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    Marketing Research 

    Project Report 

     A study on the Market share of Yamaha motorbikes and identifying measures to

    increase the share in the Indian Market.

    Under the guidance of  

    Dr. Shelendra Tyagi

    LBSIM, New Delhi

    Submitted By: 

    Group 7: 

    Manish Sharma (67)

    Sidhant Mendiratta (77)

    Sachit Malik (89)

    Garima Kapoor (100)

    Manish Sethi (113)

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    DECLARATION 

    We, the students of LBSIM (Group-7, Sec B- PGDM 2015-17) hereby declarethat this project report titled “A study on the Market share of Yamaha motorbikes

    and identifying measures to increase the share in the Indian Market.”, in

    Trimester-III of PGDM at Lal Bahadur Shastri Institute Of Management, New

    Delhi,  is an authentic record of our work which has been carried out under the

    guidance of Dr. Shelendra Tyagi 

    Date: March 04, 2016

    Place: Dwarka, New Delhi.

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    ACKNOWLEDGEMENT 

    Through this acknowledgment, we express our sincere gratitude to all those people whohave been associated with this assignment and have helped us with it and made it a

    worthwhile experience.

    First and foremost, we would like to thank to our supervisor of this project, Dr.

    Shelendra Tyagi  for his valuable guidance and advice. He inspired us greatly to work

    on this project. His willingness to motivate us contributed tremendously to our project.

     An honourable mention goes to our friends for their understandings and supports on us

    throughout the completion of this project.

    We also extend our thanks to the various people who have shared their opinions and

    experiences through which we received the required information crucial for our report.

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    TABLE OF CONTENTS 

    CHAPTER

    No. 

    TITLE 

    1 Industry Background

    2 Literature Review

    3 Research Design Methodology

    5 Data Analysis

    6 Findings and Recommendations

    7 Limitations

    8 Annexure

    9 References

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    Automobile Industry Background 

    Indian Two-Wheeler Industry is the largest in the world as far as the volume of

    production and sales are concerned. It had an annual production of 23.37 million

    vehicles in FY 2014-15, following a growth of 8.68% over the last year.India is the

    biggest two-wheeler market on this planet ,registering an overall growth rate of 9.5

    percent between 2006 and 2014. The Two Wheelers segment, with 81 per cent market

    share, is the leader of the Indian Automobile market, owing to a growing middle class

    and a young population. Moreover, the growing interest of companies in exploring the

    rural markets further aided the growth of the sector.The growth in Indian Motorcycle

    Industry owed the most to a steep upsurge witnessed in the two-wheeler segment in

    2014. The volume growth recorded in the 2014-15 fiscal year stood at a commendable

    14.8 percent on a year-on-year basis. The 'Make in India' campaign of the Government

    of India is also going to attract more foreign investment into Indian Two-Wheeler

    Industry creating further growth opportunities in the coming years.

    Two-Wheeler Market in India 

    Indian Two-Wheeler Market is noticing a continuous upsurge in demand and thus

    resulting in growing production and sales volume. This owes a lot to the launching of

    new attractive models at affordable prices, design innovations made from youth's’

    perspective and latest technology utilised in manufacturing of vehicles. The sale of two-

    wheeler products has increased substantially. The sales volumes in the two-wheeler

    sector shot up from 15 percent to 24 percent between 2008-09 and 2013-14.

     A considerable expansion was seen in the sales volume of the scooter segment during

    2014-15 as far as the two-wheelers were concerned. The domestic motorcycle sales

    volume moved up to 10 percent, whereas the scooter segment recorded a growth of

    30.7 percent in sales volume. In the past 2-3 years, around a dozen new scooter brands

    have been introduced in India. But the motorcycle segment lags behind in this regard.

    This is due to the fact that the recently launched gearless scooters cater to the needs of

    both men and women, while motorbikes are a segment preferred by men only.

