ravi project
TRANSCRIPT
Introduction-Retail in India
Retailing is the largest private sector in India and second to agriculture in
term of providing employment to people. India today has perhaps the highest
retail outlet density with approximately 12 million retail outlets. The retail
industry in the country is broadly divided into the organized and
unorganized sectors. The total market in 2005 stood at $225 billion,
accounting for about 11% of the country's gross domestic product (GDP). Of
this total market, the organized sector accounted for $ 8 billion of the total
revenues. That represents only 3.5% share of this market. According to AT
Kearney, the organized retailing industry is expected to cross $23 billion
revenue mark by 2010.its share as represented in urban scenario is projected
to be 12 to 20%. Growing at more than 30%, the organized sector is driving
the retail growth in India and contributes significantly to the growth of the
economy. This economic growth comes primarily from increased consumer
spending. Retail is currently the biggest industry in the world with sales of
$7.2 trillion. Every 10th billionaire in the world is a retailer. 25 of the top 50
Fortune 500 companies are in retail.
The retail market in India is the second largest untapped market after China.
According to a survey by A T Kearney, the size of the retail industry in India
is pegged at Rs 400,000 crore, and is expected to double to Rs 800,000 crore
by 2006. The biggest challenge for Indian retailing lies in the nature of the
sector, which is highly fragmented and unstructured. A T Kearney estimates
that the organized retail market is Rs 20,000 crore, while K S A Technopak,
values it at Rs 5,000 crore. By 2005, A T Kearney predicts an eight-fold
increase in organized retail while KSA Technopak estimates a six-fold
1
growth. The difference in these projections is attributed to their divergent
definitions of ‘organized retailing’. While India’s retailing format has
hitherto been basic at best, change is in the air. Over the past few years,
there has been a proliferation of organized sector players entering or
expanding their presence in the retail market. A number of large business
groups such as Tata, RPG, Rahejas and Piramal have set up malls and built
businesses within retail.
This includes the Rs 190 crore (McKinsey estimate) FoodWorld, India’s
leading supermarket chain. Other supermarket chains like Trinetra, Nilgiris,
Apna Bazar and Subhiksha are rapidly establishing themselves.
Dia. 3.1 Organized Retail In India
2
The apparel sector has seen the emergence of stores like Pantaloons apart
from company owned exclusive stores. Names like Shopper’s Stop,
Lifestyle, Westside etc., have gained prominence in the lifestyle and fashion
segments, and chains like Archies, Musicworld and Crossword cater to the
books and music market. Even sectors like consumer durables have seen the
emergence of organized retailers like Viveks (in Chennai) and
JainsonsUrban markets are more attractive given the higher disposable
incomes of the urban population. The increasing attractiveness of the sector
is raising interest from a number of global retailers. McKinsey predicts that
global companies such as Tesco, Kingfisher, Metro, Carrefour, and Ahold
are exploring entry options, even as names like Benetton and Lifestyle have
already built a presence in India. Even though the retail sector in India has
been growing rapidly, there is still a long way to go. Firstly, organized
retailers face steep regulatory and infrastructural barriers. Real estate access
is complicated and complex, as is the tax system. In addition, the
competition from the unorganized sector is formidable. As in any other
industry, unorganized retailers enjoy higher margins due to lower
operational costs. Organized retailers must counter the convenience of a
hop-skip-and jump access of the small, neighborhood stores. These Indian
versions of the mom and-pop store have some traditional advantages that
make them formidable opponents for modern trade – established
relationships with local consumers, easy credit terms, quick and easy
acquisition of products in line with customer preferences and home delivery.
The past few years have seen the spending power of the middle class
increasing exponentially. Shopping for anything – from cars to cutlery,
groceries to personal accessories is now a fun thing for the family to do
together. Malls have become the alternative hangout and are growing in their
3
popularity as the preferred venue for holiday and evening outings. The new
brand of consumer has arrived – ‘the recreational shopper’. The Retail
Industry in India is at the crossroads. India is ushering in a revolution in the
retailing industry. This is attributed to the huge sum of money being poured
in real estate, modern logistic and the creation of new brands. While the
opportunity is large the rate and quantum of growth is uncertain. As retailers
hope that shopping becomes the sport of choice (perhaps even displacing the
old favorite – cricket), some might well say that the retail boom is only just
beginning.
Historical Evolution for retail in India
Dia. 3.6 Historical Evolutions for Retail in India
Sources: - ICICI presentation
Weekly MarketsVillage FairsMelas
Convenience StoresMom and Pop/Kiranas
PDS OutletsKhaki StoresCooperatives
Exclusive Brand OutletsHyper/Super MarketsDepartment StoresShopping Malls
Traditional/Pervasive Reach
Government Supported
Historic/Rural Reach
Modern Formats/ International
Source of Entertainment
Neighborhood Stores/Convenience
Availability/ Low Costs / Distribution
Shopping Experience/Efficiency
4
Different Retail Format Used in India
Hypermarkets
The hypermarket format is most suitable and appealing to the Indian
consumer. Very large - over 40,000 sq. ft. The largest retailers operating in
this format are Pantaloon Retail with Big Bazaar, RPG Enterprises with
Giant (now Spencer’s) and Tata Trent’s Star India Bazaar hypermarkets.
Most retailers are likely to continue expanding in the larger Indian cities and
select tier-two cities with potential for growth. Some of the trends in the
hypermarket format are a rapid growth in revenue led by volumes, and
expansion in both large and medium cities.
Supermarket
Self-service stores - Approx. 4,000 to 20,000 sq. ft. in size, with a strong
focus on food and personal care. Supermarkets take the form of a one-stop-
shop, catering to the consumer's need for choice and variety. Clientele of
supermarkets consist mostly of affluent Indians who are not too price-
sensitive, prefer convenience, hygiene and the attractive atmosphere. Large
players operating through these formats include Food Bazaars from
Pantaloon Retail, RPG’s Food world supermarkets, Trinethra supermarket
and Nilgiris.
Discount stores
If we stripped down supermarkets, offering basic range of grocery products
typically at great discounts. They run extremely cost-efficient operations by
reducing the complexity of inventory, and offering a basic ambience. The
most prominent discount grocery chains are Subiksha (leader) and Margin
Free Markets.
5
Cash And Carry
Usually - 70,000 to 100,000 sq. ft. stores that sell products to members,
comprising retailers and institutions. The key added value is a wide range of
products under one roof, at wholesale prices
Neighborhood Store
Traditional stores that provide basic offerings, fixed prices, zero usage of
technology, and little or no ambience. These are either dying out, or
repositioning themselves, on the basis of convenience and quality.
Table 3.1 Different Retail Format and value position
6
Current Trends in Indian Retailing Industry
Rising income levels, education and a global exposure have
contributed to the evolution of the Indian middle class purchasing and
shopping habits are maturing as a result.
Current organized retail is small and fragmented with players not
being able to reap economies of scale.
