ijmrr volume 1, issue 1 (march, 2013) intercontinental journal of marketing research review o ter-c...
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Volume 1, Issue 1 (March, 2013)
INTERCONTINENTAL JOURNAL OF MARKETING RESEARCH REVIEW
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A STUDY ON CUSTOMER PERCEPTION TOWARDS BAJAJ BIKES AT SPECIAL
REFERENCE WITH AADHITYA MOTORS
S.ANANDKUMAR
DEPARTMENT OF MANAGEMENT STUDIES, GNANAMANI COLLEGE OF TECHNOLOGY, NAMAKKAL
ABSTRACT
Satisfaction is a person‟s feelings of pleasure or disappointment resulting from comparing a product‟s
perceived performance (or outcome) in relation to his or her expectations. Whether the buyer is satisfied
after purchase depends on the offer‟s performance in relation to the buyer‟s expectations. If the
performance falls short of the expectations, the customer is dissatisfied. If the performance matches the
expectations, the customer is satisfied. If the performance exceeds expectations the customer is highly
satisfied or delighted. A company would be wise to measure customer satisfaction regularly because one
key to customer retention is customer satisfaction. A highly satisfied customer generally stays loyal
longer, buys more as the company introduces new products and upgrades existing products, talks
favorably about the company and its products, pays less attention to competing brands and is less
sensitive to price, offers product or service ideas to the company, and costs less to serve than new
customers because transactions are routine. The company must also realize that two customers can report
being “highly satisfied” for different reasons. One may be easily satisfied most of the time and the other
might be hard to please but was pleased on this occasion. A number of methods exist to measure customer
satisfaction. Periodic surveys can track customer satisfaction directly. Respondents can also be asked
additional questions to measure re purchase intention and the likelihood or willingness to recommend the
company and brand to others. In this study an attempt is made to study the satisfactory level of customers
towards Aadiya Bajaj Dharapuram and included samples of only who bought bajaj bikes through aadiya
bajaj.
1. INTRODUCTION TO THE STUDY
The Britannica Encyclopedia describes a motorcycle as a bicycle or tricycle propelled by an
internal-combustion engine (or, less often, by an electric engine).
A Peer Reviewed International Journal
IJMRR
INTERCONTINENTAL JOURNAL OF MARKETING RESEARCH REVIEW
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The automobile was the reply to the 19th-century dream of self-propelling the horse-drawn
carriage. Similarly, the invention of the motorcycle created the self-propelled bicycle. The first
commercial design was a three-wheeler built by Edward Butler in Great Britain in 1884. This employed a
horizontal single-cylinder gasoline engine mounted between two steer able front wheels and connected by
a drive chain to the rear wheel.
The 1900s saw the conversion of many bicycles, or pedal cycles by adding small, centrally
mounted spark ignition engines. There was then felt the need for reliable constructions. This led to road
trial tests and competition between manufacturers. Tourist Trophy (TT) races were held on the Isle of
Man in 1907 as reliability or endurance races. Such were the proving ground for many new ideas from
early two-stroke-cycle designs to supercharged, multivalve engines mounted on aerodynamic, carbon-
fibre reinforced bodywork.
1.1 REVIEW OF LITERATURE
Various surveys and researches have been carried out regarding what a customer expects from a dealer of
automobiles. Some of them, which the researcher has taken into account, are:Parmod Pathak, Saumya
Singh, (2004) reviewed about " What Does A consumer want from a Bike " dubey J and Patel R reviewed
about "Role of Advertisement : in buying decision of bikes " Auto India and Overdrive India web sites
provides us a lot of information about the various features provided by various power bikes.
Schiffman. G. Leon and kanuk lazare Leslie - Study of the customer behavior is the study of how
individuals make decisions to spend their available resources (Time, Money and Efforts) on consumption
related items. It includes the study what they buy, when they buy it, when they buy it, where they buy it,
how often they buy it and how often they use it. The primary purpose for the study consumer behavior as
a part of marketing curriculum is to understand how and how customers make their purchase decisions.
Their insights enable marketers to design more effective marketing strategies.
Gupta.C .B and Dr. Nair. N.Rajan - A business is based on understanding the customer and providing the
kind of products that the customer wants.
Mamoria C.B. and Mamoria Satish-Consumer behavior is the process whereby individuals decide what,
when, where, how and from whom to purchase goods and services. Buying behavior may be viewed as an
orderly process here by individual interacts with his environment for the purpose of making market
decision on products and services.