    The growth momentum is also propelled by the fact that the two-wheeler manufacturers

    in India have understood the market’s needs and have been able to deliver as

    expected. At the end of 2014, the global business involving two-wheeler designing,

    manufacturing, engineering and selling was at an average of US$ 3.5 billion per

    manufacturer. However, India's Hero MotoCorp - the world's largest two-wheeler

    manufacturer and seller clocked an average of US$ 15 billion on the same lines.

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    Literature Review 

    Case Background Information 

    Yamaha made its initial foray into India in 1985. It, subsequently entered into a 50:50

     joint venture with the Escorts group in 1996. In August 2001, Yamaha acquired its

    remaining stake and became a 100% subsidiary of Yamaha Motor Co., Ltd, Japan

    (YMC). In India, Yamaha has two State-of-the-art Plants at Surajpur (Uttar Pradesh)

    and Faridabad (Haryana). The infrastructure at both the plants supports production of

    motorcycles and parts for the domestic as well as overseas markets.

    Yamaha which once ruled the mind of Indian youth is now in dire straits. The company

    which is the second largest motorcycle manufacturer in the world is having a market

    share of 4-5% in the booming Indian two wheeler market which is growing at a rate of12-15%.

    Yamaha is a performance bike manufacturer which recently celebrated its golden

     jubilee of its existence. In India Yamaha was present in a joint venture with Escorts

    which brought out the blockbuster  Yamaha RX 100  and the cult  Yamaha RD 350.

    Yamaha and Hero Honda had during the late 80's beat the hell out of scooter

    manufacturers, but Yamaha now has lost its edge. Yamaha broke the partnership with

    Escorts and started its India operations as a 100% subsidiary of Yamaha Japan from

    2001 onwards

    Yamaha was not able to sustain the momentum it had generated during 1990's with

    RX100. RX100 was a bike that had style and substance. The product was powerful,

    gave no much problems and was embraced by the youth. But after the tight

    environmental regulations introduced in 90's , RX100 had to be shelved. It was the

    beginning of decline of Yamaha.

    Yamaha was not able to bring out a blockbuster product in the recent past. There had

    been a lot of product launches from Yamaha but nothing clicked. The reason being that

    the company was focused on Utility segment ( true that money is there only in that

    segment). Yamaha did not try to look at the changing profile of the Indian consumer.

    Yamaha also thought that it had the same premium image in the mind of the customer .

    It failed to realise that the brand equity has eroded because of failed product launches.

    It had no product to showcase its superiority as a bike manufacturer. While Bajaj

    demonstrated its arrival in to the bike segment with Eliminator and Pulsar, Yamaha still

    tried its luck in the executive segment which was dominated by Splendor from Hero

    Honda.

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    In order to break Splendor’s  performance it had to build a brand in the premium

    segment and using that image, try its luck in the mid segment. Bajaj launched Eliminator

    to show the technical superiority. However, Yamaha failed to do that.

    Rural Market Scenario 

    Yamaha was never a significant player in the rural market, despite of being second

    largest bike manufacturer in the world. Rural market, despite of having around 50%

    share in the overall sales of motorcycle industry, Yamaha never targeted it, which is

    why they always lacked a personal touch to the Indian market. On the contrary, Hero

    fully exploited this opportunity by understanding the expectations and demands of the

    Indian consumers and is having the maximum market share in this segment with

    products like Splendor, Passion, HF Deluxe, HF Dawn.

    Product Launches 

    Yamaha tried to shock the market with a low priced Cruiser Enticer  at an unbelievable

    price of 49000 but the product failed because the company wanted to play the volume

    game. Enticer could not sustain the huge initial it got because the market for cruiser was

    only emerging and the product did not live up to the expectation.

    Yamaha then launched Crux and Libero and Fazer   in the mid segment but could not

    set the market on fire. The company says that it is moving away from utility bikes to

    performance bikes. The launch of Fazer was towards this direction. The product had an

    unusual look hence failed to catch the imagination of Indian bike enthusiasts.

     After this, the company tried to re-enter the market through R15 by tapping the younggeneration by posing stiff competition to Hero Honda Karizma ZMR and other premium

    bikes under this segment but still it wasn’t able to gain the expected market share. 

