244463282-amul-welfare.pdf
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ournal of Business Management & Social Sciences Research (JBM&SSR) ISSN No: 2319‐5614
Volume 2, No.2, February 2013
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Provision Of Welfare Under Factories Act & Its Impact
On Employee Satisfaction
Parul P Bhati, Research scholar, Karpagam University, Coimbatore, Assistant Professor, MBA (HR), IDS,
Nirma University, Ahmedabad, GujaratDr.Ashokkumar M., Professor & Head, Department of Management, Karpagam University, Coimbatore,
Karpagam University, Tamilnadu, India
ABSTARCT This Paper contains the overviews of “ENGINEEIRNG INDUSTRY”. This also contains the different welfare
provisions to be given to the employees under the Factory Act 1948. This paper contains the research on
employee satisfaction towards welfare facilities under the act. This includes the study of 50 employees from
each of the company i.e. Jyoti CNC, Rajoo Engineering, Steel Cast, Atul auto & Amul industries making a total
sample size of 250 employees. In our study we measured the impact of welfare provisions on employee
satisfaction by way of the correlation technique and we also measured that whether any difference in terms of
employee satisfaction towards welfare provision exists by way of using one way Annova test.
Key Terms:
Worker, Washing Facility, First Aid, Canteen, Crèches, Appropriate Government.
1.INTRODUCTIONThe Engineering sector is the largest in the overallindustrial sectors in India. It is a diverse industry
with a number of segments, and can be broadly
categorized into two segments, namely, heavy
engineering and light engineering. The engineering
sector is relatively less fragmented at the top, as thecompetencies required are high, while it is highly
fragmented at the lower end (e.g. unbrandedtransformers for the retail segment) and is
dominated by smaller players.
Gujarat contributes to over 8% of India‘s total
engineering output, and is home to severalindustrial units with operations across the entire
engineering value chain over 300 units in large
sector and over 75,000 units in Small and mediumenterprises (SME) sector (excluding repair and
services). Major production base for sponge iron,
steel pipes and tubes, copper cathode, electrical,
switchgear, transformer and transmission line
towers, heavy fabrication, ship building and autocomponents. 30 out of the 83 product clusters in
the State are dedicated to engineering and autosector.
Major engineering clusters in Gujarat include
foundry, ship breaking, induction furnace industry,
steel re-rolling mills, brass parts, oil engines,fabrication and machine tools, auto components
and SS utensils Hindalco‘s copper smelting andrefining complex at Dahej in Bharuch District is
the world‘s largest copper smelter at a single
location with a capacity of 5,00,000 tones a year.
Engineering industry in Saurashtra region is mainly
concentrated in the areas like Rajkot, Bhavnagar,Jamnagar, some portion of Junagadh & Porbandaretc. Each of these districts has specialties for the
manufacturing of the different engineering
products. The main concentration of engineeringindustry in Saurashtra region is Rajkot & it is very
well supported by other district. Besides Saurashtra
Kutch region is also enriched with the industriesmanufacturing saw pipes, Steel Bars & components
of wind mill.
DISTRICT SPECILAITY MAJOR PLAYERS
Rajkot Auto components, Diesel Engine, CNC
machinery, Casting products
Amul auto, Kadvani forging, Jyoti CNC, Rajoo
engineering, P M Diesels, Forge & Forge, RolexBearing
Bhavnagar Rerolled steel, castings Steel cast, Investment & Precession castings limited
Jamnagar Brass Parts Rajhans Mtal Pvt.ltd, Trupti Brass
2.LITERATURE REVIEWA Sabarirajan, T.Meharajan, B.Arun (2010) in
their study of the Cotton Textile plays a vital role
in human life. Textile industries are one of theimportant industries of India for earning Foreign
Exchange and giving employment to lacks of
workers .Because of being a highly labor intensiveindustry it needs to concentrate more in the area of
employee welfare. In this study we selected Salem
District in Tamil Nadu, India for identifying
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various methods and also to identify theeffectiveness of the methods. The study shows that
15% of the employees are highly satisfied with
their welfare measures. 22 % of the employees are
satisfied with their welfare measures.39% of theemployees is average with their welfare measures.
16% of them are in highly dissatisfied level.Welfare measures plays important role in employeesatisfaction and it results in improved quality of
work life. This study throws light on the impact of
welfare measures on QWL among the employees
of textile mills in Salam district.