Retailing through formats such as supermarkets, hypermarkets,
department stores and other specialty chains are increasing. Leading
industrial houses in the country are investing in the sector. This
includes Food world, Shopper’s Stop, Crossroads, Globus, Pyramid
and other such outlets.
Dia. 3.7 Four Axis for Retail Scale up Sources: FICCI
7
Retailing through non-traditional channels such as Fuel Stations,
Direct Selling and Home Shopping Television is on the rise.
FDI in retail trading is not encouraged in any form. However, a few
foreign retail names appearing in the market are in the nature of
franchisee.
Foreign retail chains like Marks & Spencer have already established
their operations in the growing Indian market. Several companies
including Metro, Tesco, and Carrefour are exploring entry options.
Benetton and Lifestyle are already in the business in India.
Opportunities
Organized retail is a lucrative proposition for a player who can bring
in best practices from around the world, leverage economies of scale
and reap these benefits through retail operations in India.
India has a large middle class of 350 million and an educated
workforce to handle various critical functions like merchandising,
sales promotion, inventory management, purchasing and marketing.
India also possesses IT skills in the area of supply chain management,
database management and inventory management
A number of drivers are aiding the growth of the industry such as
enhanced levels of income and increasing purchasing power, entry of
foreign retailers and reforms in real estate markets. Given these
developments the organised retailing sector is poised for significant
growth in the country.
8
Customer Is a King OR Queen
Dia.3.8 Customer is a king or queen
Future of Retail Industry in India
Over 70% of the urban population is estimated to reside in Class I
cities (population of over one million) and rest of them mostly stays in class
II cities. This is largely as a result of increased employment opportunities in
cities as well as a preference among the younger generation to move away
from agriculture. Population by age group one of the important demographic
trends in recent times is the changing age profile. India is increasingly being
acknowledged as a “young” nation, with about 35% of its population less
than 14 years of age. The median age of India’s population is 24 years.
9
Dia. 3.9 Organized Retailing –Market Size
Source: FICCI
Youth are generally early adopters of most modern products and concepts.
Given the higher aspirations and “willingness to change” of the younger age
group, India’s age profile offers high market potential for consumer goods.
However, in the long term, this factor represents a challenge as rapidly
growing numbers of ageing consumers will have more discretionary income
but will spend less on goods and more on healthcare and other services as
well as saving for retirement. Set out below is the forecast of the age profile
over the next 12 years.
10
Table. 3.2 Population Projection
POPULATION
Population estimated at 1,055 million (2003) is growing by 1.7% this year.
Growing is a key trend in the country, with rural growth averaging to 17.9%
and urban 30.7% for the period 1991 to 2001.
Statistics with regard to population growth and the rural split are setout
below.
Source: - KSA Technopack
11
Dia. 1.10 Indian Consumer Market
Wholesale Part of Retailing in India
Dia: 15.1 Traditional and Mostly followed Supply chain model
India followed by retailer and manufacturer
Supplier-driven product development process.
12
Push / pipeline model.
One-way info flow of information from supplier to retailer
Dia: 15.2 New Form of supply chain in place to be in Future
In new globalize world this is going to happen in retail and manufacturer
relationships. So there will be a backward integration also in supply chain
in coming future with help of internet and technology.
2-way real-time information flow
Web Infrastructure
Telephony Infrastructure
Manufacturer
Retailers
Transportation
Overnight Delivery
Direct Marketing
Distributors
Infomediary and Outsourced
Service Providers
13
Networking model provides immediate sales feedback up and down
the supply chain.
Fully informed supply through all phases of product life cycle
Visual Merchandising (VM) is the art of presentation, which puts the
merchandise in focus. It educates the customers, creates desire and
finally augments the selling process. This is an area where the Indian
textile and clothing industry, particularly, the SMEs lack adequate
knowledge and expertise. This inadequacy is best reflected in poor
presentation/display and communication in various national and
international exhibitions. Therefore this Programme has been
conceived to fill this gap. VM helps in: educating the customers about
the product/service in an effective and creative way. establishing a
creative medium to present merchandise in 3D environment, thereby
14
enabling long lasting impact and recall value. setting the company
apart in an exclusive position. establishing linkage between fashion,
product design and marketing by keeping the product in prime focus.
combining the creative, technical and operational aspects of a product
and the business. drawing the attention of the customer to enable him
to take purchase decision within shortest possible time, and thus
augmenting the selling process.
STATUS OF VISUAL MERCHANDISING IN INDIA: Unlike the
western countries, where
VM receives highest priority in commercial planning of a product, the
Indian industry’s understanding and practice of the concept of VM
is inadequate. With phasing out of quantitative restrictions after the
year 2004, the textile industry will have to compete purely on the
competitive edge of the products and VM will be a helpful tool in
projecting the uniqueness of the products and thereby increasing the
market access and sales. It is high time that the Indian textile and
clothing industry, therefore, understands and adopts the scientific and
professional system of VM rather than the traditional practices of
display of products and communication.
15
16
About Vishal Mega Mart
Ram Agarwal started Vishal Mega Mart in Kolkata in 1986, in a 100
sq ft shop in Lal Bazaar. It was a struggle in the beginning, but within
two years his store had taken off, and today Vishal Mega Mart has
branches all over the country.
With a turnover of Rs 89 crore (Rs 890 million), Vishal Mega Mart has
been one of the pioneers of bargain retailing in India, and now it is
diversifying to become an all-purpose departmental store.
In the beginning
His family had a business in Calcutta (now Kolkata) when he was
growing up, but he wanted to do something different, so he got a job
instead. However, by 1984, he got bored and decided to start
something by myself.
At that time, especially in Calcutta, there weren't really any retail
stores. People would buy fabric and get their clothes stitched. He was
one of the first people to put forward the idea of a large departmental
style retail store that early on.
Financial worries
He started with around Rs 100,000, for which he had to take out a
loan as well as dip into some family savings. This went into renting
their workspace, which was an office and a workshop rolled in one,
17
and hiring the three people he had working for him. They sourced all
their material from Calcutta itself, and stitched their garments in-
house.
It took two years for them to really take off -- until then it was a
continuous learning process for him, since he was relatively
inexperienced in running a business. He had to learn various tricks
along the way, especially in terms of selling. They set up their first
shop in 1986, and by 1990, they had four showrooms in Calcutta.
The first big outlet was set up in the popular Esplanade area in 1997.
The thing that really made a difference was, around 1988, he had the
brainwave of introducing sales. That idea really took off -- they would
buy in bulk at discounted rates, and sell at really low prices. They
took temporary shops and put up sales -- they'd get lines going
around the corner!
Expanding sales
The first shop they opened outside of Calcutta was in Bhubaneshwar,
and today they are present in cities like Jaipur, Indore, Hyderabad
and Pune. They set up their first Delhi shop in 2002 -- now they have
seven.
He owe all his success to the fact that he has managed to really
differentiate his product: they offer pure value for money. They do
business at a low margin, by cutting the middle-man -- and that's why
they clicked. They're probably the only players in India who purchase
with cash, and buy directly from the manufacturer. They started with a
18
price point of Rs 125 on average, and today this has only increased
to Rs 250, pretty reasonable by today's standards. They even do
formalwear within this range.