    The figure shows the current market share scenario of all the major brands in the Indian

     Automobile Two Wheeler segment 

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    Management Decision Problem:

    How can Yamaha increase its market share?

    Marketing Research Objectives 

    1. To determine factors that influence two wheeler buying behaviour in Urban

    Population. 

    Since customers have chosen to opt for other two wheeler brands over Yamaha, a

    research on why the shift had happened would provide great insights on the mistakes

    Yamaha is committing. 

    2. To determine factors that influence two wheeler buying decision for Rural

    Population. 

    Since Yamaha has no product for the rural market, an analysis of whether a possible

    product launch for the rural population boost its current market share. 

    3. To study demographic attributes influencing purchasing pattern of the

    urban population. 

    4. To undertake competitive mapping of Yamaha to determine its positioning

    in the market vis-a-vis its competitors. 

    Despite considerable investments made on marketing and launch of new products, not

    many benefits have been reaped out of them. Therefore, a study to find out what lacks

    in the current marketing plan would help us create a more effective marketing plan for

    Yamaha. 

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    RESEARCH DESIGN & METHODOLOGY 

    A.  Research Methodology 

    - Exploratory Research: we would conduct unstructured pilot surveys at a few

    Yamaha stores to gauge the key variables. We would also analyse secondary data

    available by the Society of Indian Automobile Manufacturers, of which Yamaha is also a

    member, and statistics available from sources like India Auto Report, and a study of the

    reports publically available from research conducted by firms like KPMG. 

    - Pilot Surveys and Secondary research (Secondary Data Analysis) was carried

    out to know about the attributes which affects the buying behaviour.

    - Conclusive Research: Descriptive Research was done via questionnaires. Thiswould be different for Rural and Urban Population. 

    B.  Measurement and Scaling: 

    For scaling and measurement, we would be using the itemized scale along with paired

    comparison and rank-order in order to compare the characteristics of Yamaha two-

    wheelers with others in the same segment, Commuter and Bikes. We would be

    comparing different characteristics such as brand value, performance, style quotient,

    comfort, physical appearance, price etc. that influence customer ’s decisions before

    buying a bike. Itemized scaling - Likert scale would be most appropriate to be used in

    the questionnaire. 

    C.  Sampling Plan 

    Population Universe  : All the present and prospective customers of Bikes and

    Commuters, present customers would include MBA Students, individuals in nearby

    localities,

    Sampling Frame : All the people who would be visiting Yamaha, Honda, Mahindra and

    TVS to enquire about the Bikes and Commuters. 

    Sampling Element : People visiting Yamaha stores near Dwarka. 

    Sampling Unit : MBA Institute, Yamaha Store and Localities. 

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    We would be using non probability sampling method 

    Sample Size for Urban - 327

    Sample Size for Rural - 75

    S.D = 0.45, obtained using 20 responses from the Pilot Survey.

    Tolerable error = 0.05

    Z value at 95% Confidence interval = 1.96

    Sample Size calculated = 311

    Sampling Method: Quota sampling would be used wherein different quotas consist of

    students, working professionals, Lower income people, rural customers etc. From the

    quota, the sample elements would be selected on the basis of convenience.  

    D.  Data Collection Methods 

    - Secondary data through auto reports published by reliable research conducting firms. 

    - Primary data collected through surveys. 

    E.  Research Instruments 

    Questionnaires (through both printed and online methods) different for store employees,

    bike owners(rural) and non-bike owners (rural and urban). 

    F.  Data Analysis SPSS will be used to analyse the data collected.

    - To study the various factors that influence customer buying decisions when it comes

    to bikes, and to judge the ones that are most critical for urban and rural customers, we

    would be doing Factor Analysis. 

    - Discriminant analysis to be done for urban customers to study their expectations

    and how they differ according to the demographics of the customer.  

    - To study how Yamaha is currently positioned in the minds of the population as

    compared to its competitors, we would do multidimensional scaling. 