B D Singh (Industrial Relations and LabourLaws)Excel (2008) Edition This legislation is
being enforced by technical officers i.e. Inspectors
of Factories, Dy. Chief Inspectors of Factories whowork under the control of the Chief Inspector of
Factories and overall control of the Labour
Commissioner, Government of National CapitalTerritory of Delhi. The Factories Act, is a social
legislation which has been enacted for occupationalsafety, health and welfare of workers at work places. In India the first Factories Act was passed
in 1881. This Act was basically designed to protect
children and to provide few measures for health
and safety of the workers. This law was applicable
to only those factories, which employed 100 or
more workers. On the basis of therecommendations of the Factory Labour
Commission, more comprehensive Law wasintroduced in 1911, which got amended in 1923,
1926 and 1931 With the amendments made by
Royal Commission of Labour (1931),
Comprehensive Factory Act, 1934 was introduced.
Shobha Mishra and Dr Manju Bhagat (2007) intheir article discuss labour welfare activities in an
industrialized society has far reaching impact notonly on the work force but also all the facets of
human resources. Labour welfare includes all such
activities, which not only secures existential
necessities but also ensures improvement in
spiritual and emotional quotient. It comprises ofshort term and long terms goal toward building a
humane society. As labour welfare is a dynamic
concept, changes in its principles activities and therationale supporting them have not been static.
They closely follow the stages of advancement of
the industrialized society – from police Theory to
Functional Theory. Accordingly principles forsuccessful implementation of labour welfare
activities ranges from adequacy of wages to impact
on efficiency as well as transformation of personality in nut shell, it is extension of
democratic values in an industrialized society.
Kwong-leung Tang and Chau-kiu Cheung(2007) studies that employs survey data from1240welfare recipients in Hong Kongto investigate the
effectiveness of various measures for raising the
recipients‘ work motivation and diminishing their
welfare dependency. The measures examinedinclude the Intensive Employment Assistance
Project (IEAP), Community Work (CW) Program
and Disregarded Earnings (DE) arrangements.
Findings reveal the effectiveness of these threemeasures. Particularly, help received from various
services of the IEAP was the principal factor in theeffectiveness of the IEAP and the IEAP waseffective for welfare recipients who were older or
less skilled. The findings thus offer support to thegenerality of the claim about the effectiveness of
welfare-to-work programs.
C. P. John (2004) studied in the paper the largegaps existing between the rich and the poor and the
unorganized workers and the organized workers
have led in several countries to attempts at providing social and economic security to the poor
and to the unorganized sectors. In Kerala, the
introduction of modern techniques of productionand the growth of capitalist production relations
had important implications for the traditional craftsas well as craftsman in Kerala. One of itsimplications has been the breakdown of the
conventional social security set-up. Craftsmen in
Kerala belonged to a specific caste group, namely,
Kammala or Viswakarma. The social security
system among craftsmen was embedded in the craft
and caste traditions and practices. The customs and practices of the craft as well as of caste groups
were eroded in the processes of change thattransformed caste-based occupational traditions
and the social structure itself.
3.RESEARCH METHODOLOGY
3.1 RESEARCH PROBLEM Welfare provisionsof Factories Act 1948 are important as far as the
nature of the work in the engineering industries isconcerned. It may happen that the employees
working in the engineering industry are not
satisfied with the welfare provisions provided
under Factories Act 1948. ―So our study will aim
at studying the satisfaction level of theemployees.
3.2 OBJECTIVES OF RESEARCH
1. To review the welfare provisions extended to theemployees in Jyoti CNC, Rajoo engineering, steel
cast, Atul Auto & Amul industries.
2. To identify whether any relation exists between
welfare provisions & Employee satisfaction.3.3 HYPOTHESIS Hypothesis for studying the relationship
existence between welfare provisions &
Employee satisfaction. Null Hypothesis (Ho): The welfare provision &
employee satisfaction are corelated. Alternate
Hypothesis (Ha): The welfare provisions &
employee satisfaction are unrelated. This
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hypothesis is tested by considering each & everywelfare provisions individually.
