chapter 1 full
TRANSCRIPT
INTRODUCTION
1.1 INTRODUCTION ABOUT THE STUDY
Employee engagement has been defined as "an individual employee's cognitive,
emotional and behavioural state directed toward desired organizational
outcomes" Employees who are engaged exhibit attentiveness and mental
absorption in their work and display a deep, emotional connection toward their
workplace .Many organizations believe that employee engagement is a
dominant source of competitive advantage and thus, have been drawn to its
reported ability to solve challenging organizational problems such as increasing
workplace performance and productivity amid widespread economic decline .
Employee engagement is the extent to which employees feel passionate about
their jobs, are committed to the organization, and put discretionary effort into
their work. According to Scarlett Surveys, "Employee Engagement is a
measurable degree of an employee's positive or negative emotional attachment
to their job, colleagues and organization that profoundly influences their
willingness to learn and perform at work". Thus engagement is distinctively
different from employee satisfaction, motivation and organisational culture.
Employee engagement is typically measured using an employee engagement
survey. There are four factors that drive employee engagement. They are,
Engagement with the Organization measures how engaged employees are
with the organization as a whole, and by extension, how they feel about senior
management. i.e., doing meaningful work.
Engagement with "My colleagues” is a more specific measure of how
employees feel about their direct supervisors.
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Enagement with “Strategic Alignment” ensures that employee effort is
focused in the right direction. If that effort is not focused in the right direction,
it could be wasted. i.e., doing focused work.
Drivers of engagement
There are a range of factors, known as drivers that are thought to increase
overall engagement. By managing the drivers, an organization can effectively
manage engagement levels of its employees. Drivers such as communication,
performance clarity and feedback, organizational culture, rewards and
recognition, relationships with managers and peers, career development
opportunities and knowledge of the organization’s goals and vision are some of
the factors that facilitate employee engagement. Some points from the research
are presented below:
* Employee perceptions of job importance - "...an employee's attitude toward
the job's importance and the company had the greatest impact on loyalty
and customer service than all other employee factors combined."[
* Employee clarity of job expectations - "If expectations are not clear and
basic materials and equipment are not provided, negative emotions such as
boredom or resentment may result, and the employee may then become focused
on surviving more than thinking about how he can help the organization
succeed."
* Career advancement/improvement opportunities - "Plant supervisors and
managers indicated that many plant improvements were being made outside the
suggestion system, where employees initiated changes in order to reap the
bonuses generated by the subsequent cost savings."
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* Quality of working relationships with peers, superiors, and subordinates -
"...if employees' relationship with their managers is fractured, then no amount of
perks will persuade the employees to perform at top levels. Employee
engagement is a direct reflection of how employees feel about their relationship
with the boss."
* Perceptions of the ethos and values of the organization - "'Inspiration and
values' is the most important of the six drivers in our Engaged Performance
model. Inspirational leadership is the ultimate perk. In its absence, is unlikely
to engage employees.”
* Effective Internal Employee Communications - which convey a clear
description of "what's going on". "'If you accept that employees want to be
involved in what they are doing then this trend is clear (from small businesses to
large global organizations).
* Reward to engage - Look at employee benefits and acknowledge the role of
incentives. "An incentive to reward good work is a tried and test way of
boosting staff morale and enhancing engagement." There are a range of tactics
you can employ to ensure your incentive scheme hits the mark with your
workforce such as: Setting realistic targets, selecting the right rewards for your
incentive program, communicating the scheme effectively and frequently, have
lots of winners and reward all achievers, encouraging sustained effort, present
awards publicly and evaluate the incentive scheme regularly. It further tends to
improve the overall productivity.
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1.2. INDUSTRY PROFILE
INDIAN DAIRY INDUSTRY
India is 'The Oyster' of the global dairy industry. It offers opportunities galore to
entrepreneurs worldwide, who wish to capitalize on one of the world's largest
and fastest growing markets for milk and milk products.
The Indian dairy industry is rapidly growing, trying to keep pace with the
galloping progress around the world. India’s dairy sector is expected to triple its
production in the next 10 years in view of expanding potential for export to
Europe and the West. Moreover with WTO regulations expected to come into
force in coming years all the developed countries which are among big
exporters today would have to withdraw the support and subsidy to their
domestic milk products sector. Also India today is the lowest cost producer of
per litre of milk in the world, at 27 cents, compared with the U.S' 63 cents, and
Japan’s $2.8 dollars. Also to take advantage of this lowest cost of milk
production and increasing production in the country multinational companies
are planning to expand their activities here. Some of these milk producers have
already obtained quality standard certificates from the authorities. This will help
them in marketing their products in foreign countries in processed form.
