ELK ASIA PACIFIC JOURNAL OF MARKETING AND … STUDY ON CONS… · microwaves or consumer...
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ELK ASIA PACIFIC JOURNAL OF MARKETING AND RETAIL MANAGEMENT
ISSN 0976-7193 (Print) ISSN 2349-2317 (Online) Volume 4 Issue 3, July (2013)
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A STUDY ON CONSUMER PREFERENCE TOWARDS PURCHASE OF ELECTRONIC
CONSUMER DURABLES FROM RETAIL MALLS
Dr. Ritesh K. Patel
Academic Associate, Marketing Area,
Indian Institute of Management,
Ahmedabad
ABSTRACT
a)
b)
Keywords: Electronic Retailing, Consumer Preference, Consumer Behaviour, Purchase Behaviour, White
Goods Retailing, organized retailing, etc.
Introduction:
Durable goods are those which
don’t wear out quickly, yielding utility
over time rather than at once. Examples
of consumer durable goods include
electronic equipment, home furnishings
and fixtures, photographic equipment,
leisure equipment and kitchen
appliances. They can be further classified
as either white goods, such as
refrigerators, washing machines and air
conditioners or brown goods such as
blenders, cooking ranges and
microwaves or consumer electronics such
as televisions and DVD players. Such
big-ticket items typically continue to be
serviceable for three years at least and
are characterized by long inter-purchase
times.
Performance
In the past 10 years, the global
market has witnessed a surge in demand
as economies such as Brazil, Mexico,
India and China have opened up. The
consumer durables industry has always
The Current study pertains to find the universe of the retailer present in Ahmedabad selling
electronic consumer durables within retail malls, to find the market size in term of sales in units of
organized retail mall, to find the why particular product of electronic product sale from the retail mall
and which factor influence more consumer preference in purchasing a particular product from organized
retail mall. Descriptive research was undertaken and close ended questionnaires were administered
through personal interviews and telephonic interviews on consumers who had purchased electronic
consumer durables from organized retail malls with in past six months. In the introduction research
focuses on current scenario of the retail business in India and what is future potential. The researcher has
used statistical techniques such as Chi-square analysis and ANNOVA to reach at conclusion of this study.
Our study found that the factors like specific cost benefit, technological factors, promotional factors,
social-culture, trust factors, satisfaction with retail mall are most important factors which influence the
consumer preference. Demographical factors such as age, occupation, education, income and family
structure also plays a key role in selecting a retail mall and mall layout preferences also differs based on
these demographical factors.
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exhibited impressive growth despite
strong competition and constant price
cutting, and the first contraction since the
2001 dot-com bust has been due to the
global recession. Given the strong
correlation between demand for durables
(both new and replacements) and income,
the industry naturally suffered during the
2008-2009 period. However, projections
for current year going forward are very
optimistic, as consumers resume
spending, and producers launch new
enticing variants to grab new customers.
Leading players include Sony
Corporation, Toshiba Corporation,
Whirlpool Corporation and Panasonic
Corporation.
Developing countries such as
India and China have largely been
shielded from the backlash of the
recession, as consumers continued to buy
basic appliances. In fact, China has been
ranked the second-biggest market in the
world for consumer electronics. Despite
the recession, their strong domestic
economy and growing high-income
population have buoyed demand leading
to aggressive market growth.
There is growing interest for new
age products such as LCD-TVs and DVD
players. Meanwhile, the penetration of
the basic, largest dollar items such as
ovens, washing machines and
refrigerators is also increasing. India too,
has witnessed a similar phenomenon,
with the urban consumer durables market
growing at almost 10 %p.a., and the rural
durables market growing at 25% p.a.
Some high-growth categories within this
segment include mobile phones, TVs and
music systems.
The Indian consumer durables
industry has witnessed a considerable
change in the past couple of years.
Changing lifestyle, higher disposable
income coupled with greater affordability
and a surge in advertising has been
instrumental in bringing about a sea
change in the consumer behavior pattern.
Apart from steady income gains,
consumer financing and hire-purchase
schemes have become a major driver in
the consumer durables industry.
In the case of more expensive
consumer goods, such as refrigerators,
washing machines, color televisions and
personal computers, retailers are joining
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forces with banks and finance companies
to market their goods more aggressively.
In addition, change in policy, such as the
WTO FTA in 2005 resulted in zero
customs duty on imports of all telecom
equipment, thereby improving the pricing
and affordability of imported goods.
Challenges
The biggest threats to the local
industry going forward are supply-related
issues pertaining to distribution and
infrastructure, as well as demand issues
due to competition from imported goods.
The lack of well-developed distribution
networks makes it especially challenging
to penetrate the fastest growing rural
areas economically. In addition, regular
power cuts and poor road linkages make
systematic production, assembly and
delivery problematic.
On the demand side, customers
have increasing choice from both
domestically produced and imported
goods, with similar features. This
homogeneity makes it difficult for
players to remain ahead of the
competition.
MNCs hold an edge over their
Indian counterparts in terms of superior
technology combined with a steady flow
of capital, while domestic companies
compete on the basis of their well-
acknowledged brands, an extensive
distribution network and an insight in
local market conditions. The largest
MNCs incorporated in India are
Whirlpool India, LG India, Samsung
India and Sony India and home grown
brands are Videocon, Godrej Industries
and IFB.
Future Prospects
Overall, the industry’s future
remains robust, and interested applicants
will benefit from a holistic learning
experience; Many of the research, sales,
marketing and advertising related roles
will necessitate a good on-the-job
learning of target audiences, who may
well be a totally new segment, based in
never-before visited Class II and III
towns. In addition, those with technical
backgrounds will be able to leverage
their knowledge and experience to
constantly develop and innovate the
product variants. With more MNCs
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growing their Indian businesses, there is
great potential to also learn best-in-class
systems and management skills.
Literature Review
According to a McKinsey Global
Institute (MGI) study titled 'Bird of
Gold': The Rise of India's Consumer
Market, the total consumption in India is
likely to quadruple making India the fifth
largest consumer market by 2025. Urban
India will account for nearly 68 per cent
of consumption growth while rural
consumption will grow by 32 per cent by
2025.
India ranks first in the Nielsen
Global Consumer Confidence survey
released in October 2010. “India is one of
the fastest growing markets in the world
and the current consumer belief that
recession would soon be a thing of the
past has filled Indians with confidence,”
said Piyush Mathur, Managing Director,
South Asia, The Nielsen Co. With 129
index points, India ranked number one in
the recent round of the survey, followed
by Thailand (117) and Australia (115).
According to recent reports, the
Indian consumer sector is attracting more
interest from both private equity (PE) and
mergers and acquisitions (M&A).
“This heightened level of PE
interest is evidenced by three PE deals
which have happened in the consumer
space in quick succession in the last few
months — Henderson Equity Partners'
investment in Genesis Colors, IL&FS'
private equity investment in The Mobile
Store and investment by Bain Capital &
TPG Growth in Lilliput Kidswear,” said
Ajay Arora, Partner, Transaction
Advisory Services, Ernst & Young.
Consumer Durables
The Consumer durables recorded
a growth of 31 per cent in October 2010.
According to the Consumer Electronics
and Appliances Manufacturers
Association (CEAMA), the consumer
durables and electronics sector has
registered a 12-13 per cent growth in
2010. According to the industry body, the
total size of consumer durables and
electronics sector is around US$ 7.85
billion. The sales of display category
products such as Flat Panel Displays --
LCDs, PDPs rose phenomenally by 45
per cent this year, while the sales of air
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conditioner and home appliances surged
by nearly 12 per cent and 23 per cent
respectively.
The Indian consumer electronic
industry represents immense growth
potential for years to come. The industry
is expected to grow at a CAGR of nearly
19 per cent during 2010-2013 to US$ 9.5
billion, according to a research report
“Global Consumer Electronics Market
Forecast to 2013”, by RNCOS.
Rajesh Rajaguru and Margaret
J Matanda state about consumer
perception of store and product attributes
and its effect on customer loyalty within
the Indian retail sector. Store attributes
are assessed in the dimensions of store
appearance, service quality and
convenience of store. Product attributes
dimensions investigated include product
quality, price and availability of new
products. In this study, customer loyalty
is considered as repeated purchasing
behaviour of consumer towards a store.
The results suggest that except product
price, other store and product attributes
have positive effects on customer loyalty.