Hypothesis for comparing satisfaction level
among all five companies due to welfareprovisions extended to employees. Null Hypothesis (Ho): There is no significance
difference in employee satisfaction among fivecompanies. Alternate Hypothesis (Ha): There issignificance difference in employee satisfaction
among five companies. This hypothesis is tested by
considering each & every welfare provisions
individually.
3.4 RESEARCH DESIGNFor research we select the entire Engineering
industry of Saurashtra region as population of our
study and select five engineering companies i.e.Jyoti CNC, Rajoo Engineering, Steel Cast, Atul
Auto & Amul industries by judgmental sampling.
“From the above five companies we select
sample size of 50 employees from each of the
company i.e. 250 as our total sample size of thestudy by simple random sampling.” The data is
collected using primary data collection toolquestionnaire.
TEST APPLICATION: In our study we useCorrelation & One Way ANNOVA for ourobjective analysis. The test is conducted at 5%
level of significance.
4 DATA ANALYSIS &INTERPRETATIONOn the basis of data collected we got the following
outcome. Data chart of welfare provisions co-relate
with employee satisfaction of five companies as below
.
Chart 2
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Chart 3
Chart 4
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5 HYPOTHESIS TESTINGFor identifying relation between the welfare provisions & employee satisfaction by applying
Correlation Analysis for each welfare provisions.
1. For washing facility.
Null Hypothesis (Ho): The Washing facility &
employee satisfaction are co – related.
Alternate Hypothesis (Ha): The Washing facility &employee satisfaction are un - related
.
Table 1
Washing Facilities Job Satisfaction
Highly satisfied 116 97
Satisfied 80 59Moderate 35 67
Dissatisfied 14 21
Highly Dissatisfied 5 6
TOTAL 250 250
Washing Facilities Job satisfaction
Washing Facilities 1 0.977678273
Job satisfaction 0.977678273 1
From the above table Variable X: washing facility
Variable Y: Job satisfaction
This Correlation table shows there is positive
relationship between washing facility & employee
satisfaction & the inferred value is 0.977.
So the null hypothesis gets accepted & hence
proved that the washing facility & employeesatisfaction are correlated.
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2. Storing & drying Facility Null Hypothesis (Ho): The Washing facility &
employee satisfaction are co – related.
Alternate Hypothesis (Ha): The Washing facility &employee satisfaction are un - related.
Table 2
Storing & Drying Job Satisfaction
Highly satisfied 51 97Satisfied 135 59
Moderate 58 67
Dissatisfied 6 21
Highly Dissatisfied 0 6
250 250
Storing & Drying Job Satisfaction
Storing & Drying 1 0.558238634
Job Satisfaction 0.558238634 1
From the above table Variable X: storing & drying facilityVariable Y: Job satisfaction
This Correlation table shows there is positive
relationship between storing & drying facility &employee satisfaction & the inferred value is 0.558.
So the null hypothesis gets accepted & hence
proved that the storing & drying facility &employee satisfaction are correlated.
3. Sitting Arrangement during work Null Hypothesis (Ho): The sitting arrangementfacility & employee satisfaction are co – related.
Alternate Hypothesis (Ha): The sitting arrangement
facility & employee satisfaction are un - related.
Table 3
Facility for sitting Job Satisfaction
Highly satisfied 18 97
Satisfied 82 59
Moderate 143 67Dissatisfied 6 21
Highly Dissatisfied 1 6
250 250
Facility for sitting Job Satisfaction
Facility for sitting 1 0.423138985
Job Satisfaction 0.423138985 1
From the above table Variable X: sitting arrangement facility
Variable Y: Job satisfaction
This Correlation table shows there is positiverelationship between sitting arrangement facility &employee satisfaction & the inferred value is 0.423.
So the null hypothesis gets accepted & hence
proved that the sitting arrangement facility &
employee satisfaction are correlated.
4.
First Aid facility Null Hypothesis (Ho): The First Aid facility &employee satisfaction are co – related.
Alternate Hypothesis (Ha): The First Aid facility &
employee satisfaction are un - related.
Table 4
First Aid Job Satisfaction
Highly satisfied 135 97
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Satisfied 82 59
Moderate 22 67
Dissatisfied 7 21
Highly Dissatisfied 4 6
250 250
First Aid Job Satisfaction
First Aid 1 0.848305
Job Satisfaction 0.848305 1
From the above table Variable X: first aid facility
Variable Y: Job satisfaction
This Correlation table shows there is positive
relationship between first aid facility & employee
satisfaction & the inferred value is 0.848. So thenull hypothesis gets accepted & hence proved that
the first aid facility & employee satisfaction arecorrelated.