The dairy industry in India has been on a steady path of progression since
Indian independence. It has grown from producing 17 million tonnes of milk in
1951 to producing 121 million tonnes in 2011. Today, India is one of the largest
milk producing countries in the world. This solid progress is primarily
attributable to structural changes in the Indian dairy industry brought about by
the advent of dairy cooperatives.
The Indian dairy industry reported a market size of USD 48.5 billion in
FY2011. With a Compound Annual Growth Rate (CAGR) of 16 percent, it is
anticipated to reach USD 118 billion in 2017. On the back of a rise in
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disposable income, coupled with strong demand for dairy products, the Indian
dairy industry is all set to experience high growth rates in the next five years.
The consumption pattern of dairy products in India is quite unique as compared
to some of the western countries. Consumption is primarily skewed towards
traditional products; however, westernized products are gradually gaining
momentum in the urban areas. Interestingly, buffalo milk accounts for the
largest share of the total milk produced in the country. Since the pricing of milk
is based on the fat content, buffalo milk offers higher profit margins as
compared to cow milk as it contains higher fat.
Potential for further growth
Of the three A's of marketing - availability, acceptability and affordability,
Indian dairying is already endowed with the first two. People in India love to
drink milk. Hence no efforts are needed to make it acceptable. Its availability is
not a limitation either, because of the ample scope for increasing milk
production, given the prevailing low yields from dairy cattle. It leaves the third
vital marketing factor affordability. How to make milk affordable for the large
majority with limited purchasing power? That is essence of the challenge. One
practical way is to pack milk in small quantities of 250 ml or less in polythene
sachets. Already, the glass bottle for retailing milk has given way to single-use
sachets which are more economical. Another viable alternative is to sell small
quantities of milk powder in mini-sachets, adequate for two cups of tea or
coffee.
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Major Players
The packaged milk segment is dominated by the dairy cooperatives. Gujarat Co-
operative Milk Marketing Federation (GCMMF) is the largest player. All other
local dairy cooperatives have their local brands (For e.g. Gokul, Warana in
Maharashtra, Saras in Rajasthan, Verka in Punjab, Vijaya in Andhra Pradesh,
Aavin in Tamil Nadu, etc). Other private players include J K Dairy, Heritage
Foods, Indiana Dairy, Dairy Specialties, etc. Amrut Industries, once a leading
player in the sector has turned bankrupt and is facing liquidation.
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1.3. COMPANY PROFILE
The Dairy Development Department was established in Tamil Nadu in the year
1958 to oversee and regulate milk production and commercial distribution in the
state. The Dairy Development Department took over control of the milk
cooperatives. It was replaced by the Tamil Nadu Cooperative Milk Producers
Federation Limited in the year 1981.
On February 1, 1981, the commercial activities of the cooperative were handed
over to Tamil Nadu Co-operative Milk Producers' Federation Limited which
sold milk and milk products under the trademark "aavin".
With many private companies entering the field of dairy, the Tamil Nadu
government is giving high priority to improve the performance of the
cooperatives. TamilNadu is one of the leading states in India in milk production
with about 14.5 million litres per day.
ACTIVITIES
Tamilnadu Co-Operative Milk Producers' Federation Limited was constituted
on 1st February 1981. Federation is Procuring, Processing and Marketing of
Milk and Milk Products. Federation has implemented the Dairy Development
activities under Operation Flood Programme with a financial and technical
assistance of National Dairy Development Board. Chennai Metro is having 4
Dairies. Milk Procurement, Processing and distribution are being attended by
the District Unions in the respective areas. Federation is carrying out
improvements of milch animals, Production of frozen semen for White cattle
and Black cattle by the Federation through Bull Mother Farms. Metro Dairies
are,
1. Central Dairy, Madhavaram Milk Colony, Chennai – 600 051 with a capacity
of 3.0 LLPD
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2. Ambattur Dairy, Chennai – 600 098 with a capacity of 4.0 LLPD
3. Sholinganallur Dairy, Chennai – 600 119 with a capacity of 4.0 LLPD
4. Products Dairy, Ambattur, Chennai – 600 098
All the 4 Dairies are carrying out Processing, Packing and Distribution of Milk
and Milk Products as per HACCP, MMPO and NDDB Norms. Ambattur Dairy
is Producing Sterilized Flavoured Milk in four different flavours. Products
Dairy, Ambattur is Preparing the following Milk Products, with a capacity of
12,000 Litres per day.