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    DATA ANALYSIS 

    ➢  Demographics

    1. Our study comprised of 327 respondents out of which 86% were male and therest were female.

    2. The age of the respondents, as shown in the table below, has been divided into 4

    categories with majority of the respondents belonging to the age group of 23-27.

    This distinction will help us to know about the target age segment for Yamaha.

    3. Under the survey conducted the majority chunk of students was, students

    followed by private sector employees with average salary being 14531.19 and

    average number of family members being 3.66.

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    ➢  Brands Owned and Price Distribution with Power

    The majority of the respondents owned a Yamaha bike (20%) followed by Bajaj and

    Honda whereas the popular brand Hero had a share of only 14%.

      Price Distribution with Power

    Majority of the respondents owned a bike above 60,000Rs price category with 180cc

    bikes being the most followed by 126 to 150cc, in 60,000Rs price category.

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      Purchasing a New Bike

    41 % of the respondents were satisfied with their bikes whereas only 2% of them

    disagreed, hence the existing users are not willing to switch to new bikes and hence

    55% people are not willing to buy new bikes.

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      Pride Association

     Around 68% of the respondents associate a sense of Pride in front of the society while

    driving a bike.

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    ➢  Variables influencing Buying Behaviour

     After analysing the responses, the attributes that have a significant effect on the buying

    behaviour came out to be power, engine capacity, brand followed by price of the bike.

     Attributes like Family needs, Ease of Maintenance and Type of lights are also quite

    significant.

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    SPSS ANALYSIS

    ➢  Multidimensional Scaling

    Eigenvalues 

    Functio

    Eigenval

    ue 

    % of

    Variance 

    Cumulativ

    e % 

    Canonical

    Correlation 

    1  .160a  70.4  70.4  .371 

    2  .056a  24.9  95.3  .231 

    3  .007a  3.3  98.6  .086 

    4  .003a  1.4  100.0  .056 

    a. First 4 canonical discriminant functions were used in the

    analysis. 

    Wilks' Lambda 

    Test of

    Function(s) 

    Wilks'

    Lambda 

    Chi-

    square 

    df   Sig. 

    1 through 4  .808  347.546  28  .000 

    2 through 4  .937  106.501  18  .000 

    3 through 4  .990  17.137  10  .071 

    4  .997  5.033  4  .284 

    From the Wilks’ Lambda table, we can see that there are two significant discriminant

    functions, i.e. having significance level less than 0.05

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    Standardized Canonical Discriminant Function Coefficients 

    Function 

    1  2  3  4 

    BrandName  .983  .675  -.807  -.979 

    Price  -.550  -.401  .117  .662 

    Mileage  -.511  .157  .362  -.946 

    Ease of

    Maintenance 

    -.327  .968  .558  .119 

    Appearance  .478  -1.057  1.295  -.509 

    After Sales

    Services 

    -.293  .297  -.360  .293 

    Engineering

    Technology 

    .645  .013  -.506  1.472 

    On using the Wilks’ lambda table and the Standardized Canonical Discriminant Function

    Coefficients table, we obtain the following perceptual map.

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    From the perceptual map, we can obtain the following findings:

    1. Customers feel that Honda and Yamaha bikes have strong appearance.

    2. Bajaj seems to be doing well with its post sales factors, like the after sales

    services and ease of maintenance of the bike.

    3. Hero bikes are easy to maintain

    4. According to customers, none of the bikes seem to be doing good on technology,mileage and price.

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    Classification Resultsa 

    Bran

    d

    Predicted Group Membership Total

    1 2 3 4 5

    Origin

    al

    Cou

    nt

    1 132 87 54 27 27 327

    2 42 123 78 42 42 327

    3 45 54 177 24 27 327

    4 57 108 63 66 33 327

    5 45 120 72 36 54 327

    % 1 40.4 26.6 16.5 8.3 8.3 100.0

    2 12.8 37.6 23.9 12.8 12.8 100.0

    3 13.8 16.5 54.1 7.3 8.3 100.0

    4 17.4 33.0 19.3 20.2 10.1 100.0

    5 13.8 36.7 22.0 11.0 16.5 100.0

    a. 33.8% of original grouped cases correctly classified.