The inspiration
He got the inspiration to diversify his stores when he went abroad.
Big retailers like Sears or Walmart cater to absolutely everything. In
India we don't have their equivalent here. While it is emerging now in
India, there is still nothing like an organised retail sector.
In the beginning of 2004, they started to branch out into furnishings,
cosmetics and other fast-moving consumer goods. They now have a
1,50,000 sq ft hypermarket in New Delhi's Mathura Road.
At this point, it is a little tough to manage this kind of expansion,
especially with all the different varieties it brings -- you have to keep
your fingers in several pies at once which is a bit of a juggling act --
but if you can manage this sector, there is no doubt that you will be
king of retail in India.
Hope for the future
They hope to reach Rs 5,000 crore (Rs 50 billion) by 2010. This is a
sobering thought, given that when he first started, they were making
sales of around Rs 200 a day! Their expansion plans are still on
target, they're planning more stores in Delhi and the big metros. He
think the main reason for his success is that he was in the right place
at the right time, and he realised that the middle classes were a vast
19
untapped resource. Middle class wanted to spend their money, but
they also wanted bargains, and this is exactly what he gave them.
The VISHAL Group : What started as a humble one store enterprise in
1986 in Kolkata (erstwhile, Calcutta) is today a conglomerate encompassing
49 showrooms in 37 cities. India’s first hyper-market has also been opened
for the Indian consumer by Vishal. Situated in the national capital Delhi this
store boasts of the singe largest collection of goods and commodities sold
under one roof in India.
The Group has a turnover of Rs 150 crore for 2004-05. Under the
dynamic leadership of Mr. Ram Chandra Agarwal the group is expecting
to touch the turnover of Rs 300 crore by the end of March 2006 and Rs
650 crore for the period 2006-07.
The group’s prime focus is on retailing. The Vishal stores offer affordable
family fashion at prices to suit every pocket.
The group’s philosophy is integration and towards this end has initiated
backward integration in the field of high fashion by setting up a state of the
art manufacturing facility to support its retail endeavors.
Vishal is one of fastest growing retailing groups in India. Its outlets cater to
almost all price ranges. The showrooms have over 70,00 products range
which fulfills all your household needs, and can be catered to under one
roof. It is covering more than 11 Lacs of sq. ft. in retail space and more than
5 Lacs sq.ft. under construction. Each store gives you international quality
20
goods and prices hard to match. The cost benefit that is derived from the
large central purchase of goods and services is passed on to the consumer.
The Founders:
Mr.Ramchandra Aggarwal
Mrs.Uma Aggarwal
Mr.Surendra Aggarwal
21
Introduction to the Research topic
Vishal Retail Ltd is one of the leading retail houses in India. As of January
25, 2007, they operated 48 retail stores of Vishal Mega Mart spread over
1,150,000 square feet across 37 cities in 17 states. In their efforts to
strengthen their supply chain, they have set up seven regional distribution
centers and an apparel manufacturing plant.
They started as a retailer of ready-made apparels in Kolkata in 2001. In
2003, they acquired the manufacturing facilities from Vishal Fashions
Private Limited and M/s Vishal Apparels. Subsequently, with evolution of
retail industry in India and change in consumer aspirations, they diversified
their portfolio of offerings to include other retail goods. Currently, they sell
ready-made apparels and a wide range of household merchandise and other
consumer goods such as footwear, toys, watches, toiletries, grocery items,
sports items, crockery, gift and novelties.
They follow the concept of value retail in India. In other words, their
business approach is to sell quality goods at reasonable prices by either
manufacturing themselves or directly procuring from manufacturers
(primarily from small and medium size vendors and manufacturers). They
endeavour to facilitate one-stop-shop convenience for their customers and to
cater to the needs of the entire family. They believe this concept has helped
them grow to their current size within a short time frame of four years.
22
Why chosen Vishal Mega Mart as the research subject
We all know that Retail is one of the fastest growing sectors in India
and in the time to come it is expected to grow manifold. Hence this is the
sector which has immense opportunities not only for working professionals
but for the freshers, new to the corporate world, too. We have chosen retail
sector as we are eyeing the same to enter into, after successful completion of
our MBA programme because of the already mentioned reason. Further we
have chosen Vishal Mega Mart as our research subject because it is the
biggest and only specimen of organized retail in general merchandise in
Dehradun till date, though there are more than one organized food retailers
like Mc Donalds, Pizza Hut and Narula’s operating in the city.
23
Review of Literature
The study of consumer store-choice or patronage behavior has been an
important area of research in retailing for many decades. The decision on the
choice of store has been modeled in different ways in the literature. Some of
the studies have taken the household as a rational decision making unit,
(Becker, 1965; Goldman and Johansson, 1978; Bawa and Ghosh, 1999).
Similarly, Bell, Ho and Tang, (1998) in their work on store choice found
evidence that each shopper is more likely to visit the store with the lowest
total shopping cost.
Some of the researchers (Bell, Ho and Tang, 2001) have worked on the
shoppers perceived utility and the store image in making the store choice.
Research also exists on how store environment cues influence consumers'
store choice decision criteria, such as perceived merchandise value and
shopping experience (Baker, Parasuraman, Grewal, and Voss, 2002).
Store choice has also been seen in the context of the risk reduction strategies
of the shoppers (Mitchel and McGoldrick, 1996; Mitchell and Harris,
2005). In addition work on store choice has also been done on the role of
situational factors (Wu, Petroshius, and Newell, 2004) and the task-store
attribute relationship (Kenhove, Wule, and Waterschoot, 1999) found to
be dependent on the timing of shopping trips, with consumers visiting
smaller local store for short "fill-in' trips and larger store for regular
shopping trips (Kahn and Schmittlein, 1989).
Most of the studies in store choice have however pointed out the primacy of
store location (Arnold, Oum and Tigert, 1983; Freymann, 2002) and price
24
(Bell, Ho and Tang, 2001; Freymann, 2002; Arnold, Oum and Tigert,
1983) as the key drivers of store choice. Lastly Bell and Lattin (1998)
found a systematic relationship between a household's shopping behavior
and store preference, especially in the context of choice of a format
The most common technique employed in the methodologies of the majority
of research work involved in store image measurement has been by asking
consumers to rate particular outlets on pre-defined scales. Thus, the semantic
differential scaling used by Osgood et al. (1957) has subsequently been
widely employed. Five or seven point bi-polar scales have been the most
common (e.g. McDougall and Fry, 1974; Golden et al., 1987; and Cassill et
al., 1993), but Hansen and Deutscher (1977) used staple scales ranging from
zero to ten. Others, such as James et al. (1976) have utilized attitudinal
scaling techniques when evaluating attributes for a particular store (e.g.
