CHAPTER I INTRODUCTION 1.1 INTRODUCTION OF THE STYDY CUSTOMER SATISFACTION: Customer satisfaction is defined as the degree of satisfaction provided by the goods or services of a company. This is usually gauged by the number of customers making repeat purchases. Customer satisfaction is critical if a company is to register high sales profits. Customer satisfaction is a term frequently used in marketing. It is a measure of how products and services supplied by a company meet or surpass customer expectation. Customer satisfaction is defined as "the number of customers, or percentage of total customers, whose reported experience with a firm, its products, or its services (ratings) exceeds specified satisfaction goals. "In a survey of nearly 200 senior marketing managers, 71 percent responded that they found a customer satisfaction metric very useful in managing and monitoring their businesses. It is seen as a key performance indicator within business and is often part of a Balanced Scorecard. In a competitive marketplace where businesses compete for customers, customer satisfaction is seen as a key differentiator and increasingly has become a key element of business strategy."Within organizations, customer satisfaction ratings can have powerful effects.
Transcript
CHAPTER I
INTRODUCTION
1.1 INTRODUCTION OF THE STYDY
CUSTOMER SATISFACTION:
Customer satisfaction is defined as the degree of satisfaction provided by the
goods or services of a company. This is usually gauged by the number of customers
making repeat purchases. Customer satisfaction is critical if a company is to register high
sales profits. Customer satisfaction is a term frequently used in marketing. It is a measure
of how products and services supplied by a company meet or surpass customer
expectation. Customer satisfaction is defined as "the number of customers, or percentage
of total customers, whose reported experience with a firm, its products, or its services
(ratings) exceeds specified satisfaction goals.
"In a survey of nearly 200 senior marketing managers, 71 percent responded that
they found a customer satisfaction metric very useful in managing and monitoring their
businesses. It is seen as a key performance indicator within business and is often part of
a Balanced Scorecard. In a competitive marketplace where businesses compete for
customers, customer satisfaction is seen as a key differentiator and increasingly has
become a key element of business strategy."Within organizations, customer satisfaction
ratings can have powerful effects.
They focus employees on the importance of fulfilling customers’ expectations.
Furthermore, when these ratings dip, they warn of problems that can affect sales and
profitability. These metrics quantify an important dynamic. When a brand has loyal
customers, it gains positive word-of-mouth marketing, which is both free and highly
effective."
Therefore, it is essential for businesses to effectively manage customer
satisfaction. To be able do this, firms need reliable and representative measures of
satisfaction."In researching satisfaction, firms generally ask customers whether their
product or service has met or exceeded expectations. Thus, expectations are a key factor
behind satisfaction. When customers have high expectations and the reality falls short,
they will be disappointed and will likely rate their experience as less than satisfying. For
this reason, a luxury resort, for example, might receive a lower satisfaction rating than a
budget motel—even though its facilities and service would be deemed superior in
'absolute' terms."The importance of customer satisfaction diminishes when a firm has
increased bargaining power. For example, cell phone plan providers, such
as AT&T and Verizon, participate in an industry that is an oligopoly, where only a few
suppliers of a certain product or service exist.
As such, many cell phone plan contracts have a lot of fine print with provisions
that they would never get away if there were, say, a hundred cell phone plan providers,
because customer satisfaction would be far too low, and customers would easily have the
option of leaving for a better contract offer. There is a substantial body of empirical
literature that establishes the benefits of customer satisfaction for firms.
Purpose:
"Customer satisfaction provides a leading indicator of consumer purchase intentions and
loyalty." "Customer satisfaction data are among the most frequently collected indicators
of market perceptions. Their principal use is twofold:"
• "Within organizations, the collection, analysis and dissemination of these data
send a message about the importance of tending to customers and ensuring that
they have a positive experience with the company’s goods and services."
• "Although sales or market share can indicate how well a firm is
performing currently, satisfaction is perhaps the best indicator of how likely it is
that the firm’s customers will make further purchases in the future. Much
research has focused on the relationship between customer satisfaction and
retention. Studies indicate that the ramifications of satisfaction are most strongly
realized at the extremes." On a five-point scale, "individuals who rate their
satisfaction level as '5' are likely to become return customers and might even
evangelize for the firm. (A second important metric related to satisfaction is
willingness to recommend. This metric is defined as "The percentage of surveyed
customers who indicate that they would recommend a brand to friends." When a
customer is satisfied with a product, he or she might recommend it to friends,
relatives and colleagues. This can be a powerful marketing advantage.)
"Individuals who rate their satisfaction level as '1,' by contrast, are unlikely to
return. Further, they can hurt the firm by making negative comments about it to
prospective customers. Willingness to recommend is a key metric relating to
customer satisfaction."
• Customers are the assets of every business. Sales professionals must try their level
best to satisfy customers for them to come back again to their organization.
AFTER SALES SERVICE:
After sales service refers to various processes which make sure customers are
satisfied with the products and services of the organization. The needs and demands of
the customers must be fulfilled for them to spread a positive word of mouth. In the
current scenario, positive word of mouth plays an important role in promoting brands and
products.
After sales service makes sure products and services meet or surpass the
expectations of the customers. After sales service includes various activities to find out
whether the customer is happy with the products or not after sales service is a crucial
aspect of sales management and must not be ignored.
Why after Sales Service?
After sales service plays an important role in customer satisfaction and customer
retention. It generates loyal customers. Customers start believing in the brand and get
associated with the organization for a longer duration. They speak well about the
organization and its products.
A satisfied and happy customer brings more individuals and eventually more
revenues for the organization. After sales service plays a pivotal role in strengthening the
bond between the organization and customers.
After Sales Service Techniques:
• Sales Professionals need to stay in touch with the customers even after the deal.
Never ignore their calls.
• Give them the necessary support. Help them install, maintain or operate a
particular product. Sales professionals selling laptops must ensure windows are
configured in the system and customers are able to use net without any difficulty.
Similarly organizations selling mobile sim cards must ensure the number is
activated immediately once the customer submits his necessary documents.
• Any product found broken or in a damaged condition must be exchanged
immediately by the sales professional. Don’t harass the customers. Listen to their
grievances and make them feel comfortable.
