The Relationship between Demographic Variables and Job- Related
Stress among Bank Employees
Dr. Elizabeth
George1*, Dr. Zakkariya
K.A.2
1Associate Professor, Department of Management Studies, Adi Shankara Institute of
Engineering and Technology (ASIET), Kalady, Ernakulam Dist., Kerala, India Pin: 683574
2 Associate Professor,
School of Management Studies, Cochin University of Science and Technology(CUSAT),
Kalamassery, Ernakulam Dist., Kerala, India. Pin: 682022
*Corresponding Author E-mail: elizabethgeorge04@gmail.com
ABSTRACT:
Purpose: This study is aimed at examining the role
of gender, age, education and designation on the job - related stress among
employees in banking sector. It also examines job- related stress level of
employees of different sectors of banks.
Design/methodology/approach: Job - related tension index
(JRTI) developed by Kahn, Wolfe, Quinn and Snoek
(1964) was used to measure the job related stress. Data were collected from
employees of various banks belonging to private sector, public sector and new
generation banks. One way ANOVA and Z- test were conducted to find out the
influence of different demographic variables on job related stress.
Findings: The findings from the study indicated that the age is the only
demographic variables that affect the job- related stress of the employees. The
other demographic variables do not have any impact on the job related stress
level of employees. But different sectors of banks have different level of job
- related stress.
Practical
Implications:
Employees working in an organisation will be of
varied age groups. Different level of training should be given to employees of
diverse age group as employees in each age group have different stress level.
Similarly, different sectors of bank employees experience different levels of
job - related stress and hence stress release training and counselling
is to be given to the employees of different sectors of banks based on the
pressure they face in handling the job. More stress release methods can be
adopted for employees of New Generation
bank as their stress level is comparatively high..
Originality/value: The study is empirical in
nature, which gives an insight into job- related stress level of bank
employees. If banking sector is considered as a true representative of the
service sector, the results of the study have wider implications in the service
industry.
KEYWORDS: Job -Related Stress, Demographic
Variables, Employees, Banking Sector.
Development
of new technology, globalisation of economy and
international competition have compelled the organisations
to outperform by providing high quality products and services, implementing new
production process and supporting innovations. The consumers’ demands and
expectations are also high. As a result employees have intense pressure for
high organisational performance. They are expected to
do multi tasking, meet the job requirements and acquire additional skills. All
of these challenges lead to high stress for the employees. The various
stressors can result in physical, psychological and/or behavioural
deviations for employees. Since stress affect the productivity of the
employees, organizations should give prime importance to support the employees
to cope up with stress
Selye (1976) [1] has defined stress as the non-specific
response of the body to any demands made upon it (Selye,
1976) [1]. His model view stress as an internal response where
continued and prolonged stress may result in fatigue and tension leading to
depression and anxiety (Selye, 1946) [2]. Stress is defined as any circumstance
that places special physical and/or psychological demands on a person such that
an unusual or out of the ordinary response occurs (Dipboye
et. al, 1994)[3]. Parkes (1989) [4]stated
that stress was a relationship between an individual and the environment where
as Robbins (2001) [5] defines stress as a dynamic condition in which
the 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. Stress can be caused by environmental, organizational
and individual variables (Matteson et al., 1999[6]; Cook et al.,
2001) [7]. Stress may not be always negative. Eustress
result in stimulating and enhancing work performance. But distress results in
negative effects. It affects the worker’s health and work performance. This
directly affects the company’s performance.
Job- Related Stress
Job-related
stress is of growing concern because of its significance in economic
implications of the organizations. Job stress is different from general stress
as along with individual element it also has organizational and job related
elements. Caplan et al. (1975) [8] stated
that stress refers to any characteristics of the job environment which pose a
threat to the individual. Job-Related
Stress is the harmful physical and emotional responses that occur when the
requirements of the job do not match the capabilities, resources, or needs of
the worker (Sauter et al., 1999) [9].
Job stress can be defined as an employee’s awareness or feeling of
personal dysfunction as a result of perceived conditions or happenings in the
workplace, and the employee’s psychological and physiological reactions caused
by these uncomfortable, undesirable, or threats in the employee’s immediate
workplace environment (Montgomery et al., 1996) [10].
Job
stressors may refer to any characteristics of the work place that poses a
threat to the individual (French et al., 1972) [11]. Cooper et al.