5. Canteen facility Null Hypothesis (Ho): The canteen facility &
employee satisfaction are co – related.Alternate Hypothesis (Ha): The canteen facility &
employee satisfaction are un - related.
Table 5
Canteen Job Satisfaction
Highly satisfied 177 97
Satisfied 53 59
Moderate 15 67
Dissatisfied 5 21
Highly Dissatisfied 0 6
250 250
Canteen Job SatisfactionCanteen 1 0.822544
Job Satisfaction 0.822544 1
From the above table Variable X: canteen facility
Variable Y: Job satisfaction
This Correlation table shows there is positive
relationship between canteen facility & employeesatisfaction & the inferred value is 0.822. So the
null hypothesis gets accepted & hence proved that
the canteen & employee satisfaction are correlated.
6. Shelters, lunch room, restroomFor comparing the level of the employee
satisfaction among these five companies due to
welfare provisions by applying One Way Annova
test at 5% level of significance. Null Hypothesis (Ho): The shelters, lunchroom,
restroom facility & employee satisfaction are co –
related.Alternate Hypothesis (Ha): The shelters,
lunchroom, restroom facility & employee
satisfaction are un - related.
Table 6
Lunch room,restroom Job Satisfaction
Highly satisfied 42 97
Satisfied 151 59
Moderate 40 67
Dissatisfied 14 21
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Highly Dissatisfied 3 6
250 250
Lunch room,restroom Job Satisfaction
Lunch room,restroom 1 0.403177506Job Satisfaction 0.403177506 1
From the above table Variable X: shelters, lunchroom, and restroom facility
Variable Y: Job satisfaction
This Correlation table shows there is positive
relationship between shelters, lunchroom, restroom
facility & employee satisfaction & the inferredvalue is 0.403. So the null hypothesis gets accepted
& hence proved that the shelters, lunchroom,
restroom & employee satisfaction are correlated.
7. Crèches or baby care facility.
In our study none of the organization gets affected
by this provision given under Factories Ac 1948
because of not having 30 or more than 30 women
employees.
8. Welfare officer Null Hypothesis (Ho): The welfare officer facility
& employee satisfaction are co – related.Alternate Hypothesis (Ha): The welfare officer
facility & employee satisfaction are un - related.
Table 7
Welfare Officer Job Satisfaction
Highly satisfied 3 97
Satisfied 34 59
Moderate 171 67
Dissatisfied 39 21
Highly Dissatisfied 3 6
250 250
Welfare Officer Job Satisfaction
Welfare Officer 1 0.204941685Job Satisfaction 0.204941685 1
From the above table Variable X: welfare officer facility
Variable Y: Job satisfaction
This Correlation table shows there is positiverelationship between welfare officer facility &
employee satisfaction & the inferred value is 0.204.
So the null hypothesis gets accepted & hence proved that the welfare officer & employee
satisfaction are correlated.
Comparing the level of the employee satisfactionamong Jyoti CNC, Rajoo engineering, Steel cast,
Atul auto & Amul Industires due to welfareprovisions.
1. For washing facility. Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due towashing facility given by company.
Alternate Hypothesis (Ha): There is significance
difference in the employee satisfaction due to
washing facility given by company.
Table 8
Washing Facilities
Jyoti Rajoo Steel Cast Atul Amul
Highly satisfied 125 135 100 90 130
Satisfied 68 48 80 68 56
Moderate 15 18 24 27 21
Dissatisfied 4 6 4 10 4
Highly Dissatisfied 1 2 0 1 1
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From the above test the calculated value which is
0.0020 is less than tabular value i.e. 2.87 so our
Null hypothesis gets accepted.So there is no
significance difference in the employee satisfaction
due to washing facility given by company.
Storing & drying Facility
Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due tostoring & drying facility given by company.
Alternate Hypothesis (Ha): There is significance
difference in the employee satisfaction due to
storing & drying facility given by company.