• Create a section in your organization’s website where the customers can register
their complaints. Every organization should have a toll free number where the
customers can call and discuss their queries. The customer service officers should
take a prompt action on the customer’s queries. The problems must be resolved
immediately.
• Take feedback of the products and services from the customers. Feedback helps
the organization to know the customers better and incorporate the necessary
changes for better customer satisfaction.
• Ask the customers to sign Annual Maintenance Contract (AMC) with your
organization. AMC is an agreement signed between the organization and the
customer where the organization promises to provide after sales services to the
second party for a certain duration at nominal costs.
• The exchange policies must be transparent and in favour of the customer. The
customer who comes for an exchange should be given the same treatment as was
given to him when he came for the first time. Speak to him properly and suggest
him the best alternative.
• In an organization, sales representatives have the responsibility of creating brand
awareness and making products popular among the end users. They are the ones
who interact with the customers, understand their requirements and full fill their
needs and expectations.
1.2 INTRODUCTION ABOUT COMPANY:
Samsung Electronics: (Korean: Hanja)
Samsung Electronics Co., Ltd. Is a Korean multinational electronics company
headquartered in Suwon, South Korea. It is the flagship subsidiary of the Samsung
Group and has been the world's largest information technology company by revenues
since 2009.Samsung Electronics has assembly plants and sales networks in 88 countries
and employs around 370,000 people. For 2012 the CEO is Kwon Oh-Hyun.
Samsung has long been a major manufacturer of electronic components such
as lithium-ion batteries, semiconductors, chips, flash memory and hard drive devices for
clients such as Apple, Sony, HTC and Nokia. In recent years, the company has
diversified into consumer electronics. It is the world's largest manufacturer of mobile
phones and smart phones fuelled by the popularity of its Samsung Galaxy line of devices.
The company is also a major vendor of tablet computers, particularly its Android-
powered Samsung Galaxy Tab collection, and is generally regarded as pioneering
the pallet market through the Samsung Galaxy Note family of devices.
Samsung has been the world's largest maker of LCD panels since 2002,
the world's largest television manufacturer since 2006, and world's largest manufacturer
of mobile phones since 2011. Samsung Electronics displaced Apple Inc. as the world's
largest technology company in 2011 and is a major part of the South Korean economy.
History:
1969 to 1987: Early years:
Samsung Electric Industries was established as an industry Samsung Group in
1969 in Suwon, South Korea. Its early products were electronic and electrical appliances
including televisions, calculators, refrigerators, air conditioners and washing machines. In
1970, Samsung Group established another subsidiary, Samsung-NEC, jointly with Japan's
NEC Corporation to manufacture home appliances and audiovisual devices. In 1974, the
group expanded into the semiconductor business by acquiring Korea Semiconductor, one
of the first chip-making facilities in the country at the time. The acquisition of Korea
Telecommunications, an electronic switching system producer, was completed at the start
of the next decade in 1980.
By 1981, Samsung Electric Industries had manufactured over 10 million black-
and-white televisions. In February 1983, Samsung's founder, Lee Byung-chull, made an
announcement later dubbed the "Tokyo declaration", in which he declared that Samsung
intended to become a DRAM(dynamic random access memory) vendor. One year later,
Samsung became the third company in the world to develop a 64kbDRAM.[citation
needed] In 1988, Samsung Electric Industries merged with Samsung Semiconductor &
Communications to form Samsung Electronics.
1988–1995: Consumer struggles:
Samsung Electronics launched its first mobile phone in 1988, in the South Korean
market. Sales were initially poor and by the early 1990s Motorola held a market share of
over 60 percent in the country's mobile phone market compared to just 10 percent for
Samsung. Samsung's mobile phone division also struggled with poor quality and inferior
products until the mid-1990s and exit from the sector was a frequent topic of discussion
within the company. Samsung Electronics acquired a 40 percent stake in AST Research, a
United States-based personal computer maker, for US$378 million in February 1995.
1995–2008: Component manufacturing:
It was decided by Lee Kun-Hee that Samsung needed to change strategy. The
company shelved the production of many under-selling product lines and instead pursued
a process of designing and manufacturing components and investing in new technologies
for other companies. In addition, Samsung outlined a 10-year plan to shrug off its image
as a "budget brand" and to challenge Sony as the world's largest consumer electronics
manufacturer. It was hoped in this way Samsung would gain an understanding of how
products are made and give a technological lead sometime in the future. This patient
vertical integration strategy of manufacturing components has borne fruit for Samsung in
the late-2000s.
As Samsung shifted away from consumer markets, the company devised a plan to
sponsor major sporting events to remain in the public eye. One such sponsorship was for
the 1998 Winter Olympics held in Nagano, Japan.
As a chaebol, Samsung Group wielded wealth that allowed the company to invest
and develop new technology rather than build products at a level which would not have a
detrimental impact on Samsung's finances.
Samsung had a number of technological breakthroughs particularly in the field of
memory which are commonplace in most electrical products today. This includes the
world's first 64Mb DRAM in 1992, 256 Mb DRAM in 1994, 1Gb DRAM in 1996. In
2004, Samsung developed the world's first 8Gb NAND Memory chip and a
manufacturing deal was struck with Apple in 2005. A deal to supply Apple for memory
chips was sealed in 2005 and, as of October 2013, Samsung remains a key supplier of
Apple components, manufacturing the A7 processors that are inside the phone 5s model.
2008 to present: Consumer products:
The Samsung word mark as it appears on many Samsung products, The Samsung
display at the 2008 International Funkausstellung in Berlin For four consecutive years,
from 2000 to 2003, Samsung posted net earnings higher than five-percent; this was at a
time when 16 out of the 30 top South Korean companies ceased operating in the wake of
the unprecedented crisis.
In 2005, Samsung Electronics surpassed Japanese rival, Sony, for the first time to
become the world's twentieth-largest and most popular consumer brand, as measured by
Interbred.
In 2007, Samsung Electronics became the world's second-largest mobile-phone
maker, overtaking Motorola for the first time. In 2009, Samsung achieved total revenues
of US$117.4 billion, overtaking Hewlett-Packard to become the world's largest
technology company measured by sales.
