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    PRESENTED BY-Srinivas

    AMAJOR PROJECT PRESENTATION

    ON

    A STUDY ON BRAND PREFERENCE OFDIFFERENT MOBILE PHONES(with reference to NOKIA, SAMSUNG, LG, MICROMAX and Other local

    manufacturers)

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    Measure o f brand loyalty in which a consumer will choose aparticular brand in presence of competing brands, but will

    acce

    pt sub

    stitute

    s if

    thatb

    rand is no

    t availab

    le.

    In an attempt to build brand preference advertising, theadvertising must persuade a target audience to consider theadvantages of a brand, often by building its reputation as a long-

    established and trusted name in the industry.

    BRAND PREFERENCE

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    Nokia Corporation is a Finnish multinational communicationscorporation a city neighboring Finland's capital Helsinki. Nokia is

    engaged in the manufacturing of mobile devices and in

    converging Internet and communications industries, with over132,000 employees in 120 countries, sales in more than 150

    countries and global annual revenue of over 42 billion and

    operating profit of 2 billion as of 2010.

    Company profiles

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    Micromax is a telecommunications company basedin Gurgaon, Haryana, India. It is a manufacturer of wireless

    telephone handsets. Micromax has 23 domestic offices acrossthe country and international offices in Hong Kong, USA, Dubai

    and now in Nepal. Micromax is the largest Indian domestic

    mobile handsets company in terms of units shipped during the

    quarter ended March 31, 2010 and the third largest mobile

    handset seller in India as at March 31, 2010

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    Mobile Brand Market Share

    Nokia 54.1%

    Others ( Local Manufacturers) 17.5%

    Samsung 9.7%

    LG 6.4%

    Top India Mobile BrandsAccording to a recent survey conducted by 'VoiceAndData " the top Mobile Brands in

    India were ranked as follows;

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    Toknow about the student preference level associatedwith different mobile phones.

    Tofind out the students satisfaction towards the variousmobile phones.

    Factors that influence decision-making in purchasing amobile phone.

    Toknow which advertisement media puts more impacton thebuying decision of students.

    Objectives of the study

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    Sample size 250

    Sample Unit Students of Graduation and the Post Graduation havebeen taken as sample unit.

    Universe Bilaspur city

    Research type Descriptive Research

    Test applied Chi Square test

    Primary data source Structured Questionnaire

    Secondary data source Internet

    Research Methodology

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    H

    YPOTH

    ESIS:

    Ho; there is no significant relationship between thegender and time period of using the mobile phone.

    H1; there is a significant relationship between the genderand time period of using the mobile phone.

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    Ho; there is no significant relationship between theincome and spending on the mobile phones.

    Ha; there is a significant relationship between the incomeand spending on the mobile phones.

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    Ho; there is no significant relationship between the incomeand frequency of changing the mobile phones.

    Ha; there is a significant relationship between the incomeand frequency of changing the mobile phones.

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    DATA ANALYSIS

    ANDINTERPRETATION

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    Q-1 Sex ratioof the respondents

    0

    20

    40

    60

    80

    100

    120

    140

    160

    Male Female

    Number of the

    Respondents

    139

    111

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    Q.2- occupation of the Respondents Family

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    Interpretation

    The graphical representation of the table shows that out of the 250 respondents, 109respondents belong to the service family, 76 were from business, 34 were from theprofessional and 31 were from the others family.

    0

    20

    40

    60

    80

    100

    120

    Service Professional Business Others

    Number of theRespondents

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    Q- 3Income level of the respondents family

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    Interpretation

    The graphical representation of the table shows that out of the 250 respondents, 101 respondents werefrom the family whose income is less than 15,000, 61 respondents were from the family whose incomeis between the 15,001 25,000, 52 respondents were from the family whose income is between 25,001-35,000 and rest were from the family whose income is above 35,001.

    0

    20

    40

    60

    80

    100

    120

    Less than

    15,000

    15,001-

    25,000

    25,001-

    35,000

    35,001 &

    above

    Number ofthe Respondents

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    Q-4 - Which mobile phoneyou are using?

    52%

    16%

    10%

    9%13%

    Respondents

    Nokia

    Samsung

    Micromax

    LG

    Others

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    Q.5 - How long you are using the mobile phones?

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    Number of the Respondents on thebasis of usage time period

    0

    10

    2030

    40

    50

    60

    70

    80

    Less than 1year

    1-2year 2-4year Above 4 year

    Number ofthe Respondents

    InterpretationOut of the 250 respondents 48 are using for less than year, 75 are using for 1-2years, 56 are using for 2-

    4 years, 71 are using for above 4 years.

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    Q.6-H

    ow often doyou changeyour mobile phone?

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    Number of the Respondents on thebasis offrequencyof

    changing the mobile phones

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Less than 1

    year

    1-2year 2-4year Above 4 year

    Number of the Respondents

    InterpretationOut of the250 respondents 59 are using for less than year, 88 are using for 1-2years, 48 areusing for 2-4 years, 60 are using for above 4 years.

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    Q.7 what will you be willing to payfor a mobile phone

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    0

    20

    40

    60

    80

    100

    120

    140

    160

    Less than10,000

    10,001-20,000

    20,001-40,000

    anyamount

    Number of theRespondents

    Interpretation:The graphical representation shows that out of the 250 respondents, 142 respondents werewilling to spend less than 10,000, 86 were willing to spend between 10,001 to 20,000, 15were willing to pay between 20,001 to 40,000 and rest were ready to pay any amount.

