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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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