Nair Suja. R.- The success of the firm will be determined by how effective it has been in meeting the
diverse customer needs and wants by treating each customer as unique and offering products and services
to suit his/her needs.
Webster, Fredrick. F, Marketing for manager (1947) concluded that the following are the major factors
influencing customer satisfaction towards a two wheeler. Money, Vanity, Acquisitiveness, Rivalry,
Comfort, Adornment cleanliness, Companionship, Collecting, Amusement, Sensual gratification,
Construction. Aggrandizement, Mental culture, Affection, Social achievements, Ambitions,
Inhavitiveness, Reverance, Romance, Aesthetic tastes, Sex, Limitations, Curiosity, Patriotism and so on"
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2. OBJECTIVES OF THE STUDY
Primary objective
To study the customer perception towards Bajaj motorbikes.
Secondary objective
1. To identify and rank the product features given preference while buying a motorbike.
2. To study the post purchase attitude of the Bajaj motorbike owners.
3. To know the age consumption pattern (i\e) which age group of people mostly like Bajaj vehicle.
LIMITATIONS OF THE STUDY
The study was conducted in Dharapuram Taluk, Tirupur district. So, the results may not be applicable to
other parts of the country.
The time duration allotted for this study was insufficient, So, the sample size was limited to 250 only.
Only some important questions are dealt with customer satisfaction and other questions are not
covered in this study.
3.RESEARCH METHODOLOGY
Research Design
The research design that is adopted in this study was descriptive design. Descriptive research is used to
obtain information concerning the current status of the phenomena to describe, "What exists"
with respect to variables or conditions in a situation. The focus of this study was on self-reported
decisions made by various customer acceptance levels at Aadhithya bajaj. Thus it involves Statement of
the problem, Identification of information needed to solve the problem, Selection or development of
instruments for gathering the information, Identification of target population and determination of
sampling procedure, Design of procedure for information collection, Collection of information, Analysis
of information, Generalizations and/or predictions.
Sampling Design
Convenience sampling (sometimes known as grab or opportunity sampling) is a type of non-probability
sampling which involves the sample being drawn from that part of the population which is close to hand.
That is, a population is selected because it is readily available and convenient. It may be through meeting
the person or including a person in the sample when one meets them or chosen by finding them through
technological means such as the internet or through phone. The researcher using such a sample cannot
scientifically make generalizations about the total population from this sample because it would not be
representative enough.
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The sample size of this study is 250 customers who purchased two - wheeler from AAdhithya motors.
Data collection methods
Both primary and secondary data were used by the researcher for this research study.
Primary data
Primary data are data, which are collected afresh and for the first time, and thus happen to be original in
character. The primary data were collected from various customers with the help of a well structured
questionnaire.
Secondary data
Secondary data consist of information that already exists somewhere, have been collected. Secondary data
are collected from company websites and magazines and using some library books.
Tools for Analysis
After the data has been collected, it was tabulated and findings of the project were presented followed by
analysis and interpretation to reach certain conclusions. Simple statistical tools like percentage analysis
and weighted average test were used by the researcher to analyze the data. The diagrammatic
representations were given through pie diagram and bar charts.
Statistical Tools: Percentage analysis
Percentage refers to a special kind of ratio; percentages are used in making comparison between two or
more series of data. Percentages are use to describe relationships. Percentages are also used to compare
the relative terms, the distribution of two or more series of data.
No. of respondents
Percentage of customer = * 100
Total customer
Weighted Average
The weighted mean is similar to an arithmetic mean (the most common type of average), where instead
of each of the data points contributing equally to the final average, some data points contribute more than
others. The notion of weighted mean plays a role in descriptive statistics and also occurs in a more
general form in several other areas of mathematics.
If all the weights are equal, then the weighted mean is the same as the arithmetic mean. While weighted
means generally behave in a similar fashion to arithmetic means, they do have a few counterintuitive
properties, as captured for instance in Simpson's paradox.
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The term weighted average usually refers to a weighted arithmetic mean, but weighted versions of other
means can also be calculated, such as the weighted geometric mean and the weighted harmonic mean.
Chi-Square
Chi-square test is used to find out whether there is relationship among various groups chi-square can be
calculated using the formula,
X2 =
S (O –E) 2 / E
Where,
O=Observed frequencies
E=Expected frequencies.