In 2009 and 2010, the US and EU fined the company, together with eight other
memory chip makers, for its part in a price-fixing scheme that occurred between 1999
and 2002. Other companies fined included Infineon Technologies, Elapid Memory and
Micron Technology. In December 2010, the EU granted immunity to Samsung
Electronics for acting as an informant during the investigation (LG Display, AU
Optronics, ChimeiInnoLux, Chunghwa Picture Tubes and HannaStar Display were
implicated as result of the company's intelligence).Despite consistent growth, Samsung,
along with its chairman Lee Kun-hee, has developed a reputation for insecurity regarding
its financial stability and the potential for future crises to arise. After returning from a
temporary retirement period in March 2010, Kun-hee stated that "Samsung Electronics'
future is not guaranteed because most of our flagship products will be obsolete in 10
years from now."Samsung has emphasized innovation in its management strategy since
the early 2000s and it again highlighted innovation as part of core strategies when it
announced the Vision 2020 in which the company set an ambitious goal of reaching $400
billion in annual revenues within ten years. In order to cement its leadership in the areas
of memory chip and television production, the company has invested aggressively in
research and development. The company has 24 research-and-development centers
around the world.
In April 2011, Samsung Electronics sold its HDD commercial operations to
Seagate Technology for approximately US$1.4 billion. The payment was composed of
45.2 million Seagate shares (9.6 percent of shares), worth US$687.5 million, and a cash
sum for the remainder.
In the first quarter of 2012, the company became the highest-selling mobile phone
company when it overtook Nokia, selling 93.5 million units compared to Nokia's 82.7
million units. Samsung also became the largest smart phone vendor as a result of strong
sales of its Galaxy SII and Galaxy Note devices.
In May 2013, Samsung announced that it had finally managed to test speed-
The ascent e-digit showroom is one of the leading electronic product outlets in
Hassan district. It was established in the year 2000, & its delivering to the customers in
and around Hassan neighbouring districts. For the past 10 years it’s been into active in
promoting electronic products but in the recent past since 2008 the sales of electronics
was dismal due the satisfaction among large group of customers due to deteriorating in
the quality of after sales service.
Hence the management has felt the need to conduct through analysis about the existing
customer satisfaction and after sales service of selective Samsung products. Hence the
management had realized the need to conduct the result oriented analysis through the
management trainees. I was glad to accept this assignment from the organisation
perspective & as a part of MBA curriculum.
“Customer satisfaction after sales & service” is the important statement of the problem
in this project.
1.4 OBJECTIVES OF THE STUDY
Primary Objective:
To study the level of satisfaction towards after sales-sales-service-of selective
Samsung electronic products.
Secondary Objective:
To identify the customer expectation regarding after sales service of Samsung
products.
To find out the perception of response towards after sales of Samsung brand.
To identify the customer awareness about after sales service provided by Samsung
dealers.
To identify the level of satisfaction among Samsung customers.
1.5 SCOPE OF THE STUDY
This study highlights the customer satisfaction about ascent e-digit showroom.
The aim of the study is about people satisfaction towards after sales service of
Ascent e-digit showroom.
This study helps to know about consumer satisfaction and after sales service of
Ascent e-digit showroom.
The research findings of this study will help the ascent e- digit showroom to
improve the timings and the consumer’s needs.
1.6 LIMITATIONS OF THIS STUDY
• The response given by the respondents may not be true, which may be subject to
change.
• The respondents may be careless in responding to the questionnaire.
• Unnecessary question arrived by illiterate people.
• The study limits to the geographical area of Hassan.
• The minimum respondents are not able to understand the question. So the missing
the value.
• The time of the study short duration so extra data not include.
CHAPTER II
REVIEW OF LITERATURE
Goffin,Slater (1994) After-sales service has emerged as a major source of
competitive manoeuvring, so firms strive for competitive advantages with their after-sales
service portfolio to differentiate offers from competitors.
Larissa,(1994) The concept of customer service has been a generic term used by
industry and academia to describe a set of activities in which a firm engages to win and
keep customers. Simply differentiation of customer service refers it to a variable that
expands the image of a product and thereby offers the possibility of market dominance.
Adrian, (1995) In today’s marketing environment, an increasingly important
source of competitive advantage is the way we serve customers. In recent years, more and
more organizations focus their attention on retaining existing customers rather than
attracting new ones.
Arvinder, (1996) An after-sales support strategy associated with a product may
include elements such as warranty provision, extended service contract provision,
availability of repair service, loan availability, toll-free phone support, etc.
Cohen and Whang, (1997) All of them believed that large number of extra after-
sales service plans to consumers will lead to customer satisfaction and retention as well
as higher profitability.
According to Eppientte,(1997) customer service has been emerging as a
competitive weapon for business firms. He mentioned. it is becoming harder and harder
to complete o manufacturing excellence alone. Manufactures who thrive. Will complete
by bundling services with products .’’ of course, use of customer service, as a form of
competition does not apply only to manufacturers. With the economy becoming
increasingly service based and new kinds of services being offered continually.
Rosen and Surprenant, (1998) Studied whether after sales service is enough for
the long relationship with customers. They selected two different industries with 220
respondents, while open ended questionnaire was used to collect the data. Both
descriptive and qualitative analyses were used to analyze the data. Results showed that
after sales service is marketing tool that create and establish long term relationship with
customers through good communication and flexibility.
Loomba, (1998) The last few decades have seen a growing trend toward
aggressive global competition, increased marketplace demands, and technological
changes. These developments are forcing organizations to take closer look at their
marketing channel strategy including addressing the issue of how to distribute their
products and offer associated after-sales service support. Many value-conscious
consumers are demanding that a company’s products offer more value than its
competitor’s products not only in its design and manufacturing, but also in product
delivery and support.
Lyer, (1998) In coordinating distribution channels through contractual
arrangements; manufacturers must deal with retailers who compete not only in price, but
also in important non-price factors such as in store services, after sales support or faster
check-out. Coordinating the price and non-price competition among retailers can be a
difficult task.
Tore and Uday, (2003) Providing the proper after sales service is very important
for firms and customers. Traditionally, support merely constituted maintenance, service
and repair. However, as the scope of product support has broadened over the past decade,
it has also included such aspects as installation, commissioning, training, maintenance
and repair services, documentation, spare parts supply and logistics, product upgrading
and medications, software, and warranty schemes, telephone support, etc.
Chien, (2005) also agreed that free basic after-sales service plays an important
role in attracting more customer attention in a market with severe brand competition.