(1978) [12] reported that stress occur when the environmental
demands were larger than the employees' abilities and the environmental
supplies were smaller than the employees' expectations. Dewe
et al. (1990) [13] stated stress as relationship between the person
and their work environment, as appraised by the person as demanding or
exceeding his or her resources, as well as endangering his or her own
well-being. Job stress can also be defined as the harmful physical and
emotional responses that occur when the requirements of the job do not match
the capabilities, resources, or needs of the worker (National Institute for
Occupational Safety and Health, 2002) [14]. Job stress is the extent
to which employees feels a tension of anxiety caused by their jobs (Gill, et
al., 2006) [15].
RESEARCH
PROBLEM:
The
role workplace stress plays are adversely affecting employee productivity,
absenteeism, and related work out comes (Rahman et
al., 1995) [16]. Stress if not managed properly will affect an
individual's productivity, effectiveness, personal health and quality of work.
Each of these factors results in extensive cost to employees themselves,
organization in which they work and society as a whole (Spielberger
et al., 1994) [17]. Job stress alone costs American business an
estimated $200 billion annually, the UK Pounds 63 billion and Australia $15
billion. These are the cost they incur for compensation claims, reduced
productivity, absenteeism, and health insurance costs and direct medical
expenses for stress related problems and illnesses (Savery
et al., 2000) [18]. According to Miller et al. (1997) [19]
stress among employees contribute to 50% of employee burnout and 40% of
employee turnover.
Moore
(2000) [20] states that increased environmental stressors may cause
employee burnout. A study conducted by the American Institute on Stress (2005)
reveals the following consequences: (a) Forty percent of turnover was caused by
stress and (b) Sixty to eighty percent of workplace accidents occurred due to
job stress. Tombaugh and White (1990) [21] indicated that during the
organizational change, the employees have to take more of a work load, which
caused employees' job stress. Thus stress leads to increase in turnover of
employees, employee burnout and high rate of accidents and increase in overall
expense of the organization. Individuals in service industries face
particularly stressful work situations.
According
to the National Institute for Occupational Safety and Health (NIOSH, 2002) [14],
job stress has become a costly problem in the workplace. NIOSH listed several
occupations as highly stressful. The effect of job stress leads to physical and
mental health problems of employees. Job stress victims show lack of
confidence, low motivation at workplace, increased blood pressure, job
dissatisfaction and intention to leave the job.
Stress reduces the effectiveness of the organisation,
leads to high desertion rates and low morale (Jimmieseon
et al., 2004) [22]. Therefore, stress management is essential in an organisation to cope up with and resolve stress.
These
studies on stress show how stress is negatively affecting the employees, their
performance and the organisations as a whole. There
are several studies on stress. However very few research have compared the
stress level of employees and their demographic variables. Therefore, the
current study is an attempt to relate the demographic variables such as gender,
age, education and designation with their job-related stress. Hence the
following hypotheses were formulated. Further, even though there are studies of
stress in banking sector, no studies have determined the stress level of
employees of different sectors of banks.
It is hypothesised thus
H1 : There exists a relationship between age and
Job-Related Stress.
H2 : There exists a relationship between
education and Job-Related Stress.
H3 : There exists a relationship between
designation and Job-Related Stress.
H4: There exists a relationship between gender
and Job-Related Stress.
H5 : Job-Related Stress differs among employees
of different sectors of banks.
METHOD AND
MATERIAL:
Sampling Design
Multi stage sampling was employed for the
present study At the first stage three sectors
of banks were chosen, taking into
consideration the different features of the three sectors of banks. They
were private sector banks, public sector banks and new generation banks. At the
second stage two banks each from each group of the above banks were chosen and
at the third level ten branches from each banks (60 branches) were chosen
through lottery method for data collection. Researcher collected 337 sample
from the employees of the afore mentioned branches.
Measures
Job Related Tension Index (JRTI)
Job-Related
Stress is taken in the study as the scores obtained by the respondents on the
Job-Related Tension Index (JRTI) developed by Kahn, Wolfe, Quinn and Snoek (1964) [23]. This scale evaluate
psychological indications of stress, such as feeling of over burdened with
work, not having the adequate resources and tools to complete given tasks or
projects, and usually being incapable to handle all of the work. The
theoretical framework that forms the basis for this measure proposes that role
conflict and role ambiguity result in job stress and tension (Kahn et al.,
1964) [23]. The job-related tension index is a 17 item scale. It
measures the stress on a five point Likert scale from
1=strongly disagree to 5= strongly agree. The index score is determined by
adding the responses. Higher scores indicated higher perceived occupational
stress. Cronbach alpha of JRTI has been tested and
found to be 0.86.