J. Clement Sudhahar,
Duraipandian Israel, A. Prabhu Britto
and M. Selvam presented Service
Loyalty Measurement Scale: A
Reliability Assessment. This research
article demonstrates the application of
confirmatory factor analysis (CFA) in the
scale development process of measuring
the construct service loyalty
(SERVLOYAL). The conceptualization
of SERVLOYAL is presented, the
dimensions forming the SERVLOYAL
construct are figured out. The nitty-gritty
of CFA is discussed.
Maive Suuroja (2003) states
about service quality. Conceptualization
& service quality perception have been
the most debated and controversial topics
in the services marketing literature to
date. This paper analyzes the main
debates about how to conceptualize
service quality about the nature of
perceived service quality (perception of
performance vs. disconfirmation) and the
formation of service quality (single
construct vs. aggregation of several
dimensions). The paper explores the
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main theoretical viewpoints and seeks
supportive empirical evidences.
B.B Goyal, Meghna Aggarwal
Jr. (2009) presented empirical study on
organized retailing market in India.
Retail sector and its environment have
experienced radical changes in the last
decade. Most of the challenges are due to
changing demographic, social, politic,
business climate, and changes in the
retail sector including the addition of
Wall Mart, Carrefour, K-Mart, etc. This
paper examines the relative importance
of the various products purchased at
organized retail outlets and the choice of
format, the consumer has when
purchasing a product. The paper also
discusses the expected development of
organized retail in the future, focusing on
aspects with potential effects on
consumer purchasing behavior.
Mohammad Amin (2008)
presented Retailing in India: Assessing
the Investment Climate the paper
attempts to highlight the main problems
confronting the retail sector in 41 large
cities of India. The analysis reveals that
inadequate power supply, access to
finance and corruption are the three most
severe problems. He has also shown that
while labor laws are not too important an
obstacle, they are beginning to make
their presence felt. Competition in the
sector is also low by international
comparisons and pro-competitive
reforms could hold the key for a
significant improvement in retailing
efficiency in the country. Lastly, he finds
little evidence of a negative effect of
large on small retailer.
Marketing strategy
Dr. S. Sarvana (2010) In his
article in Indian Journal of marketing
entitled "A study an consumer behavior
of woman with special reference to
durable goods in coimbatore city- Tamil
Nadu", found that education plays a
keyrole in shopping behavior and higher
income group respondents shop as and
when they like; In majority women plays
a major role in purchase decision and
they prefer to prepare an item list before
purchasing. Family influences the
consumer’s behavior to a greater extent
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while purchasing. Majority of the
respondents prefer to purchase products
from departmental store rather than any
other shop. Most of the people
recommend the product purchased by
them to others. People give preference to
product quality. Most of them satisfied
with the factors such as price, quality,
and availability of service and design of
durable goods. In the present study we
are internal to know wither people in
Allahabad City as satisfied with the
price, quality, availability, service and
design of electronic goods.
Delsapratim Purkayastha (Sep.
2009) In his study published in case folio
the Icfai Journal of management case
studies entitled, "Realities of emerging
markets : Some lessons from uni lever's
strategy for lifebuoy & Sunsilk in India"
The case focuses on HUL'S strategy for
growing two mature brands with mass
appeal Life buoy and Sunsilk by
targeting new segments in innovative
ways. With India being waived as a test
market for emerging markets strategies
analysts felt that the learning from these
initiatives would help unilever develop a
strong presence in other 'emerging
markets strategies as well. The case tries
to dispel the myth that emerging markets
are only about devising strategies to
target the huge BOP segment Analysts
are of the opinion that HUL'S success in
India was due to its ability to cater to all
segments by adapting products, prices
and promotion to each of them.
Indu P and Vivek Gupta (Sep.
2007) In their case study published in
case folio the Icfai journal of
management case studies entitled
"Marketing strategies of Harley
Davidson" had viewer that the marketing
strategies of the usbased motorcycle
manufacturer Harley Davidson Motor
Company (H-D) uses the marketing mix
element including product, price,
distribution and promotion strategies of
the company. Notwithstanding the
success of H-D'S marketing strategies,
some critics were of the opinion that the
H-D was not focusing on its core
competency i.e. motorcycle and is
diluting its brand. The company has a
long way to go in maintaining good
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relationships with the company's
customers.
Debapratim Purkayastha and
Rajiv Fernando (May. 2007) In case
study published in case folio the Icfai
Journal of management case studies
entitled "Innovative marketing strategies
of Lush fresh handmade cosmetics",
found that the absence of a regular
marketing department might prove
counterproductive for the company. With
the competition in the ethical cosmetics
market expected to increase some experts
also felt that lush, which had thus for
remained an independent, The company
did not have a traditional marketing
department and retied more an
unconventional products, wacky product
naves in store advertising, word of month
advocacy and public relation.
In the case published in case
folio entitled "Market expansion
strategies of Maruti Udyog", it was
found that market expansion strategies
was based on the introduction of new
models, and upgrading of existing
models in response to market demand.
Promotional offers were undertaken by
NUL in its quest for market dominance
the company was able to would itself
according to the market requirements by
entering new domains and reaching out
to potential customers through its 'True
Value' and other promotional offers.
Bansh Hari (2002) In his thesis
entitled "Marketing of electronic
products in India with special reference
to computer and television industries",
that electronic product is looked upon by
most people almost as a natural
phenomenon beyond people's control
many people have accepted marketing of
electronic products as their career and
electronic products have greater effect an
society. Attitude of people towards
marketing is positive and marketing of
electronic products powerful enough to
promote consumers cultures & value. It
is an investment of the future which
manufactures expect will pay off many
times more. The study is restricted only
up to marketing of electronic product
which exclusively are T.V. and
computer, whereas this study covers
electronic goods in entertainment sector
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which includes T.V., DVD, Music
System, Play Station etc. It concentrates
on the marketing strategy adopted by the
companies.
Greg Laird and Robert R.
Harman (1997) In their research paper
entitled, "Linking marketing strategy to
customer value: Implication for
technology marketers", had presented a
model that identifies the factors that drive
customer perceptions of value and
describes linkages with marketing
strategy. The paper argues that a
thorough understanding of customer
value drivers can increase the
effectiveness of marketing strategy.
Improved customer intimacy is the major
pay off. The value driver analysis can
provide critical insights for product and
service development and operational
efficiency the paper proposes a model for
linking marketing strategy to the
customer's perceptions of value. It
suggests that a deep knowledge of
customer value can improve the
processes that create and deliver that
value. Anticipating changes in customer
value is critical to the success. Additional
attention should be placed an
understanding the impact of the buying
situation several.
Consumer behaviour
Judith chevalier and Sustan
Goolsbec (Nov. 2009) In their article in
the quarterly journal of economics "All
durable goods consumers forward-
looking?", mentioned that the consumers
think about the future when the make
durable goods purchase and look very
much like the forward looking rational
expectation consumer of the neoclassical
model. This is apparent in the purchase
behavior of the students and in the
pricing behavior of sellers. People are
willing to pay less or are less willing to
buy products for which the projected
future life is short.
Martin R Lautnan and
Koenpouwels (Sep. 2009) In their article
given in Journal of advertising research
entitled "Metrics that matter: Identifying
the importance of consumer wants and
needs", suggested that there is a need for
the development of data fusion models
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that capitalize on the advantages and
disadvantages of various important
assessment methodologies, multistage
models reflecting hierarchical consumer
decision making and competitive set
formation would see to have potential
value.
Vinod Kumar (1993) In his
thesis on "A study of impact of
consumerism and marketing practices",
found that business competitions
resulting in intense sales promotion and
marketing efforts tend to shake the
confidence of consumers. There is a
decline in the quality standards of
products because of lowering of prices
either to meet competition or the poor
purchasing power of the consumer
increases in the market imperfection
which lead to an information gap
between the manufacturers/ traders and
the consumers because of impersonalized
selling. There is an increase in the
number of goods and services in the
economy of which the consumer has no
previous experience resulting in error in
his decision making.
Rizwana Ahmed (1992)In her
thesis entitled "Consumer buying
decision for consumer durable goods"
opined that, the durable goods are
generally purchased in recognition of a
need that has to be fulfilled of the durable
goods, those that fall in category of what
we term as 'gadgets' or appliances are
generally purchased for they offer come
convenience by way of reducing labor or
time or effort involved in a process such
as a food processor, microwave cooking
oven or refrigerator, washing machine
etc. She of the new that the consumers
are more reluctant to admit the intangible
appeals of the durable goods especially
those pertain to their status or social
standing but more admit that the practice
aspects of the products attracted them to
purchase it. The consumer behavior is
always subject to change and a host of
factors influence the purchase decision of
consumer for durable goods. The study
looks into the internal determinate of
consumer behavior such as need, motive
perception attitudes, learning &
personality whereas the present scare
investigated into the environment factors,
a buyers characteristics their decision
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process and buyer's response in regard to
the marketing strategy adopted by the
electronic companies.