Milk Products
Aavin produces 4 varieties of milk.
1. Toned milk (3% Fat)
2. Doubled toned milk (1.5%)
3. Standardized Milk (4.5%)
4. Full Cream Milk (6%)
Federation supervises, co-ordinates and offers technical assistance to the District
Unions and Primary Co-operative Societies. It undertakes Planning,
Procurement, Erection and Expansion of Chilling Centers and Dairies to the
District Unions on Turn-key basis. Federation also implements clean Milk
Production, Development of Milch animals providing basic infrastructure
development activities for the Primary Co-operative Societies. Federation
markets Milk and Milk Products to the Co-operative Federations in India.
Federation has taken steps to promote exports of Skimmed Milk Powder and
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Ghee to Srilanka, Malaysia and Singapore
Central Dairy, Madhavaram Milk Colony, Chennai – 600 051
Central Dairy is situated in North Chennai and Commissioned during January
1963 (20.01.1963) at a total outlay of Rs.44/- Lakhs to Process and Sell Milk to
the city consumers. The foundation was laid on 15.10.1959 by Shri.S.K.Patil,
Minister for Food and Agriculture, Government of India. The Plant and
Machineries were gifted by the Government and the people of New Zealand
under Colombo plan. Central Dairy started the operations under the control of
Madras Milk Dairy Project which was converted as Dairy Development
Department under the control of Commissioner for Milk Production and Dairy
Development Department. Commissioner for Milk Production and Dairy
Development is also the Registrar of Milk Co-operatives. The Tamilnadu Dairy
Development Corporation was formed under Companies Act on 01.07.1972 and
taken over the Dairy Units, Transport and other commercial activities of Dairy
Development Department. Madurai Dairy was taken over by Tamilnadu Dairy
Development Corporation w.e.f. 01.07.1974. Tamilnadu Dairy Development
Corporation has given birth to TCMPF Ltd. (The Tamilnadu Co-Operative Milk
Producers' Federation Limited) Act on 01.01.1981 on the “Amul” Pattern of
National Dairy Development Board.
QUALITY POLICY
TCMPF is committed to supply milk, and milk products of quality at
competitive price.
Central Dairy ‘s present handling capacity is 3.0 Lakh Litres per day,
despatches 2.7 Lakh Litres per day in sachets, 0.2 Lakh Litres per day to Bulk
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Vending Units and 0.10 Lakh Litres per day Pasteurized Chilled water to
Products Dairy.
Dairy is equipped with latest Processing Plant, Homogenizer, CIP System and
Packing Machines. Dairy is having Solar panels to heat the feed water to the
Boilers. The Dairy caters the needs of North, Central and parts of South
Chennai. The distributions spread from Ponneri to Mylapore in Chennai City.
The Dairy is equipped with latest Effluent Treatment Plant to handle 3.0 Lakh
Litres per day. The Effluent Treatment Plant functions as per the norms of the
Tamilnadu Pollution Control Board and Treated Effluent Water is utilized for
Agriculture and Garden purpose within the Dairy and also to the Fodder Farm
of the Dairy Development Department
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1.4. NEED FOR THE STUDY
In this world of tough competition, organizations need to sustain high level of
performance at any cost. With the present situation, organizations are striving
hard to sustain themselves and to retain the efficient employees. The need for
studying the employee engagement is very much fel under the assumption that
the employee who is engaged to his or her work is very much committed and
loyal to the organization. If an employee is highly engaged in his or her work, it
may increase their performance and hence there will be an increase in the
productivity of the organization.
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1.5. SCOPE OF THE STUDY
The study intends to study the level of employee engagement in Aavin-Central
Dairy. The study concentrates on the opinion of the factors that determine the
engagement of the employee. This will also act as a path finder for further
development in Aavin-Central Dairy.
This study educated how effectively employee engagement process can be
followed and brings out the awareness on various methods to increase the
engagement level of the employee.
