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Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6636 Copyright ⓒ 2019Authors
A Study on the Quality of Exertion life cycle stability with
Reference To textile Mills
Dr. Subramania Bala Jeshurun1
&P. Karuppanna Prakash2
Assistant Professor, Department of Management Studies, Francis Xavier
Engineering College, Tirunelveli
ABSTRACT
This study examines the influence of perceived flexibility within the timing and site of
labour on work-family balance. Results indicate that perceived job flexibility is claimed to
reinforce work-family balance after controlling for paid work hours, unpaid domestic labour
hours, gender, and occupational level. Also given an equivalent workload individual, with
perceived job flexibility have more favorable work-life balance. Likewise, employees with
perceived job flexibility are ready to work long hours before workload negatively impacts their
work-family balance and also these makes the workers feel as stress. Implications of those
findings are presented. Also, from the feedback, an employee has suggested to given a vacation
leave so as that they are getting to spend enough time with the family. The longer-term benefits
of this study observe business sense to support work-life balance.
Keywords: Flexible time, Work life balance, Textile
INTRODUCTION
The essential purpose is to develop jobs and dealing conditions that are excellent for
workers also because the economic health of the organization. It refers to the extent of
satisfaction, motivation, commitment and involvement a personal experience with regard to their
line at the work. The quality of labor life is that the degree of excellence caused work and
dealing conditions that contribute to the overall satisfaction and performance primarily at the
individual level and eventually at the organization level.
Every organization employees are the force that's behind every successful organization.
No organization can become successful with technology only thanks to the use of technology
also, organizations need to have a strong workforce. Quality of labor Life was the term actually
introduced within the late 1960s. From that period till now the term is gaining more and more
important everywhere, at every workplace.
Initially quality of work-life was that concentrate on the results of employment on the
general wellbeing and thus the health of the workers. But now its focus has been changed. Every
organization must provides an honest environment to its workers including all financial and
nonfinancial incentives so as that they're going to retain their employees for an extended period
and for the achievement of the organization goals. Within the top, we'll say that a cheerful and
healthy employee will give better turnover, observe decisions and positively contribute to the
organization goal.
The quality of labor life could also be a process by which an organization responds to
employee needs for developing a mechanism that allows them to share fully in making a choice
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6637 Copyright ⓒ 2019Authors
that designs their life at work. Having supervision, proper working conditions, pay and smart
benefits and interesting and rewarding in job.
The Six Components of Quality of work life Balance
1. Self-Management
2. Time Management
3. Stress Management
4. Change Management
5. Technology Management
6. Leisure Management
Factors affecting quality of work life:
Employment fulfillment is favourable or unfavourable with which employees view their
work. Like enthusiasm, it's suffering from the environment. Work pleasure is impacted by
employment design. Likewise, orientation is critical because the employee’s acceptance by the
workgroup contributes to satisfaction. In short, each element of the environmental system, can
increase, or detract from, job satisfaction.
Pay:
Quality of labor life is essentially built round the concept of equitable pay. In lately
ahead, employees might want to participate within the profit of the organization.
People:
Almost everyone has got to affect three sets of individuals within the workplace. Those
are namely boss, co-workers at an equivalent level and subordinates. These situations demand a
high level of prudence, cool temper, tactfulness, humour, kindness, diplomacy and sensitiveness.
Health conditions of employees:
The organization should realize that their true wealth lies in its employees then providing
a healthy environment for workers should be their primary objective.
Personal and career growth opportunities:
A corporation should provide employees with the chance for personal/professional
development and growth and to organize them to simply accept the responsibilities at a better
level.
Participative management style and recognition:
Flat organization structure helps the organization facilitate employee participation. A
Participative management style improves the standard of labor life. Workers feel that they need
control over their work process and that they also offer innovative ideas to enhance them.
REVIEW OF LITERATURE:
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6638 Copyright ⓒ 2019Authors
Raduan (2006) during a study to work out the extent and relationship between qualities of
work-life (Quality of labor Life) with career-related variables revealed that the three exogenous
variables are significant like career satisfaction, career achievement and career balance with 63%
of the variance in Quality of labor Life. These findings contribute to an understanding of the way
by top management in attempts to achieve a career fit between the requirements of the workers
and therefore the needs of the organization.
Dargahi (2007) conducted a study to supply the processes wont to investigate and
implement a pathway for improvement of Quality of labor Life as an approach model. The
results from the survey showed that the perceived strongest areas among 12 categories developed
by Quality of Work-Life Strategic Planning Committee that employees agreed to enhance on
their Quality of Work-Life were Organizational Commitment, trust, support, monetary
compensation, non-monetary compensation, leadership, attendance management, communication
between managers and employees, Communication between managers and managers, overall
communication, respect and recognition.