Problem Definition
Consumers frequently change
their shopping behavior. This is a major
issue for company to predict their future
and profitability. But main point is that
why consumer change their choices
frequently, and why they purchase some
product and why not other one. So that
my problem statement is that,
Management Decision Problem
Should a retail mall keep all
electronics consumer durable
product?
Marketing Research problem
1) Broad Statement of the
problem
To determine consumers
prefer some specific brand in
electronics consumer durable
product to purchase from retail
mall?
2) Specific Components of the
problem
1. What Demographical Factors
will operate?
2. Which Specific Cost Benefit
will affect preferences?
3. How far Technological
Factors influence preference
of consumer?
4. Which Promotional Factors
are attracting the customer?
5. Any Social-Culture Factors will
affect the consumer behavior?
6. How much Trust Factors
influence to purchase from retail
mall?
7. How is the customer Satisfaction
with retail mall?
Analysis and Interpretation
The analysis of the data is done by
using different tests like Chi-square
analysis, and discussed in the upcoming
parts. The results got through these tests
are then interpreted accordingly and final
outcome has been achieved.
Chi-square Analysis
1. Chi-square between Different
products of electronic consumer
durable to age.
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Ho: There is no significant
impact age on purchasing different
product of electronic consumer retail
mall.
H1: There is significant impact
age purchasing different product of
electronic consumer retail mall.
PRODUCT CAT. Q1 * AGE Cross tabulation
Table 1 AGE
Tota
l
18-
25
26-
35
36-
45
46 TO
Above
PRODUCT CAT.
Q1
A/C 19 15 13 22 69
TV 22 28 26 12 88
HOME
THEATER 22 21 20 15 78
REFRIGERATOR 13 22 21 9 65
Total 76 86 80 58 300
Chi-Square Tests
Table : 2 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 14.047a 9 .121
Likelihood Ratio 13.634 9 .136
Linear-by-Linear Association .475 1 .491
N of Valid Cases 300
Chi-Square Tests
Table : 2 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 8.270a 6 .219
Likelihood Ratio 9.037 6 .172
Linear-by-Linear Association .597 1 .440
N of Valid Cases 300
The table 1of Chi-Square Tests
shows that different products of
electronic consumer retail mall have a
negative relation with the age as the Chi-
square is 14.047. The significance level
of 0.121indicates that this Chi-square is
statistically no significant. So that we
reject alternate hypothesis H1, and accept
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null hypothesis Ho, that there are no
significant impact age on purchasing
different product of electronic consumer
retail mall.
As the table 1of Cross tabulation shows
that there is no any direct relation with
the particular product purchase from
electronic consumer durable in different
age group. As per the table all the
different age groups (18-25, 26-35, 36-
45, 46-Above) have purchase different
products (A/C, T.V., Home Theater, and
Refrigerator) from retail mall, so that
there is no difference in choice to
purchase product from CDRM.
2. Chi-square between Different
products of electronic consumer
durable to occupation.
Ho: There is no
significant impact occupation on
purchasing different product of
electronic consumer retail mall.
H1: There is significant
impact occupation on purchasing
different product of electronic
consumer retail mall.
The table 2 of Chi-Square Tests
shows that different products of
electronic consumer retail mall have a
negative relation with the occupation as
the Chi-square is 8.27. The significance
level of 0.219indicates that this Chi-
square is statistically no significant. So
that we reject alternate hypothesis H1,
and accept null hypothesis Ho, that there
are no significant impact occupation on
purchasing different product of electronic
consumer retail mall.
PRODUCT CAT. Q1 * OCCUPATION Cross tabulation
Table : 2 OCCUPATION
Total Job Business Others
PRODUCT CAT. Q1 A/C 28 39 2 69
TV 32 47 9 88
HOME THEATER 38 33 7 78
REFRIGERATOR 24 32 9 65
Total 122 151 27 300
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As the table 2 of Cross tabulation
shows that there is no any direct relation
with the particular product purchase from
electronic consumer durable in different
occupation group. As per the table all the
different occupation groups (Job,
Business and others) have purchase
different products (A/C, T.V., Home
Theater, and Refrigerator) in which the
occupation in job and business people
more prefer to purchase product from
ECDRM than in other occupation.
3. Chi-square between Different
products of electronic consumer
durable to education.
Ho: There is no
significant impact education on
purchasing different product of
electronic consumer retail mall.
H1: There is significant
impact education on purchasing
different product of electronic
consumer retail mall.
PRODUCT CAT. Q1 * EDUCATION Cross tabulation
Table : 3 EDUCATION
Total Undergraduate Graduate Postgraduate
PRODUCT
CAT. Q1
A/C 25 25 19 69
TV 30 37 21 88
HOME
THEATER 27 32 19 78
REFRIGERATOR 30 25 10 65
Total 112 119 69 300
The table 3 of Chi-Square Tests shows
that different products of electronic
consumer retail mall have
a negative relation with the education as
the Chi-square is 4.517. The significance
level of 0.607 indicates that this Chi-
square is statistically no significant. So
that we reject alternate hypothesis H1,
and accept null hypothesis Ho, that there
are no significant impact education on
purchasing different product of electronic
consumer retail mall.
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Chi-Square Tests
Table : 3
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 4.517a 6 .607
Likelihood Ratio 4.617 6 .594
Linear-by-Linear Association 2.433 1 .119
N of Valid Cases 300
As the table 3 of Cross tabulation
shows that there is no any direct relation
with the particular product purchase from
electronic consumer durable in different
education group. As per the table all the
different education groups (U.graduate,
Graduate, Post Graduate) have purchase
different products (A/C, T.V., Home
Theater, and Refrigerator) in which all
the level of education equally prefer to
visit ECDRM to purchase a different
products.
4. Chi-square between Different
products of electronic consumer
durable to education.
Ho: There is no
significant impact income on
purchasing different product of
electronic consumer retail mall.
H1: There is significant
impact income on purchasing
different product of electronic
consumer retail mall.
PRODUCT CAT. Q1 * INCOME Cross tabulation
Table :4 INCOME
Total
up to
10,000
10,001 to
25,000
25,001 and
Above
PRODUCT
CAT. Q1
A/C 11 28 30 69
TV 11 45 32 88
HOME
THEATER 16 32 30 78
REFRIGERATOR 11 38 16 65
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PRODUCT CAT. Q1 * INCOME Cross tabulation
Table :4 INCOME
Total
up to
10,000
10,001 to
25,000
25,001 and
Above
PRODUCT
CAT. Q1
A/C 11 28 30 69
TV 11 45 32 88
HOME
THEATER 16 32 30 78
REFRIGERATOR 11 38 16 65
Total 49 143 108 300
Chi-Square Tests
Table :4 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 8.453a 6 .207
Likelihood Ratio 8.647 6 .194
Linear-by-Linear Association 2.995 1 .084
N of Valid Cases 300
The table 4 of Chi-Square Tests
shows that different products of
electronic consumer retail mall have a
negative relation with the income as the
Chi-square is 8.453. The significance
level of 0.207indicates that this Chi-
square is statistically no significant. So
that we reject alternate hypothesis H1,
and accept null hypothesis Ho, that there
are no significant impact income on
purchasing different product of electronic
consumer retail mall.
As the table 4 of Cross tabulation
shows that there is no any direct relation
with the particular product purchase from
electronic consumer durable in different
education group. As per the table all the
different education groups (Up to 10,000,
10,000 to 20,000, 20,000 and above)
have purchase different products (A/C,
T.V., Home Theater, and Refrigerator) in
which all the level of income people are
not equally prefer to visit ECDRM to
purchase a different products. As the
table up 10,000 income people less prefer
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to purchase from ECDRM than other
income groups.
5. Chi-square between Different
products of electronic consumer
durable to education.
Ho: There is no
significant impact family
Structure on purchasing different
product of electronic consumer
retail mall.
H1: There is significant
impact family Structure on
purchasing different product of
electronic consumer retail mall.
PRODUCT CAT. Q1 * FAMILY STRU. Cross tabulation
Table : 5 FAMILY STRU.
Total
Individual
Joint
Family
Nuclear
Family
PRODUCT CAT.