Individual level variables
Male
and Female employees of banks represented the gender. Age was measured in years
and their variable included four levels -20-30, 30-40, 40-50and 50-60. Educational levels were categorized under
five heads Under Graduates, Graduates, Post Graduates, Professional graduates
and others. As there is no homogeneity in the designations in different
banks, the employees were categorized on the basis of their designation into
three levels - Entry level, middle level and higher level. Entry level
employees are those coming under the clerical staff and assistant managers,
middle level includes those employees in the managerial level above assistant
managers and higher level, employees in the senior manager, chief manager and
branch manager category.
Demographics of the Sample
Out
of the 337 respondents, sixty one percent were on average age of less than
forty years and thirty nine percent were between forty to sixty years. Thirty
four per cent of the respondents were females and sixty six per cent were
males. Seventy eight percent of the respondents were either graduates or post
graduates. Forty eight percent were in the entry level, twenty one percent in
the middle level and thirty one percent in higher level.
ANALYSIS AND
RESULT:
The
descriptive statistics of job-related stress in different sectors of
banks-private sector bank, public sector bank and new generation banks were
calculated. Hypotheses were tested using one -way ANOVA. Further post-hoc test
were also conducted.
Age and
Job-Related Stress
Table 1 shows that the mean percentage
score of job-related stress is seemed to be lowest for the age group 40-50 and
it is 38.44% . 50-60 age group showed a mean score of 39.94%, 20-30 age groups
showed a mean score of 43.58 and 30-40 age group should a highest mean
sore of 76.78% an
43.97. From this it can be concluded that there is variation in mean score of
job related stress between different age groups. To verify the difference that
has been observed in mean percentage score is significant or not one way ANOVA
(F-test) was conducted.
Table 1-Mean, Mean % Score and
Standard Deviation of Job-Related Stress of employees of different age group
Age group |
Job-Related
Stress |
|
20-30 |
Mean |
37.04 |
Mean % Score |
43.58 |
|
Std. Deviation |
10.58 |
|
30-40 |
Mean |
37.37 |
Mean % Score |
43.97 |
|
Std. Deviation |
9.29 |
|
40-50 |
Mean |
32.68 |
Mean % Score |
38.44 |
|
Std. Deviation |
7.78 |
|
50-60 |
Mean |
33.95 |
Mean % Score |
39.94 |
|
Std. Deviation |
11.53 |
|
Total |
Mean |
35.77 |
Mean % Score |
42.08 |
|
Std. Deviation |
10.30 |
Table 2 clearly indicates that there exist
significant differences among different age group as far as job-related stress
is concerned (F=3.606, p value = 0.014) implying that the job-related
stress dependent on age group of
employees.
Now
to verify which ever groups have significant difference, Post Hoc multiple
comparison tests were conducted. The result of the test shows that only 30-40
age groups have significant difference with 40-50 age groups. All the other age
groups do not have any significant difference.
Table2-One Way ANOVA showing the
relationship between Age and Job-Related Stress
|
Sum
of Squares |
df |
Mean
Square |
F |
Sig. |
|
Job-Related
Stress |
Between
Groups |
1121.548 |
3 |
373.849 |
3.606 |
.014 |
Within
Groups |
34525.859 |
333 |
103.681 |
|
|
|
Total |
35647.407 |
336 |
|
|
|
Table 3-Post-Hoc analysis of Age
and Job-Related Stress of bank employees
Dependent
Variable |
(I)
Age group |
(J)
Age group |
Mean
Difference (I-J) |
Std.