Guna. (2008) during a study entitled “Constructs of Quality of labor Life: A Perspective
of data and Technology Professionals” concluded that IT industries in many developing
countries are experiencing tremendous challenges in meeting the utilization market demand. an
honest human resource practice would encourage IT professionals to be more productive while
enjoying their work. Effective strategic human resource policies and procedures are essential to
control and supply excellent Quality of labor Life among IT professionals.
Pugalendhi (2011) during a study of Quality of labor Life: Perception of school teachers
revealed a big relationship between Quality of labor Life total and Quality of Life in teaching
environment total. They also found that the standard of school teachers is low in its working
level and stated that Quality of labor Life is an important concept of the favorable situation
during a working environment.
STATEMENT OF THE PROBLEM
During this study, when examining the work-life of Textile mills employees, there's a
number of the key issues arise because the stressful work-life condition. Hence it's necessary to
research the “Quality of Work-Life Balance” among the workers at Textile mills so as to extend
their productivity level.
OBJECTIVES OF THE STUDY
1. To determine the factors responsible for bringing out a balance between their professional
and personal life.
2. To study the impact of work life balance based upon the performance of the employees.
3. To know the opinion of the employees with regard to their work.
HYPOTHESIS OF THE STUDY:
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6639 Copyright ⓒ 2019Authors
Hypothesis 1:
 (H01), there is no significant relationship between age and feeling of tried or
depression.
Hypothesis 2:
 (H02), there is no significant relationship between working days in week and
balancing the work life.
Research Methodology
Descriptive research is employed to explain the characteristics of a population or
phenomenon being studied. This design includes a survey and fact-finding enquiries of various
kinds. The main purpose of this research may be a description of the state of affairs, because it
exists at the present. Simple sampling technique may be a probability sampling design, during
which each member of the population has an equal chance of being chosen. The samples are
drawn from 275 employees within the organization out of which only 100 samples are selected
from employees working in Textile Mills, the info are collected by the tactic of the
questionnaire.
DATA ANALYSIS AND INTERPRETATION
TABLE 1
GENDER OF THE EMPLOYEES
Source: Primary Data
Inference:From the above chart, it is inferred that 56 percent of the employees are female and 44
percent employees are male.
TABLE 2
AGE OF THE EMPLOYEES
Source: Primary Data
Inference:From the above chart, it is inferred that 16 percent of the employees are between 20-
30 years, 42 percent are between 30-40 years, 30 percent of the employees are between 40-50
years, 12 percent of the employees are above 50.
Category Frequency percent
Male 44 44
Female 56 56
Total 100 100
Category Frequency percent
20-30 16 16
30-40 42 42
40-50 30 30
above 50 12 12
Total 100 100
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6640 Copyright ⓒ 2019Authors
TABLE 4
EXPERIENCE IN TEXTILE MILLS
Category frequency percent
Less than 1 year 16 16
1 to 5 years 60 60
5-10 years 22 22
above 10 years 2 2
Total 100 100
Source: Primary Data
Inference:From the above chart, it is inferred that 16 percent of the employees experienced less
than 1 year, 60 percent of the employees experienced between 1-5 years, 22 percent of the
employees experienced between 5-10 years and 2 percent of the employees experienced above
10 years.
TABLE 5
INCOME
Category frequency percent
Below Rs.12,000 21 21
12,000-17,000 67 67
Above 17,000 12 12
Total 100 100
Source: Primary Data
Inference:From the above chart, it is inferred that 21 percent of the employees earn income
below 12000, 67 percent of the employees earn income between 12000 to 17000 and 12 percent
of the employees earn income above 17000.
TABLE 6
WORKING ENVIRONMENT OF THE TEXTILE MILLS
Category Frequency percent
Highly Satisfied 12 12
Satisfied 40 40
Moderate 42 42
Dissatisfied 6 6
Highly Dissatisfied 0 0
Total 100 100
Source: Primary Data
Inference:From the above chart, it is inferred that 12 percent of the employees are highly
satisfied with the working environment, 40 percent of the employees are satisfied with the
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6641 Copyright ⓒ 2019Authors
working environment, and 42 percent of the employees moderate towards the working
environment and 6 percent of the employees are dissatisfied with the working environment of the
Textile Mills.
TABLE 7
SPEND ENOUGH TIME WITH THE FAMILY
Category frequency percent
Always 20 20
Sometimes 39 39
Never 31 31
Often 9 9
Rarely 1 1
Total 100 100
Source: Primary Data
Inference:From the above chart, it is inferred that 20 percent of the employees always feel that
they are unable to spend enough time with their family,39 percent of the employees sometimes
feel that they are unable to spend enough time with their family,31 percent of the employees
never feel that they are unable to spend enough time with their family,9 percent of the
employees often feel that they are unable to spend enough time with their family and 1 percent of
the employees rarely feel that they are unable to spend enough time with their family.
