To analyze the perception and attitude of customer towards Bajaj and hero Motocorp bikes. To determine the customer satisfaction regarding bikes.

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Presentation on Capstone Project -A Comparative study
of Bajaj Auto and Hero MotoCorp bikes
P re s e n t e d B y : - R a h u l K u m a r G u p t a
R o l l N o . : - P G D M 1 8 2 0 1 0 7 2 7
B a t c h : - M 1
F a c u l t y G u i d e : - D r. D e e p a N a i r
INSTITUTE FOR TECHNOLOGY & MANAGEMENT

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Introduction Literature
Review
Objective
Research
Methodology
Data Analysis
and
Interpretation
Findings
ConclusionsLimitationsRecommendations

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Introduction
 M y re s e a rc h i s i n A u t o m o b i l e s e c t o r a n d t o f i n d a b o u t t h e
p e rc e p t i o n a n d a t t i t u d e s o f t h e p e o p l e re ga rd i n g t h e b i ke .
 I n d i a h a s t h e l a rg e s t n u m b e r o f v e h i c l e s i n t h e w o r l d w i t h 4 1 . 6
m i l l i o n v e h i c l e s w h i c h i s a m i x o f 3 0 p e rc e n t a u t o m o b i l e s a n d 7 0
p e rc e n t t w o w h e e l e rs .
 T h e I n d i a n a u t o m o t i v e i n d u s t r y c o n t r i b u t e s 7 . 1 p e rc e n t t o t h e
G D P.
 T h e re a s o n s fo r t h e p o o r p e r fo r m a n c e o f t h e i n d u s t r y i n c l u d e s
c o n s e c u t i v e y e a rs o f a w e a k m o n s o o n , w h i c h re s u l t e d i n l o w e r
r u ra l i n c o m e l e v e l s , a n d t h e N o v e m b e r 2 0 1 6 d e m o n e t i z a t i o n w h i c h
c r i p p l e d t h e c a s h e c o n o my a n d t h e i n t ro d u c t i o n o f t h e g o o d s a n d
s e r v i c e s t a x ( G S T ) i n J u l y 2 0 1 7 a ga i n s l o w d o w n t h e s a l e s .
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Top Players in 2-wheeler industry
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 Bajaj Auto
 TVS Motors
 Yamaha India Motors
 Honda 2-wheelers
 Royal Enfield
Suzuki Motorcycles India
Hero Motocorp
Aprilia India
Benelli India
Ktm India
Jawa India
Two wheelers sales in India

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Market share of 2-wheelers in India
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Market share in 2019Market share in 2018

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 I h a v e d o n e l i t e ra t u re re v i e w f ro m d i f fe re n t p a p e rs o f
d i f fe re n t a u t h o rs t h ro u g h o u t t h e w o r l d , o n t h i s a u t o m o b i l e
i n d u s t r y a n d h e re a re fe w o f t h e m .
 A c c o rd i n g t o A n u j K u m a r K a n o j i a , t h a t u r b a n a n d r u ra l re g i o n s
h a v e d i f fe re n t a t t i t u d e w h e n i t c o m e s t o s e l e c t i n g t h e t w o
w h e e l e rs b i ke m o d e l .
 R a c h e l D a r d i s , H o ra c i o S o b e r o n - F e r r e r h a s fo u n d i n t h e s t u d y
t h a t t h e c o n s u m e r d e c i s i o n m a k i n g i s m u l t i n a t i o n a l , t h a t i s
c o n s u m e r c h o i c e s a re n o t b a s e o n a s i n g l e p ro d u c t a t t r i b u t e s ,
a n d i n s t e a d c o n s u m e rs v i e w p ro d u c t s a s b u n d l e s o f
a t t r i b u t e s . A n e d u c a t e d c u s t o m e r m i g h t b e m o re i n fo r m e d
a b o u t t h e p e r fo r m a n c e p ro p e r t i e s o f J a p a n e s e c o m p a ny a n d
a t t ra c t e d b y re l i a b i l i t y o f t h e s e c o m p a ny.
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Literature Review