Error |
Sig. |
95%
Confidence Interval |
|
Lower
Bound |
Upper
Bound |
||||||
Job-Related
Stress |
20-30 |
30-40 |
-.33102 |
1.42644 |
.996 |
-4.0142 |
3.3521 |
40-50 |
4.36540 |
1.90770 |
.103 |
-.5604 |
9.2912 |
||
50-60 |
3.09417 |
1.47042 |
.154 |
-.7025 |
6.8909 |
||
30-40 |
20-30 |
.33102 |
1.42644 |
.996 |
-3.3521 |
4.0142 |
|
40-50 |
4.69643 |
1.89195 |
.045 |
-.1887 |
9.5815 |
||
50-60 |
3.42519 |
1.44993 |
.086 |
-.3186 |
7.1690 |
||
40-50 |
20-30 |
-4.36540 |
1.90770 |
.103 |
-9.2912 |
.5604 |
|
30-40 |
-4.69643 |
1.89195 |
.045 |
-9.5815 |
.1887 |
||
50-60 |
-1.27124 |
1.92533 |
.912 |
-6.2425 |
3.7001 |
||
50-60 |
20-30 |
-3.09417 |
1.47042 |
.154 |
-6.8909 |
.7025 |
|
30-40 |
-3.42519 |
1.44993 |
.086 |
-7.1690 |
.3186 |
||
40-50 |
1.27124 |
1.92533 |
.912 |
-3.7001 |
6.2425 |
* The mean difference is significant at the
0.05 level.
Education and
Job-Related Stress
One way ANOVA shows that there is no
significant difference between different education level and job-related stress
as the p value is 0.219 (F= 1.446). This
means that educational level of employees in banks have no influence on their
stress level.
Table 4-One Way ANOVA showing the
Educational Level and Job-Related
Stress
|
Sum
of Squares |
df |
Mean
Square |
F |
Sig. |
|
Job-Related
Stress |
Between
Groups |
610.264 |
4 |
152.566 |
1.446 |
.219 |
Within
Groups |
35037.143 |
332 |
105.534 |
|
|
|
Total |
35647.407 |
336 |
|
|
|
Designation and Job-Related Stress
The relationship between job related
stress and designation was determined through, one-way ANOVA. Table 5 shows
that there is no significant difference between different designation and
job-related stress. The p value is 0.461
(F= 0.776). This means that designation of employees in banks do not
affect their stress level.
Table 5-One Way
ANOVA showing the designation and Job-Related
Stress
|
Sum
of Squares |
df |
Mean
Square |
F |
Sig. |
|
Job-Related
Stress |
Between
Groups |
164.811 |
2 |
82.406 |
.776 |
.461 |
Within
Groups |
35482.595 |
334 |
106.235 |
|
|
|
Total |
35647.407 |
336 |
|
|
|
Gender and Job-Related
Stress
Z-test
was conducted to test the alternative hypothesis (H4). The Z value obtained
is-1.726 and the p-value was 0.085. So the null hypothesis (H4) is accepted. In
other words male and female employees do not perceive job- related stress
differently.
Table 6-Z-Test
showing the relationship between Gender and Job-Related Stress
|
Gender |
Mean |
Std.
Deviation |
Mean
% Score |
Z |
Sig.
(2-tailed) |
Job-Related
Stress |
Male |
36.46 |
9.88 |
42.90 |
1.726 |
.085 |
Female |
34.42 |
10.99 |
40.50 |
|
|
Employees of
Different Sectors of banks and
Job-Related Stress
The mean percentage score of the
job-related stress for the private sector bank is 42.95%, public sector is
38.39% and the new generation bank is 44.83% which shows that there is a
variation in job-related stress among the three sectors of banks. To verify the
difference that has been observed in mean percentage score is significant or
not one way ANOVA (F-test) was conducted. The result of one way ANOVA is shown
in Table 8. It clearly indicates that there exist significant differences in
job-related stress in different sectors of banks (F=9.002, p value < 0.001)
implying that the job- related stress varies among employees of different
sectors of bank.
Table 7-showing the descriptive statistics
of Job-Related Stress in different sectors of banks
Sector |
Job-Related
Stress |
|
Private |
Mean |
36.50 |
Mean
% Score |
42.95 |
|
Std.
Deviation |
10.61 |
|
Public |
Mean |
32.63 |
Mean
% Score |
38.39 |
|
Std.
Deviation |
10.11 |
|
New Generation |
Mean |
38.11 |
Mean
% Score |
44.83 |
|
Std.
Deviation |
9.51 |
|
Total |
Mean |
35.77 |
Mean
% Score |
42.08 |
|
Std.
Deviation |
10.30 |
Table 8-One Way
ANOVA showing the relationship between Employees of different sectors of
bank and
Job-Related Stress
|
Sum
of Squares |
df |
Mean
Square |
F |
Sig. |
|
Job-related
stress |
Between
Groups |
1823.190 |
2 |
911.595 |
9.002 |
<.001 |
Within
Groups |
33824.217 |
334 |
101.270 |
|
|
|
Total |
35647.407 |
336 |
|
|
|
Now
to verify which ever sectors of banks have significant difference, Post Hoc
multiple comparison tests were conducted. The result of the test shows that
Public sector banks have significant difference with new generation banks.