4.ANALYSIS AND INTERPRETATION
4.1 SIMPLE PERCENTAGE METHOD
TABLE 4.1.1 AGE GROUP OF THE RESPONDENTS
Sl. No Age No. of Respondents Percentage
1 18 – 25 43 17.20
2 26 – 35 65 26.00
3 36 – 45 60 24.00
4 above 45 82 32.80
Total 250 100.00
From the above table it is inferred that the 32.80% of respondents are in the age group of above
45 years 26% of the respondents are in the age group of 26-35, 24%of respondents are between the age
limit of 26-35 and remaining 17.20% of the respondents are between 18-25 age limit.
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TABLE 4.1.2 OCCUPATION OF THE RESPONDENTS
Sl. No Occupation No. of Respondents Percentage
1 Agri 35 14.00
2 Business man 100 40.00
3 Govt. 15 6.00
4 Private 58 23.20
5 Student 42 16.80
Total 250 100.00
From the above table it is inferred that the 40% of the respondents are business men, 23.20% of
respondents are private employees, 16.80 % of the respondents are students, 14% of the respondents are
doing agriculture and remaining 6% of the respondents are Government employees.
TABLE 4.1.3EDUCATIONAL QUALIFICATION OF THE RESPONDENTS
Sl. No Education No. of Respondents Percentage
1 Not Studied 8 3.20
2 Upto 12th Std 72 28.80
3 UG 121 48.40
4 PG 49 19.60
Total 250 100.00
From the above table it is inferred that 48.40% of respondents are graduates, 28.80% of the
respondents are HSC, 19.60% of the respondents are PG degree holders, and remaining 3.20% of the
respondents are falling under uneducated category.
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TABLE 4.1.4 INCOME LEVEL OF THE RESPONDENTS
Sl. No Income Level No. of Respondents Percentage
1 Below Rs.5000 15 6.00
2 Rs.5001-10000 105 42.00
3 Rs.10001-15000 87 34.80
4 Rs15001-20000 33 13.20
5 Above 20000 10 4.00
Total 250 100.00
From the above table, it is inferred that 42% of the respondents are earning 5001-10000 per
month, 34.80% of respondents are earning between Rs.10001-15000 per month, 13.20% of the
respondents are earning between 15001- 20000, 6% of the respondents are earning below 50000 per
month, and remaining 4% of the respondents are earning above 20000 per month.
TABLE 4.1.5 EARNING MEMBERS IN THE FAMILY
Sl. No Earnings No. of Respondents Percentage
1 One 85 34.00
2 Two 115 46.00
3 Three 42 16.80
4 Four 8 3.20
Total 250 100.00
From the above table, it is inferred that 46% of the respondents are having two earning members
in their family, 34% of the respondents family are having only one earning members, 16.80% of the
respondents are having three earning members, and remaining 3.20% of the respondents are having Four
earning members in their family.
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TABLE 4.1.6 BRAND OF THE VEHICLE
Sl. No Brand No. of Respondents Percentage
1 Pulsar 150 95 38.00
2 CT 100 13 5.20
3 Discover 100 40.00
4 Pulsar 220 5 2.00
5 Avenger 3 1.20
6 Platina 29 11.60
7 Boxer 5 2.00
Total 250 100.00
From the above table it is inferred that the 40.00% of respondents are having Discover, 38.00% of
respondents are having Pulsar 150. 11.60% of respondents are having Platina, 5.20% of the respondents
are having CT 100, 2.00% of the respondents are pulsar 220 and another 2% of the respondents are
having Boxer and remaining 1.20% of the respondents are using Avenger.
TABLE 4.1.7 RESPONDENT’S FIRST VEHICLE
Sl. No First Vehicle No. of Respondents Percentage
1 Yes 143 57.20
2 No 107 42.80
Total 250 100.00
From the above table it is inferred that the 57% of the respondents have said that this is their first
vehicle and remaining 43% of the respondents have said that this is not their first vehicle.
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TABLE 4.1.8 BRAND OF VEHICLE OWNED EARLIER
Sl. No Brand Name No. of Respondents Percentage
1 CD 100 10 9.35
2 Splendor 11 10.28
3 Suzuki Max 100 3 2.80
4 Tvs star city 22 20.56
5 Max 100 R 4 3.74
6 XL Super 1 0.93
7 XL Heavy Duty 1 0.93
8 Victor GL 5 4.67
9 RX 100 5 4.67
10 RX 135 5 4.67
11 Libero 1 0.93
12 CT 100 1 0.93
13 BYK 1 0.93
14 4S Champion 3 2.80
15 K Bajaj 3 2.80
16 Boxer AT 1 0.93
17 Boxer CT 1 0.93
18 Caliber 1 0.93
19 Caliber 115 1 0.93
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20 Adreno 1 0.93
21 Thunder Bird 2 1.87
22 Mashimo 2 1.87
23 M 80 6 5.61
24 TVS 50 16 14.95
Total 107 100.00
From the above table it is inferred that the 21% of the respondents are using Suzuki, 15% of the
respondents are using TVS 50, 10% of the respondents are using Splendor and 9% of the respondents are
using CD 100.