Q1
A/C 22 29 18 69
TV 32 29 27 88
HOME
THEATER 36 18 24 78
REFRIGERATOR 28 16 21 65
Total 118 92 90 300
Chi-Square Tests
Table :5
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 8.118
a 6 .230
Likelihood Ratio 8.036 6 .236
Linear-by-Linear Association .346 1 .556
N of Valid Cases 300
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The table 5 of Chi-Square Tests shows
that different products of electronic
consumer retail mall have a negative
relation with the family structure as the
Chi-square is 8.118. The significance
level of 0.230indicates that this Chi-
square is statistically no significant. So
that we reject alternate hypothesis H1,
and accept null hypothesis Ho, that there
are no significant impact family structure
on purchasing different product of
electronic consumer retail mall.
As the table 5 of Cross tabulation
shows that there is no any direct relation
with the particular product purchase from
electronic consumer durable in different
education group. As per the table all the
different education groups (Up to 10,000,
10,000 to 20,000, 20,000 and above)
have purchase different products
(Individual, joint family and nuclear
family) in which all the level of family
structure people are equally prefer to visit
ECDRM to purchase a different products.
As this can be see in the table 5.
6. Chi-square between Baying
particular brands of electronic
consumer durable to income.
Ho: Income of customer
does not influence buying
particular brand from ECDRM.
H1: Income of customer
does influence buying particular
brand from ECDRM.
SAT.RM Q18 * INCOME Cross tabulation
Table : 6 INCOME
Total up to
10,000
10,001
to25,000
25,001 and
Above
SAT.RM Q18 S. Agree 5 30 20 55
Agree 21 28 25 74
Nutral 3 21 20 44
Disagree 13 40 23 76
S. Disagree 7 24 20 51
Total 49 143 108 300
Chi-Square Tests
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Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 15.498a 8 .050
Likelihood Ratio 15.377 8 .052
Linear-by-Linear Association .036 1 .849
N of Valid Cases 300
The table 6 of Chi-Square Tests shows
that different income of customer prefer
different brand from ECDRM, and they
have a positive relation with the income
as the Chi-square is 15.498. The
significance level of 0.05indicates that
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, Income
of customer does influence buying
particular brand from ECDRM.
As per the table of the cross
tabulation 43% people strongly agree or
agree about specific band prefer from the
ECDRM, while 15% people give a
neutral answer and 42% people give
response disagree or strongly disagree.
But from the table 4 found that the more
people have an income between 10000-
20000 and they give mix responses.
7. Chi-square between Sales
schemes of ECDRM to
customer satisfaction toward
retail mall services.
Ho: Sales scheme is
increase you’re saving does not
influence satisfaction with the
retail mall services in ECDRM.
H1: Sales scheme is
increase you’re saving does
influence satisfaction with the
retail mall services in ECDRM.
SAT.RM Q19 * SCB Q3 Cross tabulation
Table : 7 SCB Q3
Total S.Agree Agree Nutral Disagree S. Disagree
SAT.RM Q19 S.Agree 12 18 14 3 2 49
Agree 35 54 42 21 4 156
Nutral 8 13 23 17 3 64
Disagree 3 9 4 8 4 28
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S.Disagree 0 0 1 1 1 3
Total 58 94 84 50 14 300
Chi-Square Tests
Table : 7 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 35.713a 16 .003
Likelihood Ratio 33.425 16 .006
Linear-by-Linear Association 19.604 1 .000
N of Valid Cases 300
The table 7 of Chi-Square Tests
shows that different sales schemes
increase saving of customer that
influence satisfaction toward retail mall
services ECDRM, and they have a
positive relation with the income as the
Chi-square is 35.713. The significance
level of 0.003 indicates that this Chi-
square is statistically significant. So that
we reject null hypothesis Ho, and accept
alternate hypothesis H1, Sales scheme is
increase you’re saving does influence
satisfaction with the retail mall services
in ECDRM.
As per the table 7 of cross
tabulation we can see that 49 and 156
people have mark on respectively
strongly agree and agree in the
satisfaction toward retail mall services
and 58 and 94 people mark on respective
strongly agree and agree in scheme
increase customer saving while 84 people
give neutral answer.
8. Chi-square between age of
customer and satisfaction
toward retail mall layout.
Ho: Age group of the
people does not influence
satisfaction with the retail mall
layout in ECDRM.
H1: Age group of the
people does influence satisfaction
with the retail mall layout in
ECDRM.
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SAT.RM Q20 * AGE Cross tabulation
Table : 8 AGE
Total 18-25 26-35 36-45 46 TO Above
SAT.RM Q20 S. Agree 21 27 27 20 95
Agree 37 29 38 24 128
Nutral 10 21 10 11 52
Disagree 5 9 4 3 21
S. Disagree 3 0 1 0 4
Total 76 86 80 58 300
Chi-Square Tests
Table : 8 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 15.836a 12 .199
Likelihood Ratio 16.278 12 .179
Linear-by-Linear Association 1.964 1 .161
N of Valid Cases 300
The table 8 of Chi-Square Tests
shows that different age group of
customer that does not influence
satisfaction toward retail mall services in
ECDRM, and they have a negative
relation with the age and layout of
ECDRM, as the Chi-square is 15.836.
The significance level of 0.119indicates
that this Chi-square is statistically not
significant. So that we reject alternative
hypothesis H1, and accept null
hypothesis H1, Age group of the people
does not influence satisfaction with the
retail mall layout in ECDRM.
As per the table 8 of cross
tabulation we can see that 95 and 128
people have mark on respectively
strongly agree and agree in the
satisfaction toward retail mall layout
services and the result is found that age is
not influence on the satisfaction of the
ECDRM’s layout.
9. Chi-square between
education of customer and
satisfaction toward retail mall
layout.
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Ho: Education of the
people does not influence
satisfaction with the retail mall
layout in ECDRM.
H1: Education of the
people does influence satisfaction
with the retail mall layout in
ECDRM.
SAT.RM Q20 * EDUCATION Cross tabulation
Table : 9 EDUCATION
Total Undergrad. Graduate Postgrad.
SAT.RM Q20 S.Agree 34 37 24 95
Agree 50 53 25 128
Nutral 18 22 12 52
Disagree 9 5 7 21
S.Disagree 1 2 1 4
Total 112 119 69 300
Chi-Square Tests
Table : 9 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 4.104a 8 .848
Likelihood Ratio 4.242 8 .835
Linear-by-Linear Association .016 1 .900
N of Valid Cases 300
The table 9 of Chi-Square Tests
shows that different education of
customer that does not influence
satisfaction toward retail mall layout in
ECDRM, and they have a negative
relation with the age and layout of
ECDRM, as the Chi-square is 4.104. The
significance level of 0.848indicates that
this Chi-square is statistically not
significant. So that we reject alternative
hypothesis H1, and accept null
hypothesis H1, Education of the people
does not influence satisfaction with the
retail mall layout in ECDRM.
As per the table 9 of cross
tabulation we can see that 95 and 128
people have mark on respectively
strongly agree and agree in the
satisfaction toward retail mall layout
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services and the result is found that age is
not influence on the satisfaction of the
ECDRM’s layout.
10. Chi-square between brand
variety and assortment of
ECDRM to the buying from
organized retail mall is
profitable.
Ho: Retail mall provide
brand variety and assortment does
not influence that buying from
retail mall is profitable in
ECDRM.
H1: Retail mall provide
brand variety and assortment does
influence that buying from retail
mall is profitable in ECDRM.
SAT.RM Q21 * SCB Q2 Cross tabulation
Table : 10 SCB Q2
Total S.Agree Agree Nutral Disagree S.Disagree
SAT.RM Q21 S.Agree 30 34 7 4 2 77
Agree 51 55 20 6 1 133
Nutral 17 25 9 5 0 56
Disagree 8 6 4 8 2 28
S. Disagree 2 2 0 1 1 6
Total 108 122 40 24 6 300
Chi-Square Tests
Table : 10 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 37.547a 16 .002
Likelihood Ratio 29.389 16 .021
Linear-by-Linear Association 11.002 1 .001
N of Valid Cases 300
The table 10 of Chi-Square Tests
shows that different brand variety and
assortment of retail mall that influence
buying from organized retail store is
profitable for customer, and they have a
positive relation as the Chi-square is
37.547. The significance level of 0.002
and it is less than 0.05, so that it indicates
this Chi-square is statistically significant.
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So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, Retail
mall provide brand variety and
assortment does influence that buying
from retail mall is profitable in ECDRM.
