RMB Mini Project (2)Final

8/2/2019 RMB Mini Project (2)Final

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STUDY ON STUDENTS PREFERENCE

TOWARDS VARIOUS MOBILESERVICE PROVIDERS WITH SPECIALREFERENCE TO COIMBATORE


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INTRODUCTION Initially Department of Telecommunications

(DoT) was the only monopoly operator in thecountry.

Telecom Regulatory Authority of India was set upin 1997 and in 1999 National Telecom Policy wasannounced.

Indian mobile market is one of the fastest growing

markets and is forecasted to reach 868.47 millionusers by 2013.


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MOBILE SERVICE PROVIDERS Bharti Airtel Limited (Bharti), Reliance Communications Limited (Reliance), Vodafone Essar Limited (Vodafone), Bharat Sanchar Nigam Limited (BSNL)-state owned, Tata Teleservices Limited (Tata), Idea Cellular Limited (IDEA),

Aircel Limited (Aircel), Unitech Wireless Limited (Unitech), Mahanagar Telephone Nigam Limited (MTNL), Sistema Shyam TeleServices Limited (Sistema), Loop Mobile (India) Limited - Formerly BPL Mobile (Loop

Mobile), Videocon Telecommunications Limited (Videocon), S Tel Private Limited (S Tel), Himachal Futuristic Communications Limited (HFCL) and

Etisalat DB Telecom Private Limited (Etisalat).


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NEED AND SCOPE OF THE STUDY Many new competitors have entered the market

with new attractive schemes, providing additionalfacilities, adding new features to existing ones.This study would help the service providers toidentify the facility to be provided to attract

customers. The scope is limited to Coimbatore. The major service provider considered for the

study are Bharti Airtel Limited (Bharti), Reliance

Communications Limited (Reliance),VodafoneEssar Limited (Vodafone), Bharat Sanchar NigamLimited (BSNL)-state owned, Tata TeleservicesLimited (Tata), Aircel Limited (Aircel).


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OBJECTIVES OF THE STUDY To know about the awareness level of students

regarding their mobile service provider. To ascertain the attributes that students prefers in

selecting a particular mobile phone service provider.

To study the students satisfaction level towards

various services offered by mobile phone serviceproviders.

To assess the problems faced by the mobile phoneusers regarding their respective mobile phone serviceproviders.

To know which advertisement media puts moreimpact on the buying decision of students.

To understand and offer valuable suggestions toimprove the services of mobile phone service

providers.


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RESEARCH METHODOLOGY The area of study confined to Coimbatore.

The sample size for the study is 50 samples Random samples were taken and research was

done based on convenience sampling

The data, which is collected Primary Source: The data has been collected

directly from respondent with the help ofstructured questionnaires.

Secondary Source: The secondary data wascollected from internet


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LIMITATION OF THE STUDY The sample size of the study is limited to 50

respondents which are not based on anyscientific method for determining thesample size.

Geographical area of this study is confinedto Coimbatore District only.

The scope of the study was limited

Most of the responses were collected fromfemale and so the output are biased.


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Statistical tools used: Percentage analysis

Friedman test

ANOVA

Correlation

Chi-square


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ANALYSIS AND INTERPRETATION


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Frequency Percent ValidPercent CumulativePercentValid male 18 36.0 36.0 36.0

female 32 64.0 64.0 100.0Total 50 100.0 100.0

TABLE SHOWING THE GENDER OF

THE RESPONDENTSGender


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INTERPRETATION:It is clear from the above table that out of total

respondents taken for the study 36.0% of the

respondents are male and 64.0% of therespondents are female.


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CHART SHOWING THE GENDER OF THE RESPONDENTS


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Age

TABLE SHOWING THE AGE OF THE RESPONDENTS

Frequency Percent Valid Percent Cumulative PercentValid 18-21 30 60.0 60.0 60.0

22-25 20 40.0 40.0 100.0Total 50 100.0 100.0


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Interpretation:It is inferred from the above table that out of thetotal respondent taken for the study , 60.0% of the

respondents fall under the category age of 18-21

years,40.0% of the respondents fall under the

category age of 22-25 years.


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CHART SHOWING THE AGE OF THE RESPONDENTS


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Frequency Percent Valid PercentCumulative

PercentValid prepaid 41 82.0 82.0 82.0

postpaid 8 16.0 16.0 98.0

Total 50 100.0 100.0

Services

TABLE SHOWING THE SERVICE PREFERRED BY THERESPONDENTS


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Interpretation:From the above table it is inferred that 82.0% of

the respondents use prepaid service and 16.0% of the

respondents use postpaid services.


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CHART SHOWING THE SERVICE PREFERRED BY THERESPONDENTS


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Frequency PercentValid

PercentCumulative

PercentValid airtel 30 60.0 60.0 60.0

vodafone 6 12.0 12.0 72.0bsnl 7 14.0 14.0 86.0

aircel 5 10.0 10.0 96.0reliance 1 2.0 2.0 98.0

tata docomo

1

2.0

2.0

100.0

Total 50 100.0 100.0

Current Connection

Table showing the current connection used by therespondents


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Interpretation:It is inferred from the above table that 60% of the

respondents use airtel, 12 % of the respondents use

Vodafone, 14% of the respondents use Bsnl, 10 % of the

respondents use aircel, and 2% of the respondents usereliance and tata docomo.