TABLE 4.1.9 REASON FOR CHANGING THE VEHICLE
Sl. No Reason No. of Respondents Percentage
1 Mileage 55 51.40
2 Old Vehicle 31 28.97
3 Dissatisfaction 21 19.63
Total 107 100.00
From the above table, it is inferred that 51.40% of the respondents have said that they changed
their vehicle because of Mileage, 28.97% of the respondents have said that they changed their vehicle
because of Old Vehicle and remaining 19.63% of the respondents have said that they changed their
vehicle because of dissatisfaction.
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TABLE 4.1.10 YEAR OF USING
Sl No Usage No. of Respondents Percentage
1 1 - 3 Months 25 10.00
2 4 - 6 Months 2 0.80
3 7 - 1 Years 20 8.00
4 1 - 2 Years 72 28.80
5 More than 2 Year's 119 47.60
6 More than 3 Year's 12 4.80
Total 250 100.00
From the above table, it is inferred that 47.60% of the respondents are using the vehicle for the past 2
year, 28.80% of the respondents are using the vehicle for the past 1–2 years, 10% of the respondents are
using the vehicle for the past 1–3 months, 8% of the respondents are using the vehicle for the past 7
months – 12 months, 4.80% of the respondents are using the bike for more than 3 years and remaining
.80% of the respondents are using the bike for 4-6 months.
TABLE 4.1.11 NO. OF VEHICLES USED
Sl. No No. of Vehicles No. of Respondents Percentage
1 Only 1 Two-Wheeler 92 36.80
2 2 Two-Wheeler 61 24.40
3 1 Two-wheeler & 1 Four-Wheeler 76 30.40
4 More than 2 Two-wheeler &
More than 1 Four-Wheeler
21 8.40
Total 250 100.00
From the above table it is inferred that the 36.80% of the respondents are having only 1 Two-
Wheeler, 30.40% of the respondents are having 1 Two-Wheeler and 1 Four-Wheeler, 24.40% of the
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respondents are having 2 Two-Wheelers and remaining 8.40% of the respondents are using more than 2
two-wheeler and more than I four wheeler.
TABLE 4.1.12 VISIT OTHER DEALERS BEFORE BUYING THE VEHICLE
Sl. No Dealers Name No. of Respondents Percentage
1 Senthil Autos 7 2.80
2 Sri Velavan 1 0.40
3 Siva Sakthi 1 0.40
4 Noble Hondo 2 0.80
5 Lotus TVS 4 1.60
6 Supreme 4 1.60
7 Balasundram 3 1.20
8 P & C Motors 4 1.60
9 M & M 1 0.40
10 No Visited Dealers 223 89.20
250 100.00
From the above table it is inferred that the 89% of the respondents did not visit any other dealers
before buying the vehicle, 3% of the respondents visited Hero Honda (Senthil Autos) Dealer before
buying the vehicle and 2% of the respondents visited Lotus TVS, Aanoor and P & C Motors before
buying the vehicle.
TABLE 4.1.13 OPINION ON OVERALL PERFORMANCE OF THE VEHICLE
Sl. No No. of Vehicles No. of Respondents Percentage
1 Highly Satisfied 6 2.40
2 Satisfied 70 28.00
3 Neutral 155 62.00
4 Dissatisfied 16 6.40
5 Highly Dissatisfied 3 1.20
250 100.00
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From the above table it is inferred that the 62.0% of the respondents are neither satisfied nor dissatisfied
with the overall performance of the vehicle, 28.0% of the respondents are satisfied, 6.40% of the
respondents are dissatisfied, 2.40% of the respondents are highly satisfied and remaining 1.20% of the
respondents are highly dissatisfied with the overall performance of the vehicle.
TABLE 4.1.14 BRAND CHOSEN BY THE RESPONDENTS
Sl. No Choosing No. of Respondents Percentage
1 Self made 122 48.80
2 Friends 70 28.00
3 Dealers Approach 5 2.00
4 Family Members 25 10.00
5 Mechanics 22 8.80
6 Advertisements 6 2.40
7 Others 0 0.00
250 100.00
From the above table, it is inferred that the 48.80% of the respondents‟ decision is self made,
28.0% of the respondents choose this brand by the influence of their friends, 10.0% of the respondents
choose this brand by the influence of Family Members wish.