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1.6. OBJECTIVES OF THE STUDY
To study the demographic profile of the organization
To measure the level of employee engagement at Aavin-Central Dairy
To identify the factors that make an employee engaged to the
organization
To propose suggestions to improve engagement if required
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1.7. LIMITATION OF THE STUDY
Questionnaires were filled by the respondents, so the findings are based
on how they would have perceived the questions.
There may be errors due to bias of respondent, as they would not reveal
actual details.
Since the study is conducted in Central dairy branch of Aavin, the results
of the company cannot be generalized to other units of Aavin in
TamilNadu.
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2. REVIEW OF LITERATURE
2.1 LITERATURE REVIEW
Employee engagement, also called worker engagement, is a business
management concept. An "engaged employee" is one who is fully involved in,
and enthusiastic about their work, and thus will act in a way that furthers
their organization's interests.
According to Scarlett Surveys, "Employee Engagement is a measurable
degree of an employee's positive or negative emotional attachment to their job,
colleagues and organization that profoundly influences their willingness to learn
and perform at work". Thus engagement is distinctively different from
employee satisfaction, motivation and organisational culture.
Kanungo(1982),maintained that job involvement is a cognitive or belief state of
psychological identification. Job involvement is thought to depend on both need
saliency and the potential of a job to satisfy these needs. Thus job involvement
results from cognitive judgment about the needs satisfying abilities of the
job.Engagement differs from job involvement as it is concerned more with how
the individual employees his/her self during the performance of his/her
job.Finally engagement may be thought of as an antecedent to job involvement
in that individuals who experience deep engagement in their roles should come
to identify with their jobs.
Employee engagement was described in the academic literature by Schmidt et
al. (1993). A modernised version of job satisfaction, Schmidt et al.'s influential
definition of engagement was "an employee's involvement with, commitment
to, and satisfaction with work. Employee engagement is a part of employee
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retention." This integrates the classic constructs of job satisfaction (Smith et al.,
1969), and organizational commitment (Meyer & Allen, 1991).
Harter and Schmidt's (2003) most recent meta-analysis can be useful for
understanding the impact of engagement. The opposite of employee
engagement is a zombie employee. A zombie employee is a disengaged
employee that will stumble around the office, lower morale and cost the
company money.
According to SHRM (Society of Human Resource Management) the cost of
replacing one $8 per hour employee can exceed $3,500, which gives companies
a strong financial incentive to maintain their existing staff members through
strong employee engagement practices.
Engaged employees care about the future of the company and are willing to
invest discretionary effort. Engaged employees feel a strong emotional bond to
the organisation that employs them (Robinson), which results in higher
retention levels and productivity levels and lower absenteeism. When reliably
measured, positive employee engagement can be causally related or correlated
to specific positive business outcomes by workgroup and job type.
Eileen Appelbaum and her colleagues (2000) studied 15 steel mills, 17
apparel manufacturers, and 10 electronic instrument and imaging equipment
producers. Their purpose was to compare traditional production systems with
flexible high-performance production systems involving teams, training, and
incentive pay systems. In all three industries, the plants utilizing high-
involvement practices showed superior performance. In addition, workers in the
high-involvement plants showed more positive attitudes, including trust,
organizational commitment and intrinsic enjoyment of the work.[7] The concept
has gained popularity as various studies have demonstrated links
with productivity. It is often linked to the notion of employee voice
and empowerment.
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JOURNALS AND ARTICLES
Exploring employee engagement from the employee perspective:
implications for HRD, Kahn and Maslow,2011
The paper examined an employee's unique experience of being engaged in their
work Post analysis, three themes emerged: relationship development and
attachment to co-workers, workplace climate and opportunities for learning.
Findings highlighted the development of relationships in the workplace, the
importance of an employee's direct manager and their role in shaping
organizational culture and the critical role of learning in an engaged employee's
interpretation of their work. Three propositions for human resource
development (HRD) research and practice are presented: first, environment and
person interact to create engagement or disengagement; second, an employee's
manager plays a critical role in developing engagement; and third, personality
can effect engagement, however, everyone can engage. An integrated model is
proposed as a synthesis of findings providing HRD researchers and
practitioner's opportunity to re-examine current engagement efforts.