‘very good’ or ‘very bad’), with total scores indicating how well a store
filled consumer expectations overall. Cassill et al. (1993) made some
attempt to summarise these ratings of individual attributes by using factor
analysis. They found that consumers choose to patronise individual
department stores for clothing purchases when a combination of factors were
present: the stocking of particular brands; the presence of national and own
branded products; and where garments offered functional value rather than
fashion appeal. Two problems characterise the majority of previous studies
of store image. First, the dimensions on which consumers are asked to rate
particular outlets have largely been predetermined by the researcher, and
have not emanated from the respondents themselves. Second, many studies
have treated attributes of store image as if they are all equally important,
which need not necessarily be the case. surprising, therefore, that researchers
25
have striven consistently to provide an improved understanding of store
image (Martineau, 1958; Kunkel and Berry, 1968; Lindquist, 1974; In
Martineau’s (1958) paper, it was suggested that retail outlets had, so far as
customers wereconcerned, a ‘personality’ composed of functional and
psychological attributes. It can be concluded from this early work on store
image that findings from one sector are not, necessarily, broadly applicable.
It is not surprising, therefore, that Davies (1992) concluded that store image
is likely to be situation specific, varying according to the purpose of each
consumer purchase. Osman (1993) has attempted to relate these two factors,
by proposing that consumer attitudes to store choice are affected by the store
rating on each of the contributing attributes.
This is therefore, a critical area for further research work, as often managers
have been shown to perceive their own retail image differently from that of
their customers (McLure and Ryans, 1968).
The studies on store choice have mostly dealt with individual choices and
the studies have investigated the drivers of store choice taking individuals as
the samples (mostly housewives). Little research exists, which analyses the
shopping behavior with a family or household as a unit. Researchers have
found that, store choice and shopping trip timing decisions tend to differ for
individuals and households as a result of personal differences, household
composition, and activity patterns (Leszczyc and Timmermans, 1997; Kim
and Park, 1997). Similarly work has been done on household demographic
variables (Leszczyc, Sinha, and Timmermans, 2000; Bawa and Ghosh,
1999) and relating them to the shopping behaviour of the household, the trip
timing (Kahn and Schmittlein, 1989) and the store choice (Kau and
Ehrenberg, 1984). However, as compared to the work on the product and
26
service choices by the families/households, the work on store choice is quite
less and covers few dimensions.
The existing research supports that household size has a positive effect on
the likelihood of a shopping trip (Leszczyc, Sinha, and Timmermans,
2000). Similarly Bawa and Ghosh, (1999), found that the size of the family
was positively associated with the frequency of shopping trips and the
basket size.
The household composition, will also affect the shopping basket, it has been
suggested that for a given household size, the presence of children in the
household is likely to lower expenditures relative to an all-adult household
due to differences in consumption rates for children and adults (Prais and
Houthakker, 1971; Benus, Kmenta and Shapiro, 1976; McClements,
1977; Muelbauer, 1980). In addition, the presence of children is likely to
result in a more diverse basket size, with higher chances of stock outs and
greater impulse purchases. Thus the presence of children will induce
baskets, with larger baskets in terms of categories, but smaller baskets in
terms of size.
27
Hypothesis Formulation
Every test of significance begins with a null hypothesis (H0 ). H0 represents
a theory that has been put forward, either because it is believed to be true or
because it is to be used as a basis for argument, but has not been proved.
The very first step in the formulation of hypothesis is to formulate two
hypotheses instead of one in such a way that if one is accepted then the other
is rejected or vice versa. The other one is called as alternative hypothesis
(Ha ). It is a statement of what a statistical hypothesis test is set up to
establish.
In our study we have formed a number of hypotheses:
H01: More buying intention of customers is independent of gender.
H02: More buying intention of customers is independent of age.
H03: Unique shopping experience of customers is independent of gender.
H04: Unique shopping experience of customers is independent of age.
H05: Customer’s opinion of products being trendy and of latest style is
independent of gender.
H06: Customer’s opinion of products being trendy and of latest style is
independent of age.
28
Objectives of study
1. To study the shopping behavior of customers coming to
Vishal Mega Mart.
2. To study the consumer perception and attitude towards
Vishal Mega Mart as a brand.
3. To study the effectiveness of visual merchandising in Vishal
Mega Mart.
4. To study the perception of customers about products and
services offered by Vishal Mega Mart.
5. To study the perception of customers of the prices of
products and services offered by Vishal Mega Mart.
6. To study the customer perception about the promotional
strategies of Vishal Mega Mart.
29
Scope and Importance
Though Vishal Mega Mart operates in 37 cities with 49 showrooms, the
study is restricted to the Dehradun region because of the time, cost and
accessibility constraints.
The study is important because it gives insight into the customer’s
perception towards organized retailing and gives an idea of customer’s
overall shopping behavior. It is important to Vishal Mega Mart because it
reveals the strong and weak points of the store. Thus it gives an opportunity
to the store to recognize and improve upon its weak points and convert its
strong areas into strategic advantage. Till date Vishal Mega Mart is the only
player in organized general merchandising and thus is enjoying the benefits
of monopoly. But in the time to come many big players like Big Bazaar,
Reliance etc. are also planning to enter Dehradun. Thus the report can be
useful to these new entrants also, as it provides a clue about the customer
behavior.
30
Research Methodology
Research methodology is a way to the systematic solution of a research
problem. It focuses on the various steps adopted in studying the research
problem along with the logic behind using them.
Research Design
Research design is the conceptual structure within which research is
conducted. A research design specifies the methods and procedures for
conducting a particular study.
Research type
Our research is both Exploratory as well as Descriptive. Explorative
because it focuses on the discovery of ideas and uses secondary data and
Descriptive because it also focuses on the characteristics of certain group of
customers such as age, sex, income etc.
-Universe
All the items under consideration in any field of inquiry constitute a
‘universe’. In our case it is the population of Dehradun city.
-Duration
The research work has been completed within the time limit specified by the
Management i.e. two months.
Sample Design
A sample design is a definite plan determined before any data are actually
collected for obtaining a sample from a given population. In our case we
have used systematic sampling. We stood at the exit of Vishal Mega Mart
and tapped every fifth customer.
31
-Sample unit
Students, businessmen, servicemen, working women, house wives.
-Sampling technique
Sampling technique is the technique or method by which the information
is collected. We have used well defined questioneres to collect the data.
Further we have also used the interview technique wherever we felt that the
respondents were not literate enough to answer the questions by themselves.
Interviews were taken in accordance with the questioneres.
-sample size
Initially we had 150 as the size of our research sample but responses of 7
respondents out of these 150 were found to be unfit to be included in the
sample so sample size got reduced to 143.
Data Collection
There are two types of data: primary and secondary.
Primary data is the data that have been observed and recorded by the
researchers for the first time to their knowledge.
Secondary data is the data that is not gathered for the immediate study at
hand but for some other purposes.
In our study we have used both types of data. Primary data has been
collected with the help of questioneres and interviews whereas secondary
data has been collected from various books and the websites.
