TY  - JOUR
T1  - A Study on Measuring the Relationship Between Stress Indicators and Work Life Balance among Women Employees of it Companies in Chennai City Using Multiple Regression
AU - Sathyapriya, J. AU - Subhamathi, V. AU - Krishnapriya, V. 
JO  - International Business Management
VL  - 9
IS  - 6
SP  - 1237
EP  - 1242
PY  - 2015
DA  - 2001/08/19
SN  - 1993-5250
DO  - ibm.2015.1237.1242
UR  - https://makhillpublications.co/view-article.php?doi=ibm.2015.1237.1242
KW  - IT sector
KW  -organizational stress
KW  -software companies
KW  -stress related diseases
KW  -stress indicators
KW  -work life balance
KW  -women employees
AB  - The analysis indicates that the majority of women employees belong to the age group of 26-30 years and more than one third of the women employees are BE(IT) graduates who are working as software developers. The results show that about two-third of women employees belong to the monthly income group of Rs. 25001-30000 and the majority of women employees are married and about more than one-third of women employees have the total experience of 2-4 years followed by <2 years (29.33%), 4-6 years (25.00%) and >6 years (6.67%). The results indicates about 58.66% of women employees are facing high level of organisational stress followed by very high (21.67%) and medium level (19.67%) and there is a significant difference between the organisational stress levels among the women employees in IT sector. The ANOVA test to examine the difference between stress indicators among the women employees in IT sector, The F-value of 75.474 is statically significant at 1% level indicating that there is a significant difference between stress indicators among the women employees in IT sector. The multiple regression analysis show that the apathy, depression, sleeplessness, disharmony with colleagues, confusing, excessive grooming and shivering are statistically significant at 1% of level and these indicators are positively influencing the work life balance of women employees. The recurrent minor illnesses, excessive use of alcohol or other substances, avoidance of meeting people and blinking are also statistically significant at 5% of level and these indicators also are positively influencing the work life balance of women employees.
ER  -