TABLE 8
JOB SECURITY PROVIDED IN THE ORGANIZATION
Category Frequency Percent
Yes 71 71
No 29 29
Total 100 100
Source: Primary Data
Inference:From the above chart, it is inferred that 71 percent of the employees agree that the job
security provided in their organization satisfy their work life and 29 percent of the employees
does not agree that the job security provided in their organization satisfy their work life
TABLE 9
THINK OR WORRY ABOUT THE WORK
Category frequency percent
Always 7 7
Sometimes 47 47
Never 4 4
Often 31 31
Rarely 11 11
Total 100 100
Source: Primary Data
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6642 Copyright ⓒ 2019Authors
Inference:From the above chart, it is inferred that 7 percent of the employees always worry
about their work, 47 percent of the employees sometimes worry about their work, 4 percent of
the employees never worry about their work, 31 percent of the employees often worry about their
work and 11 percent of the employees rarely worry about their work.
TABLE 10
WELFARE ACTIVITIES
Category Frequency Percent
Highly satisfied 12 12
Satisfied 30 30
Moderate 50 50
Dissatisfied 8 8
Highly Dissatisfied 0 0
Total 100 100
Source: Primary Data
Inference:From the above chart, it is inferred that 12 percent of the employees are highly
satisfied with the welfare activities provided by the company, 30 percent of the employees
satisfied with the welfare activities provided by the company, 50 percent of the employees are
moderate towards the welfare activities provided by the company and 8 percent of the employees
are dissatisfied with the welfare activities provided by the company.
Chi Square Analysis to Find Out the Relationship Between Age and Tired or Depression
Faced By The Respondents
Null Hypothesis (H0): There is no significant relationship between age and feeling of
tired or depression.
Alternative Hypothesis (H1): There is a significant relationship between age and feeling
of tired or depression.
TABLE 11
INFERENCE:Since the calculated value is greater than table value, the null hypothesis is
rejected. Therefore there is a relationship between age and feeling of tired or depression.
Chi-Square Tests
Value df Asymp. Sig.
(2-sided)
Pearson Chi-Square 8.895a
9 .447
Likelihood Ratio 9.343 9 .406
Linear-by-Linear
Association
.093 1 .761
N of Valid Cases 100
a. 10 cells (62.5%) have expected count less than 5. The
minimum expected count is .66.
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6643 Copyright ⓒ 2019Authors
Chi Square Analysis to Find Out The Relationship Between Working Days In A Week And
Balancing The Work Life
Null Hypothesis (H0): There is no significant relationship between working days in a
week and balancing the work life.
Alternative Hypothesis (H1): There is a significant relationship between working days
in a week and balancing the work life.
TABLE 12
Chi-Square Tests
Value df Asymp. Sig.
(2-sided)
Pearson Chi-Square 14.844a
9 .095
Likelihood Ratio 14.127 9 .118
Linear-by-Linear
Association
1.874 1 .171
N of Valid Cases 100
a. 8 cells (50.0%) have expected count less than 5. The
minimum expected count is 1.35.
INFERENCE:From the above table, the chi square value is .095 which is greater than the
significance value 0.05.So Null Hypothesis is accepted. Therefore there is no significant
relationship between working days in week and balancing the work life.
FINDINGS
• 47 percentage of the workers rate the standard of work-life in their organization is
somewhat good. 42 percentage of the workers never bring a private problem to figure . 69
percentage of the workers are satisfied with shift allotment by the corporate . 71
percentage of the workers agree the work security provided in their organization satisfy
their work life.
• 47 percentage of the workers sometimes think and worry about work. 83 percentage of
the workers have responded that the organization take initiatives to manage the work-life
of the worker . 50 percentage of the workers are satisfied with the welfare activities
provided by the corporate .
• 45 percentage of the workers responded that they're moderate towards the present wage
system. 52 percentage of the workers informed about the grievances through employee
meeting. 86 percentage of the workers think that if employees have good work-life
balance, the organization are going to be simpler and successful. From the chi-square
method, there's a big relationship between the age and feeling of tiredness or depression.
• From the chi-square method, there's no significant relationship between working days
during a week and balancing the work-life. From correlation, it's inferred that age and
days normally work are positively correlated.
SUGGESTIONS
Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6644 Copyright ⓒ 2019Authors
• It could also be recommended to the management that the opinion of the workers should
be heard by the organization. More importance are often given to the ladies employees by
adding more facilities and provisions which will enhance their work-life balance.
• Due to the continual add the organization, the workers feel tired due to work. in order that
they will provide a free break for the workers . Further, the workers have suggested
improving the present wage system within the organization. Also, from the feedback, an
employee has suggested to given a vacation leave in order that they will spend enough
time with the family.
CONCLUSION
The workers possess a favourable opinion towards the standard of work-life balance in Textile
mills and therefore the facilities intents the workers to extend their commitments in services
whereby productivity is additionally highly improved. there's an expectation among staff that an
employer should be sympathetic towards employees need by providing flexible working
arrangements. From an employer point of view, it makes good business sense to support work-
life balance.