    Hit ratio: 33.8%

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    ➢  DISCRIMINANT ANALYSIS FOR THE URBAN POPULATION

    Dependant variable: categorical

    - Whether the respondent or any of his family member owns a bike.

    Independent variables

    - Age

    - Income

    - Number of family members

    Output obtained:

    Eigenvalues 

    Functio

    n

    Eigenvalu

    e

    % of

    Variance

    Cumulative

    %

    Canonical

    Correlation

    1 .098a  100.0 100.0 .299

    a. First 1 canonical discriminant functions were used in the

    analysis.

    Wilks' Lambda 

    Test of

    Function(s)

    Wilks'

    Lambda

    Chi-

    square

    df Sig.

    1 .910 30.386 3 .000

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    Canonical Discriminant

    Function Coefficients 

    Functio

    n

    1

     Age -.200

    Income (per month) .000

    Number of family

    members

    -.261

    (Constant) 4.403

    Unstandardized coefficients

    Functions at Group Centroids 

    1. Do you or your

    family member own

    a bike?

    Functio

    n

    1

    0 -.508

    1 .193

    Unstandardized canonical

    discriminant functions evaluatedat group means

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    Classification Resultsa 

    1. Do you or your

    family member own a

    bike?

    Predicted Group

    Membership

    Total

    0 1

    Origina

    l

    Count 0 69 21 90

    1 105 132 237

    % 0 76.7 23.3 100.0

    1 44.3 55.7 100.0

    a. 61.5% of original grouped cases correctly classified.

    Hit ratio: 61.5% suggests that 61% of the attributes that contribute towards buying

    behavior in the motorbike industry have been covered namely age, income and number

    of family members.

    Discriminant equation obtained: 

    D = 4.403 -.200 * Age + 0.0008 * Income - .261 * Number of family members 

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    ➢  FACTOR ANALYSIS FOR URBAN CUSTOMERS

    Rotated Component Matrixa A 

    Component 

    1  2  3  4 

    Brand  .296  .868  .244  .189 

    Price  .935  .225  .165  .112 

    Mileage  .156  .832  .160  .129 

    Ease of

    Maintenance 

    .915  .202  .101  .086 

    Appearance  .268  .800  .151  .126 

    After Sales

    Services 

    .768  .144  .072  .056 

    Technology  .139  .129  .166  .829 

    Engine Capacity  .125  .309  .383  .760 

    Power/BHP  .119  .359  .414  .634 

    Electronic

    Speedometer  

    .132  .120  .903  .199 

    Self Start  .340  .309  .705  .070 

    Disk Break  .147  .254  .766  .332 

    Color Availability  .132  .135  .908  .191 

    Tyre Type  -.001  .226  .258  -.255 

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    Tail and Head

    Lights 

    .296  .868  .244  .189 

    Family needs  .935  .225  .165  .112 

    Ease of Riding  .865  .167  .180  .085 

    Extraction Method: Principal Component Analysis. 

    Rotation Method: Varimax with Kaiser Normalization. 

    a. Rotation converged in 6 iterations. 

    Communalities 

    Initial  Extracti

    on 

    Brand  1.000  .937 

    Price  1.000  .965 

    Mileage  1.000  .759 

    Ease of

    Maintenance 

    1.000  .895 

    Appearance  1.000  .750 

    After Sales

    Services 

    1.000  .619 

    Technology  1.000  .750 

    Engine Capacity  1.000  .835 

    Power/BHP  1.000  .716 

    Electronic 1.000  .886 

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    Speedometer  

    Self Start  1.000  .713 

    Disk Break  1.000  .782 

    Color Availability  1.000  .896 

    Tyre Type  1.000  .183 

    Tail and Head

    Lights 

    1.000  .937 

    Family needs  1.000  .965 

    Ease of Riding  1.000  .817 

    Extraction Method: Principal

    Component Analysis. 