Table
9-Post-Hoc analysis of Employees of Different sectors of Banks and Job Related
Stress
Dependent
Variable |
(I)
Sector |
(J)
Sector |
Mean
Difference (I-J) |
Std.
Error |
Sig. |
95%
Confidence Interval |
|
Lower
Bound |
Upper
Bound |
||||||
Job-
related stress |
Private |
Public |
3.87644* |
1.36406 |
.013 |
.6651 |
7.0877 |
New
Generation |
-1.60448 |
1.34740 |
.459 |
-4.7765 |
1.5676 |
||
Public |
Private |
-3.87644* |
1.36406 |
.013 |
-7.0877 |
-.6651 |
|
New
Generation |
-5.48093* |
1.32182 |
.001 |
-8.5928 |
-2.3691 |
||
New
Generation |
Private |
1.60448 |
1.34740 |
.459 |
-1.5676 |
4.7765 |
|
Public |
5.48093* |
1.32182 |
.001 |
2.3691 |
8.5928 |
*
The mean difference is significant at the 0.05 level.
DISCUSSION:
This
study focused on two aspects :a) whether there is a relation between
demographic variables viz. age, education, designation and gender and job
related stress and b)whether Job-Related Stress differs among employees of
different sectors of banks.
Demographic Variables and Job Related
Stress
In a study among male executives Reddy and
Ramamurthy (1991) [24] concluded that age related factors influenced
the stress level of employees. Researchers like Virk
et al. (2001) [25] also suggested that age had a strong impact on
job stress. The present study also is in line with the above studies implying
that the job related stress dependent on age group of employees. The result
further shows that 30-40 age groups have comparatively high stress than
employees of 40-50 age groups. This may be because this age group find it
difficult to manage their work life balance. But in a study among the non-gazetted officers of the Central Reserve Police Force
(CRPF) Balakrishnamurthy et al. (2011) [26]
stated that stress level were not affected significantly by age. Ansari (1991) [27] found out that the
correlation between the nature of stress and qualification of agriculture university teachers in different
position (professors, associate
professors and assistant professors)
were not significant. The present study is also consistent with this study.
Sharma (2007) [28] highlighted that there is a positive correlation
between occupational stress and job hierarchy among the defence
personnel in Indian context However the present study shows that designation
does not affect the stress level of bank employees. This may be because
employees in all designation in banking sector have some kind responsibilities
whether they are in higher level or lower level. The present study states that
there is no gender difference in the perception of stress among the bank employees. Researchers like
Aminabhavi et al. (2000) [29], Kyriacou et al.
(2004) [30] etc. also reported that there is no difference in stress
level among male and female employees.
Employees of Different Sectors
of Banks and Job Related Stress
Though
there are studies revealing the differences in the level of job stress among
different industries, no studies were found in the literature explaining
differences in job related stress among various sectors of same industry. The
findings of the present study elucidate the possibilities for having
differences in levels of job stress among different sectors of same industry as
it was found that there is a difference in job related stress of employees of
different sectors of the banking industry.
Job
related stress differed among the three sectors of banks. So to identify which sectors have significant
difference further analysis was conducted and the result showed that Public
sector banks have significant difference with new generation banks. Compared to
employees of public sector banks, employees of new generation banks have a very
high stress level.
CONCLUSION AND IMPLICATION:
The
result of the study indicated that among the demographic variables, only the
age of employees have significant relation with job related stress. Other
demographic variables like designation, education and gender do not have any
relationship with job related stress. It was further revealed that employees in
the age group of 30-40 have high level of stress. The study also revealed that
the job related stress varies among different sectors of banks. Public sector
banks have low job related stress compared to new generation banks and private
sector banks. The employees in private sector banks and new generation banks
have high targets, deadlines and high pressure work atmosphere. Lack of job
security can also be another reason of having high job stress. The stress of
employees in private sector banks and new generation banks can be reduced by
giving them adequate training and counselling to
manage stress. Giving them achievable targets and some autonomy within their
scope can enable the employees to reduce their job stress.
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Received on 16.04.2015 Modified on 28.04.2015
Accepted on 05.06.2015 © A&V Publication all right reserved
Asian J. Management; 6(3):
July-Sept., 2015 page 169-175
DOI: 10.5958/2321-5763.2015.00025.6