As per the table 10 of cross
tabulation we see that 77 and 133 people
response on the strongly agree and agree
respectively on that the retail mall
provide brand variety and assortment,
while 108 and 122 people response on
strongly agree and agree respectively in
that the organized retail mall is
profitable.
11. Chi-square between higher
prices of good means higher
quality of product and buying
power saving product first in
ECDRM
Ho: Higher price of good
means higher quality of product
does not influence that buying
power saving product first in
ECDRM.
H1: Higher price of good
means higher quality of product
does influence that buying power
saving product first in ECDRM.
SCB Q4 * TEC.F Q5 Cross tabulation
Table:11 TEC.F Q5
Total S.Agree Agree Nutral Disagree S.Disagree
SCB Q4 S.Agree 27 65 26 5 0 123
Agree 47 30 25 3 2 107
Nutral 22 14 3 1 1 41
Disagree 11 2 3 4 2 22
S.Disagree 4 2 1 0 0 7
Total 111 113 58 13 5 300
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The table 11 of Chi-Square Tests shows
that different higher price of good means
higher quality of retail mall that influence
that power saving product first, and they
have a positive relation as the Chi-square
is 54.202. The significance level of 0.000
and it is less than 0.05, so that it indicates
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, Higher
price of good means higher quality of
product does influence that buying power
saving product first in ECDRM.
As per the table 11 of cross
tabulation we see that 123 and 107
people response on the strongly agree
and agree respectively on that Higher
price of good means higher quality of
product, while 111 and 113 people
response on strongly agree and agree
respectively in that the influence that
power saving product first.
12. Chi-square between higher
prices of good means higher quality of
product and feature and technology of
the product influence consumer
preference ECDRM.
Ho: Higher price of good means
higher quality of product does not
influence that feature and technology of
the product influence consumer
preference ECDRM.
Chi-Square Tests
Table : 11
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 54.202
a 16 .000
Likelihood Ratio 51.815 16 .000
Linear-by-Linear Association
1.534 1 .216
N of Valid Cases 300
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H1: Higher price of good means
higher quality of product does influence
that feature and technology of the
product influence consumer preference
ECDRM.
SCB Q4 * TEC.F Q6 Cross tabulation
Table:12 TEC.F Q6
Total S.Agree Agree Nutral Disagree S.Disagree
SCB Q4 S. Agree 54 46 16 6 1 123
Agree 31 37 30 9 0 107
Nutral 10 16 10 5 0 41
Disagree 8 7 1 5 1 22
S. Disagree 6 0 1 0 0 7
Total 109 106 58 25 2 300
Chi-Square Tests
Table : 12 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 37.166a 16 .002
Likelihood Ratio 36.671 16 .002
Linear-by-Linear Association 3.065 1 .080
N of Valid Cases 300
The table 12 of Chi-Square Tests
shows that different higher price of good
means higher quality of retail mall that
influence that technology and feature of
the product, and they have a positive
relation as the Chi-square is 37.166. The
significance level of 0.002 and it is less
than 0.05, so that it indicates this Chi-
square is statistically significant. So that
we reject null hypothesis Ho, and accept
alternate hypothesis H1, higher price of
good means higher quality of product
does influence that feature and
technology of the product influence
consumer preference ECDRM.
As per the table 12 of cross
tabulation we see that 123 and 107
people response on the strongly agree
and agree respectively on that Higher
price of good means higher quality of
product, while 109 and 106 people
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response on strongly agree and agree
respectively in that the feature and
technology of the product. We find the
result that both have a positive relation
each other and influence on result.
13. Chi-square between
Warrantee or guarantee of
product and satisfaction with
retail mall services.
Ho: Warrantee or
guarantee of the product does not
influence satisfaction of customer
with retail mall services.
H1: Warrantee or
guarantee of the product does
influence satisfaction of customer
with retail mall services.
SAT.RM Q19 * TEC.F Q7 Cross tabulation
Table:13 TEC.F Q7
Total S.Agree Agree Nutral Disagree S.Disagree
SAT.RM Q19 S.Agree 18 18 12 1 0 49
Agree 72 43 30 10 1 156
Nutral 17 24 12 9 2 64
Disagree 6 7 9 3 3 28
S.Disagree 0 1 1 0 1 3
Total 113 93 64 23 7 300
Chi-Square Tests
Table : 13 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 43.327a 16 .000
Likelihood Ratio 34.003 16 .005
Linear-by-Linear Association 17.166 1 .000
N of Valid Cases 300
The table 13 of Chi-Square Tests
shows that warrantee or grantee that
provide by the ECDRM is influence on
the customer satisfaction with retail mall
services, and they have a positive relation
as the Chi-square is 43.327. The
significance level of 0.000 and it is less
than 0.05, so that it indicates this Chi-
square is statistically significant. So that
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we reject null hypothesis Ho, and accept
alternate hypothesis H1, Warrantee or
guarantee of the product does influence
satisfaction of customer with retail mall
services.
As per the table 13 of cross
tabulation we see that 49 and 156 people
response on the strongly agree and agree
respectively on that satisfaction with the
retail mall services, while 113 and 93
people response on strongly agree and
agree respectively in that the warrantee
or guarantee of the product. We find the
result that both have a positive relation
each other and influence on result that
warrantee or guarantee increase that lead
to higher retail mall services satisfaction.
14. Chi-square between
advertisements helps to
purchasing and layout and
arrangement of ECDRM.
Ho: Advertisements help
to purchase the product does not
influence layout and arrangement
of the retail mall.
H1: Advertisements help
to purchase the product does
influence layout and arrangement
of the retail mall.
SAT.RM Q20 * PRO.F Q8 Cross tabulation
Table:14
PRO.F Q8
Total S.Agree Agree Nutral Disagree S.Disagree
SAT.RM Q20 S.Agree 27 22 19 20 7 95
Agree 25 29 39 19 16 128
Nutral 10 13 8 5 16 52
Disagree 4 9 2 5 1 21
S.Disagree 0 2 1 0 1 4
Total 66 75 69 49 41 300
Chi-Square Tests
Table : 14
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 33.707a 16 .006
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Likelihood Ratio 32.815 16 .008
Linear-by-Linear Association 1.745 1 .187
N of Valid Cases 300
The table 14 of Chi-Square Tests
shows that advertisements help to
purchase the product influence on the
customer satisfaction with layout and
arrangement, and they have a positive
relation as the Chi-square is 33.707. The
significance level of 0.006 and it is less
than 0.05, so that it indicates this Chi-
square is statistically significant. So that
we reject null hypothesis Ho, and accept
alternate hypothesis H1, Warrantee or
guarantee of the product does influence
satisfaction of customer with retail mall
services.
As per the table 14 of cross
tabulation we see that 95 and 128 people
response on the strongly agree and agree
respectively on that satisfaction with the
retail mall layout and arrangement, while
66 and 75 people response on strongly
agree and agree respectively in that the
advertisement help to purchase the
product. We find the result that both have
a positive relation each other and
influence on result that advertisement on
retail mall increase the layout and
arrangement satisfaction.
15. Chi-square between friend
and family involve in buying
and purchase innovative or new
product from ECDRM.
Ho: Friend or family
member involve in buying does
not influence to purchase
innovative or new product.
H1: Friend or family
member involve in buying does
not influence to purchase
innovative or new product.
SCF Q14 * SCF Q12 Cross tabulation
Table:15 SCF Q12
Total S. Agree Agree Nutral Disagree S. Disagree
SCF Q14 S. Agree 20 41 9 3 2 75
Agree 43 49 45 12 2 151
Nutral 18 9 14 3 2 46
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Disagree 7 2 7 6 1 23
S. Disagree 1 1 1 2 0 5
Total 89 102 76 26 7 300
The table 15 of Chi-Square Tests shows
that friend or family member involve in
purchasing product influence on the
innovative or new product, and they have
a positive relation as the Chi-square is
43.983. The significance level of 0.000
and it is less than 0.05, so that it indicates
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, Friend or
family member involve in buying does
not influence to purchase innovative or
new product.
As per the table 15 of cross
tabulation we see that 75 and 151 people
response on the strongly agree and agree
respectively on that friend or family
member involve with the purchasing,
while 89 and 102 people response on
strongly agree and agree respectively in
that the innovative or new product. We
find the result that both have a positive
relation each other and influence on
result that friend and family member
greatly involve in the purchasing
innovative or new product.