According to K.Mallikarjunan, along with common financial incentives like
increments, bonuses and other pre-requisites, a conductive atmosphere in the
workplace also raises the employee to the level of an “Engaged Employee”, as
he feels wanted and respected in the warmth of such a business ambience and
develops a sense of trust in the employee. Aristotle the Greek philosopher said
that,” pleasure in the job puts the perfection in the work, “Arguably, it may be
interpreted as the significant statement that spotlights, the value of a satisfied,
motivated and committed workforce. The survey conducted by Business Today
clearly identifies six typical drivers of employee engagement. They are people,
work, opportunities, quality of life, procedures, and compensation.
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According to Jacques Creeten of Federal Express, there are four human needs
of employees, life(survival),learning(personal development),love (relationship)
leaving a legacy (meaningful contribution).A survey carried out by “The
Business World(Dec 6 ,2004) shows that the employee gets motivated by a
great place, he friendly workplace, wherein he displays a performance that can
be attained only by an “Engaged Employee”. The survey, which ranked Federal
express –a logistics company as among the top 25 work places in India,
provides us some useful insights ,into the various processes companies use to
increase employee engagement .
According to Uday Kiran Madala, the output generated by spending extra time
on the job may be looking productive from employer’s point of view. But the
quality of output raises serious concern as the employee is bound to commit
more mistakes while working beyond the stay hours due to saturation of
energies and emotions. This further leads to the consumption of productive time
for rectification next day implying that the so-called ‘Stretch Beyond Stay
Hours’ in the name of timely delivery would give no extra mileage, argues
Uday Kiran. The employee engagement based on extra- ‘stay hours’ may not
yield dividends and has limited scope for application in intellectualism-related
occupations. Sometimes the output generated through ‘overtime’ may prove to
be an extra mileage to the organization but amounts to loss of personal time
supposed to be spent on the rest and relaxation leading to mental or physical
stress.
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3.1 RESEARCH METHODOLGY
RESEARCH DESIGN
For this study, descriptive research has been used, it involves surveys
and track finding. Major purpose of descriptive research is the description of the
state affairs, as it exists at present. It is concerned with research study with the
focus on the portrayal of the characteristics of a group or individual or a
situation.
RESEARCH INSTRUMENT
The main instrument of this research is questionnaire method. In this method
various types of questions have been framed to bring out the employees
response. They are
1. Open ended question
2. Close ended question
3. Five point rating scale
A structured questionnaire has been framed for conducting the survey. The
questions were presented with exactly the same wordings and in the same order
to all the respondents. A Sample questionnaire is attached in the annexure.
DATA COLLECTION
For conducting research both primary and secondary data were collected.The
primary data use for this project was collected through survey method,this was
chosen as it is easy to compile and analyse the information. The study was
conducted by direct survey method.
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Secondary data refers to information or facts already collected and available for
reference from sources such as library, websites. Secondary data about the
company profile and other details were collected from the company website and
through personal discussion with the company manager.
SAMPLING PROCEDURE
Convenience sampling is the sampling procedure used in the survey.
Convenience sampling is used for selection of homogenous sample for the
study. It refers to selecting a sample of study objects on convenience. The
researcher may make use of any convenience base to select the required number
of samples. The procedure is known as non-probability sampling technique.
SAMPLE SIZE
Due to time resources constraints the sample size of the research has been
restricted to 108 employees in consultation with the company/project guides.
TOOLS USED FOR ANALYSIS
The statistical tools which have been used to analyze the data are Percentage
analysis, Factor analysis, ANOVA.
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4.1 DATA ANALYSIS AND INTERPRETATION OF DEMOGRAPHIC VARIABLES
4.1.1 FREQUENCY ANALYSIS OF DEMOGRAPHIC VARIABLE: AGE
Table showing distribution of sample respondents
Table N0.4.1.1 a
AGE GROUP Frequency Percent18-25 10 15.426-35 2 3.136-45 9 13.845+ 44 67.7Total 65 100.0
Source:Primary Data
Chart No: Table N0.4.1.1 b
INFERENCE:
Form the above table it is inferred that, the respondents consist of 67.7%
above the age of 45 years, 15.4% between the age group of 18-25 , 13.8%
between the age group 36-45 and 3.1% between the age group of 26-35 years.
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4.1.2 FREQUENCY ANALYSIS OF DEMOGRAPHIC VARIABLE:GENDER
Table showing distribution of sample respondents
Table N0.4.1.2 a
Gender Frequency PercentMale 46 70.8Female 19 29.2Total 65 100.0
Source: Primary Data
Chart No: Table N0.4.1.2 b
INFERENCE:
Form the table it is inferred that70.8% of the employees working in the
organization are male and 29.2 % are female.