Statistical tools used
-Measures of central tendency
-Chi-square test
-Simple pie and bar diagrams
32
Analysis
Demographic analysis
1) Age
1-less than 20
2-greater than equal to 20 and
less than equal to 35
3-greater than 35
It can very easily be depicted from the graph that in our sample there are
i. only 7% people who are less than 20 years of age
ii. 45% people belong to the age group of ‘greater than equal to 20 and
less than equal to 35’
iii. 48% people are greater than 35 years of age
33
Age
17%
245%
348%
1
2
3
2) Income
1) Income<5000
2) 5000<=Income<10000
3) 10000<=Income<20000
4) 20000<=Income<30000
5) Income>30000
It can very easily be depicted from the graph that in our sample
i. 24% respondents have income less than Rs5000
ii. 17% respondents have income between Rs5000 and Rs10000
iii. 36% respondents have income between Rs10000 and Rs20000
iv. 19% respondents have income between Rs20000 and Rs30000
v. 0nly 4% respondents have income more than Rs30000
34
Income
24%
17%
36%
19%
4%
1
2
3
4
5
3) Expenditure
1) Expenditure<1000
2) 1000<=Expenditure<2000
3) 2000<=Expenditure<3000
4) 3000<=Expenditure<5000
5) Expenditure>5000
It can very easily be depicted from the graph that in our sample
i. 19% respondents have monthly expenditure less than Rs1000
ii. 21% respondents have monthly expenditure between Rs1000 and
Rs2000
iii. 20% respondents have monthly expenditure between Rs2000 and
Rs3000
iv. 19% respondents have monthly expenditure between Rs3000 and
Rs5000
v. 21% respondents have monthly expenditure greater than Rs5000
35
Expenditure
19%
21%
20%
19%
21%1
2
3
4
5
4) Gender
1) Female
2) Male
It can very easily be depicted from the graph that in our sample there are
40% females and 60% males.
36
Shopping Behavior
I. I have started coming for shopping with my family now
II. When I buy from VMM, I buy more than what I plan
37
9
82
32
17
3
0
20
40
60
80
100
More Buying
Strongly agree
Agree
Neither agree nordisagree
Disagree
Strongly disagree
III. I have stopped visiting the old shop I used to visit
38
612
32
75
18
0
20
40
60
80
Visiting old shop
Strongly agree
Agree
Neither agree nordisagree
Disagree
Strongly disagree
Consumer perception and attitude towards VMM as a brand
IV. VMM offer a unique shopping experience
V. Rate your shopping satisfaction level at VMM on the scale of 1-10(1 being
poor and 10 being outstanding)
39
2 3 2
15
29
47
28
13
2 2
0
10
20
30
40
50
Shopping satisfaction level
1
2
3
4
5
6
7
8
9
10
VI. Rate efficiency at billing counters of VMM on the scale of 1-10
VII. Rate layout of VMM on the scale of 1-10
40
25
7
30
38
1618
139
5
0
5
10
15
20
25
30
35
40
Billing counter efficiency
1
2
3
4
5
6
7
8
9
10
2 16
25
41
25
1814
6 5
0
10
20
30
40
50
Layout of VMM
1
2
3
4
5
6
7
8
9
10
VIII. I will definitely come again to VMM for shopping
IX. Rate following sections of VMM on the scale of 1-5(1 being poor and 5
being outstanding)
a) Grocery/Canned food
41
10
95
35
1 2
0
20
40
60
80
100
Future Visit Intention
Strongly agree
agree
Neither agree nordisagree
Disagree
Strongly disagree
59
48
67
13
0
10
20
30
40
50
60
70
Grocery/canned food
1
2
3
4
5
b) Apparel
c) Kids
42
913
65
53
3
0
10
20
30
40
50
60
70
Apparel
1
2
3
4
5
5
26
62
31
19
0
10
20
30
40
50
60
70
Kids
1
2
3
4
5
d) Footwear
e) Household
43
12
6154
14
1
0
10
20
30
40
50
60
70
Foot wear
1
2
3
4
5
3
16
53 54
16
0
10
20
30
40
50
60
House Hold
1
2
3
4
5
f) Restaurant
g) Overall
44
0
4750
16
8
0
10
20
30
40
50
Restaurant
1
2
3
4
5
310
88
35
6
0
20
40
60
80
100
Overall
1
2
3
4
5
Perception about Products and services
X. Rate quality of products at VMM on the scale of 1-10
XI. Rate product variety at VMM on the scale of 1-10
45
2 17
19
31
42
62
17
40
0
10
20
30
40
50
60
70
Product quality
1
2
3
4
5
6
7
8
9
10
15 4
11
22
55
2216
51
0
10
20
30
40
50
60
Product Veriety
1
2
3
4
5
6
7
8
9
10
XII. Products offered at VMM are trendy and of latest style
XIII. The way products are displayed makes me buy more than what I plan
46
3
65
47
26
2
0
10
20
30
40
50
60
70
Product Trends
Strongly agree
Agree
Neither agree nordisagree
Disagree
Strongly disagree
9
85
34
132
0
20
40
60
80
100
Product Display
Strongly agree
agree
Neither agree nordisagree
Disagree
Strongly disagree
Price
XIV. Keeping the quality of products in mind, most of products at VMM are
expensive
XV. Rate your satisfaction level regarding prices of products at VMM on the
scale of 1-10
47
10
54
4137
1
0
10
20
30
40
50
60
Price at VMM
Strongly agree
agree
Neither agree nordisagree
Disagree
Strngly disagree
3 3 5
15
25
46
32
11
2 10
10
20
30
40
50
Price Satisfaction level
1
2
3
4
5
6
7
8
9
10
XVI. I visit VMM because of less price or discounts offered
48
6
72
43
19
1
0
20
40
60
80
Visit for Discounts
Strongly agree
agree
Neither agree nordisagree
Disagree
Strongly disagree
Promotion
XVII. The discounts offers at VMM are usually tempting
XVIII. I am generally aware of all offers at VMM
49
9
52 50
28
4
0
10
20
30
40
50
60
Tempting Discounts
Strongly agree
agree
Neither agree nordisagree
Disagree
Strongly disagree
3
58
27
44
11
0
10
20
30
40
50
60
Awareness of Offers
Strongly agree
agree
Neither agree nordisagree
Disagree
Strongly disagree
XIX. Rate your satisfaction regarding the clarity of signages carrying
information about offers and discounts inside VMM on the scale of 1-10
XX. I come to VMM because I find advertisements of VMM effective
50
2 2
15
24
1922
17
38
31
0
5
10
15
20
25
30
35
40
Clarity of signages
1
2
3
4
5
6
7
8
9
10
2
5045
38
8
0
10
20
30
40
50
Effective Adds
Strongly agree
agree
Neither agree nordisagree
Disagree
Strongly disagree
XXI. Rate the following influencing factors on the scale of 1-5 which make you
visit VMM
a) Discount
b) Ambience
51
5
15
48
62
12
0
10
20
30
40
50
60
70
Discount
1
2
3
4
5
3
33
4652
8
0
10
20
30
40
50
60
Ambience
1
2
3
4
5
c) A good time pass destination
d) Self selection facility
52
4 6
25
69
1
0
10
20
30
40
50
60
70
Self selection Facility
1
2
3
4
5
e) All items under one roof
XXII. How would you rate the behavior of employees on the scale of 1-10
53
20
2
10 9
20
32
54
68
0
10
20
30
40
50
60
Behavior of Emploees
1
2
3
4
5
6
7
8
9
10
Chi-square tests
1) To test whether more buying intention of customers (variable 1) has
any relation with gender (variable 2)
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
More Buying & Gender:-
Table 1
Gender Yes No Total
Male 50 13 63
Female 39 10 49
Total 89 23 112
54
O E (O-E) (O-E)^2 (O-E)^2/E
50 50.0625 -0.0625 3.9062 7.8027
39 38..9375 0.0625 3.9062 1.0032
13 12.9375 0.0625 3.9062 3.0193
10 10.0625 -0.0625 3.9062 3.8819
Total 15.7076
Degree of freedom: (r-1)*(c-1)
= (2-1)*(2-1)
= 1
Step 5: Decision
Chi (calculated): 15.7076
Chi (tabulated) : 3.841
Since the calculated value is very much higher than the
tabulated value at 1 degree of freedom and 95% confidence level
therefore null hypothesis rejected i.e. more buying intention of customers
depends upon gender.