16. Chi-square between
religious and cultural aspect
involve in buying and purchase
Chi-Square Tests
Table : 15
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 43.983
a 16 .000
Likelihood Ratio 40.980 16 .001
Linear-by-Linear Association 6.660 1 .010
N of Valid Cases 300
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innovative or new product from
ECDRM.
Ho: Cultural and religious
aspects influence in buying does
not influence to purchase
innovative or new product.
H1: Cultural and religious
aspects influence in buying does
influence to purchase innovative
or new product.
SCF Q14 * SCF Q13 Cross tabulation
Table:16 SCF Q13
Total S.Agree Agree Nutral Disagree S.Disagree
SCF Q14 S.Agree 0 17 38 11 9 75
Agree 11 13 36 52 39 151
Nutral 12 12 5 6 11 46
Disagree 1 12 3 0 7 23
S.Disagree 1 0 3 1 0 5
Total 25 54 85 70 66 300
Chi-Square Tests
Table : 16 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 98.005a 16 .000
Likelihood Ratio 100.958 16 .000
Linear-by-Linear Association 2.882 1 .090
N of Valid Cases 300
The table 16 of Chi-Square Tests
shows that Cultural and religious aspects
influence in buying product influence on
the innovative or new product, and they
have a positive relation as the Chi-square
is 98.005. The significance level of 0.000
and it is less than 0.05, so that it indicates
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, Cultural
and religious aspects influence in buying
does influence to purchase innovative or
new product.
As per the table 16 of cross
tabulation we see that 75 and 151 people
response on the strongly agree and agree
respectively on that Cultural and
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religious aspects influence in purchasing,
while 25, 54 and 85 people response on
strongly agree, agree and neutral
respectively in that the innovative or new
product. We find the result that both have
a positive relation each other and
influence on result that culture and
religious aspect greatly involve in the
purchasing innovative or new product.
17. Chi-square between
warrantee and guarantee and
trustworthy in ECDRM.
Ho: Warrantee or
guarantee of the retail mall does
not influence retail mall
trustworthiness.
H1: Warrantee or
guarantee of the retail mall does
influence retail mall
trustworthiness.
TRU.F Q17 * TEC.F Q7 Cross tabulation
Table:17 TEC.F Q7
Total S.Agree Agree Nutral Disagree S.Disagree
TRU.F
Q17
S.Agree 39 18 15 2 0 74
Agree 40 41 25 5 2 113
Nutral 22 19 14 6 2 63
Disagree 10 14 9 8 2 43
S.Disagree 2 1 1 2 1 7
Total 113 93 64 23 7 300
Chi-Square Tests
Table:17 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 32.527a 16 .009
Likelihood Ratio 29.277 16 .022
Linear-by-Linear Association 18.788 1 .000
N of Valid Cases 300
As per the table 17 of Chi-Square
Tests shows that warrantee and guarantee
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that retail mall provide to the customer in
buying product influence on the in
creating trustworthiness, and they have a
positive relation as the Chi-square is
32.527. The significance level of 0.009
and it is less than 0.05, so that it indicates
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1,
Warrantee or guarantee of the retail mall
does influence retail mall
trustworthiness.
As per the table 17 of cross
tabulation we see that 74 and 123 people
response on the strongly agree and agree
respectively on retail mall
trustworthiness in purchasing from
ECDRM, while 113, 93 and 64 people
response on strongly agree, agree and
neutral respectively in that warrantee and
guarantee. We find the result that both
have a positive relation each other and
influence on result that warrantee and
guarantee influence in the retail mall
trustworthiness.
18. Chi-square between
promises and commitments and
satisfaction with retail mall
service in ECDRM.
Ho: Promises and
commitment does not influence
satisfaction with retail mall
services.
H1: Promises and
commitment does influence
satisfaction with retail mall
services.
SAT.RM Q19 * TRU.F Q16 Cross tabulation
Table : 18 TRU.F Q16
Total S.Agree Agree Nutral Disagree S.Disagree
SAT.RM Q19 S.Agree 8 30 9 2 0 49
Agree 22 90 30 14 0 156
Nutral 6 29 24 5 0 64
Disagree 1 9 7 10 1 28
S.Disagree 1 1 1 0 0 3
Total 38 159 71 31 1 300
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Chi-Square Tests
Table : 18 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 45.862a 16 .000
Likelihood Ratio 35.100 16 .004
Linear-by-Linear Association 18.583 1 .000
N of Valid Cases 300
As per the table 18 of Chi-Square
Tests shows that the services that retail
mall provide to the customer in buying
product influence by promises and
commitments, and they have a positive
relation as the Chi-square is 45.862. The
significance level of 0.000 and it is less
than 0.05, so that it indicates this Chi-
square is statistically significant. So that
we reject null hypothesis Ho, and accept
alternate hypothesis H1, Promises and
commitment does influence satisfaction
with retail mall services.
As per the table 18 of cross
tabulation we see that 49 and 156 people
response on the strongly agree and agree
respectively on retail mall Promises and
commitment in purchasing from
ECDRM, while 38, 159 and 71 people
response on strongly agree, agree and
neutral respectively in that retail mall
services. We find the result that both
have a positive relation each other and
influence on result that promises and
commitment from retail mall create
satisfaction in customer toward retail
mall services.
19. Chi-square between retail
mall provide variety and
assortment and trust that come
from retail mall keep best
interest of customer in
ECDRM.
Ho: Retail mall provide
brand variety and assortment does
not influence trust that come from
keeping best interest of consumer.
H1: Retail mall provide
brand variety and assortment does
influence trust that come from
keeping best interest of consumer.
TRU.F Q15 * SAT.RM Q21 Cross tabulation
Table : 19 SAT.RM Q21 Total
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S.Agree Agree Nutral Disagree S.Disagree
TRU.F Q15 S.Agree 11 12 6 1 1 31
Agree 19 33 8 3 2 65
Nutral 22 44 16 9 1 92
Disagree 23 40 25 10 2 100
S.Disagree 2 4 1 5 0 12
Total 77 133 56 28 6 300
Chi-Square Tests
Table : 19 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 25.947a 16 .055
Likelihood Ratio 20.830 16 .185
Linear-by-Linear Association 6.351 1 .012
N of Valid Cases 300
As per the table 19 of Chi-Square
Tests shows that the brand variety and
assortment that retail mall provide to the
customer in buying product influence in
trust that creating retail mall by keeping
best interest of customer, they have a
positive relation as the Chi-square is
25.947. The significance level of 0.055
and it is not less than 0.05, but we can
consider 10% of precession level for this
study, so that it indicates this Chi-square
is statistically significant. So that we
reject null hypothesis Ho, and accept
alternate hypothesis H1, Retail mall
provide brand variety and assortment
does influence trust that come from
keeping best interest of consumer.
As per the table 19 of cross
tabulation we see that 77 and 133 people
response on the strongly agree and agree
respectively on retail mall provide brand
variety and assortment in purchasing
from ECDRM, while 31, 65 and 92
people response on strongly agree, agree
and neutral respectively in that retail mall
keep best interest of customer in mind .
We find the result that both have a
positive relation each other and influence
on result that retail mall providing larger
brand variety to the customer, they keep
best interest of customer in mind.
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20. Chi-square between income
of consumer and the product
they purchase in exchange from
retail mall.
Ho: Income of the
consumer does not affect that
they purchase product in
exchange from ECDRM.
H1: Income of the
consumer does affect that they
purchase product in exchange
from ECDRM.
PRO.F Q10 * INCOME Cross tabulation
Table : 20 INCOME
Total up to 10,000 10,001 to25,000 25,001 & Above
PRO.F Q10 Yes 36 85 57 178
No 13 58 51 122
Total 49 143 108 300
Chi-Square Tests
Table : 20 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 5.982a 2 .050
Likelihood Ratio 6.179 2 .046
Linear-by-Linear Association 5.573 1 .018
N of Valid Cases 300
As per the table 20 of Chi-Square
Tests shows that the income of the
customer influences in buying product in
exchange from the retail mall, they have
a positive relation as the Chi-square is
5.982. The significance level of 0.050
and it is equal to 0.05, but we can
consider 10% of precession level for this
study, so that it indicates this Chi-square
is statistically significant. So that we
reject null hypothesis Ho, and accept
alternate hypothesis H1, income of the
consumer does affect that they purchase
product in exchange from ECDRM.
As per the table 20, we can see
that there are 178 people mark on yes
that they have purchase from in exchange
from the retail mall, while in which 85
people have income between 10,000 to
20,000. That prove that the income of the
consumer have a positive relation with
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consumer purchase product in exchange
from the retail mall. So we can conclude
that change in income also change in
perception of purchasing product in
exchange from the ECDRM.