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ABLE 4.1.15 MILEAGE PROMISED BY THE DEALER
Sl. No Mileage of Vehicle No. of Respondents Percentage
1 50Km / Lit 6 2.40
2 51-60Km / Lit 23 9.20
3 61-70km / Lit 68 27.20
4 71-80 Km / Lit 81 32.40
5 Above 80 Km / Lit 72 28.80
250 100.00
From the above table it is noted that 32.40% of the respondents replied that the dealer have
promised a mileage of 71-80 KM / Liters, 28.80% of the respondents replied that the dealer have
promised a mileage of above 80KM / Liters.
TABLE 4.1.16 ACTUAL MILEAGE
Sl. No Actual Mileage No. of Respondents Percentage
1 Below 50Km / Lit 25 10.00
2 51-60Km / Lit 47 18.80
3 61-70km / Lit 110 44.00
4 71-80 Km / Lit 64 25.60
5 Above 80 Km / Lit 4 1.60
250 100.00
From the above table it is inferred that the 44.0% of the respondents are getting mileage of 61-
70Kms/Lit, 26% of the respondents are getting mileage of 71-80Kms/Lit and 19% of the respondents are
getting mileage of 51-60Kms/Lit.
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TABLE 3.1.17 SATISFACTION ON MILEAGE
Sl. No Satisfaction Level No. of Respondents Percentage
1 Highly Satisfied 8 3.20
2 Satisfied 206 82.40
3 Neutral 24 9.60
4 Dissatisfied 7 2.80
5 Highly Dissatisfied 5 2.00
250 100.00
From the above table it is inferred that the 82.40% of the respondents are satisfied with the
mileage, 9.60% of the respondents are neither Satisfied nor dissatisfied, 3.20% of the respondents are
Highly Satisfied , 2.80% of the respondents are dissatisfied and remaining 2% of the respondents are
highly dissatisfied with the mileage.
TABLE 3.1.18 USAGE OF THE VEHICLE
Sl. No Usage of Vehicle No. of Respondents Percentage
1 Very Often 25 10.00
2 Daily 209 83.60
3 Weekly Once 5 2.00
4 Once in two days 6 2.40
5 Based on Needs 5 2.00
250 100.00
From the above table, it is inferred that the 83.60% of the respondents are using their vehicle
daily, 10.0% of the respondents are using their vehicle very often and 2% of the respondents are using
their vehicle once in two days.
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TABLE 4.1.19 KILOMETERS COVERED IN A MONTH
Sl. No Kilometer No. of Respondents Percentage
1 0 - 100Kms 6 2.40
2 101 - 250Kms 33 13.20
3 251 - 500 Kms 24 9.60
4 501-1000Kms 130 52.00
5 > 1000 Kms 57 22.80
250 100.00
From the above table it is inferred that the 52.0% of the respondents are covering around 501-
1000 Kilometers in a month, 22.80% of the respondents are covering around 1000 Kilometers in a month
and 13.20% of the respondents are covering around 101-250 Kilometers in a month.
TABLE 4.1.20 MAINTENANCE OF THE VEHICLE
Sl. No Maintenance No. of Respondents Percentage
1 Periodical 46 18.40
2 Monthly Once 33 13.20
3 Once in 3 Months 115 46.00
4 Once in 6 Months 49 19.60
5 Only after break down 7 2.80
250 100.00
From the above table it is inferred that the 46.0% of the respondents are servicing their vehicle
once in 3 Months, 20% of the respondent are servicing once in 6 months and 18% of the respondents are
servicing periodical servicing.
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TABLE 4.1.21 PLACE OF VEHICLE SERVICING
Sl. No Servicing No. of Respondents Percentage
1 Authorized Dealers 144 57.60
2 Sub Dealers 50 20.00
3 Others 56 22.40
250 100.00
From the above table, it is inferred that the 57.60% of the respondents are servicing their vehicle
at the Authorized Dealers Service Centre, 22.40% of the respondents are servicing their vehicle with
Other Local Service Centre and remaining 20% of the respondents are servicing their vehicle at the Sub
Dealers Service Centre.
TABLE 4.1.22 OPINION ABOUT OVER - ALL SERVICES
Sl. No Opinion About
Service No. of Respondents Percentage
1 Excellent 3 1.20
2 Very Good 44 17.60
3 Good 184 73.60
4 Average 15 6.00
5 Poor 4 1.60
250 100.00
From the above table it is inferred that the 73.60% of the respondents are having Good Opinion
about overall service, 17.60% of the respondents are having Very Good Opinion about overall service and
6.0% of the respondents are having Average Opinion about Overall service.