55
2) To test whether more buying intention of customers (variable 1) has
any relation with age (variable 2)
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
More Buying &Age:-
Age Yes No Total
a 6 3 9
b 40 10 50
c 44 8 52
Total 90 21 111
56
O E (O-E)^2 (O-E)^2/E
6 7.2973 1.6829 0.2306
40 40.5405 02921 0.0072
44 42.1622 3.3775 0.0801
3 1.7027 1.6829 09884
10 9.4595 0.2921 0.0309
8 9.8378 3.3775 0.3433
Total 1.6805
Degree of freedom: (r-1)*(c-1)
= (3-1)*(2-1)
= 2
Step 5: Decision
Chi (calculated): 1.6805
Chi (tabulated) : 5.991
Since the calculated value is much less than the tabulated
value at 2 degree of freedom and 95% confidence level therefore null
hypothesis accepted i.e. more buying intention of customers is
independent of age.
57
3) To test whether unique shopping experience of customers (variable
1) has any relation with gender (variable 2)
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
Unique Shopping & Gender:-
Gender Yes No Total
Male 57 8 65
Female 44 5 49
Total 101 13 114
58
O E (O-E)^2 (O-E)^2/E
57 57.5877 0.3454 0.00599
44 43.4123 0.3454 0.00796
8 7.4123 0.3454 0.0466
5 5.5877 0.3454 0.0618
Total 0.1224
Degree of freedom: (r-1)*(c-1)
= (2-1)*(2-1)
= 1
Step 5: Decision
Chi (calculated): 0.1224
Chi (tabulated) : 3.8410
Since the calculated value is less than the tabulated value at
1 degree of freedom and 95% confidence level therefore null hypothesis
accepted i.e. unique shopping experience of customers is independent of
gender.
59
4) To test whether unique shopping experience of customers (variable
1) has any relation with age (variable 2)
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
Unique Shopping Experience & Age:-
Age Yes No Total
a 6 2 8
b 46 7 53
c 49 4 53
Total 101 13 114
60
O E (O-E)^2 (O-E)^2/E
6 7.0877 1.1831 0.1669
46 46.9561 0.9141 0.0195
49 46.9561 4.1775 0.0889
2 0.9123 1.1813 1.2968
7 6.0439 0.9141 0.1512
4 6.0439 4.1775 0.6912
Total 2.4145
Degree of freedom: (r-1)*(c-1)
= (3-1)*(2-1)
= 2
Step 5: Decision
Chi (calculated): 2.4145
Chi (tabulated) : 5.991
Since the calculated value is much less than the tabulated
value at 2 degree of freedom and 95% confidence level therefore null
hypothesis accepted i.e. unique shopping experience of customers is
independent of age.
61
5) To test whether customers of particular gender (variable 1) found the
products of VMM trendy and of latest style (variable 2)
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
Gender Yes No Total
Male 44 18 62
Female 24 10 34
Total 68 28 96
62
O E (O-E)^2 (O-E)^2/E
44 43.9167 6.9389 1.5800
24 24.0833 6.9389 2.8812
18 18.0833 6.9389 3.8549
10 9.9167 6.9389 6.9389
Total 15.2550
Degree of freedom: (r-1)*(c-1)
= (2-1)*(2-1)
= 1
Step 5: Decision
Chi (calculated): 15.255
Chi (tabulated) : 3.8410
Since the calculated value is very much greater than the
tabulated value at 1 degree of freedom and 95% confidence level
therefore null hypothesis rejected i.e. opinion that the products at Vishal
Mega Mart are trendy and of latest style depends upon gender.
6) To test whether customers of particular age group (variable 1) found
the products of VMM trendy and of latest style (variable 2)
63
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
Table 2
Age Yes No Total
a 4 2 6
b 29 107 39
c 34 14 48
Total 67 26 93
O E (O-E)^2 (O-E)^2/E
4 4.3226 0.1041 0.0241
64
29 28.0968 0.8158 0.0290
34 34.5806 0.3371 9.7481
2 1.6774 0.1041 0.0620
10 10.9032 0.8158 0.0748
14 13.4194 0.3371 0.0251
Total 9.9631
Degree of freedom: (r-1)*(c-1)
= (3-1)*(2-1)
= 2
Step 5: Decision
Chi (calculated): 9.9631
Chi (tabulated) : 5.991
Since the calculated value is much greater than the
tabulated value at 2 degree of freedom and 95% confidence level
therefore null hypothesis rejected i.e. opinion that the products at Vishal
Mega Mart are trendy and of latest style depends upon age.
7) To test whether price (variable 1) has any relation with gender
(variable 2)
65
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
Gender Yes No Total
Male 32 25 57
Female 31 13 44
Total 63 38 101
O E (O-E)^2 (O-E)^2/E
32 35.5544 12.6337 0.3553
31 27.4455 12.6344 0.3553
25 21.4455 12.6344 0.5891
66
13 16.5544 12.6337 0.7631
Total 2.0631
Degree of freedom: (r-1)*(c-1)
= (2-1)*(2-1)
= 1
Step 5: Decision
Chi (calculated): 2.0631
Chi (tabulated) : 3.8410
Since the calculated value is less than the tabulated value at
1 degree of freedom and 95% confidence level therefore null hypothesis
accepted i.e. price is independent of gender.
8) To test whether price (variable 1) has any relation with 0 (variable)
67
Step 1: State the null and alternative hypotheses.