21. Chi-square between
organized retail malls is
profitable and purchase from
retail mall on credit.
Ho: Organized retail mall
is profitable does not impact on
purchasing from ECDRM.
H1: Organized retail mall
is profitable doe’s impact on
purchasing from ECDRM.
PRO.F Q9 * SCB Q2 Crosstabulation
Table : 21 SCB Q2
Total S.Agree Agree Nutral Disagre S.Disagre
PRO.F Q9 Yes 50 62 27 8 3 150
No 58 60 13 16 3 150
Total 108 122 40 24 6 300
Chi-Square Tests
Table : 21 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 8.192a 4 .085
Likelihood Ratio 8.350 4 .080
Linear-by-Linear Association .120 1 .729
N of Valid Cases 300
As per the table 21 of Chi-Square
Tests shows that the purchasing from
retail mall is profitable influence on the
credit purchase from retail mall and they
have a positive relation as the Chi-square
is 8.192. The significance level of 0.085
and it is less than 0.10, so that it indicates
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, organized
retail mall is profitable doe’s impact on
purchasing from ECDRM.
As per the table 21 of cross
tabulation show that 108 and 122 people
mark on strongly agree and agree
respectively on that buying from retail
mall is profitable. While both yes and get
the equal response that they have
purchase product in credit from the
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organized retail mall. So that we can
conclude that people believe that buying
on credit from ECDRM is profitable and
both have a positive relationship.
22. Chi-square between special
sales scheme and retail mall
and layout and arrangement
satisfaction of the customer.
Ho: Special sale scheme
does not influence layout and
arrangement of ECDRM.
H1: Special sale scheme
does not influence layout and
arrangement of ECDRM.
PRO.F Q11 * SAT.RM Q20 Cross tabulation
Table : 22 SAT.RM Q20
Total S.Agree Agree Nutral Disagre S.Disagre
PRO.F Q11 Yes 48 74 23 4 4 153
No 47 54 29 17 0 147
Total 95 128 52 21 4 300
Chi-Square Tests
Table : 22 Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 15.762a 4 .003
Likelihood Ratio 17.929 4 .001
Linear-by-Linear Association 1.684 1 .194
N of Valid Cases 300
As per the table 22 of Chi-Square
Tests shows that the special sale scheme
of the retail mall influence the retail mall
layout and arrangement and they have a
positive relation as the Chi-square is
15.762. The significance level of 0.003
and it is less than 0.10, so that it indicates
this Chi-square is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1, special
sale scheme does not influence layout
and arrangement of ECDRM.
As per the table 22 of cross
tabulation show that 95 and 128 people
mark on strongly agree and agree
respectively on that retail mall provide
variety and assortment. While both yes
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and get nearly equal response that they
have purchase during special sales
scheme. So that we can conclude that we
can conclude that any special sales
scheme of retail mall changes the layout
and arrangement.
Anova Analysis
1. ANOVA between special cost
benefit and ECDRM keeping
best interest of customer in
mind.
Ho: Special cost benefit does
not impact trust that ECDRM
keep best interest of customer in
mind.
H1: Special cost benefit does
impact trust that ECDRM keep
best interest of customer in mind.
ANOVA
Table : 1 Sum of Squares df Mean Square F Sig.
Between Groups 8.657 4 2.164 3.960 .004
Within Groups 161.231 295 .547
Total 169.889 299
As per table 1 of ANOVA show that
special cost benefit of ECDRM have a
direct relation with the trust that retail
mall keeping best interest of customer in
mind. They have positive relation as the
ANOVA is 3.960. The significant level is
0.004, which is less than o.o5, so that
ANOVA is statistically significant. So
that we reject null hypothesis Ho, and
accept alternate hypothesis H1 that is
Special cost benefit does impact trust that
ECDRM keep best interest of customer
in mind.
2. ANOVA between
technological factors and
ECDRM is trust worthy.
Ho: Technological factors
do not have a significant impact
that ECDRM is trust worthy.
H1: Technological factors
do have a significant impact that
ECDRM is trust worthy.
ANOVA
Table : 2 Sum of Squares df Mean Square F Sig.
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Between Groups 20.790 4 5.198 11.279 .000
Within Groups 135.942 295 .461
Total 156.733 299
As per table 2 of ANOVA show that
technological factors of ECDRM have a
direct relation with that the ECDRM is
trust worthy. They have positive relation
as the ANOVA is 11.297. The significant
level is 0.000, which is less than 0.05, so
that ANOVA is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1 that is
Technological factors do have a
significant impact that ECDRM is trust
worthy.
3. ANOVA between
promotional factors and
buying from ECDRM is
profitable.
Ho: Promotional factors
do not have a significant impact
buying from ECDRM is
profitable.
H1: Promotional factors
do have a significant impact
buying from ECDRM is
profitable.
ANOVA
Table : 3 Sum of Squares df Mean Square F Sig.
Between Groups 15.735 7 2.248 2.326 .025
Within Groups 282.251 292 .967
Total 297.987 299
As per table 3 of ANOVA show that
promotional factors of ECDRM have a
direct relation with that buying from
ECDRM is profitable. They have positive
relation as the ANOVA is 2.248. The
significant level is 0.025, which is less
than 0.05, so that ANOVA is statistically
significant. So that we reject null
hypothesis Ho, and accept alternate
hypothesis H1 that is Promotional factors
do have a significant impact buying from
ECDRM is profitable.
4. ANOVA between social-
culture factors and buying
from ECDRM is trustworthy.
Ho: Social-culture factors
do not have a significant impact
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buying from ECDRM is
trustworthy.
H1: Social-culture factors
not have a significant impact
buying from ECDRM is
trustworthy.
ANOVA
Table : 4 Sum of Squares Df Mean Square F Sig.
Between Groups 36.047 9 4.005 3.805 .000
Within Groups 305.233 290 1.053
Total 341.280 299
As per table 4 of ANOVA show that
social-culture factors of customer have a
direct relation with that buying from
ECDRM trustworthy. They have positive
relation as the ANOVA is 3.805. The
significant level is 0.000, which is less
than 0.05, so that ANOVA is statistically
significant. So that we reject null
hypothesis Ho, and accept alternate
hypothesis H1 that is Social-culture
factors not have a significant impact
buying from ECDRM is trustworthy.
5. ANOVA between trust
factors and friend and family
member involve in buying.
Ho: Trust factors toward
ECDRM do not have a significant
impact that friend and family
member involve in buying from
ECDRM.
H1: Trust factors toward
ECDRM do have a significant
impact that friend and family
member involve in buying from
ECDRM.
ANOVA
Table : 5 Sum of Squares Df Mean Square F Sig.
Between Groups 25.241 11 2.295 2.242 .013
Within Groups 294.759 288 1.023
Total 320.000 299
As per table 5 of ANOVA show that
Trust factors toward ECDRM of
customer have a direct relation with that
friend and family member involve in
buying. They have positive relation as
the ANOVA is 2.242. The significant
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level is 0.013, which is less than 0.05, so
that ANOVA is statistically significant.
So that we reject null hypothesis Ho, and
accept alternate hypothesis H1 that is
Social Trust factors toward ECDRM do
have a significant impact that friend and
family member involve in buying from
ECDRM.
6. ANOVA between Satisfaction
with retail mall and trust
toward retail mall.
Ho: Satisfaction with
retail mall does not have
significant impact of trust toward
retail mall.
H1: Satisfaction with
retail mall does have significant
impact of trust toward retail mall.
ANOVA
Table : 6 Sum of Squares Df Mean Square F Sig.
Between Groups 32.716 4 8.179 7.930 .000
Within Groups 304.254 295 1.031
Total 336.970 299
As per table 6 of ANOVA show that
satisfaction toward ECDRM has a direct
relation with that trust toward retail mall.
They have positive relation as the
ANOVA is 2.242. The significant level is
7.930, which is less than 0.000, so that
ANOVA is statistically significant. So
that we reject null hypothesis Ho, and
accept alternate hypothesis H1 that is
Satisfaction with retail mall does have
significant impact of trust toward retail
mall.
Findings of the Study
The different product that
consumer purchase from retail mall does
not influence by different demographical
factor like age, occupation, education,
income, family structure of the people.
Buying particular brand of the
product is influence by the income; mean
those have a higher income they prefer to
particular brand to purchase the product
from the retail mall.
Sales scheme of the electronic consume
durable retail mall increase customer
satisfaction toward retail mall services;
mean that higher sale scheme increase
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satisfaction of customer toward retail
services.