Offering adequate after-sales service to customers has become a major generator of
revenue, profit, and competency in modern industries.
Saccani,(2007) Defined after-sales service for manufactured goods as the set of
activities taking place after the purchase of the product, devoted to supporting customers
in the usage and disposal of goods.
Gaiardelli,(2007) Define after sale service as those activities taking place after
the purchase of the product and devoted to supporting customers in the usage and
disposal of the goods.
Rigopoulou, (2008) Described after-sales services as services that are provided to
the customer after the products have been delivered. After sales services are often
referred to as “product support activities”, meaning all activities that support the product
centric transaction.
Shaharudin, (2009) Examined the factors of after sales service, which affect
customer satisfaction in the electronic market of Malaysia. After sales service was
determined through the delivery, installation and warranty. 100 respondents were
sampled through closed ended questionnaire, while Ordinary Least Square was used to
analyses the data.
Potluri and Hawariat, (2010) The term “after sales services” has been
approached in the literature under two broad perspectives. When referring to service
providing companies, after sales services are being treated as one among several
supplementary service elements provided. On the other hand, when referring to tangible
goods, they are mostly seen as operative activities of some or all members of the
distribution chain.
Raddats, (2011) is of opinion that customers are no longer demand just for a
product but also a comprehensive solution for their problem; they are increasingly
moving away from requesting for a specific product to requesting for a certain service
package (including the original purchase and all aftermarket needs) instead.
Ruben, (2012) After-sales services are an important marketplace differentiator
because primary products are often physically comparable. Also agreed that after sales
service significantly enhance the value of the product to its users. He noted that
customers may decide to purchase a product based upon service and aftermarket
considerations. After-sales services are the sum of activities taking place after the
purchase of a product which:
• Ensure that a product is available for trouble-free use over its useful life span and
guarantee the continuous availability of goods (preventive maintenance).
• Replace failed products in a timely and cost-effective manner (reactive
maintenance).
• Create competitive advantage for the customer (value added services).
Shaharudrn, (2013) After-sales service which is a part of customer relationship
management (CRM) helps to enhance a customer's loyalty. To date, there have been very
minimum studies that were conducted by taking into consideration the after-sales service
in business organizations particularly the electronic industry in Malaysia. Therefore from
the data presented in this study, it can be expected that the findings can benefit both
industrial and academician by giving a new source of ideas and information. There are
three research objectives of the study.
• To investigate the effects of delivery on customer satisfaction,
• To investigate the effects of installation on customer satisfaction and
• To investigate the effects of warranty on customer satisfaction.
Mohdrizaimy, (2013) The delivery, installation and warranty aspects are
important for business organizations to make their customers satisfied and delighted. The
delighted customers in turn will remain loyal and always have a positive impression
towards the company and its products. This is true because fast delivery is very crucial to
the customers to meet their usage and production requirement. Installing a quality service
and a fast response towards the warranty claim will give an indication of good quality and
value product. Future research should focus on the similar study of factors affecting
customer satisfaction in after-sales service in other prominent industries such as
automotive, construction and other manufacturing as well as service sectors so that such
constructible findings and conclusions can be generalized from study. Results indicated
to confirm on the earlier literature that there was strong relationship between the
dependent variables of customer satisfaction and three independent variables; delivery,
installation, and warranty.
CHAPTER III
RESEARCH METHODOLOGY
Research methodology is a way to systematically solve the research problem. It
may be understood as a science of study how research is done scientifically. In it we
study the various steps that are generally adopted by the researcher in studying his
research problem along with the logic behind them.
3.1 RESEARCH DESIGN
This research studies are concerned with describing the characteristics of a
particular individual or of a group. This study concerned with specific predictions, with
narration of facts and characteristics concerning individual, group or situation are
examples of descriptive studies.
Descriptive Research
Descriptive research design is a type of research method that is used when one
wants to get information on the current status of a person or an object. It is used to
describe what is in existence in respect to conditions or variables that are found in a given
situation.
3.2 SAMPLE DESIGN
A sampling design specifies for every possible sample its probability of being
drawn, mathematically, a sampling design is denoted by the function P(s) which gives the
probability of drawing a samples.
Sampling technique : Random simple sampling
Sample size : 300
Samplings area : Erode
Primary data : Questionnaires
Research tools : Percentage analysis, chi-square analysis, factor analysis, anova
analysis.
Sample size
Sample size SS = Z²x (p) x (1 – p)
C²
= (1.96)²*(0.5)*(1-0.5)
0.0016
= 3.8416*0.25
0.0016
= 600.25
SS = Sample Size
Z = Z-value (e.g., 1.96 for a 95 percent confidence level)
P = Percentage of population picking a choice, expressed as decimal
C = Confidence interval, expressed as decimal
Pop = Population
New SS = SS
( 1 + ( SS – 1 ))
Pop
= 600
(1+(600-1)
1000
= 600
1.599
= 375.93
From the total population, the researcher had taken 300 samples as per their
convenience.
3.3 METHODS OF DATA COLLECTION
A questionnaire has been used for data collection. The researcher interviews the
respondents. Respondents are guided by the researcher to answer the questions in the
questionnaire.
Pilot Study
All questionnaires should be pre-tested on a 35 sample to ensure the
questionnaire fulfils the requirement for the data to be collected . This provides the
researcher with an opportunity to clarify the questionnaire.
Data Collection Method
The researcher used questionnaire for collection of primary data. Secondary data
were collected from different sources.
Primary Data
The primary data were collected through questionnaire from customers of ascent
e-digit solutions (p) Ltd.
Secondary Data
The secondary data were collected from company profile, magazines, market
sources and internet.
3.4 TOOLS USED FOR ANALYSIS
Analysis is done on the bases of simple percentage and statistical analysis.
PERCENTAGE ANALYSIS
Percentage analysis is the method to represent raw streams of data as a percentage
(a part in 100-percent) for better understanding of correct data.
Percentage analysis = (No .of. Respondents/Total No. of .Samples)/100
FACTOR ANALYSIS
Factor analysis can be used to explore the data for patterns, confirm our
hypothesis, or reduce the many variables to a more manageable number.
ANOVA TEST
The test of significance based on t-distribution is an adequate procedure for
testing the significance of the difference between two sample means. In a situation when
we have three or more samples to consider at a time, an alternative procedure is needed
for testing the hypothesis that all the samples were drawn from the population with the
same mean. The basic purpose of the analysis of variance is to test the homogeneity.