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TABLE 4.1.23 OPINION ABOUT THE COST OF VEHICLE
Sl. No Opinion About Cost No. of Respondents Percentage
1 Cheaper 13 5.20
2 Reasonable 121 48.40
3 Costlier 116 46.40
250 100.00
From the above table, it is inferred that the 48.40% of the respondents said that cost of the vehicle
is reasonable, 46.40% of the respondents said that it is Costlier, and remaining 5.20% of the respondents
said that it is cheaper.
TABLE 4.1.24 OPINION ABOUT THE VALUE OF VEHICLE
Sl. No Opinion About
Value No. of Respondents Percentage
1 Good Value 159 63.60
2 No Idea 67 26.80
3 Low Value 24 9.60
250 100.00
From the above table it is inferred that the 63.60% of the respondents are having good opinion
about the value of vehicle, 26.80% of the respondents are having No Idea about the value of vehicle.
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TABLE 4.2.1 WEIGHTED AVERAGE FOR PREFERENCE OF VEHICLE
Sl. No Preference Weighted
Average Rank
1 Brand name 3.89 II
2 Look 5.98 V
3 Mileage 3.81 I
4 Speed 4.45 IV
5 Maintenance 4.00 III
6 After Sales service 6.40 VIII
7 Price 6.39 VII
8 New model 7.03 IX
9 Value 6.17 VI
10 Offers & schemes 7.18 X
From the above table it is inferred that most of the respondents are preferring bajaj bike for its
mileage with the score of 3.81 and it is followed by Brand name, Maintenance, Speed, Look, Value,
Price, After Sales Service, Model, and offers and schemes.
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CHART 4.2.1
WEIGHTED AVERAGE FOR PREFERENCE IN VEHICLE BUYING
PREFERENCCE OF BUYING TWO WHEELERS
Brand name
7%
Look
11%
Mileage
7%
Speed
8%
Maintenance
7%
Sales ser
12%
Price
12%
New model
12%
Value
11%
Offers&sch
13%
4.3 CHI - SQUARE METHOD
TABLE 4.3.1 LEVEL OF INCOME AND OCCUPATION
Agriculture Business
Govt.
Emp.
Private
Emp. Student TOTAL
Below Rs.5000 0 8 0 1 1 10
Rs.5001-10000 1 6 0 2 6 15
Rs.10001-15000 19 30 4 19 15 87
Rs.15001-20000 1 21 1 6 4 33
Above Rs.20000 14 35 10 30 16 105
TOTAL 35 100 15 58 42 250
Null Hypothesis (H0) : There is no significant relationship between Income
Occupation Income
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and Occupation.
Alternate Hypothesis (H1) : There is significant relationship between Income and
Occupation.
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (5-1) (5-1)
= 16
2
= E
EO2
Calculated value 2
= 32.33
Table value = 26.296
CONCLUSION
Since the calculated value is greater than Table Value, we reject Null Hypothesis and there is
significant difference between income and Occupation.
TABLE 4.3.2 LEVEL OF INCOME AND TWO WHEELER PURCHASED
Pulsar
150 CT 100 Discover
Pulsar
220 Avenger Platina Boxer Total
Below Rs.5000 3 2 3 0 0 2 0 10
Rs.5001-10000 7 1 6 0 0 0 1 15
Rs.10001-15000 33 5 40 1 1 6 1 87
Rs.15001-20000 11 0 15 2 0 4 1 33
Above Rs.20000 41 5 36 2 2 17 2 105
TOTAL 95 13 100 5 3 29 5 250
Null Hypothesis (H0) : There is no significant relationship between Income and Two Wheeler purchased.
Brand Income
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Alternate Hypothesis (H1): There is significant relationship between Income and Two
Wheeler Purchased.
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (5-1) (7-1)
= 24
2
= E
EO2
Calculated value 2
= 16.06
Table value = 36.175
CONCLUSION
Since the calculated value is less than Table Value, we accept Null Hypothesis and there is no
significant difference between income and Two Wheelers Purchased.
