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Management of Stress among Employees in BPO using Clustering Algorithm

K. Tamizharasi, Dr. R. Uma Rani


Business process outsourcing, the most flourishing Indian industry sector has emerged as India‟s most promising sector, and has been growing at a rate of 40-50 per cent since its inception. BPO is a very fast paced and a high momentum industry. BPO industry is expected to generate two million jobs by the year 2012. Taking advantage form the abundant skills and low cost benefits, large numbers of BPO companies have mushroomed in India in recent years, many of the well established IT companies have also started their BPO divisions. But, there is another side of the BPO picture too. The side that has already brought the BPO industry in limelight many times. This study is concerned with the non viability of the BPO and the fact that the young generation of India is actually losing out in the BPO.
In statistics and data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results into a partitioning of the data space into Voronoi cells. This paper analysis the BPO employees working culture. We use k-means clustering algorithm for analysis the selected dataset.


Stress, K-Means Algorithm, Clustering, Work Culture, Call Centers.

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