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4.1.3 FREQUENCY ANALYSIS OF DEMOGRAPHIC VARIABLE:TENURE
Table showing distribution of sample respondents
Table N0.4.1.3 a
YEARS OF SERVICE Frequency Percentless than 2 years 10 15.42-6 yrs 5 7.76-10 3 4.6above 10 yrs 47 72.3Total 65 100.0
Source: Primary Data
Chart No: Table N0.4.1.3 b
INFERENCE: From the table, it is inferred that 72.3% of the employees have above 10
years of experience, 15.4% have less than 2 years of service, 7.7% have 2-6
years of tenure and, 4.6% of employees have 6-10 years of service in the
organization.
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4.1.4 FREQUENCY ANALYSIS OF DEMOGRAPHIC VARIABLE: SECTION
Table showing distribution of sample respondents
Table N0.4.1.4 a
SECTION Frequency PercentProduction 35 53.8Engineering 9 13.8office 21 32.3Total 65 100.0
Source: Primary Data
Chart No: Table N0.4.1.4 b
INFERENCE:From the table, it is inferred that 53.8% of the employee belong to
production section,13.8 % belong to Engineering section and 32.3 % belong to
Office section.
4.2 FREQUENCY ANALYSIS OF RESPONSES:
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4.2.1 WHAT DO YOU ENJOY MOST ABOUT THIS COMPANY?
Table showing distribution of sample respondents
Table N0.4.2.1 a
DELIGHT FACTORS Frequency PercentPeople I work with 31 47.7Work Schedule 18 27.7environment 1 1.5fair wages 8 12.3job itself 5 7.7culture 2 3.1Total 65 100.0
Source:Primary Data
Chart No: Table N0.4.2.1 b
INFERENCE:From the above table, 47.7% of the employees are delighted with the
people with whom they work, 27% are delighted with their work schedule
framed by the organization and 12% like the wages and rest of the percentages
of employees are delighted with job, work environment and culture.
4.2.2 WHAT DO LEAST LIKE ABOUT THIS COMPANY?
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Table showing distribution of sample respondents
Table N0.4.2.2 a
Dislikes Frequency PercentRecognition 12 18.5opportunity to advance 13 20.0Management cooperation 11 16.9No Negative opinion 28 43.1canteen 1 1.5Total 65 100.0
Source:Primary Data
Chart No: Table N0.4.2.2 b
INFERENCE:From the above table it is inferred that 43.1% of employees have no
negative opinion about the company, where as 20% and 18.5 % of employees
least like about the recognition and opportunity to advance in the organization
and 16% of employees have less likeness towards management cooperation.
4.2. MANAGEMENT SUPPORT DECISION MADE ON THE PRODUCTION FLOOR
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Table showing distribution of sample respondents
Table N0.4.2.3 a
Management decision Frequency PercentManagement makes the decision 51 78.5
Floor Makes the Decision 8 12.3Do not know 6 9.2Total 65 100.0
Source:Primary Data
Chart No: Table N0.4.2.3 b
INFERENCE:From the above data it is inferred that, 78.5% of decision is made by the
management at the production floor where as only 12.2 % ,floor makes the
decision at the production floor.
4.3 FACTOR ANALYSIS
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There are various variables that determine employee engagement in an
organization. Analysis with these variables will make it complicated. Thus in
order to find the predominant factors that affect engagement ,factor analysis is
being used.KMO test is performed to find out the sampling adequacy to
determine if factor analysis can be proceeded with.
Table showing KMO and Bartlett's Test
Table No: 4.3.1Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .582
Bartlett's Test of Sphericity
Approx. Chi-Square 330.976df 78Sig. .000
INFERENCE:
Since KMO sampling adequacy is .586~.6 factor analysis can be carried out.
Table showing rotated component matrix
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Table No: 4.3.2
Rotated Component Matrixa
Variables Component
1 2 3
Mission known .876
Link mission with job .754
Opportunity to do best every day .711
Expectation .627
Best friend at work .610
Opportunities at work to learn and grow .441
Care .765
Encouragement .756
Recognition .748
Opinions seem to count. .632 .485
Talked about progress . .793
Commitment .718
Resources provided .591Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
The above table shows that data could be grouped into 3 factors in the order of
their influences.The factors are.