TABLE 4.3.3 OCCUPATION AND TWO WHEELER PURCHASED
Pulsar
150 CT 100 Discover
Pulsar
220 Avenger Platina Boxer Total
Agri 15 1 13 1 1 4 0 35
Business Man 40 5 40 2 1 11 1 100
Govt. 4 1 6 0 0 4 0 15
Private 20 3 23 1 1 7 3 58
Students 16 3 18 1 0 3 1 42
TOTAL 95 13 100 5 3 29 5 250
Occupation Brand
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Null Hypothesis (H0) : There is no significant difference between Occupation and
Two Wheeler purchased.
Alternate Hypothesis (H1) : There is significant difference between Occupation and
Two Wheeler Purchased.
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (5-1) (7-1)
= 24
2
= E
EO2
Calculated value 2
= 9.91
Table value = 36.175
CONCLUSION
Since the calculated value is less than Table Value, we accept Null Hypothesis and there is no
significant difference between Occupation and Two Wheeler Purchased.
TABLE 4.3.4 REASON FOR CHANGING THE VEHICLE AND TWO WHEELER PURCHASED
Pulsar
150 CT 100 Discover
Pulsar
220 Avenger Platina Boxer Total
MILEAGE 29 3 18 0 0 4 0 54
OLD VEHICLE 11 1 14 0 1 3 0 30
DISSATISFACTION 7 4 5 1 0 3 1 21
TOTAL 47 8 37 1 1 10 1 105
Brand Reason
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Null Hypothesis (H0) : There is no significant difference between
Reason and Two Wheeler purchased.
Alternate Hypothesis (H1) : There is significant difference between
Reason and Two Wheeler Purchased.
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (3-1) (7-1)
= 12
2
= E
EO2
Calculated value 2
= 19.85
Table value = 21.026
CONCLUSION
Since the calculated value is less than Table Value, we accept Null Hypothesis and there is no
significant difference between Reason and Two Wheeler Purchased.
TABLE 4.3.5 USAGE OF THE VEHICLE AND TWO WHEELER PURCHASED
Pulsar
150 CT 100 Discover
Pulsar
220 Avenger Platina Boxer Total
Very Often 12 1 8 3 0 1 0 25
Daily 78 10 85 2 3 26 5 209
Weekly Once 3 0 1 0 0 1 0 5
Once in Two Days 1 2 3 0 0 0 0 6
Based on Needs 1 0 3 0 0 1 0 5
TOTAL 95 13 100 5 3 29 5 250
Brand
Usage of Vehicle
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Null Hypothesis (H0) : There is no significant difference between
Usage of vehicle and Two Wheeler purchased.
Alternate Hypothesis (H1) : There is significant difference between
Usage of vehicle and Two Wheeler Purchased.
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (5-1) (7-1)
= 24
2
= E
EO2
Calculated value 2
= 16.36
Table value = 36.175
CONCLUSION
Since the calculated value is less than Table Value, we accept Null Hypothesis and there is no
significant difference between usage of vehicle and Two Wheeler Purchased.
TABLE 4.3.6 PROMISED MILEAGE AND ACTUAL MILEAGE OF THE VEHICLE
Below
50Ksm/Lit
51-
60Kms/Lit
61-
70Kms/Lit
71-
80kms/lit
Above
80kms/lit Total
51-60Kms/Lit 11 11 1 0 0 23
61-70Kms/Lit 8 34 25 1 0 68
71-80kms/lit 0 2 66 13 0 81
Above 80kms/lit 0 0 18 50 4 72
Below 50Ksm/Lit 6 0 0 0 0 6
TOTAL 25 47 110 64 4 250
Promised Mileage
Actual Mileage
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Null Hypothesis (H0) : There is no significant difference between Promise Mileage and Actual Mileage
Alternate Hypothesis (H1): There is significant difference between Promise Mileage and Actual Mileage
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (5-1) (5-1)
= 16
2
= E
EO2
Calculated value 2
= 301.86
Table value = 26.296
CONCLUSION
Since the calculated value is greater than Table Value, we reject Null Hypothesis and there is
significant difference between Promised Mileage and Actual Mileage of the Vehicle.
TABLE 4.3.7 HOW LONG THE VEHICLE IS USED AND SERVICE LEVEL
OF THE VEHICLE
Authorized
Dealers Sub Dealers Others Total
1-2years 34 16 22 72
1-3 Months 15 7 3 25
7months-1years 12 6 2 20
more than 2years 74 25 22 121
more than 3years 9 2 1 12
TOTAL 144 56 50 250
Servicing Point
Usage of Vehicle
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Null Hypothesis (H0) : There is no significant difference between
How long the vehicle is used and service level of the vehicle
Alternate Hypothesis (H1) : There is significant difference between
How long the vehicle is used and service level of the vehicle
Level of Significance : 5%
Degrees of Freedom : (r-1) (c-1)
= (5-1) (3-1)
= 8
2
= E
EO2
Calculated value 2
= 10.32
Table value = 15.507
CONCLUSION
Since the calculated value is greater than Table Value, we reject Null Hypothesis and there is
significant difference between How long the vehicle is used and service level of the vehicle.