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12. F.M.AiyshaFarzana, HameedhulArshadh. A, Ganesan. J, Dr. N. Muthukumaran, 'High Performance VLSI Architecture
for Advanced QPSK Modems', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 45-49, January 2019.
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Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6645 Copyright ⓒ 2019Authors
16. Anil Lamba, Satinderjeet Singh, Natasha Dutta, Sivakumar Sai Rela Muni, “Uses of Different Cyber Security Service to
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Technological Research in Engineering, Volume 2 Issue 3, pp.5814-5825, 2014.
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Our Heritage
ISSN: 0474-9030
Vol-68-Issue-30-February-2020
P a g e | 6646 Copyright ⓒ 2019Authors
43. J. Keziah, N. Muthukumaran, 'Design of K Band Transmitting Antenna for Harbor Surveillance Radar Application',
International Journal on Applications in Electrical and Electronics Engineering, Vol. 2, No. 5, pp. 16-20, May 2016.
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'Design of Underground Mine Detecting Robot using Sensor Network', International Journal of Emerging Technology and
Innovative Engineering, Volume 5, Issue 7, pp. 519-524, July 2019.
45. VP. Anubala, N. Muthukumaran and R. Nikitha, „Performance Analysis of Hookworm Detection using Deep
Convolutional Neural Network‟, 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 348-
354, 2018, doi: 10.1109/ICSSIT.2018.8748645.
46. N. Muthukumaran and R. Ravi, 'The Performance Analysis of Fast Efficient Lossless Satellite Image Compression and
Decompression for Wavelet Based Algorithm', Wireless Personal Communications, Volume. 81, No. 2, pp. 839-859, March 2015.
47. Jayaraman.G, Dr. N. Muthukumaran,Vanaja.A, Santhamariammal.R, 'Design and Analysis the Fire Fighting Robot',
International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 9, pp. 690-695, September 2019.
48. R. Joshua Samuel Raj, T.Sudarson Rama Perumal, N.Muthukumaran, „Road Accident Data Analytics Using Map –
Reduce Concept‟, International Journal of Innovative Technology and Exploring Engineering, Volume-8, Issue-11, pp. 1032-
1037, September 2019.

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Textile Mills Work-Life Balance Study

  • 1. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6636 Copyright ⓒ 2019Authors A Study on the Quality of Exertion life cycle stability with Reference To textile Mills Dr. Subramania Bala Jeshurun1 &P. Karuppanna Prakash2 Assistant Professor, Department of Management Studies, Francis Xavier Engineering College, Tirunelveli ABSTRACT This study examines the influence of perceived flexibility within the timing and site of labour on work-family balance. Results indicate that perceived job flexibility is claimed to reinforce work-family balance after controlling for paid work hours, unpaid domestic labour hours, gender, and occupational level. Also given an equivalent workload individual, with perceived job flexibility have more favorable work-life balance. Likewise, employees with perceived job flexibility are ready to work long hours before workload negatively impacts their work-family balance and also these makes the workers feel as stress. Implications of those findings are presented. Also, from the feedback, an employee has suggested to given a vacation leave so as that they are getting to spend enough time with the family. The longer-term benefits of this study observe business sense to support work-life balance. Keywords: Flexible time, Work life balance, Textile INTRODUCTION The essential purpose is to develop jobs and dealing conditions that are excellent for workers also because the economic health of the organization. It refers to the extent of satisfaction, motivation, commitment and involvement a personal experience with regard to their line at the work. The quality of labor life is that the degree of excellence caused work and dealing conditions that contribute to the overall satisfaction and performance primarily at the individual level and eventually at the organization level. Every organization employees are the force that's behind every successful organization. No organization can become successful with technology only thanks to the use of technology also, organizations need to have a strong workforce. Quality of labor Life was the term actually introduced within the late 1960s. From that period till now the term is gaining more and more important everywhere, at every workplace. Initially quality of work-life was that concentrate on the results of employment on the general wellbeing and thus the health of the workers. But now its focus has been changed. Every organization must provides an honest environment to its workers including all financial and nonfinancial incentives so as that they're going to retain their employees for an extended period and for the achievement of the organization goals. Within the top, we'll say that a cheerful and healthy employee will give better turnover, observe decisions and positively contribute to the organization goal. The quality of labor life could also be a process by which an organization responds to employee needs for developing a mechanism that allows them to share fully in making a choice
