

机构：

[1] Mother Theresa Women Univ, Kodaikanal, Tamil Nadu, India

[2] Sri Vasavi Coll, Dept Comp Sci, Erode, Tamil Nadu, India

[3] Apollo Engn Coll, Dept Comp Sci & Engn, Madras, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES AND RESEARCH | 2013年 / 4卷 / 12期

关键词：

Employee turnover; clustering of questionnaire data; classification of push-pull factors;

D O I：

10.13040/IJPSR.0975-8232.4(12).4704-07

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

The 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.

引用

页码：4710 / 4713

页数：4