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 D r. N .C h a n d ra s e k a ra n fo u n d i n h i s s t u d y c u s t o m e rs p ay
d i f fe re n t a tte n t i o n t o v a r i o u s m a r ke t i n g v a r i a b l e s s u c h a s
p r i c e a n d p ro d u c t fe a t u re s . T h i s s t u d y a l s o fo u n d a b o u t t h e
i n f l u e n c e o f c o n s u m e r t o p re fe r a p a r t i c u l a r b ra n d a n d t h e
p ro b l e m s fa c e d b y t h e m u s i n g s u c h b ra n d s .
 A c c o rd i n g t o I C R A , H e ro M o t o c o r p i s a d d i n g 5 0 0 - 6 0 0
c u s t o m e r t o u c h p o i n t s e v e r y Ye a r. To s t re n g t h e n i t s p re s e n c e
i n t h e r u ra l m a r ke t s , H e ro M o t o c o r p h a d l a u n c h e d a
d e d i c a t e d r u ra l v e r t i c a l , w h i c h t o o k s e v e ra l n e w m a r ke t i n g
i n i t i a t i v e s i n c l u d i n g l a u n c h o f a n a t i o n a l - l e v e l p ro g ra m t o
d i re c t s a l e s e f fo r t s i n te r r i t o r i e s w i t h a p o p u l a t i o n o f 5 , 0 0 0
a n d a b o v e .
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Contd..

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Objective of the Research
 To a n a l y ze t h e p e rc e p t i o n a n d a tt i t u d e o f c u s t o m e r
t o w a rd s B a j a j a n d h e ro M o t o c o r p b i ke s .
 To d e t e r m i n e t h e c u s t o m e r s a t i s fa c t i o n re ga rd i n g
b i ke s .
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 S e l f - s t r u c t u re d q u e s t i o n n a i re a n d i n t e r v i e w w a s u s e d t o f i n d t h e
p e rc e p t i o n a n d a tt i t u d e s t o wa rd s b i ke o f H e ro M o t o c o r p a n d
B a j a j B i ke s .
 S a m p l e s i ze : A t o t a l o f 1 1 3 re s p o n d e n t s .
 Re s e a rc h D e s i g n : D e s c r i p t i v e Re s e a rc h D e s i g n .
 D a t a S o u r c e : P r i m a r y D a t a .
 M e t h o d o f D a t a C o l l e c t i o n : U r b a n ( N a v i M u m b a i ) a n d R u ra l
a re a s ( M a d h u b a n i )
 A n a l y s i s To o l s : S P S S , M . S E xc e l
 D a t a A n a l y s i s Te c h n i q u e :
 Chi-square Phi and Cramer’s V
 Cluster Analysis 9
Research Methodology
 Multiple Regression

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 H e re w e h a v e d o n e t h e A s s o c i a t i o n o f A g e w i t h e n g i n e c a p a c i t y o f b i ke .
 H e re f ro m t h e C h i S q u a re t e s t s , s i g n i f i c a n c e v a l u e i s 0 . 0 0 4 , w h i c h i s l e s s t h a n 0 . 0 5 ,
s o H o r e j e c t e d , H 1 a c c e p t e d , s o t h e r e i s a n a s s o c i a t i o n w i t h A g e w i t h e n g i n e
c a p a c i t y o f b i ke .
 H e re t h e c ra m e r ’s V v a l u e i s . 5 4 6 a n d c o m e s i n ra n g e 0 . 4 - 0 . 6 w h i c h c o m e s i n
m o d e ra t e ra n g e , s o w e c a n s ay t h a t t h e re i s m o d e ra t e a s s o c i a t i o n b e t w e e n a g e a n d
w i t h e n g i n e c a p a c i t y o f b i ke t h e y h a v e . 10
Data Analysis and Interpretation
Chi-Square Tests
Value df Asymp. Sig.
(2-sided)
Pearson Chi-Square 35.252a 16 .004
Likelihood Ratio 37.528 16 .002
Linear-by-Linear
Association .117 1 .732
N of Valid Cases 118
a. 17 cells (68.0%) have expected count less than 5.
The minimum expected count is .10.
Symmetric Measures
Value Approx.
Sig.
Nominal
by
Nominal
Phi 1.093 .000
Crame
r's V
.546 .000
N of Valid Cases 118
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null
hypothesis.
 Chi Square test and Phi and Cramer’s V