  • 2. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6637 Copyright ⓒ 2019Authors that designs their life at work. Having supervision, proper working conditions, pay and smart benefits and interesting and rewarding in job. The Six Components of Quality of work life Balance 1. Self-Management 2. Time Management 3. Stress Management 4. Change Management 5. Technology Management 6. Leisure Management Factors affecting quality of work life: Employment fulfillment is favourable or unfavourable with which employees view their work. Like enthusiasm, it's suffering from the environment. Work pleasure is impacted by employment design. Likewise, orientation is critical because the employee’s acceptance by the workgroup contributes to satisfaction. In short, each element of the environmental system, can increase, or detract from, job satisfaction. Pay: Quality of labor life is essentially built round the concept of equitable pay. In lately ahead, employees might want to participate within the profit of the organization. People: Almost everyone has got to affect three sets of individuals within the workplace. Those are namely boss, co-workers at an equivalent level and subordinates. These situations demand a high level of prudence, cool temper, tactfulness, humour, kindness, diplomacy and sensitiveness. Health conditions of employees: The organization should realize that their true wealth lies in its employees then providing a healthy environment for workers should be their primary objective. Personal and career growth opportunities: A corporation should provide employees with the chance for personal/professional development and growth and to organize them to simply accept the responsibilities at a better level. Participative management style and recognition: Flat organization structure helps the organization facilitate employee participation. A Participative management style improves the standard of labor life. Workers feel that they need control over their work process and that they also offer innovative ideas to enhance them. REVIEW OF LITERATURE:
  • 3. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6638 Copyright ⓒ 2019Authors Raduan (2006) during a study to work out the extent and relationship between qualities of work-life (Quality of labor Life) with career-related variables revealed that the three exogenous variables are significant like career satisfaction, career achievement and career balance with 63% of the variance in Quality of labor Life. These findings contribute to an understanding of the way by top management in attempts to achieve a career fit between the requirements of the workers and therefore the needs of the organization. Dargahi (2007) conducted a study to supply the processes wont to investigate and implement a pathway for improvement of Quality of labor Life as an approach model. The results from the survey showed that the perceived strongest areas among 12 categories developed by Quality of Work-Life Strategic Planning Committee that employees agreed to enhance on their Quality of Work-Life were Organizational Commitment, trust, support, monetary compensation, non-monetary compensation, leadership, attendance management, communication between managers and employees, Communication between managers and managers, overall communication, respect and recognition. Guna. (2008) during a study entitled “Constructs of Quality of labor Life: A Perspective of data and Technology Professionals” concluded that IT industries in many developing countries are experiencing tremendous challenges in meeting the utilization market demand. an honest human resource practice would encourage IT professionals to be more productive while enjoying their work. Effective strategic human resource policies and procedures are essential to control and supply excellent Quality of labor Life among IT professionals. Pugalendhi (2011) during a study of Quality of labor Life: Perception of school teachers revealed a big relationship between Quality of labor Life total and Quality of Life in teaching environment total. They also found that the standard of school teachers is low in its working level and stated that Quality of labor Life is an important concept of the favorable situation during a working environment. STATEMENT OF THE PROBLEM During this study, when examining the work-life of Textile mills employees, there's a number of the key issues arise because the stressful work-life condition. Hence it's necessary to research the “Quality of Work-Life Balance” among the workers at Textile mills so as to extend their productivity level. OBJECTIVES OF THE STUDY 1. To determine the factors responsible for bringing out a balance between their professional and personal life. 2. To study the impact of work life balance based upon the performance of the employees. 3. To know the opinion of the employees with regard to their work. HYPOTHESIS OF THE STUDY:
  • 4. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6639 Copyright ⓒ 2019Authors Hypothesis 1:  (H01), there is no significant relationship between age and feeling of tried or depression. Hypothesis 2:  (H02), there is no significant relationship between working days in week and balancing the work life. Research Methodology Descriptive research is employed to explain the characteristics of a population or phenomenon being studied. This design includes a survey and fact-finding enquiries of various kinds. The main purpose of this research may be a description of the state of affairs, because it exists at the present. Simple sampling technique may be a probability sampling design, during which each member of the population has an equal chance of being chosen. The samples are drawn from 275 employees within the organization out of which only 100 samples are selected from employees working in Textile Mills, the info are collected by the tactic of the questionnaire. DATA ANALYSIS AND INTERPRETATION TABLE 1 GENDER OF THE EMPLOYEES Source: Primary Data Inference:From the above chart, it is inferred that 56 percent of the employees are female and 44 percent employees are male. TABLE 2 AGE OF THE EMPLOYEES Source: Primary Data Inference:From the above chart, it is inferred that 16 percent of the employees are between 20- 30 years, 42 percent are between 30-40 years, 30 percent of the employees are between 40-50 years, 12 percent of the employees are above 50. Category Frequency percent Male 44 44 Female 56 56 Total 100 100 Category Frequency percent 20-30 16 16 30-40 42 42 40-50 30 30 above 50 12 12 Total 100 100