CHI SQUARE TEST
The chi-square test is one of the simplest and most widely used non parametric
tests in statistical work. This test is used to find whether the two attributes are associated
are not. The quantity x2 describes the magnitude of the discrepancy between theory and
observation.
X2 = ∑ (Observed value-Expected value) 2
Expected value
CHAPTER IV
4 DATA ANALYSIS AND INTERPRETATION
4.1 PERCENTAGE ANALYSIS
TABLE NO: 1
GENDER
SL.NO GENDER FREQUANCY PERCENTAGE
1 MALE 147 49
2 FEMALE 153 51
TOTAL 300 100
INTREPRETATION:
From the above table it is inferred that, among the total number of respondents 51% of the respondents are female, and 49% of the respondents are belongs to male category.
CHART 1
GENDER
MALE FEMALE48
48.5
49
49.5
50
50.5
51
51.5
49
51
Gender
Per
cen
tage
TABLE NO: 2
AGE
SL.NO AGE FREQUANCY PERCENTAGE
1 21-30 years 128 43
2 31-40 years 172 57
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that , among the total number respondents 57% of the respondents are belongs to 31-40 years of age group and 43% of the respondents are belongs to 21-30 years of age group.
CHART 2
AGE
21-30 years 31-40 years0
10
20
30
40
50
60
43
57
Age
Per
cen
tage
TABLE NO: 3
MARTIAL STATUS
SL.NO
MARTIAL STATUS FREQUANCEY PERCENTAGE
1 Married 214 71
2 Unmarried 86 29
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents, 71% of the respondents are married and 29% of the then unmarried.
CHART 3
MARTIAL STATUS
Married Unmarried0
10
20
30
40
50
60
70
8071
29
Martial Status
Per
cen
tage
TABLE NO: 4
EDUCATION
SL.NO EDUCATION FREQUANCY PERCENTAGE
1 Illiterate 25 9
2 School Level 61 20
3 College 214 71
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents, 71% of the respondents are studying in college, 20% of the respondent’s qualification is at school level, and 9% of them are illiterate.
CHART 4
EDUCATION
Illiterate School Level College 0
10
20
30
40
50
60
70
80
9
20
71
Education
Per
cent
age
TABLE NO: 5
OCCUPATION
SL.NO OCCUPATION FREQUANCY PERCENTAGE
1 Agriculture 28 9
2 Business 59 20
3 Professional 101 34
4 Teacher/Professor 32 11
5 Employee 80 26
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents 34% of the respondents are professional, 26% of the respondents are working as employee, and 20% of the respondents are doing business, 11% of the respondents are teacher/professor, and 9% of the respondents are doing agriculture.
CHART 5
OCCUPATION
Agriculture Business Professional Teacher/Professor Employee 0
5
10
15
20
25
30
35
40
9
20
34
11
26
Occupation
Per
cent
age
TABLE NO: 6
INCOME
SL.NO
INCOME FREQUANCY PERCENTAGE
1 Below 10,000 1 1
2 Rs. 10,000-15,000 149 49
3 Rs. 15,001-20,000 89 30
4 Rs. 20,001-25,000 61 20
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents 49% of the respondents are earning Rs. 10,000-15,000 as their income, 30% of them are earning Rs.15,001-20,000 as their income, 20% of them are earning Rs. 20,001-25,000 as their income, and 1% is belongs to below 10,000 as their income.
CHART 6
INCOME
Below 10,000 Rs. 10,000-15,000
Rs. 15,001-20,000
Rs. 20,001-25,000
0
10
20
30
40
50
60
1
49
30
20
Income
Per
cent
age
TABLE NO: 7
CURRENTLY A PRODUCT USING BY CONSUMER
SL.NO PRODUCT FREQUANCY PERCENTAGE
1 Washing Machine 88 29
2 Air Conditioner 86 29
3 Printer 66 22
4 Refrigerator 60 20
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents 29% of the respondents are using Samsung washing machine and air conditioner, 22% of them are using Samsung printer, and 20% of them are using Samsung refrigerator currently.
CHART 7
CURRENTLY A PRODUCT USING BY CONSUMER
Washing Machine
Air Conditioner Printer Refrigerator0
5
10
15
20
25
30
35
29 29
2220
Currently a Product using by Consumer
Per
cent
age
TABLE NO: 8
GENERAL PERCEPTION ABOUT SAMSUNG
SL.NO PERCEPTION FREQUANCY PERCENTAGE
1 Excellent 151 50
2 Poor 104 35
3 Fair 45 15
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents, 50% of the respondents are having perception as excellent about Samsung products. 35% of them are having poor perception, and 15% of them are having fair perception respondents are poor, and 15% of the respondents are fair perception about Samsung products.
CHART 8
GENERAL PERCEPTION ABOUT SAMSUNG
Excellent Poor Fair0
10
20
30
40
50
60
50
35
15
General Perception
Per
cen
tage
TABLE NO: 9
MODE OF PURCHASE
SL.NO MODE OF PURCHASE FREQUANCY PERCENTAGE
1 By cash on delivery 189 63
2By every month instalment
111 37
TOTAL 300 100
INTERPRETATION:
From the above table it is inferred that, among the total number respondents 63% of the respondents are buying through cash on delivery, and 37% of them are buying through every month instalment.
CHART 9
MODE OF PURCHASE
By cash on delivery By early month instalment0
10
20
30
40
50
60
7063
37
Mode of Purchase
Per
cen
tag
e
TABLE NO: 10
AWARENESS ABOUT ASCENT E-DIGIT SOLUTIONS SAMSUNG
SHOWROOM
SL.NO AWARENESS FREQUANCY PERCENTAGE
1 Television 48 16
2 Word of mouth 89 20
3 Dealer 73 24
4 Bill board 90 30
TOTAL 300 100
INTREPRETATION:
From the above table it is inferred that, among the total number of respondent 30% of the respondents are aware through bill board, 24% of them are aware through dealer, 20% of them are aware through word of mouth advertisement and 16% of them are aware through television about ascent e-digit solutions Samsung showroom .