FACTOR 1: Engagement with Strategic alignment
At work, do I have the opportunity to do what I do best every day
Do I know what is expected of me at work
Do I know the mission/purpose of the company
Does the mission/purpose of the company make me feel my job is
important
FACTOR 1: Engagement with colleagues
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Is there someone at work who encourages my development
My supervisor, or someone at work, seem to care about me as a person
In the last seven days, I have received recognition or praise for doing
good work
At work, my opinions seem to count
FACTOR 1: Engagement with organization
In the last six months, someone at work has talked to me about my
progress
My associates (fellow employees) are committed to doing quality work
Do I have the materials and equipment I need to do my work right
INFERENCE:
Factor analysis when reveals that there are 3 factors, strategic alignment,
organization and colleagues that drives employee engagement in the
organization.
4.4 ONE WAY ANOVA (TEST FOR SIGNIFICANCE)
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4.3.1 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH
STRATEGIC ALIGNMENT AND AGE.
NULL HYPOTHESIS: There is no significance difference between the
Engagement with strategic alignment and age.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with strategic alignment and age.
Table showing Significance between the Engagement with strategic alignment
and age.
Table No: 4.4.1ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups .135 3 .045 .249 .861
Within Groups 10.995 61 .180Total 11.130 64
INFERENCE:
Since the significance level is greater than the 0.05, null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with strategic alignment and age.
4.3.2 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH STRATEGIC ALIGNMENT AND GENDER.
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NULL HYPOTHESIS: There is no significance difference between the
Engagement with strategic alignment and gender.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with strategic alignment and gender.
Table showing Significance between the Engagement with strategic alignment
and gender.
Table No: 4.4.2
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups .033 1 .033 .190 .664
Within Groups 11.096 63 .176
Total 11.130 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted.From the above table it is inferred that there exists no significant
difference between the engagement with strategic alignment and gender.
4.3.3 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH
STRATEGIC ALIGNMENT AND YEARS OF SERVICE.
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NULL HYPOTHESIS: There is no significance difference between the
Engagement with strategic alignment and years of service.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with strategic alignment and years of service.
Table showing Significance between the Engagement with strategic alignment
and years of service.
Table No: 4.4.3
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups .282 3 .094 .529 .664
Within Groups 10.848 61 .178
Total 11.130 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with strategic alignment and years of
service.
4.3.4 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH COLLEAGUES AND AGE.
34
NULL HYPOTHESIS: There is no significance difference between the
Engagement with colleagues and age.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with colleagues and age.
Table showing significance between the Engagement with colleagues and age.
Table No: 4.4.4
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups 4.338 3 1.446 1.984 .126
Within Groups 44.465 61 .729
Total 48.804 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with colleagues and age.
4.3.5 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH COLLEAGUES AND GENDER.
35
NULL HYPOTHESIS: There is no significance difference between the
Engagement with colleagues and gender.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with colleagues and gender.
Table showing significance between the Engagement with colleagues and
gender.
Table No: 4.4.5
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups 1.996 1 1.996 2.687 .106
Within Groups 46.808 63 .743
Total 48.804 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with colleagues and gender.
4.3.6 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH COLLEAGUES AND YEARS OF SERVICE.
36
NULL HYPOTHESIS: There is no significance difference between the
Engagement with colleagues and years of service.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with colleagues and years of service.
Table showing significance between the Engagement with colleagues and years
of service.
Table No: 4.4.6
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups 3.576 3 1.192 1.608 .197
Within Groups 45.228 61 .741
Total 48.804 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with colleagues and years of service.
4.3.7 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH
ORGANIZATION AND AGE.
37
NULL HYPOTHESIS: There is no significance difference between the
Engagement with organization and age.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with organization and age.
Table Showing Significance between the Engagement with organization and
age.
Table No: 4.4.7
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups 1.055 3 .352 .778 .511
Within Groups 27.587 61 .452
Total 28.643 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with organization and age.
4.3.8 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH ORGANIZATION AND GENDER.
38
NULL HYPOTHESIS: There is no significance difference between the
Engagement with organization and gender.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with organization and gender.
Table shwoing Significance between the Engagement with organization and
gender.