  • 5. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6640 Copyright ⓒ 2019Authors TABLE 4 EXPERIENCE IN TEXTILE MILLS Category frequency percent Less than 1 year 16 16 1 to 5 years 60 60 5-10 years 22 22 above 10 years 2 2 Total 100 100 Source: Primary Data Inference:From the above chart, it is inferred that 16 percent of the employees experienced less than 1 year, 60 percent of the employees experienced between 1-5 years, 22 percent of the employees experienced between 5-10 years and 2 percent of the employees experienced above 10 years. TABLE 5 INCOME Category frequency percent Below Rs.12,000 21 21 12,000-17,000 67 67 Above 17,000 12 12 Total 100 100 Source: Primary Data Inference:From the above chart, it is inferred that 21 percent of the employees earn income below 12000, 67 percent of the employees earn income between 12000 to 17000 and 12 percent of the employees earn income above 17000. TABLE 6 WORKING ENVIRONMENT OF THE TEXTILE MILLS Category Frequency percent Highly Satisfied 12 12 Satisfied 40 40 Moderate 42 42 Dissatisfied 6 6 Highly Dissatisfied 0 0 Total 100 100 Source: Primary Data Inference:From the above chart, it is inferred that 12 percent of the employees are highly satisfied with the working environment, 40 percent of the employees are satisfied with the
  • 6. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6641 Copyright ⓒ 2019Authors working environment, and 42 percent of the employees moderate towards the working environment and 6 percent of the employees are dissatisfied with the working environment of the Textile Mills. TABLE 7 SPEND ENOUGH TIME WITH THE FAMILY Category frequency percent Always 20 20 Sometimes 39 39 Never 31 31 Often 9 9 Rarely 1 1 Total 100 100 Source: Primary Data Inference:From the above chart, it is inferred that 20 percent of the employees always feel that they are unable to spend enough time with their family,39 percent of the employees sometimes feel that they are unable to spend enough time with their family,31 percent of the employees never feel that they are unable to spend enough time with their family,9 percent of the employees often feel that they are unable to spend enough time with their family and 1 percent of the employees rarely feel that they are unable to spend enough time with their family. TABLE 8 JOB SECURITY PROVIDED IN THE ORGANIZATION Category Frequency Percent Yes 71 71 No 29 29 Total 100 100 Source: Primary Data Inference:From the above chart, it is inferred that 71 percent of the employees agree that the job security provided in their organization satisfy their work life and 29 percent of the employees does not agree that the job security provided in their organization satisfy their work life TABLE 9 THINK OR WORRY ABOUT THE WORK Category frequency percent Always 7 7 Sometimes 47 47 Never 4 4 Often 31 31 Rarely 11 11 Total 100 100 Source: Primary Data
  • 7. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6642 Copyright ⓒ 2019Authors Inference:From the above chart, it is inferred that 7 percent of the employees always worry about their work, 47 percent of the employees sometimes worry about their work, 4 percent of the employees never worry about their work, 31 percent of the employees often worry about their work and 11 percent of the employees rarely worry about their work. TABLE 10 WELFARE ACTIVITIES Category Frequency Percent Highly satisfied 12 12 Satisfied 30 30 Moderate 50 50 Dissatisfied 8 8 Highly Dissatisfied 0 0 Total 100 100 Source: Primary Data Inference:From the above chart, it is inferred that 12 percent of the employees are highly satisfied with the welfare activities provided by the company, 30 percent of the employees satisfied with the welfare activities provided by the company, 50 percent of the employees are moderate towards the welfare activities provided by the company and 8 percent of the employees are dissatisfied with the welfare activities provided by the company. Chi Square Analysis to Find Out the Relationship Between Age and Tired or Depression Faced By The Respondents Null Hypothesis (H0): There is no significant relationship between age and feeling of tired or depression. Alternative Hypothesis (H1): There is a significant relationship between age and feeling of tired or depression. TABLE 11 INFERENCE:Since the calculated value is greater than table value, the null hypothesis is rejected. Therefore there is a relationship between age and feeling of tired or depression. Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 8.895a 9 .447 Likelihood Ratio 9.343 9 .406 Linear-by-Linear Association .093 1 .761 N of Valid Cases 100 a. 10 cells (62.5%) have expected count less than 5. The minimum expected count is .66.