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 C l u s t e r 1 g i v e s
s t ro n g i m p o r t a n c e
t o b i ke g i v i n g a l o t
o f j o y a n d h a p p i n e s s
t o re s p o n d e n t .
 C l u s t e r 2 g i v e s
s t ro n g i m p o r t a n c e
t o b i ke p ro v i d i n g
c o n v e n i e n c e i n u s e
a n d re s p o n d e n t
b e i n g s a t i s f i e d w i t h
t h e b i ke .
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Data Analysis and Interpretation
 Cluster Analysis

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 I n t h i s c a s e , t h e v a l u e o f A d j u s t e d R 2 i s . 2 0 6 w h i c h
m e a n s o n l y 2 0 . 6 % o f t h e v a r i a t i o n i n s a t i s fa c t i o n o f
h a v i n g b i ke c a n b e e x p l a i n e d b y t h e fa c t o r l i ke
t e c h n i c a l k n o w l e d g e , d e s i g n a n d l o o k o f t h e b i ke ,
c o n v e n i e n c e i n u s a g e , s t a t u s i n s o c i e t y, p e rs o n a l i t y
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Data Analysis and Interpretation
 Multiple Regression
Model Summary
Model R R Square Adjusted R Square Std. Error of the
Estimate
1 .490a .240 .206 .75267
a. Predictors: (Constant), I have full technical knowledge of bike before buying the , While
purchasing the bike I see the design and look of the bike mostly., I ride the bike because of
convenience in usage, My bike is an indication of my status in society, I buy the bike
because it suits my personality
20.60%
79%

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 From the table the significance value independent variables like I
ride the bike because of convenience in usage and My bike is an
indication of my status in society is greater than 0.05 which
means we have to accept Ho and reject H1 which means there is
no significant relation between satisfaction and indication of my
status and convenience of use.
 Again from the table the significance value of independent
variables like technical knowledge of bike, personality, design and
look of the bike which is smaller than 0.05 which mean that we
have to accept H1 and reject H0 and Hence we can say that there
significant relation between satisfaction and technical knowledge ,
personality, design and look of bike.
Coefficientsa
Model Unstandardized
Coefficients
Standard
ized
Coefficie
nts
t Sig.
B Std. Error Beta
(Constant) 1.669 .442 3.771 .000
While purchasing the bike I
see the design and look of the
bike mostly.
.204 .074 .244 2.758 .007
My bike is an indication of my
status in society
.046 .076 .058 .606 .546
I buy the bike because it suits
my personality
.145 .069 .201 2.092 .039
I ride the bike because of
convenience in usage
.120 .076 .136 1.572 .119
I have full technical knowledge
of bike before buying the
.153 .074 .171 2.064 .041
a. Dependent Variable: I am highly satisfied with this bike

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 F ro m my re s e a rc h w e c a n
s ay t h a t 5 4 . 9 % o f o u r
re s p o n d e n t l i ke H e ro
M o t o c o r p b i ke s w h i c h
l e a v e s o n l y 4 5 . 1 %
re s p o n d e n t l i ke s B a j a j A u t o
B i ke s .
 A s a re s u l t o f my re s e a rc h
w e c a n s ay t h a t m o s t o f o u r
re s p o n d e n t fe e l s t h a t b i ke
m ay o r m ay n o t b i ke
i n d i c a t e s my s t a t u s i n
s o c i e t y i . e 4 2 % re s p o n d e n t ,
a n d w h e re a s 2 5 . 9 % o f
re s p o n d e n t fe e l s i t s h o w
a n d re f l e c t t h e s t a t u s i n t h e
s o c i e t y. 14
Findings
45.10%,
45%54.90%,
55%
which company do you like
the most
BAJAJ AUTO
HERO MOTOCORP

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 A s a re s u l t f ro m my re s e a rc h w e c a n s ay
t h a t m o s t p re fe r re d e n g i n e c a p a c i t y c h o i c e
o f o u r re s p o n d e n t s i s 1 5 0 c c t o 2 0 0 c c b i ke s
b e c a u s e t h a t b i ke g i v e s m i l e a g e a s w e l l a s
p o w e r i n b i ke s .
 A s a re s u l t o f my re s e a rc h w e c a n s ay
t h a t 6 1 . 1 % o f o u r re s p o n d e n t s fe e l s t h a t
H e ro M o t o c o r p b i ke h a v e l e s s m a i n t e n a n c e
c o m p a re d t o B a j a j B i ke s .
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Findings