Table 9
Storing & Drying
Jyoti Rajoo Steel Cast Atul Amul
Highly satisfied 50 80 25 30 70
Satisfied 108 76 144 116 96
Moderate 30 39 27 42 36
Dissatisfied 6 4 0 2 0
Highly Dissatisfied 0 0 0 0 0
Source of Variation SS Df MS Fc Ft
Between 16.96 4 4.24 0.0019 F(4,20)= 2.87
Within 43944.56 20 2197.22
Total 43961.52 24
From the above test the calculated value which is
0.0019 is less than tabular value i.e. 2.87 so our
Null hypothesis gets accepted.
So there is no significance difference in the
employee satisfaction due to storing & dryingfacility given by company.
Sitting Arrangement during work
Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due to
sitting arrangement facility given by company.
Alternate Hypothesis (Ha): There is significance
difference in the employee satisfaction due tositting arrangement facility given by company.
Table 10
Facility for sitting
Jyoti Rajoo Steel Cast Atul Amul
Highly satisfied 15 25 15 15 20
Satisfied 60 68 56 64 80
Moderate 96 78 87 90 78
Dissatisfied 0 4 8 0 0
Highly Dissatisfied 0 0 0 1 0
Source of
VariationSS df MS Fc Ft
Between 37.04 4 9.26 0.0020 F(4,20)=2.87
Within 91012.22 20 4550.61
Total 91049.26 24
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Source of Variation SS df MS Fc Ft
Between 17.20 4 4.3 0.0027 F(4,20)= 2.87
Within 31106 20 1555.3
Total 31123.2 24
From the above test the calculated value which is0.0027 is less than tabular value i.e. 2.87 so our
Null hypothesis gets accepted.
So there is no significance difference in theemployee satisfaction due to sitting arrangement
facility during work given by company.
2. First Aid facility Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due to first
aid facility given by company.Alternate Hypothesis (Ha): There is significance
difference in the employee satisfaction due to first
aid facility given by company
.
Table 11
First Aid
Jyoti Rajoo Steel Cast Atul AmulHighly satisfied 130 155 115 130 145
Satisfied 72 60 64 60 72
Moderate 15 12 18 15 6
Dissatisfied 0 0 6 8 0
Highly Dissatisfied 1 0 2 0 1
Source of Variation SS Df MS Fc Ft
Between 61.84 4 15.46 0.0045 F(4,20)= 2.87
Within 67536.23 20 3376.81
Total 67598.07 24
From the above test the calculated value which is
0.0045 is less than tabular value i.e. 2.87 so our
Null hypothesis gets accepted.So there is no significance difference in the
employee satisfaction due to first aid facility given
by company.
3. Canteen facility
Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due tocanteen facility given by company.
Alternate Hypothesis (Ha): There is significance
difference in the employee satisfaction due tocanteen facility given by company.
Table 12
Canteen
Jyoti Rajoo Steel Cast Atul AmulHighly satisfied 200 180 145 195 165
Satisfied 24 40 68 24 56
Moderate 9 12 12 12 0
Dissatisfied 2 0 0 2 6
Highly Dissatisfied 0 0 0 0 0
Source of Variation SS Df MS Fc Ft
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Between 14.24 4 3.56 0.0006 F(4,20)= 2.87
Within 116659.8 20 5832.99
Total 116674.04 24
From the above test the calculated value which is
0.0006 is less than tabular value i.e. 2.87 so our Null hypothesis gets accepted.
So there is no significance difference in the
employee satisfaction due to canteen facility given
by company.
4. Shelters, lunch room, restroom
Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due toshelter, restroom & lunchroom facility given by
company.
Alternate Hypothesis (Ha): There is significance
difference in the employee satisfaction due toshelter, restroom & lunchroom facility given by
company.
Table 13
Lunch room,restroom
Jyoti Rajoo Steel Cast Atul Amul
Highly satisfied 25 40 35 50 60
Satisfied 144 116 120 120 104
Moderate 18 30 27 18 27
Dissatisfied 2 6 6 8 6
Highly Dissatisfied 2 0 1 0 0
Source of Variation SS Df MS Fc Ft
Between 9.2 4 2.3 0.0009 F(4,20)= 2.87
Within 49296 20 2464.8
Total 49305.2 24
From the above test the calculated value which is
0.0009 is less than tabular value i.e. 2.87 so our
Null hypothesis gets accepted.