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    Q-8. Consider the TV advertisement you like most what brand is it

    promoting

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    Chi square test

    GENDER LESS THEN

    1 YEAR

    1-2 YEAR 2-4 YEAR ABOVE 4

    YEAR

    Total

    MALE 23 38 32 45 139

    FEMALE 25 36 25 26 111

    TOTAL 48 74 57 71 250

    Chi- square analysis on therelationship between gender and timeperiod of usage the mobile phone.

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    O E (O-E)2 (O-E)2/E

    23 26.5 12.25 .462

    25 40.8 7.84 .192

    38 31.4 .36 .01136 39.2 33.64 .858

    32 21.5 12.25 .570

    25 33.2 7.84 .236

    45 25.5 .25 .00926 31.9 34.81 1.091

    E 3.429

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    X2 = (O-E) 2 / E = 3.429

    N.df = (row-1) (column 1)

    = (2-1) (4-1)= 3

    Table value of X2 at 5% level of significance = 7.815

    Conclusion :

    Thus calculated X is less than the tabulated X. X calculated =3.429

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    Income/SpendingAmount

    Less than10,000

    10,000- 20,000 20,000- 40,00040,000 &

    aboveTotal

    Less than15,000 66 27 4 4 101

    15,000 25,000 35 23 3 - 61

    25,000- 35,000 29 20 1 2 52

    35,000 & above 10 18 7 1 36

    Total 140 88 15 7 250

    CHI-SQUARE ANALYSIS ON THE RELATIONSHIP BETWEENINCOME AND SPENDING ON MOBILE PHONES

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    O E (O-E)2 (O-E)2/E

    66 56.66 89.11 1.57

    35 34.16 .70 .02

    29 29.12 .01 .00

    10 20.16 103.2 5.11

    27 35.55 73.10 2.05

    23 21.47 2.34 .1120 18.30 2.89 .16

    18 12.67 28.40 2.24

    4 6.06 4.24 .70

    3 3.66 .435 .12

    1 3.12 4.49 1-44

    7 2.16 23.42 10.84

    4 2.82 1.39 .50

    - 1.70 2.89 1.7

    2 1.45 .30 .21

    1 1 0 0

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    X2 = (O-E) 2/ E =26.77

    Number of degreeoffreedom:Ndf= (row-1) (column 1)

    = (4-1) (4-1)

    = 9

    Table valueofX2 at 5% level of significant =16.919

    Conclusion:

    HO is rejected since the calculated valueofX2 (26.77) more than the table valueofX2 (16.919) hence there is a significant relationship between income and spendingon mobile phones.

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    GENDER LESS THEN 1YEAR

    1-2 YEAR 2-4 YEAR ABOVE 4YEAR

    Total

    MALE 38 45 23 33 139

    FEMALE 21 43 20 27 111

    TOTAL 59 88 43 60 250

    CHI-SQUARE ANALYSIS ON THE RELATIONSHIP BETWEENGender AND Frequencyof changing theMOBILE PHONES

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    O E (O-E)2 (O-E)2/E

    38 32.80 27.04 .82

    45 48.92 15.36 .31

    23 23.90 1 .0433 33.36 .13 .00

    21 26.20 27.04 1.03

    43 39.07 15.44 .40

    20 19.09 .82 .04

    27 26.64 .13 .00

    E 2.6

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    X2 = (O-E) 2 / E = 2.64

    Number of degree of freedom:Ndf = (row-1) (column 1)

    = (2-1) (4-1)

    = 3

    Table value of X2 at 1% level of significant = 7.815

    Conclusion:HO

    is acce

    pte

    d since

    the

    calculate

    d value of X2

    (2.

    64) le

    ss than the

    tab

    le

    value of X2

    (7.815) hence there is no significant relationship between gender and frequency ofchanging the mobile phones.

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    Nokia is the most favorite brand of the college student.

    35% student change their mobile phones within 1to2 years

    30% students are using the mobile phones since last 1 to 2 years

    51% students are ready to pay for a mobile phone less than 10,000and they spend according to their family income.

    49% students like the Nokia advertisement most.

    Mostly students use the mobile phones for talking, SMS and for

    using the GPRS function. Mostly students have hands free, Bluetooth and memory card.

    Findings

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    Almost all students are aware about the GPRS, Bluetooth and

    MMS service but least students are aware about the 3G function.

    Most favorite brand among the college students is Nokia

    Appearance, Price, Brand Image and advertisement are theimportant factors for the students while purchasing mobilephones.

    Mostly students see advertisement on television

    Mostly students have the hanging and service problem with the

    Nokia.

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    Recommendations Nokia should provide better service and try to solve the hanging

    problem

    Cellular companies should increase the awareness about the 3G service.

    Companies should offer more range of Rs. 10,000 or less than 10,000.

    LG and Samsung should try to expand its market share and also should

    try to increase the awareness through the television advertisement.

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    A small sample sizeof250 students is taken, so we cannot drawinferences about the population from this sample size.

    Time period is short and resource constraints.

    The scopeof the project is limited to the cityof Bilaspur City.So, we cannot say that the same response will exist throughout

    India.

    This study is based on the prevailing students satisfaction. But thestudents satisfaction may change according to

    Limitations of the Study

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    THANK YOU

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