CHART 10
AWARENESS ABOUT ASCENT E-DIGIT SOLUTIONS SAMSUNG
SHOWROOM
Television Word of mouth Dealer Bill board0
5
10
15
20
25
30
35
16
20
24
30
Awareness about Ascent E-digit Solutions
Per
cen
tage
TABLE NO: 11
FREQUENCY TO GET AFTER SALES SERVICE
SL.NO FREQUENCY FREQUANCY PERCENTAGE
1 0 time 35 12
2 1 time 155 51
3 2 times 93 31
4 3 times 15 5
5 4 times 2 1
TOTAL 300 100
INTREPRETATION:
From the above table it is inferred that, among the total number of respondent 51% of the respondents are received only one time after sales service,31% of them are received 2times after sales service,12% of them are not received any after sales service,5% of them are received 3times and 1% of them are received 4times after sales service from Samsung showroom.
CHART 11
FREQUENCY TO GET AFTER SALES SERVICE
0 time 1 times 2 times 3 times 4 times0
10
20
30
40
50
60
12
51
31
51
Frequency to get After Sales Service
Per
cent
age
TABLE NO: 12
INFORMATION ABOUT THEIR AFTER SALES SERVICE
SL.NO
INFORMATION FREQUANCY PERCENTAGE
1 Very well informed 91 30
2 Well informed 59 20
3 Poorly informed 121 40
4Very poorly informed
29 10
TOTAL 300 100
INTREPRETATION:
From the above table it is inferred that, among the total number of respondents 40% of the respondents are poorly informed, 30% of the respondents are very well informed, 20% of the respondents are well informed, and 10% of the respondents are very poorly informed about their after sales service.
CHART 12
INFORMATION ABOUT THEIR AFTER SALES SERVICE
Very w
ell in
form
ed
Well
info
rmed
Poor
ly in
form
ed
Very po
orly
info
rmed
05
1015202530354045
30
20
40
10
Information About
Per
cent
age
TABLE NO: 13.1
BUYING OF ANOTHER SAMSUNG ELECTRONIC PRODUCTS IN FUTURE
SL.NO PRODUCT FREQUANCY PERCENTAGE
1 Washing Machine 13 4
2 Air conditioner 41 14
3 Printer 68 23
4 Refrigerator 54 18
TOTAL 176 59
INTREPRETATION:
From the above table it is inferred that, among the total number of respondents, 23% of the respondents would like to buy Printer, 18% of them would like to buy Refrigerator, 14% of them would like to buy Air Conditioner, and 4% of them would like to buy Washing machine.
CHART 13.1
BUYING OF ANOTHER SAMSUNG ELECTRONIC PRODUCTS IN FUTURE
Washing Machine
Air conditioner Printer Refrigerator0
5
10
15
20
25
4
14
23
18
Buying of Products in Future
Per
cen
tage
TABLE NO: 13.2
NOT PURCHASING OF SAMSUNG ELECTRONICS
SL.NO
NOT PURCHASE FREQUANCY PERCENTAGE
1 High price 31 10
2 Rare availability of spare parts 93 31
TOTAL 124 41
INTREPRETATION:
From the above table it is inferred that, among the total number of respondents, 31% of the respondents here said, due to rare availability of spare parts, they not purchase Samsung electronic goods, and 31% of them here said due to high price.
CHART 13.2
NOT PURCHASING A SAMSUNG ELECTRONICS
High price Rare availability of spare parts0
5
10
15
20
25
30
35
10
31
Not Purchasing
Per
cen
tage
TABLE NO: 14
ATTRACTION OF SAMSUNG PRODUCTS AMONG TODAY’S GENRATION
SL.NO ATTRACTION FREQUANCY PERCENTAGE
1 Strongly disagree 4 1
2 Disagree 16 5
3 Neutral 100 33
4 Agree 113 39
5 Strongly agree 67 22
TOTAL 300 100
INTREPRETATION:
From the above table it is inferred that, among the total number of respondents, 39% of the respondents are neutral, 33% of the respondents are agree, 22% of the respondents are strongly agree, 5% of the respondents are disagree, and 1% of the respondents are strongly disagree.
CHART 14
ATTRACTION OF SAMSUNG PRODUCTS AMONG TODAY’S GENRATION
Strongly disagree
Disagree Neutral Agree Strongly agree
0
5
10
15
20
25
30
35
40
45
1
5
39
33
22
Attraction of Samsung
Per
cent
age
TABLE NO: 15.1
FACTOR ANALYSIS
EXPECTATION OF THE SAMSUNG PRODUCTS
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .553
Bartlett's Test of Sphericity
Approx. Chi-Square 3785.242
Df 105
Sig. .000
Total Variance Explained
COMPONENT INITIAL EIGENVALUES ROTATION SUMS OF SQUARED
LOADINGS
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3.290 21.934 21.934 3.023 20.152 20.152
2 2.931 19.539 41.474 2.911 19.404 39.556
3 2.131 14.205 55.679 2.285 15.236 54.792
4 1.995 13.299 68.978 2.085 13.903 68.695
5 1.955 13.032 82.010 1.997 13.315 82.010
6 .859 5.730 87.740
7 .625 4.169 91.909
8 .377 2.515 94.424
9 .239 1.597 96.021
10 .162 1.081 97.102
11 .126 .840 97.943
12 .105 .702 98.644
13 .082 .549 99.193
14 .069 .463 99.656
15 .052 .344 100.000
Rotated Component Matrix
COMPONENT
1 2 3 4 5
Offers, price discount .835 .043 .157 .182 -.334
Service -.775 .014 .438 .148 .114
Performance .765 -.179 .061 .323 .446
Durability .742 .135 .025 -.487 -.008
Reliability .187 .831 -.062 -.002 -.104
Less maintenance cost -.229 .817 .090 -.240 -.019
Design style -.012 -.789 .074 -.044 .028
Gift -.060 .643 -.267 .287 .420
More models -.191 .176 .853 -.211 -.145
Quality .027 -.300 .792 .298 .050
Affordable Price .508 -.341 .675 .148 .259
After sales service .245 .281 .094 .848 -.015
Exchange product value .162 .192 -.019 -.776 .085
All product availability .302 .238 .211 -.031 -.852
Quick delivery .155 .231 .336 -.265 .813
INTERPRETATION:
From the factor analysis, it is found that only the five factors are highly affected
while buying Samsung products, the first factor is offer, price, discount (0.835) and the
2nd factor is reliability (0.831) and the 3rd factor is more model (0.853) and the 4th factor is
after sales service (0.848) and fifth factor is quick delivery (0.813).