5. FINDINGS
The majority of the respondents using Bajaj motorbikes are in the age group of
above 45 years (33%)
The occupation of the respondents who are using Bajaj motorbikes are business people. (40%)
Most of the respondents who are using Bajaj motorbikes are having the income level of Rs 5,001
– 10,000 p/m.
From the study it is cleare that 58% of the respondents have said that this is their first vehicle.
From the study it is inferred that 52% of the respondents have said that they changed their vehicle
because of mileage.
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From the study it is cleare that 39% of the respondents have considered Bajaj only before buying
the vehicle.
From the study it is noted that 90% of the respondents did not visit any other dealer before buying
the vehicle.
Most of the respondents having the opinion of Good about overall performance of the vehicle.
(62%)
Most of the respondents decision is self made in relation to choosing their vehicle. (49%)
Regarding the satisfaction of mileage 83% of the respondents have said that they are satisfied.
84% of the respondents who are using their vehicle daily.
From the study it is clear that 46% of the respondents are servicing their vehicle once in 3
months.
Though most of the respondents are servicing their vehicle at the Authorized dealer‟s service
centre. (58%)
From the study it is inferred that 74% of the respondents are having the opinion of Good about
overall service provided by the dealer.
Regarding opinion about the value of the vehicle when compare to its cost 64% of the
respondents have said that Good value.
From the study it is inferred that 49% of the respondents have shifted their brand from TVS to
BAJAJ.
Most of the respondents are preferring Bajaj bike for its mileage with the score of 3.81 and it is
followed by Brand name, Maintenance, Speed, Look, Value, Price, After Sales Service, Model,
and offers and schemes.
There is significant difference between income and Occupation.
There is no significant difference between Occupation and Two Wheeler Purchased.
There is no significant difference between Reason and Two Wheeler Purchased.
There is no significant difference between usage of vehicle and Two Wheeler Purchased.
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There is significant difference between Promised Mileage and Actual Mileage of the Vehicle.
There is significant difference between How long the vehicle is used and service level of the
vehicle.
6. SUGGESTIONS
Dealer has to improve the customer satisfaction by improving the parameters like customer
reference, maintenance tips provided, visual merchandising.
Dealer has to get periodical feedback from all its customers and it can track them constantly to
know their queries.
Since the brand awareness is medium among the respondents, the dealer has to concentrate on
creating awareness among the customers by way of more advertisements on local TV channel and
local news paper.
Most of the respondents preferred the product features like seating comfort, look and style etc are
lying in between good and average. So the company maintains all the product features to stay
ahead in the market for that they have to study the customer expectations.
The company has to decrease the number of customers who are not leaving their vehicle for
servicing at the dealer‟s point. For this they can introduce loyalty programs for customers to
increase the service inflow.
7. CONCLUSION
Customer satisfaction is very important as satisfied customer would add value to the brand and spread a
positive word of mouth and help in making good reputation of brand. Satisfied customers would be able
to make long term profitable relationship with brand. There is significant effect of price fairness on
customer satisfaction. If tariff rates charged are fair and affordable to customers then they use telecom
services of that brand for longer period of time which consistently satisfies their all communication needs.
Similarly if customers are provided with good services such as courteous behavior of sales person or
complaint officer then they feel emotional attachment with their brand of cellular company.
Similarly if their complaints are solved promptly and commitments are fulfilled then it would provide a
sense of belongingness to the brand. It can be concluded that if any firm wants to be successful over
longer period of time then it has to make its customers satisfied through charging fair tariffs and
memorable customer services so that they can reign over the market.
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8.BIBLIOGRAPHY
Books
Jyotsna Sethi & Nishwan Bhatia, Elements of Banking and Insurance, PHI Learning 2011
KOTHARI, C.R., "Research Methodology Methods and Techniques", Wishwa Prakasan.
PILLAI R.S.N AND V. BAGAVATHI, "Statistics", Sultan Chand & Company
Limited, 7361, Ram Nagar, New Delhi.
Kotler. P, “Marketing Management”, 11th Edition, Pearson Education, New Delhi, 2002.
Websites
www.bajai.com
www.google.com
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