Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 33, Pages: 1-7
Fabian Andrew James* , R. Manimalar and S. Sudha
Vels University, Pallavaram, Chennai - 600117, Tamil Nadu, India; [email protected]
*Author for correspondence
Fabian Andrew James
Objectives: The article uses a sample of 200 employees from the BPO industry in Chennai to find the impact of non-standard work schedules on the family life of employees comparing the employees based on their age, gender, Years married, Years in non-nonstandard schedule and Hierarchy. Method: Lickert scale analysis is used to collect data from the respondents and questions pertaining to demographic variables and non-standard schedule were queried to get information. The data collected for family life were based on questions pertaining to family responsibilities, marital life and growth of children. T-test and one way-Anova are the Statistical tools that are used for the analyses. Findings: The Findings suggest that the effect of non-standard schedules on demographic variables differed with age, gender, years married, years in nonstandard schedule and hierarchy. The effect of non-standard schedule on the family life differed significantly among the different groups. The effect was found to be more in the age groups of 46-55 years and above 55 years. The effect was more in the age groups of 46-55 years and above 55 years as the mean value is 85.4 and 76 respectively. The tests showed a significant difference between male and female as there was a significant mean difference of 7.1. The effect was more in the group where in the individuals were married for more than 7 Years and married for less than 1 year. There was no significant difference on the effect of non-standard schedule among the employee’s years in non-standard schedule and hierarchy however there was slight differences among the different groups. Application/Improvements: The study enables organizations to understand the problems faced by the employee of BPO working in the non-standard schedules. The study is an insight for the employers to know the effect of non-standard schedules across the different category of employees based on their age, gender, marital years, years in non-standard schedule and position. This study would in turn guide the organizations to bring about measures that could prevent the problems occurring due to shift work.
Keywords: Children Growth, Family Life, Married Life, Night Shift, Non-Standard Schedules, Shift Work
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