H0 : variable 1 is independent of variable 2
Ha: variable 1 and variable 2 have a relationship
Step 2: Significance level
Significance level is 0.05 or 95% confidence level
Step 3: Test criterion
Applying Chi-square test
Step 4: Computations
Age Yes No Total
a 3 3 6
b 30 17 47
c 30 18 48
Total 63 38 101
68
O E (O-E)^2 (O-E)^2/E
3 3.7425 0.5513 0.1473
30 29.3168 0.4667 0.1592
3 2.2574 0.55145 0.2442
30 29.9405 3.54025 0.1182
17 17.6831 0.4666 0.0263
18 18.0594 3.5283 1.9537
Total 2.6489
Degree of freedom: (r-1)*(c-1)
= (3-1)*(2-1)
= 2
Step 5: Decision
Chi (calculated): 2.6489
Chi (tabulated) : 5.991
Since the calculated value is less than the tabulated value at
2 degree of freedom and 95% confidence level therefore null hypothesis
accepted i.e. price is independent of age.
Rank Summary of different sections
Table 3
69
Sections Ratings
Grocery 500
Apparel 457
Kids 462
Footwear 357
Household 490
Restaurant 370
Overall 457
Rank summary of different promotional factors
70
Table 4
Factors
Discount 487
Ambience 455
Time pass Destination 486
Self selection 562
Item under one roof 574
Rank summary of different influencing factors
71
Table 5
Factors
Rating of shopping
satisfaction
975
Rating billing counter
efficiency
800
Rating of lay out at VMM 805
Rating of product quality 1021
Rating of product variety 844
Rating of price satisfaction 825
Rating of clarity of signages 834
Rating of behavior of
employees
1003
72
Findings
Shopping behavior
It has been found that majority of the respondents i.e. more than 56%
people have started coming for shopping with their families after
Vishal Mega Mart started its operations in Dehradun.
More than 63% respondents agree that they buy more than planned
when they buy from Vishal Mega Mart.
After the application of Chi-square test it has been found that more
buying intention of customers depends upon the gender and after
considering table 1 we can easily infer that this tendency is more in
males than in females.
Further when we applied the same test to see whether more buying
intention of customers varies with the age, it was found that more
buying intention does not have any relation with the age.
65% respondents are of the opinion that they have not stopped visiting
the old shop they used to visit before Vishal Mega Mart came to
Dehradun.
73
Consumer perception and attitude towards VMM as a brand
Nearly 71% respondents believe that Vishal Mega Mart offers a
unique shopping experience.
The application of Chi-square test suggests that all the respondents
have a perception about unique shopping experience irrespective of
gender i.e. unique shopping experience opinion, at Vishal Mega Mart
does not depend whether a respondent is male or female.
The application of Chi-square test suggests that all the respondents
have a perception about unique shopping experience irrespective of
age also i.e. unique shopping experience opinion, at Vishal Mega
Mart does not depend on the age group of the respondents.
Nearly 33% respondents have rated the shopping satisfaction level at
Vishal Mega Mart as more than average.
Only 26% respondents have rated efficiency of billing counters at
Vishal Mega Mart as average.
About 29% respondents believe that layout of Mega Mart is just
average.
Approximately 73% respondents said they will definitely come again
to Vishal Mega Mart, only negligible minority refused to revisit
Vishal Mega Mart.
56% respondents have rated the grocery section of Vishal Mega Mart
as outstanding.
45% respondents believe the apparel section is just fair enough or
average.
43% respondents believe the kids section is just fair enough or
average.
74
More than half of the respondents i.e. 51% have rated the foot wear
section of Vishal Mega Mart as poor.
Nearly 75% respondents believe that the house hold section of Vishal
Mega Mart is above average.
Nearly 68% respondents have rated the restaurant of Vishal Mega
Mart to be below average.
More than 61% respondents have rated the Vishal Mega Mart on
overall basis to be average.
Table 3 clearly shows the rank wise likeliness of the following sections:
1. Grocery
2. Households
3. Kids
4. Apparel, Overall
5. Restaurant
6. Footwear
75
Perception about Products and Services
More than 43% respondents have rated the quality of products at
Vishal Mega Mart to be good enough.
38% respondents have rated the product variety available at Vishal
Mega Mart to be above average.
Nearly 48% respondents agree that the products offered at Vishal
Mega Mart are trendy and of latest style. Only 20% respondents
believe them not to be trendy and of latest style while the rest kept
num to the question.
Further the Chi-square test suggests that the opinion that the
products at Vishal Mega Mart are trendy and of latest style does
depend upon gender.
The Chi-square test is also indicating a relationship between age
and opinion that the products at Vishal Mega Mart are trendy and
of latest style. Further the table 2 shows that respondents with
higher the age perceived the products more trendy and of latest
style.
Majority of the respondents agree that the visual merchandising
techniques practiced by Vishal Mega Mart make them buy more
than what they initially plan.
76
Price
45% believe that keeping the quality of products in mind, most of
the products at Vishal Mega Mart are expensive. Only 26%
respondents believe them to be inexpensive while rest belongs to
neither of the view.
The application of Chi-square test shows no relation between
perception about price and gender i.e. male and female perceives
the price similarly.
Similarly Chi-square test shows no relation between perception
about price and age group i.e. members of all the age group
perceive the price similarly.
32% respondents have rated the price satisfaction level of products
at Vishal Mega Mart to be above average.
Majority of the respondents (55%) visit Vishal Mega Mart because
of less price or discounts offered.
Promotion
Nearly 43% respondents believe the discounts offered at Vishal
Mega Mart to be tempting.
37% respondents believe that they are generally aware of all offers
at Vishal Mega Mart whereas nearly equal number of respondents
i.e.38% believe that they are not aware of the offers at Vishal
Mega Mart.
77
Nearly 50% of the people have appreciated clarity of signages at
Vishal Mega Mart.
Only 36% respondents come to Vishal Mega Mart because they
find advertisements of Vishal Mega Mart effective.32%
respondents do not find the advertisement effective enough and thr
rest are of no opinion.
Most of the respondents (51%) visit Vishal Mega Mart because of
discounts offered.
36% respondents have rated ambience of Vishal Mega Mart as
above average whereas 25% have rated it to be below average, and
the rest are of no opinion.
36% respondents have rated Vishal Mega Mart as an average time
pass destination.
Nearly half of the respondents i.e. 48% have rated the self
selection facility at Vishal Mega Mart as good enough.
75% respondents visit Vishal Mega Mart because they find all
items under one roof.
Majority of the respondents have rated the behavior of the
employees of Vishal Mega Mart to be good enough.
Table 4 clearly shows the rank wise likeliness of the following influencing
factors:
1. All items under one roof
2. Self selection facility
3. Discount
4. A good time pass destination
5. Ambience
78
Table 5 clearly shows the rank wise likeliness of the following factors:
1. Product Quality
2. Behavior of Employees
3. Shopping satisfaction
4. Product variety
5. Clarity of signages
6. Price satisfaction
7. Layout of Vishal Mega Mart
8. Billing counter efficiency
79
Limitations
1) Many of the people were reluctant to give the information about their
income expenditure and age.
2) The Questionnaire was too lengthy and became time consuming.
3) The length of the questionnaire added to the cost constraint also
4) The sample size of the report is too small because of the time, costs and
accessibility constraints.
5) Respondents were not aware of all the sections of the store.
