impact of stress in software industry
TRANSCRIPT
Impact of Stress in Software Industry
Author: Co-author:Mr.N.Mohan,M.B.A.,MHRM.,M.Phil.,(ph.d)Sr.Lecturer,Dept of M.B.A., Paavai Engg college, Pachal,Namakkal-18.Mobile:
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ABSTRACT
Stress is a dynamic condition in which an individual is confronted with an
opportunity, constraint, or demand related to what he or she desires and for
which the outcome is perceived to be both uncertain and important. This is a
complicated definition. Let’s look at its components more closely with the
comparison of software industry. It focus on the stress level of the employees in
software industry.
INTRODUCTION
Stress is not necessarily bad in and of itself. While stress is typically
discussed in a negative context, it also has a positive value. It is an opportunity
when it offers potential gain.
More typically, stress is associated with constraints and demands. The
former prevent you from doing what you desire. The latter refers to the loss of
some thing desired. So when you take a test at school or you undergo your
annual performance review at work, you feel stress because you confront
opportunities, constraints, and demands.
OBJECTIVES OF STUDY
The following are some of the objectives of the study
1. To study and understand stress level among the IT professionals
2. To find out differences in stress levels if any between respondents
belonging to various age groups, income level, Work experience
and number of dependent groups.
3. To find out the relationship if any, between stress and variables
like age, income, work experience and number of dependents.
4. To identify the methods of reducing stress at the individual and
organisation level.
RESEARCH METHODOLOGY
Data Collection
Convenient sample of 200 is taken among the IT professionals in
Erode, Salem and Coimbatore districts. This type of convenience sampling is
adopted because of time constraint
The data collected through the questionnaires are analyzed at first using
percentage method. The collected data is arranged into tables
The statistical tool chi-square test is used to understand the significance
difference between the age group and stress score, income and stress score,
work experience and stress score, and number of dependents of IT professionals
and stress score.
ANALYSIS AND INTERPRETATION
Table - 1
Showing the respondents opinion about work stress
S.No
Statement
Response
All the Times
OftenSome times
Never
No % No % No % No %
1 I’m exhausted by daily demands at
work
1 2 1 2 43 86 5 1
0
2 My stress caused by outside
forces beyond my control
0 0 5 10 37 74 8 1
6
3 I’m trapped by circumstances that I
just have to live with
3 6 3 6 37 74 7 1
4
4 No matter how hard I work to stay
on top of my schedule. I can’t get
caught up.
4 8 4 8 31 62 11 2
2
5 I have financial obligations I can’t
seem to meet
0 0 5 10 21 42 24 4
8
Source: Primary data
Inference
From the above table it is inferred that, eighty six percent of the
respondents sometimes feel that they are exhausted by daily demands at work.
Table 2
Showing differences in Work stress in various Income groups
S.No Income Stress Score
TOTAL21 - 30 31 - 40 41 - 50 51 - 60
1 Below 3,500 1 5 1 - 7
2 3501 – 7500 1 18 7 2 28
3 7501 –
11500
1 10 1 - 12
4 Above 11500 1 2 - - 3
TOTAL 4 35 9 2 50
Source : Primary data
Df = ( r- 1) ( c -1)
= (4 – 1) (4 – 1)
= 9.
0.05 level of significance
X2 = 16.919
5.9477 < 16.919
Calculated value is 5.94
Table value for Df at 0.05 level of significance is 16.919
Inference
The calculated value in less than the table value. So it is concluded that
there is no significant difference in the stress level between respondents
belonging to various income group.
Table 3
Showing differences in Work stress in various work experience group
S. NoWork
Experience Groups
Stress ScoreTOTAL
21 - 30 31 - 40 41 - 50 51 - 60
1 Below 3 2 10 7 2 21
2 4 – 7 1 21 - - 22
3 8 – 11 - 3 1 - 4
4 Above 11 1 2 - - 3
TOTAL 4 36 8 2 50
Source : Primary data
Df = ( r- 1) ( c -1)
= (4 – 1) (4 – 1)
= 9.
0.05 level of significance
X2 = 16.919
11.882 < 16.919
Calculated value is 11.882
Table value for Df at 0.05 level of significance is 16.919
Inference
The calculate value is less than the table value. So it can be concluded
that there no significance difference in the stress level between respondents
belonging to various work experience groups.
Table 4
Showing Relation Between Work Stress and Work Experience
Group
S No.Work
Experience
Stress ScoreTOTAL
21 – 30 31 - 40 41 - 50 51 - 60
1 Below 3 2 10 7 2 21
2 4 – 7 1 21 - - 22
3 8 – 11 - 3 1 - 4
4 Above 11 1 2 - - 3
TOTAL 4 36 8 2 50
Nfdxdy - fdx.fdyr = ----------------------------------------------------------
Nfdx2 – (fdx)2 . Nfdy2 – (fdy)2
50 x 43 – (-42).(-61)= --------------------------------------------------
(50x54 – 1764) . (50x109 – 3721)
2150 – 2562= ---------------------
(936) (1729)
- 412= -----------
1272
= - 0.32
There is no significant relation between work experience and stress.
FINDINGS
The following are the finding of the present study
Sixty two percent of the respondents sometimes feel that no matter how
hard they work to stay on top of their schedule they cant get caught up
There is no significant difference in the stress level between respondents
belonging to various income level groups.
There is no significant difference in the stress level between respondents
belonging to various work experience group.
There is no significant difference in the stress level between respondents
belonging to various number of dependents groups.
SUGGESTIONS
It is mainly suggest to spend their leisure time in yoga.
It is advisable to keep a consultant to share almost everything with
them.
It has been advisable not to be separate at the time of stress
CONCLUSION
Stress is dynamic condition in which an individual is confronted with an
opportunity, Constraints, or demand related to what he or she desires and for
which the outcome is perceived to be both uncertain and important.
Most of the respondents feel that they are exhausted by daily demands at
their work. They feel they are trapped by circumstances that they just have to live
with. The above suggestions helps to reduce the stress level of the employees
BIBLIOGRAPHY
1.www.authorstream.com
2. Statistical Methods - S.D.Gupta
3. Fundamentals of Information Technology - Alexis leon, Mathews leon