So there is no significance difference in the
employee satisfaction due to shelter, restroom &lunchroom facility given by company
5.
Crèches or baby care facility.In our study none of the organization gets affected
by this provision given under Factories Ac 1948
because of not having 30 or more than 30 women
employees.
6. Welfare officer
Null Hypothesis (Ho): There is no significance
difference in the employee satisfaction due towelfare officer facility given by company.
Alternate Hypothesis (Ha): There is significancedifference in the employee satisfaction due to
welfare officer facility given by company.
Table 14
Welfare Officer
Jyoti Rajoo Steel Cast Atul Amul
Highly satisfied 10 5 0 0 0
Satisfied 20 40 24 12 40
Moderate 108 87 90 129 99
Dissatisfied 14 18 28 8 10
Highly Dissatisfied 0 1 0 0 2
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Source of Variation SS Df MS Fc Ft
Between 13.2 4 3.3 0.0017 F(4,20)= 2.87
Within 37461.27 20 1873.06
Total 37474.47 24
From the above test the calculated value which is0.0017 is less than tabular value i.e. 2.87 so our
Null hypothesis gets accepted.
So there is no significance difference in theemployee satisfaction due to welfare officer facility
given by company
6. IMPLICATION OF STUDYThis study can be implied in any of the industry asa tool for identifying the employee tendency &
belief towards the welfare provisions. One can
know the requirement of the workers in terms ofdifferent non financial motivational tools by
implying this study. This study can be useful for
identifying the factors which leads to employeesatisfaction so that company can use those factors
as retention tool for retaining employees in the
organization.
7. LIMITATION OF STUDY1. Few of the respondents hesitated to give thecorrect information.
2. Few respondents hesitated to give opinion
against their management.
3. The period of the study was limited.
4. The validity of the study depends up on thereliability of the primary data.
5. Due to the size of the organizations in the
Saurashtra region put curse on some welfare provisions to be implemented which leads to
inconsideration in our study i.e. Having less than
30 no. of women employees leads to deduction of
the organization from following the provision ofgiving Creches facility to women employees.
8.SCOPE OF FUTURE STUDYThis study can be used in future for analyzing thewelfare provisions & its impact on employee
satisfaction in different area as we had done in
engineering industry. This study also can be takenas a reference for studying the other provisions of
the different acts as well as of same act like
provision for safety, health, etc. And can be studiedwith reference to employee satisfaction.
9. FINDINGS & SUGESSTIONSFrom our study of PROVISION OF WELFARE
UNDER FACTORIES ACT & ITS IMPACT ON
EMPLOYEE SATISFACTION we suggest that
the provisions provided to the employees in eachindustry should always be made more beneficiary
for their welfare. So , for this each industry should
appoint the welfare officer who can take better carefor the welfare facility of the employees in an
industry. From our study we have found out that
the employees have positive attitude towards their
industry for the welfare provisions.
10. CONCLUSION Our research study conclude in terms of proving
that the different welfare provisions provided to theemployees working in an organization under
Factories Act 1948 are having positive relation
with the employee satisfaction. In our study afteranalyzing the Correlation between these two
factors gives the result. The reason behind this
result is that these are the factors that lead tosatisfaction & if they are not present can sometimes
lead to dissatisfaction i.e. on basis of Herzberg’s
theory of motivation.
Study also gives the outcome on basis of the One
Way Annova test that the welfare provisions givento employees in five companies i.e. Jyoti CNC,
Rajoo Engineering, Steel Cast, Atul auto & Amul
Industries dose not have significant difference inthe employee satisfaction level.
The reason behind the acceptance of hypothesis &
getting the above result is that the companies underour study follows or provides more or less same
kind of the welfare provisions to their employees.
The companies who are giving the provisions totheir employees vary slightly. E.g. in canteen
provision variation is in terms of the rate at which
they provide food, the quality of food, test etc. In
the same manner the shelter, restroom &
lunchroom facility vary in terms of the location, its
ambiance etc.
REFERENCES[1] Agarwala (2004). From ‗ Work to Welfare:
The State and Informal Workers
‘Organizations in India. American Political
Science Association Annual Meeting, Chicago,
Illinois
[2] Frieda Fuchs(2005). The Effects of Protective
Labor Legislation on Women‘s Wages and
Welfare: Lessons from Britain and France.
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