TABLE NO: 15.2
FACTOR ANALYSIS
EXPECTATION OF AFTER SALES SERVICE IN ASCENT DIGIT
SOLUTIONS
Total Variance Explained
Component Initial Eigen Values Rotation sums of squared
loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3.442 34.422 34.422 2.794 27.938 27.938
2 1.815 18.150 52.573 2.414 24.144 52.082
3 1.785 17.850 70.422 1.834 18.340 70.422
4 .971 9.711 80.133
5 .654 6.539 86.672
6 .465 4.648 91.319
7 .444 4.438 95.757
8 .249 2.490 98.247
9 .107 1.074 99.321
10 .068 .679 100.000
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .456
Bartlett's Test of Sphericity
Approx. Chi-Square 1749.198
Df 45
Sig. .000
Rotated Component Matrix
Component
1 2 3
While fault was being rectified .880 .023 .258
Staff efficiency staff courtesy .839 .160 .021
Customer complain -.694 -.388 .162
Equipment returned -.592 .162 .094
Semi-Follow-Up -.008 .901 .050
Understanding and accessing of your problem
.015 .900 -.007
Relationship maintain -.545 -.653 -.143
Service charges -.034 .291 .799
Time taken .347 .048 .773
Response .255 .273 -.688
INTERPRATATION:
From the factor analysis, it is found that only three factors are highly affected
expectation of after sales service in ascent digit solutions. The first factor is while fault
was being rectified (0.880) and the 2nd factor Understands and accessing of your problem
(0.900) and the 3rd factor is (0.799).
TABLE NO: 15.3
FACTOR ANALYSIS
SATISFIED WITH AFTER SALES SERVICES OF ASCENT DIGIT SOLUTIONS
SHOWROOM
Total Variance Explained
Component Initial Eigen Values Rotation sums of squared loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3.895 38.955 38.955 3.072 30.717 30.717
2 2.203 22.032 60.987 2.900 29.004 59.721
3 1.403 14.029 75.016 1.529 15.295 75.016
4 .798 7.985 83.000
5 .597 5.965 88.966
6 .501 5.012 93.977
7 .313 3.133 97.110
8 .168 1.682 98.792
9 .082 .822 99.614
10 .039 .386 100.000
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .544
Bartlett's Test of Sphericity
Approx. Chi-Square 2252.667
Df 45
Sig. .000
Rotated Component Matrix
Component
1 2 3
Response -.903 .196 -.121
Semi-Follow-Up -.898 -.105 .138
While fault was being rectified .706 .578 .053
Customer complain .620 .257 -.193
Relationship maintain .029 -.841 .266
Time taken .456 .812 .141
Understanding and accessing of your problem
.387 -.710 .346
Equipment returned .236 .645 .231
Staff efficiency staff courtesy .006 .113 .906
Service charges -.392 -.388 .610
INTERPRATATION:
From the factor analysis, it is found that only the three factors are highly affected
satisfied with after sales services of ascent digit solutions showroom. The first factor is
while fault was being rectified (0.706) and the 2nd factor is time taken (0.812) and the 3rd
factor is Staff efficiency staff courtesy (0.906).
TABLE NO: 16.1
ANALYSIS OF VARIANCE
The test of significance based on t-distribution is an adequate procedure for
testing the significance of the difference between two sample means. In a situation when
we have three or more samples to consider at a time, an alternative procedure is needed
for testing the hypothesis that all the samples are drawn from the population with the
same mean. The basic purpose of the analysis of variance is no test the homogeneity.
RELATIONSHIP BETWEEN INCOME AND EXPECTATION OF THE
SHOWROOM
Aim: To find the variance between the gender group of the respondents and expectation
level of about Samsung showroom.
Null Hypothesis (H0): There is no variance between the income group of the
respondents and expectation level of about ascent e-digit showroom..
Alternative Hypothesis (H1): There is a variance between the income group of the
respondents and expectation level of about ascent e-digit showroom.
INTERPRATATION:
As the calculated of F value (114.620) is greater than the table value (2) at 5% so we reject the null hypothesis and there is a close significant difference among income and expectation factors.
TABLE NO: 16.2
ANOVA
Income
Sum of Squares
Df Mean Square
F Sig.
Between Groups
81.461 2 40.730 114.620 .000
Within Groups 105.539 297 .355
Total 187.000 299
RELATIONSHIP BETWEEN AGE AND SATISFIED WITH THE ASCENT
DIGIT SHOWROOM
Aim: To find the variance between the gender group of the respondents and satisfaction
level of about Samsung showroom.
Null Hypothesis (H0): There is no variance between the age group of the respondents
and satisfaction level of about ascent e-digit showroom.
Alternative Hypothesis (H1): There is a variance between the age group of the
respondents and satisfaction level of about ascent e-digit showroom.
INTERPRATATION:
As the calculated F value (9.740) is greater than the table value (2) at 5%. We reject the null hypothesis and there is close significance difference in age and satisfied with the ascent digit showroom.
TABLE NO: 17
ANOVA
Age
Sum of Squares
Df Mean Square
F Sig.
Between Groups
4.517 2 2.259 9.740 .000
Within Groups 68.869 297 .232
Total 73.387 299
CHI SQUARE TABLE
PREFER THIS SHOWROOM AND FREQUENCY TO GET AFTER SALES
SERVICE
Null Hypothesis (H0):
There is no significant relationship between prefer this showroom of the respondents and how many times did you get after sales service.
Alternative Hypothesis (H1):
There is significant relationship between prefer this showroom of the respondents and how many times did you get after sales service.