    KMO and Bartlett's Test

    Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .898 

    Bartlett's Test of Sphericity Approx. Chi-Square 1571.738

    df 171

    Sig. .000

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    Component Score Covariance Matrix

    Component 1 2 3 4

    1 1.000 .000 .000 .000

    2 . 000 1.000 .000 .000

    3 . 000 .000 1.000 .000

    4 000 .000 .000 1.000

    Extraction Method: Principal Component Analysis.

    Rotation Method: Varimax with Kaiser Normalization.

    The component score suggests the efficiency of a test which lies between 0-1

    with the value of 1 suggesting a highly efficient factor analysis test. 

    Attributes  Factor  

    Price, Ease of maintenance, AfterSales Services, Family Needs, Ease ofriding 

    (1). Convenience 

    Brand, Mileage, Appearance, Tail andHead Lights 

    (2). Look and feel 

    Electronic Speedometer, Self-Start,Disk Break, Color availability 

    (3). Value Added features 

    Technology, Engine Capacity, Power   (4). Bike Performance 

    Unique attribute with no association to any factor: Tyre type

    Mileage, though not a part of look and feel, is found to relate with that factor. It was

    expected to relate to the bike performance factor.

    ➢  KMO-The value came out to be .898 which is greater than 0.5 implying that the

    factor analysis technique used is appropriate.

    ➢  Bartlett test of Sphericity.

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    Hypothesis-The variables are uncorrelated i.e. r = 0

    Since the value was less than the level of level of significance, we reject the hypothesis.

    Thus, the variables are correlated.

    ➢  Eigen value of each factor was greater than 1 which means that each factor

    represents at least one variable.

    Observation 

    Hence from the factor analysis, all the 17 attributes are grouped into 4 salient factors

    which together explain a total variance of 70.79%.

    ➢  FACTOR ANALYSIS FOR RURAL CUSTOMERS

    Rotated Component Matrixa 

    Component

    1 2 3

    Head and tail light .810 .066 -.144

    price .008 .651 .023

    disk break -.100 .063 .735

    power -.103 .016 .872

    Speedometer .880 .036 -.124

    Color .902 -.016 -.045

    Mileage -.080 .734 -.048

    appearance .866 -.046 -.100

    technology -.132 -.090 .860

    family needs .010 .804 .029

    ease of riding -.173 .749 -.052

    tyre type .802 -.023 -.005

    after sales .098 .757 -.053

    ease of maintainence .093 .486 .103

    self start .901 .001 -.189

    brand .931 -.011 -.099

    engine -.126 .034 .828

    Extraction Method: Principal Component Analysis.

    Rotation Method: Varimax with Kaiser Normalization.

    a. Rotation converged in 4 iterations.

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    Attributes  Factors 

    Tyre Type, Self-Start, Speedometer,Appearance, Tail and head Lights,Brand, Colour Availability 

    (1). Aesthetics 

    Price, Mileage, Family needs, Aftersales services, ease of riding 

    (2). Convenience 

    Engine Capacity, Power, Disk Break,Technology 

    (3). Bike Performance 

    Ease of maintenance qualified as a unique factor. 

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    Findings and Recommendations 

    1. For Yamaha the respondents in the research perceived it as a top brand when it

    comes to appearance, but it lacks behind in Price, Mileage, After Sales Services

    and Ease of maintenance. While focussing on appearance, the other factors

    calculated to be valuable by consumers should also be considered while

    positioning itself to increase the market share.

    2. For launching a new bike in the Urban region the factors which should be

    carefully analysed and considered are Look and Feel, Value added features,

    Convenience and Bike performance; which includes several attributes as

    mentioned in the Factor Analysis

    3. Similar to the Urban Region, the factors that should be considered in the Rural 

    region are Aesthetics, convenience and bike-performance, which should be

    considered while launching any product in the Rural Region. With 50% of the

    automobiles sales coming from this region, Yamaha should start tapping into this

    along with the Urban region.