Education and age of the people
who purchase the electronic consumer
durable product from the retail mall does
not influence the satisfaction toward
retail mall layout and arrangement; mean
that layout and arrangement satisfaction
will not change according to change in
age and education.
Retail mall provide brand variety
and assortment for the consumer that
have a positive relation with buying from
the retail mall is profitable; meant that
retail mall provide variety and assortment
that increase profitability of the
customer.
Higher piece of good mean higher
quality product has direct positive
relation with the people prefer power
saving product and feature and
technology of the product influence
consumer preference; mean that customer
believe that higher price mean the
product in power saving and has good
feature and technology.
Warrantee and guarantee provide
by retail mall increase customer toward
retail mall service satisfaction, as well
this types of extra services create trust
toward retail mall.
Layout and arrangement of the
retail mall is an advertisement tool for
electronic retail mall and that help
customer in purchasing product from the
retail mall.
Family, friend cultural and
religious aspect greatly impact on the
way in which individual purchase or
adopt innovative and new product from
electronic consumer durable retail mall.
Promises and commitment is
given by retail mall is increase customer
satisfaction level toward retail mall
services; mean how far the retail mall
able to promise and commitment is
directly lead to the customer satisfaction
toward retail mall services.
Retail mall provide variety and
assortment to the customer that increase
the trust of the customer that they keep
best interest of the customer in the mind.
Income of the customer greatly
impact on that the individual purchase
product from the retail mall in exchange
offer; mean that different income level of
the customer affect on way in which
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people purchase product from the retail
mall.
Purchasing from the retail mall on
credit has direct relation with that
purchasing from the retail mall is
profitable; mean that people believe that
credit facility of the retail mall is
profitable for the customer.
There is positive relation with
special sale scheme and the layout and
arrangement of the electronic consumer
durable retail mall; mean people believe
that the retail mall layout and
arrangement reflect the special sale
scheme.
Recommendation
Customer more looking on the
facility provide by retail mall to them
like credit facility, providing brand
varieties, giving exchange offer,
providing technological product and
giving special cost benefit more attract
customer toward retail mall in purchasing
product, so that keep it best that give
customer more satisfaction and make
them loyal toward retail mall purchasing.
Customer looking for services
like warrantee and guarantee and
promises and commitment are
considerable for the customer for a trust,
so that retail mall should give warrantee
and guarantee to attract the customer and
to fulfill the customer requirement.
Electronic consumer durable
product is more competitive for retail
because generally customer purchasing
product from regular unorganized shop,
so that they have to make a special sale
scheme that increase customer saving
and looking profitable for them.
To make success of the retail mall
the manager should have to looking to
make the customer loyal that plead
positive word of mouth for the store and
create image in the mind of the customer.
Advertisement of the store is very
much important and w found that the
layout and arrangement of the product in
the retail mall is best advertisement
source for them to sale the product, but
they also have to concentrate to attract
customer toward retail mall by other
advertisement like outdoor publication is
best sources to give know about the
ECDRM.
The customers are becoming king
as they have a whole lot of choices. So
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the companies should try to be cost
effective and pass on the saved amount to
the customer.
Retail mall employees are still the
place to buy electronic consumer durable
product. So they should focus on
employees also who is also helping
customer in purchasing product.
The retail mall should try to
launch new products after through
research of the consumers as they are
becoming more dynamic day by day.
Conclusion
The retail industry is going to be
more competitive in the near future. The
profit margins are going down over the
year on year. And will be continuing the
pattern for the few years more also
because it is in growth stage in it life
calycle in India. So the main mantra for
the companies to be successful is to
satisfy the consumers and develop brand
image and brand loyalty amongst them.
So it has become very necessary for the
consumers to understand the Indian
consumers very well. So in the future the
retailers who come up with new products
at competitive prices and with good
quality are going to the successful one.
Prom-optional activities are also going to
play an important role that should to be
for consumers.
So that it important to understand
the factor that influence customer in
purchasing consumer durable product
from the retail mall.
Limitation
Survey is conducted by
considering the time constraint. Sample
size during this time may not be
adequate. It is difficult to be precise
about the most appropriate sample size
for conducting such research. However,
we expect follow-up studies to expand
the sample range so that the relevant
research might be more representative.
Due to subjectivity and beliefs of
consumers, some answers of the
questionnaire may differ from the reality.
On the other hand, the topic
discussed in this study is still developing
at present, it is hoped to be continually
explored with the addition of other
external as well as internal factors
affecting consumer preference toward
consumer durable in retail mall.
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Therefore, we hope that succeeding
studies can adopt a wider range of
constructs to make the whole study share
more benefits.
Finally, the electronic consumer
durable product distinction also affects
the consumer decision about purchasing
product. From a marketing perspective,
consumers in fact treat high-involvement
and low-involvement products with
different behavioral models. The
product’s unit price influences the desires
of consumer for retail shopping as well.
Thus, we propose that much research is
needed to discover the effects of different
product characteristics on customer retail
shopping.
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ELK ASIA PACIFIC JOURNAL OF MARKETING AND RETAIL MANAGEMENT
ISSN 0976-7193 (Print) ISSN 2349-2317 (Online) Volume 4 Issue 3, July (2013)
www.elkjournals.com ……………………………………………………………………………………………………………………
Annexure
Questionnaire As per my curriculum of MBA (Marketing) from CPIMR, Ahmedabad, I have undertaken a grand project
for knowing factors affecting decision making regarding electronics consumer durable. To know your views
regarding your buying decision, please spend your valuable time for responding to the following questions:
1) Which product do you have purchased within last six month?
A/C TV
Home Theater Refrigerator
Specific Cost Benefit:
2) Do you think buying from organized retail store is profitable?
Strongly Agree 1 2 3 4 5 Strongly Disagree
3) Do you think retail mall sales scheme is increase you’re saving?
Agree 1 2 3 4 5 disagree
4) Do you think higher price of good means higher quality of product?
Strongly Agree 1 2 3 4 5 Strongly Disagree
Technological Factors:
5) Do you consider power saving product to purchase first?
Strongly Agree 1 2 3 4 5 Strongly Disagree
6) How feature and technology of the product influence your preference?
Strongly influence 1 2 3 4 5 strongly not influence
7) How influence warrantee or guarantee in your buying decision?
Strongly Consider 1 2 3 4 5 strongly not consider
Promotional Factors:
8) How far the advertisements help to purchase the product?
Helpful 1 2 3 4 5 Unhelpful
9) Do you buy a product from retail mall on credit?
Yes No
10) Do you have bought anything in exchange offer?
Yes No
11) Do you purchase during any special sales scheme from organized retail?
Yes No
Social-Culture Factors:
12) How friend and family member involve in your buying?
Involve 1 2 3 4 5 Not involve
13) How far cultural and religious aspect influence your buying decision
Influence 1 2 3 4 5 Not Influence
14) Do you purchase innovative or new product?
Strongly Agree 1 2 3 4 5 Strongly Disagree
Trust Factors:
15) I trust this retail mall because they keep my best interest in mind?
Strongly Agree 1 2 3 4 5 Strongly Disagree
16) This retail mall is that keeps promises and commitments.
ELK ASIA PACIFIC JOURNAL OF MARKETING AND RETAIL MANAGEMENT
ISSN 0976-7193 (Print) ISSN 2349-2317 (Online) Volume 4 Issue 3, July (2013)
www.elkjournals.com ……………………………………………………………………………………………………………………
Strongly Agree 1 2 3 4 5 Strongly Disagree
17) This types of electronics consumer durable retail mall is trustworthy.
Strongly Agree 1 2 3 4 5 Strongly Disagree
Satisfaction with retail mall:
18) Do you prefer any particular brand to blue from retail mall?
Strongly Agree 1 2 3 4 5 Strongly Disagree
19) I am satisfied with the retail mall services.
Strongly Agree 1 2 3 4 5 Strongly Disagree
20) You are satisfied with the layout and arrangement of retail mall.
Strongly Agree 1 2 3 4 5 Strongly Disagree
21) Retail mall provide brand variety and assortment.
Strongly Agree 1 2 3 4 5 Strongly Disagree
Personal Details:
Name: __________________________________________________________________
Age: 18-25 25-35 35-45 45 & Above
Occupation: Job Business Others
Education: Undergraduate Graduation Post graduation
Income: up to 10,000 10,000 to 25,000 25,000 and above
Family structure: Individual Joint Family Nuclear Family