Level Of Significance:
0.05 or 5% level of significance
CROSS TAB
HOW MANY TIMES DID YOU GET AFTER SALES SERVICE * SAT CROSS TABULATION
Sat Total
0 Very less
importance
Less
importance
Neutral
How many times did you
get after sales service0 times
Count 0 23 10 2 35
% within sat 0.0% 15.8% 9.4% 4.3% 11.7%
1 timesCount 0 31 91 33 155
% within sat 0.0% 21.2% 85.8% 70.2% 51.7%
2 timesCount 1 88 3 1 93
% within sat 100.0% 60.3% 2.8% 2.1% 31.0%
3 times Count 0 2 2 11 15
% within sat 0.0% 1.4% 1.9% 23.4% 5.0%
4 times Count 0 2 0 0 2
% within sat 0.0% 1.4% 0.0% 0.0% 0.7%
Total Count 1 146 106 47 300
% within sat 100.0% 100.0% 100.0% 100.0% 100.0%
DEGREES OF FREEDOM
=(R-1)*(C-1)
=(5-1)*(4-1)
=(4)*(3)
=12
From the degrees of freedom with 5% level of significant the Table value,
TV = 0.000
Hence, calculated value is greater than the Table value,
CV>TV (180.233>0.000)
Null hypothesis is rejected.
INTERPRETATION:
Therefore, there is a significant relationship between preference about showroom and frequency to get after sales service.
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 180.233a 12 .000
Likelihood Ratio 190.464 12 .000
Linear-by-Linear Association
6.162 1 .013
N of Valid Cases 300
a. 9 cells (45.0%) have expected count less than 5. The minimum expected
count is .01.
CHAPTER V
FINDINGS, SUGGESTIONS AND CONCLUSION
5.1 FINDINGS
51% of the respondents are female gender.
57% of the respondents are belongs to 31-40 years of age group.
71% of the respondents are married
71% of the respondents are studying in college.
34% of the respondents are professional.
49% of the respondents are earning Rs. 10,000-15,000 as their income.
29% of the respondents are using Samsung washing machine and air conditioner
50% of the respondents are having perception as excellent about Samsung
products.
63% of the respondents are buying through cash on delivery.
30% of the respondents are aware through bill board.
51% of the respondents are received only one time after sales service.
40% of the respondents are poorly informed.
23% of the respondents would like to buy Printer in future years.
31% of the respondents wait go for future purchase due to rare availability of
spare parts.
39% of the respondents are said that, today’s generations are attracted by
Samsung.
FACTOR ANALYSIS
The following are analyzed
The extracted three factors showed a cumulative variance of 82%, which means a
good factor analysis, has been done.
The extracted three factors showed a cumulative variance of 70%, which means a
good factor analysis, has been done.
The extracted three factors showed a cumulative variance of 75%, which means a
good factor analysis, has been done.
ANOVA ANALYSIS
The following are interpreted
There is a variance between the income group of the respondents and expectation
level of about ascent e-digit showroom.
There is a variance between the age group of the respondents and satisfaction
level of about ascent e-digit showroom.
CHI-SQUARE ANALYSIS
The following are analyzed
There is significant relationship between prefer this showroom of the respondents and how many times did you get after sales service.
5.2 SUGGESTION
Samsung e-digit solutions have to provide adequate and updated information
about the product to the customer as and when required through the trained
persons.
Customer database have to maintain for further contact by Samsung e-digit
solution of retain their customers.
Samsung e-digit solutions have to introduce a minimum of 3 months instalment
credit periods to satisfy their customers.
After their service, the showroom has to pass the information to their respective
customers regarding the service completion.
The showroom has to increase the availability of spare parts to avoid the
inconvenience among the customers to use the product as their wish.
While promoting all Samsung products the Showroom have to introduce free gifts
or trade discount to increase the sales.
In future period, number of Samsung service centres have to be increased in erode
town to provide enough services for their customers.
5.3 CONCLUSION
From this study, it is very clear that ‘Ascent e-digit showroom’ has a great positive
impact among the high class and middle class people who are living in the ERODE town.
They increasing more number of electronic product issued to the used to middleclass. .
It’s the present day demand to run hand with the latest technology. If the same strategy is
continued or even improved, this scheme will create a great ‘good will’ by ascent e-digit
showroom. With the present study an attempt is made to describe the existing situation
regarding consumers’ perceptions about Samsung products. The study found that the
groups of buyers and non-buyers have significant differences in demographic
characteristics.
APPENDIX
A Study on Customer Satisfaction towards After-Sales-Service of Selected Samsung Electronic Products with - Special Reference to
Ascent e-Digit Solutions (P) Ltd, Erode
Questionnaire
1. Name:
2. Gender
a) Male b) Female
3. Age (In Years)
a) 21-30years b) 31-40years c) Above 40years
4. Marital Status a) Married b) Unmarried
5. Education
a) Illiterate b) School Level c) College d) Professional e) Others (Specify)
6. Occupation
a) Agriculture b) Business c) Professional d) Teacher/Professor e) Employee
f) Others (Specify)
7. Income
a) Below 10,000 b) Rs. 10,000-15,000 c) Rs. 15,001-20,000 d) Rs. 20,001-25,000
e) Rs. 25,001-30,000 f) Above Rs. 30,000
8. Mention the product that your possess?
a) Washing Machine b) Air Conditioner c) Printer d) Refrigerator
9. What is your general perception about Samsung electronics product?
a) Excellent b) Good c) Fair d) Poor e) Worst
10. Which mode of purchase do you prefer?
a) By cash on delivery b) By early month instalment
11. kindly tick ( ) the following which factors would you consider while buying Samsung products.
(VH- Very High, H- High, M- Medium, L- Low, VL- Very Low)
Serial No
Factor VH H M L VL
1 Performance2 Design Style
3 Service4 Durability5 Affordable Price6 Offers, price discount7 All product availability8 More models9 Less maintenance cost
10 Reliability11 Quick delivery12 Exchange product value13 Quality14 After sales service15 Gift
12. How for are you satisfied with the following factors?
3 Service4 Durability5 Affordable Price6 Offers and price discount7 All product availability8 More models9 Less maintenance cost10 Reliability11 Quick delivery12 Exchange product value13 Quality14 After sales service15 Gift
13. Kindly tick ( ) the following that, why do you prefer this showroom?
( HI-High importance, I- Importance, N- Neutral, L- Less importance, VLI- Very less importance)
Factor HI I N LI VLI
LocationOn time deliveryPrice ( value for money)
AvailabilityAfter sales responseKnowledge of salesmenWarranty, Guarantee ComfortableTechnology up gradationSuperior qualityMore modelsPromotional offersQuick deliveryCredit facility
14. How for are you satisfied with ascent digit solutions showroom with the following factors?