Table No: 4.4.8
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups .464 1 .464 1.037 .312
Within Groups 28.179 63 .447
Total 28.643 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
accepted. From the above table it is inferred that there exists no significant
difference between the engagement with organization and gender.
4.3.9 SIGNIFICANCE BETWEEN THE ENGAGEMENT WITH ORGANIZATION AND YEARS OF SERVICE.
39
NULL HYPOTHESIS: There is no significance difference between the
Engagement with organization and years of service.
ALTERNATE HYPOTHESIS: There is significant difference between the
Engagement with organization and years of service.
Table showing Significance between the Engagement with organization and
years of service.
Table No: 4.4.9
ANOVA
Sources Sum of Squares df
Mean Square F Sig.
Between Groups 4.228 3 1.409 3.521 .020
Within Groups 24.415 61 .400
Total 28.643 64
INFERENCE:
Since the significance level is greater than the 0.05 ,null hypothesis is
rejected. From the above table it is inferred that there exists a significant
difference between the engagement with organization and years of service.
5. FINDINGS AND SUGGESTIONS
5.1. FINDINGS
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The following details were found from the survey conducted in Aavin central
diary.
It is found that 67.7% of the employees are above the age of 45 years, 70.8%
of the employees working in the organization are men, and 72.3% have work
experience of about 10 years.
It is found that, 47.7% of the employees have good relationship with others
in the organization.
It is found that, 46.3 % of the employees have no negative opinion towards
the organization.
It is found that, 78.5% of management support decision made on the
production floor is by the management.
53.8% of the employees belong to the production section of the organization.
From the analysis it is found that there is a relationship between the
engagement with strategic alignment and age.ie. The engagement level with
the strategic alignment is similar with all age groups.
From the analysis it is found that there is a relation between the engagement
with strategic alignment and gender.
From the analysis it is found that there is a relation between the engagement
with strategic alignment and years of service.
From the analysis it is found that there is a relation between the engagement
with colleagues and age.
From the analysis it is found that there is a relation between the engagement
with colleagues and gender.
From the analysis it is found that there is a relation between the engagement
with colleagues and years of service.
From the analysis it is found that there is a relation between the engagement
with organization and age.
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From the analysis it is found that there is a relation between the engagement
with organization and gender.
From the analysis it is found that there the engagement with organization and
years of service differ. i.e. As the years increases the engagement with the
organization increases.
5.2 SUGGESTIONS
42
Engagement is built on time, commitment and consistent monitoring. Educating
leaders, encouraging social interactions, and respecting work-life balance will
help in the transformation of employee engagement. Employee engagement
requires that all employees operate from their own strengths and passions .The
following are the suggestions for the Aavin-Central Dairy to help increase the
employee engagement within the organization.
Identify an opportunity to give recognition.
Recognition must be timely, frequent and specific.
The employees are contented with the people they work with, and the
engagement level can be increased by reducing job rotation.
The organization should improve the motivation activities such as
providing bonus, incentives, and providing opportunities to advance in
work.
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5.3 CONCLUSION
The present study was conducted at “Aavin – Central Dairy” in Chennai.
The aim was to find the level of employee engagement, identify the factors that
affect their engagement towards job and organization. This was done using a
detailed questionnaire. The study revealed that only a small percentage of the
employees are disengaged.
At the end of the study, it was found that though there are signs of
disengagement among the employees and factors affecting their engagement
towards job and organization, it can be controlled and reduced effectively.
This can be done by adopting coping strategies and measures to reduce
the disengagement level and increase the satisfaction level by incorporating the
suggestions given here at both individual & organization level.
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BIBLIGRAPHY
REFERENCE
1. C.R.Kothari(1990),”Research Methodology”, New Age International
Pvt.Ltd.
2. L.M.Prasad(2001), “Human resource Management”, Sultan Chand & Sons
Company,New Delhi.
3. William H. Macey ,Employee Engagement: Tools for Analysis, Practice, and Competitive Advantage
JOURNALS
1. Kahn and Maslow, Exploring employee engagement from the
employee perspective: implications for HRD, Journal of European
Industrial Training 35.4 (2011)
2. Helena Cooper Thomas , “How can leaders achieve high employee
engagement?”, Leadership & Organization Development Journal 32.4
(2011)
WEBSITES
1. www.google.com
2. www.wikipedia.org
3. www.hr.com
4. www.citehr.com
5. www.aavinmilk.com
6. http://articles.economictimes.indiatimes.com
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