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 F ro m t h e s t u d y I fo u n d t h a t a g e i s d e c i d i n g fa c t o r i n
p u rc h a s i n g t h e b i ke o f d i f fe re n t p o w e r o f b i ke s i . e e n g i n e
c a p a c i t y o f b i ke , 2 3 - 2 5 a g e g ro u p o f re s p o n d e n t s l i ke s b i ke o f
e n g i n e c a p a c i t y b e t w e e n 2 0 0 c c - 2 5 0 c c .
 F ro m t h e s t u d y I a l s o fo u n d t h a t m o s t o f b i ke o w n e rs a re
s a t i s f i e d w i t h t h e i r c u r re n t b i ke i . e 5 4 % a n d w i l l i n g t o re fe r
t h e i r b i ke ’s c o m p a ny t o t h e i r fa m i l y a n d f r i e n d s fo r p u rc h a s e .
 F ro m t h e s t u d y I c a n s ay t h a t t h e re s i g n i f i c a n t re l a t i o n s h i p
b e t w e e n s a t i s fa c t i o n o f h a v i n g b i ke a n d h a v i n g t e c h n i c a l
k n o w l e d g e a b o u t t h e b i ke , p e rs o n a l i t y o f t h e re s p o n d e n t ,
d e s i g n a n d l o o k o f b i ke .
 A s p e r my re s e a rc h , W h i l e b u y i n g a m o t o rc y c l e m o s t o f o u r
re s p o n d e n t s p ay m o re v a l u e t o fa c t o rs l i ke m a i n t e n a n c e c o s t ,
f u e l e f f i c i e n c y, d u ra b i l i t y, d u ra b i l i t y a n d l o o k a n d d e s i g n o f
b i ke .
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Conclusions

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Limitations
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 M o s t o f o u r re s p o n d e n t t h i n k s t h a t b i ke s o f H e ro m o t o c o r p
h a s l e s s m a i n t e n a n c e t h a n B a j a j A u t o B i ke s , s o b a j a j A u t o
h a s t o i n c re a s e o n t h e q u a l i t y o f p a r t s t h a t w i l l re d u c e t h e
m a i n te n a n c e .
 H e ro M o t o c o r p s h o u l d i n t ro d u c e s o m e m o re m o d e l s h a v i n g
H i g h e n g i n e p o w e r b i ke s .
 C o m p a ny s h o u l d i n t ro d u c e s o m e g o o d f i n a n c e / d i s c o u n t
s c h e m e s fo r s t u d e n t s .
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Recommendations

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 “ C o n s u m e r B e h a v i o r ”, L e o n G . S c h i f f m a n J o s e p h W i s e n b l i t a n d
S . ra m e s h K u m a r
 G .C . B e r i - M a r ke t i n g Re s e a rc h
 A a ke r M y e rs “A d v e r t i s i n g M a n a g e m e n t ” p re n t i c e H a l l o f I n d i a p v t .
Ltd , N e w D e l h i .
 Ko t h a r i . C . R , ( 1 9 9 8 ) .” Re s e a rc h M e t h o d o l o g y ”, H . S . Po p l a i fo r
W i s h w a P ra ka s h a n , N e w D e l h i .
 P h i l i p Ko t l e r. , G re y A m s t ro n g . , ( 1 9 9 9 ) “ P r i n c i p l e s o f M a r ke t i n g ”,
A s h o ke K .G h o s e . , N e w D e l h i .
 P h i l i p Ko t l e r. , ( 1 9 9 9 ) “ M a r ke t i n g M a n a g e m e n t ” A s h o ke K .G h o s h . , N e w
D e l h i .
 R . S . N . P i l l a i & B a ga v a t h i . , ( 1 9 9 9 ) “ M a r ke t i n g M a n a g e m e n t ” S . c h a n d &
C o . Lt d ,
 R a j a n N a i r. , ( 1 9 9 7 ) “ M a r ke t i n g ” S u l t a n c h a n d s & s o n s , N e w D e l h i ,
 S . A . S h e r l e ka r,” M o d e r n M a r ke t i n g ” H i m a l ay a p u b l i s h i n g H o u s e ,
B o m b ay. 19
References

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2020