  • 8. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6643 Copyright ⓒ 2019Authors Chi Square Analysis to Find Out The Relationship Between Working Days In A Week And Balancing The Work Life Null Hypothesis (H0): There is no significant relationship between working days in a week and balancing the work life. Alternative Hypothesis (H1): There is a significant relationship between working days in a week and balancing the work life. TABLE 12 Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 14.844a 9 .095 Likelihood Ratio 14.127 9 .118 Linear-by-Linear Association 1.874 1 .171 N of Valid Cases 100 a. 8 cells (50.0%) have expected count less than 5. The minimum expected count is 1.35. INFERENCE:From the above table, the chi square value is .095 which is greater than the significance value 0.05.So Null Hypothesis is accepted. Therefore there is no significant relationship between working days in week and balancing the work life. FINDINGS • 47 percentage of the workers rate the standard of work-life in their organization is somewhat good. 42 percentage of the workers never bring a private problem to figure . 69 percentage of the workers are satisfied with shift allotment by the corporate . 71 percentage of the workers agree the work security provided in their organization satisfy their work life. • 47 percentage of the workers sometimes think and worry about work. 83 percentage of the workers have responded that the organization take initiatives to manage the work-life of the worker . 50 percentage of the workers are satisfied with the welfare activities provided by the corporate . • 45 percentage of the workers responded that they're moderate towards the present wage system. 52 percentage of the workers informed about the grievances through employee meeting. 86 percentage of the workers think that if employees have good work-life balance, the organization are going to be simpler and successful. From the chi-square method, there's a big relationship between the age and feeling of tiredness or depression. • From the chi-square method, there's no significant relationship between working days during a week and balancing the work-life. From correlation, it's inferred that age and days normally work are positively correlated. SUGGESTIONS
  • 9. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6644 Copyright ⓒ 2019Authors • It could also be recommended to the management that the opinion of the workers should be heard by the organization. More importance are often given to the ladies employees by adding more facilities and provisions which will enhance their work-life balance. • Due to the continual add the organization, the workers feel tired due to work. in order that they will provide a free break for the workers . Further, the workers have suggested improving the present wage system within the organization. Also, from the feedback, an employee has suggested to given a vacation leave in order that they will spend enough time with the family. CONCLUSION The workers possess a favourable opinion towards the standard of work-life balance in Textile mills and therefore the facilities intents the workers to extend their commitments in services whereby productivity is additionally highly improved. there's an expectation among staff that an employer should be sympathetic towards employees need by providing flexible working arrangements. From an employer point of view, it makes good business sense to support work- life balance. REFERENCES 1. Brough, P. and M.O‟Driscoll (2005), work-family conflict and stree.In research companion to Organizational Health Psychology, eds.A.Antoniou and C.Cooper, 345-365.Cheltenham, UK: Edward Elgar. 2. P. Venkateswari, E. JebithaSteffy, Dr. N. Muthukumaran, 'License Plate cognizance by Ocular Character Perception', International Research Journal of Engineering and Technology, Vol. 5, No. 2, pp. 536-542, February 2018. 3. N. Muthukumaran, Mrs R.Sonya, Dr. Rajashekhara and V. Chitra, 'Computation of Optimum ATC Using Generator Participation Factor in Deregulated System', International Journal of Advanced Research Trends in Engineering and Technology, Vol. 4, No. 1, pp. 8-11, January 2017. 4. B. Renuka, B. Sivaranjani, A. Maha Lakshmi,Dr. N. Muthukumaran, 'Automatic Enemy Detecting Defense Robot by using Face Detection Technique', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 495-501, April 2018. 5. N. Muthukumaran, 'Analyzing Throughput of MANET with Reduced Packet Loss', Wireless Personal Communications, Vol. 97, No. 1, pp. 565-578, November 2017. 6. SRB Prabhu and Sophia S., “Cluster integrated self-forming wireless sensor based system for intrusion detection and perimeter defence applications”, International Journal of Computer Science and Business Informatics, 15(3), 2015. 7. SRB Prabhu, Inigo Mathew A., Rajkumar M., RajkumarRamanujam and Sophia S., “Proposed method to save the soldiers inside the main battle tank via high bandwidth links-remote controlled tank, American Journal of Computer Science and Engineering Survey, 3(6), 2015. 8. SRB Prabhu, Inigo Mathew A., Rajkumar M., RajkumarRamanujam and Sophia S., “Passive method to detect and locate the fault in high tension power lines – line break”, International Journal of Computer Science and Mobile Computing, 4(12), 2015. 9. SRB Prabhu and Rajkumar R., “Effective clustering mechanism when both the sensor nodes and base station are mobile", ARPN Journal of Engineering and Applied Sciences, 11 (5), March 2016. 10. SRB Prabhu and Rajkumar R., “Traffic decongestion in toll plaza using electronic toll collection”, Australian Journal of Basic and Applied Sciences, 9(35), January 2016. 11. R. Sudhashree, N. Muthukumaran, 'Analysis of Low Complexity Memory Footprint Reduction for Delay and Area Efficient Realization of 2D FIR Filters', International Journal of Applied Engineering Research, Vol. 10, No. 20, pp. 16101- 16105, 2015. 12. F.M.AiyshaFarzana, HameedhulArshadh. A, Ganesan. J, Dr. N. Muthukumaran, 'High Performance VLSI Architecture for Advanced QPSK Modems', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 45-49, January 2019. 13. Anil Lamba, “Enhancing Awareness of Cyber-Security and Cloud Computing using Principles of Game Theory”, International Journal of Advanced in Management, Technology and Engineering Sciences, Volume III, Issue I, pp.71-82, 2013. 14. Anil Lamba, “Resolve Security Policies Conflicts Through Semantics Matching Alignment”, International Journal of Scientific Research and Review, Volume 2, Issue 2, pp.43-58, 2013. 15. Anil Lamba, “A Detailed Analysis of Data Security in a cloud Environment”, SURAJ PUNJ Journal for Multidisciplinary Research, Volume 3, Issue 2, pp.43-51, 2013.