6) Some of the respondents were not literate enough to fill up the
questionnaire by themselves and thus needed to be guided. This became time
consuming.
7) Faced a bit of difficulty in getting permission from Vishal Mega Mart
80
Conclusion
Vishal Mega Mart has only recently started its operations in Dehradun and
one of the most prominent effects of its showroom is that people have started
coming for shopping with their families now. People do feel unique
shopping experience when they shop at Vishal Mega Mart. One strong point
of the store is that the ways products are displayed make people buy more
than what they plan initially i.e. visual merchandising techniques are
effectively followed to certain extent but these are not being followed
extensively as people have rated ambience and layout to be poor. Sections
most popular among customers are grocery and household but customers
complain of not much discount being offered in these sections. One of the
reasons that people come to Vishal Mega Mart is that they find all items
under one roof. The other factors that attract customers most are discounts
and self selection facility.
Presently the store is enjoying the benefits of monopoly as it is the
only organized general merchandising store in Dehradun though there are
more than one organized food retailers like Mc Donalds, Pizza Hut and
Narula’s operating in the city. But in the time to come many big players like
Big Bazaar, Reliance etc. are also planning to enter Dehradun. Thus the store
should recognize and improve upon its weak areas. One of its weak areas is
long waiting time at the billing counters. Further people have rated the
advertisement to be ineffective, inefficient and insufficient. The store should
also try and improve upon its quality and reduce costs as most of the people
81
are of the view that keeping the quality in mind the products offered at
Vishal Mega Mart are expensive. It is not attracting footfalls as a good time
pass destination.
On overall basis people find Vishal Mega Mart as average.
82
Recommendations
1. The study reveals that usually males buy more than what they plan
initially. Thus the store should maintain visual merchandising
techniques in the men section and improve the same in the sections
related to women.
2. People find the waiting time in the que of the billing counters long, so
the store should try and increase the number of billing counters.
Further the employees training can increase the efficiency and
decrease the waiting time.
3. There is vast scope of improvement in the layout of the store.
4. The sections that need attention are footwear, apparel and restaurant
5. The study reveals that people who belong to high age group find the
products of the store to be trendy and of latest style but the younger
generation does not hold the same opinion. So the store should
concentrate more on products related to younger generation.
6. Most of the people visit the store because of the discounts offered and
the store should try and make them more attractive.
7. Further people feel that there is not much discount offered in the
grocery section which is the most popular section. The store should
try and increase the discount in this particular section then only it will
be able to operate successfully in the competitive time to come.
8. People are generally unaware of offers at Vishal Mega Mart because
of poor advertising and promotional strategies. It should increase the
number of adds in the print media and should also give adds in the
local electronic media.
83
9. Clarity of signages can be improved by increasing the number of
signages and making them attractive.
10. No. of footfalls can be increased by improving upon the ambience
and the restaurant.
11. Till date Vishal Mega Mart is the only player in organized general
merchandising in Dehradun and thus is enjoying the benefits of
monopoly. In the absence of competition people are finding it fair
enough because there is no other such store so far with which its
performance can be compared. But in the time to come many big
players like Big Bazaar, Reliance etc. are also planning to enter
Dehradun. Thus it should recognize and improve upon its weak areas
and convert its strong areas into strategic advantage.
84
References
1. Retail management by Chetan Bajaj.
2. Marketing Management by Philip Kotler.
3. Economic survey 2005-2006 by govt. of India.
4. Marketing research by Malhotra
5. Ministry of Agriculture Annual Report 2005-06
6. www.mpmandiboard.com
7. www.pantaloon.com
8. www.rpggroup.com
9. www.ficci.com
10. www.retailbiz.com
11. www.fciweb.nic.in
12. http://fcamin.nic.in
13. www.indiatimes.com
14. www.mckinseyquarterly.com
15. www.atkearney.com
16. www.retailyatra.com
85
AppendixObjective: To study the impact of Vishal Mega Mart on Buying behavior of customers in Dehradun City *
Questionnaire
Name ……………………………… Age: ……….
Address…………………………………………… Contact no.………………………… ….………………………………………...
Gender ……….. Occupation ……………………….
Monthly Income (in Rs.)a. < 5000 b. 5000-10000 c. 10000-20000 d. 20000-30000 e. > 30000
Total Monthly expenditure on shopping
a.< 1000b. 1000-2000 c.2000-3000 d. 3000-5000 e. >5000
Shopping Behavior
1) I have started coming for shopping with my family now
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
2) When I buy from VMM, I buy more than what I plan a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
3) I have stopped visiting the old shop I used to visit a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
Consumer perception & attitude towards VMM as a brand
4) Vishal Mega Mart offers a unique shopping experience
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
5) Rate your shopping satisfaction level at VMM on the scale of 1-10
6) Rate efficiency at billing counters of VMM on the scale of 1-10
7) Rate layout of VMM on the scale of 1-10
86
1 52 3 4 6 7 8 9 10
1 52 3 4 6 7 8 9 10
1 52 3 4 6 7 8 9 10
1 52 3 4 6 7 8 9 10
8) I will definitely come again to VMM for shopping
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
9) Rate following sections of Vishal Mega Mart on a scale of 1 to 5 (1 being poor and 5 being Outstanding)
a. Grocery/ b. Apparel Canned food
c. Kids d. Foot wear
e. House hold g. f. Others
h. Restaurant i. Overall
Perception about Products and services
10) Rate quality of products at VMM on the scale of 1-10
11)Rate product variety at VMM on the scale of 1-10
12) Products offered at Vishal MM are trendy and of latest style
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
13) The way products are displayed makes me buy more than what I plan
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
Price14) Keeping the quality of products in mind, most of products at VMM are expensive
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
15) Rate your satisfaction level regarding prices of products at VMM on the scale of 1-10
16) I visit VMM because of less price or discounts offered
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
17) I generally buy those items which are offered with discounts
a) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
87
1 52 3 41 52 3 4
1 52 3 41 52 3 4
1 52 3 41 52 3 4
1 52 3 4 1 52 3 4
1 52 3 4 6 7 8 9 10
1 52 3 4 6 7 8 9 10
1 52 3 4 6 7 8 9 10
Promotions
18) The discount offers at VMM are usually temptinga) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
19) I am generally aware of all offers at VMMa) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
20) Rate your satisfaction level regarding the clarity of signages carrying information about offers and discounts inside VMM
21) I come to VMM because I find advertisements of VMM effectivea) Strongly agree b) Agree c). Neither agree nor disagree d) Disagree e) Strongly Disagree
22) Rate the following influencing factors on the scale of 1 to 5 (1 being least influential & 5 being most influential) which make you visit Vishal Mega Mart?
b. Discount
d. Ambience
e. A good time pass destination
g. Self selection Facility
e. All items under one roof
23) How would you rate the behavior of employees on the scale of 1-10
88
1 52 3 4 6 7 8 9 10
1 52 3 4 6 7 8 9 10
1 52 3 4
1 52 3 4
1 52 3 4
1 52 3 4
1 52 3 4