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    Limitations

    Necessary precautions were taken in drawing meaningful inferences based on the data

    gathered. Although extreme care was taken to the best of our knowledge, some findingsmay not be that accurate.

    1. The most signified limitation has been the individuals involved in this study who hadlittle knowledge about the bike industry or its attributes.

    2. The sample size selected for the survey was small as compared to large populationwhich makes it unrepresentative.

    3. The most difficult limitation of this research is the limited amount of time in which thecollection of data and report analysis is to be done.

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    Annexures 

    Questionnaire for Urban 

    Survey on Two-wheelers, BikesWe are interested in understanding your opinion on Two Wheeler industry to analysehow people decide on buying a particular Bike.Your responses will be kept completely confidential and will only be available inaggregate form. We would appreciate your candid and honest answers to the surveyquestions.

    The survey will take about 5 minutes to complete.

    Thank you for your valuable time.

    *Required1. Do you or your family member own a bike? * 

    o  Yes

    o  No

    2. If yes, which of the following brands does your Bike belong to? (If no,Please move to Question 6.)

    o  Yamaha

    o  Honda

    o  TVS

    o  Bajaj

    o  Hero

    o  Other:

    3. What is the model of your bike?

    4. Which price category does your Bike belongs to?

    o  Less than 30000

    o  30001 - 40000

    o  40001 - 50000

    o  50001 - 60000

    o  60001 and above

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    5. What is the engine capacity of your bike?

    o  Less than 100cc

    o  100cc to 125cc

    o  126cc to 150cc

    o  151cc to 180cc

    o   Above 180cc

    6. Rate the following attributes which influence/will influence yourpurchase decision towards Bike. ( 1 being the least important attribute and5 being the most important) * 

    1 2 3 4 5

    Brand

    Price

    Fuel Efficiency (Mileage)Ease of Maintenance

     Appearance

     After Sales Services

    Technology

    Engine Capacity

    Power/BHP

    Electronic Speedometer

    Self StartDisk Break

    Color Availablity

    Tyre type

    Tail and Head lights

    Family Needs

    Ease of Riding

    7. Rate Yamaha bikes on the following attributes. ( 1 being the leastsatisfactory attribute and 5 being the most) * 

    1 2 3 4 5

    Brand

    Price

    Fuel Efficiency (Mileage)

    Ease of Maintenance

     Appearance

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     1 2 3 4 5

     After Sales Services

    Technology

    Engine Capacity

    Power/BHP

    Electronic Speedometer

    Self Start

    Disk Break

    Color Availablity

    Tyre Type

    Tail and Head lights

    Ease of Riding

    8. Rate Bajaj bikes on the following attributes. ( 1 being the leastsatisfactory attributes and 5 being the most) * 

    1 2 3 4 5

    Brand

    Price

    Fuel Efficiency (Mileage)

    Ease of Maintenance

     Appearance

     After Sales Services

    Technology

    Engine Capacity

    Power/BHP

    Electronic Speedometer

    Self Start

    Disk Break

    Color Availablity

    Tyre Type

    Tail and Head lights

    Ease of Riding

    9. Rate TVS bikes on the following attributes. ( 1 being the leastsatisfactory attributes and 5 being the most) * 

    1 2 3 4 5

    Brand

    Price

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     1 2 3 4 5

    Fuel Efficiency (Mileage)

    Ease of Maintenance

     Appearance

     After Sales Services

    Technology

    Engine Capacity

    Power/BHP

    Electronic Speedometer

    Self Start

    Disk Break

    Color Availablity

    Tyre Type

    Tail and Head lights

    Ease of Riding

    10. Rate Honda bikes on the following attributes. ( 1 being the leastsatisfactory attributes and 5 being the most) * 

    1 2 3 4 5

    Brand

    Price

    Fuel Efficiency (Mileage)