  • 10. Our Heritage ISSN: 0474-9030 Vol-68-Issue-30-February-2020 P a g e | 6645 Copyright ⓒ 2019Authors 16. Anil Lamba, Satinderjeet Singh, Natasha Dutta, Sivakumar Sai Rela Muni, “Uses of Different Cyber Security Service to Prevent Attack on Smart Home Infrastructure”, International Journal for Technological Research In Engineering, Volume 1, Issue 11, pp. 5809-5813, July-2014. 17. Anil Lamba, Satinderjeet Singh, Sachin Bhardwaj, Natasha Dutta, Sivakumar Sai Rela Muni, “Uses of Artificial Intelligent Techniques to Build Accurate Models for Intrusion Detection System”, International Journal for Technological Research In Engineering, Volume 2, Issue 12, pp. 5826-5830, August-2015. 18. Anil Lamba, “Protecting “Cybersecurity & Resiliency” of Nation‟s Critical Infrastructure - Energy, Oil & Gas”, International Journal of Current Research Volume 10, Issue, 12, pp.76865-76876, December, 2018. 19. Anil Lamba, “API Design Principles & Security Best Practices – Accelerate your business without compromising security”, Cyber Nomics, Volume-1, Issue-3, pp.21-25, Aug 2019. 20. A.Srinithi, E.Sumathi, K.Sushmithawathi, M.Vaishnavi, Dr. N. Muthukumaran, 'An Embedded Based Integrated Flood Forecasting through HAM Communication', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 63-67, January 2019. 21. SRB Prabhu and Sophia S., „A review of efficient information delivery and clustering for drip irrigation management using WSN‟, International Journal of Computer Science and Business Informatics, 14(3), 2014. 22. SRB Prabhu and Sophia S., „Mobility assisted dynamic routing for mobile wireless sensor networks‟, International Journal of Advanced Information Technology, 3(3), 2013. 23. SRB Prabhu and Sophia S., „A review of energy efficient clustering algorithm for connecting wireless sensor network fields‟, International Journal of Engineering Research and Technology, 2(4), 2013. 24. SRB Prabhu and Sophia S., „Variable power energy efficient clustering for wireless sensor networks‟, Australian Journal of Basic and Applied Sciences, 7(7), 2013. 25. SRB Prabhu and Sophia S., „Capacity based clustering model for dense wireless sensor networks‟, International Journal of Computer Science and Business Informatics, 5(1), 2013. 26. SRB Prabhu and Sophia S., „Hierarchical distributed clustering algorithm for energy efficient wireless sensor networks‟, International Journal of Research in Information Technology, 1(12), 2013. 27. SRB Prabhu and Sophia S., „Real-world applications of distributed clustering mechanism in dense wireless sensor networks‟, International Journal of Computing Communications and Networking, 2(4), 2013. 28. SRB Prabhu and Sophia S., „An integrated distributed clustering algorithm for dense WSNs‟, International Journal of Computer Science and Business Informatics, 8(1), 2013. 29. SRB Prabhu and Sophia S., „A research on decentralized clustering algorithms for dense wireless sensor networks‟, International Journal of Computer Applications, 57(20), 2012. 30. A Research on Dissimilar Categorization of Basic Electrical Generator, OMICS Journal of Electrical & Electronic Systems, Volume 6, Issue 1, February 2017. 31. N. Muthukumaran and R. Ravi, 'Hardware Implementation of Architecture Techniques for Fast Efficient loss less Image Compression System', Wireless Personal Communications, Volume. 90, No. 3, pp. 1291-1315, October 2016. 32. F.M. AiyshaFarzana, HameedhulArshadh. A, Sara Safreen. M, Dr. N. Muthukumaran, 'Design and Analysis for Removing Salt and Pepper Noise in Image Processing', Indo-Iranian Journal of Scientific Research, Vol. 3, No. 1, pp. 42-47, January 2019. 33. Anil Lamba, "Uses Of Cluster Computing Techniques To Perform Big Data Analytics For Smart Grid Automation System", International Journal for Technological Research in Engineering, Volume 1 Issue 7, pp.5804-5808, 2014. 34. Anil Lamba, "A Role Of Data Mining Analysis To Identify Suspicious Activity Alert System”, International Journal for Technological Research in Engineering, Volume 2 Issue 3, pp.5814-5825, 2014. 35. Anil Lamba, "To Classify Cyber-Security Threats In Automotive Doming Using Different Assessment Methodologies”, International Journal for Technological Research in Engineering, Volume 3, Issue 3, pp.5831-5836, 2015. 36. Anil Lamba, “A Study Paper On Security Related Issue Before Adopting Cloud Computing Service Model”, International Journal for Technological Research in Engineering, Volume 3, Issue 4, pp.5837-5840, 2015. 37. 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