    Ease of Maintenance

     Appearance

     After Sales Services

    Technology

    Engine Capacity

    Power/BHP

    Electronic Speedometer

    Self Start

    Disk Break

    Color Availablity

    Tyre Type

    Tail and Head lights

    Ease of Riding

    11. Rate Hero bikes on the following attributes. ( 1 being the leastsatisfactory attributes and 5 being the most) * 

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     1 2 3 4 5

    Brand

    Price

    Fuel Efficiency (Mileage)

    Ease of Maintenance

     Appearance

     After Sales Services

    Technology

    Engine Capacity

    Power/BHP

    Electronic Speedometer

    Self Start

    Disk Break

    Color Availablity

    Tyre Type

    Tail and Head lights

    Ease of Riding

    12. Do you feel your bike is value for money. * 

    o  Strongly agree

    o   Agree

    o  Neutralo  Disagree

    o  Strongly Disagree

    13. Are you considering to buy another bike? * 

    o  Yes

    o  No

    14. For each of the following brands, please indicate how likely you are to

    consider purchasing the Bike? * MostLikely

    LikelySomewhat

    LikelyNot Likely

    Yamaha

    Honda

    Bajaj

    TVS

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     MostLikely

    LikelySomewhat

    LikelyNot Likely

    Hero

    15. How strong is your bike a reason for your pride in front of your peers? * 

    o  Very higho  High

    o  Moderate

    o  Low

    o  Very low

    Gender * 

    o  Male

    o  Female

    Age * 

    Occupation * 

    o  Student

    o  Government Employee

    o  Private Sector Employee

    o  Business

    o  Housewife

    o  Other:

    Income (per month) * 

    Number of family members * 

    Submit

     

    Never submit passwords through Google Forms.

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    Questionnaire for Rural 

    1. Do you or any of your family member own a bike

    2. If yes, which of the following brands does the bike belong to?

    3. What is the model of the bike?

    4. What price category does the bike belong to?

    5. How did you get to know of the bike you own?

      Word Of Mouth

      Advertisements

      Saw maximum People Driving it

    6. Rate the following attributes which influence/will influence

    your purchase decision towards Bike. ( 1 being the least

    important attribute and 5 being the most important) *

      Head and tail light

      price

      disk break

      power

      Speedometer

      Colour

      Mileage

      appearance

      technology

      family needs

      ease of riding

      tyre type

      after sales

      ease of maintenance

      self-start

      brand

      engine

    7. are you satisfied with the bike you own: YES/NO 

    8. If no, what is the reason behind the dissatisfaction?

      not value for money

      not meant for the city to drive

      doesn’t fulfil your family needs

      high maintenance cost

      dissatisfactory after sales service

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    References

      http://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-

    eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cms 

      http://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360 

      http://www.business-standard.com/article/companies/yamaha-to-launch-a-

    commuter-segment-product-next-year-115102701139_1.html 

      http://www.autocarpro.in/analysis-sales/india-sales-analysis-january-2016-10319 

      http://profit.ndtv.com/topic/yamaha-motor-india-sales 

    http://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cmshttp://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cmshttp://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cmshttp://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cmshttp://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cmshttp://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://www.autocarpro.in/analysis-sales/india-sales-analysis-january-2016-10319http://www.autocarpro.in/analysis-sales/india-sales-analysis-january-2016-10319http://profit.ndtv.com/topic/yamaha-motor-india-saleshttp://profit.ndtv.com/topic/yamaha-motor-india-saleshttp://profit.ndtv.com/topic/yamaha-motor-india-saleshttp://www.autocarpro.in/analysis-sales/india-sales-analysis-january-2016-10319http://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://www.business-standard.com/article/companies/yamaha-to-launch-a-commuter-segment-product-next-year-115102701139_1.htmlhttp://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://auto.economictimes.indiatimes.com/news/two-wheelers/motorcycles/why-yamaha-finds-opportunity-in-an-unlikely-market-segment/40352360http://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cmshttp://economictimes.indiatimes.com/industry/auto/two-wheelers/yamaha-india-eyes-doubling-two-wheeler-market-share-by-2017-18/articleshow/40352674.cms