So it is concluded that majority of the respondents

are using Airtel


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Chart showing the current connection used by therespondents


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PercentCumulativ

e PercentValid TV 38 76.0 76.0 76.0

Magazine 2 4.0 4.0 80.0Newspaper 4 8.0 8.0 88.0

Internet 6 12.0 12.0 100.0Total 50 100.0 100.0

Advertisement Impact

Table showing the advertisement impact of therespondents


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Interpretation:Nearly 76 % of the respondents are attracted by

advertisements in TV, 4 % by magazines, 8% by

newspapers and 12% by internet.It is concluded that advertisement media that

puts more impact on the buying decision of students is

TV.


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Table showing the advertisement impact of therespondents


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Frequency Percent ValidPercent CumulativePercentValid yes 12 24.0 24.0 24.0

no 38 76.0 76.0 100.0Total 50 100.0 100.0

Satisfied Services

Table showing the satisfaction level of respondents


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Interpretation :From the above table it is found that 76% of the

customers of various networks are not satisfied with their

service providers and only 24 % are satisfied.


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Table showing the satisfaction level of respondents


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PercentCumulativ

e PercentValid coverage 23 46.0 46.0 46.0

call charges 18 36.0 36.0 82.0roaming facility 3 6.0 6.0 88.0

value added services 6 12.0 12.0 100.0Total 50 100.0 100.0

Facility Attracts

Table showing the facility that attracts the respondents


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Interpretation:From the above table it is found that 46% of the

respondents are attracted by the coverage facility, 36% by

call charges facility , 6% of the respondents are attracted by

roaming facility and 12% by value added services.It is found that most of the respondents are attracted by

coverage facility.


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Chart showing the facility that attracts the respondents


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TABLE SHOWING THE ASSOCIATION BETWEENGENDER AND MONTHLY EXPENSES OF THERESPONDENTS ON MOBILE SERVICESCross tab:

monthly expenses Total

less

than 150 150-350 350-500

above

500 less than 150

gender male10 6 2 0 18

female

12 12 3 5 32

Total22 18 5 5 50


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Interpretation:It is inferred from the above table that 22

respondents spend less than 150 out of which age 10

respondents are male and 12 respondents are female. 18respondents spend 150-350 out of which 6 are male and

12 are female, 5 respondents spend 350-500 out of which

2 are male and 3 are female. And 5 respondents spend

above 500 out of which majority are female.


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Friedman Test

N50

Chi-Square40.669

df3

Asymp. Sig..000

Test Statistics(a)

Table showing the Rank of the factors that influence therespondents to use their service provider:

Mean Rankprice 2.79

network services 3.10brand image 2.56

value added service 1.55


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Interpretation:From the above Friedman test it has been

found that value added service is the important factor that

influence the respondents to use the service provider as the

mean is found for the value added service is 1.55. the 2nd

factor is brand image and its mean is 2.56. Price is the3rd

factor as the mean is 2.76 and mean for network services

is high 3.10.

As the significance level is less than 0.05 , so the

value added service is most influencing factor.


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Test Statistics(a)

FriedmanTestMean Rank

Sms pack 2.72concession call 2.74internet services 1.86

full talk time 2.67N

49Chi-Square 16.313

df 3Asymp. Sig. .001

Table showing the ranks for the value added service thatattracts the respondents


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InterpretationFrom the above Friedman test it has been found that

internet services is the important factor that influence the

respondents to use the service provider as the mean is found

for the internet service is 1.86. The 2

nd

factor full talk time andits mean is 2.67. Sms pack is the3rd factor as the mean is 2.72

and mean for concession call is high 2.4

As the significance level is less than 0.05, the rank have

impact on preferences and so the internet value added service

is most influencing factor.


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Friedman Test

Mean Rankbilling related 2.42

activate/deactivate3.00

info VAS's 2.35

network problem 2.23N

50Chi-Square

10.596df

3Asymp. Sig.

.014

Test Statistics(a)

Table showing the ranks of problems faced by therespondents with customer care service


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Interpretation:From the above Friedman test it has been found that

network problem is the problem faced by the respondentsdue to which they have to contact customer care service

provider regularly as the mean is least for it (2.23) the 2nd

problem faced is information about VASs as its mean is

2.35. Billing related is the3rd problem as the mean is 2.42

and mean for network services is high 3.00.

As the significance level is greater than 0.05 , the

ranks have no high significant difference. And it is found

that most of the respondents face network problem.


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Correlationsconnectivity satisfaction serive awarness

connectivity Pearson Correlation 1 -.123 -.102 -.062Sig. (2-tailed) .396 .480 .671

N 50 50 50 50satisfaction Pearson Correlation -.123 1 .074 .267

Sig. (2-tailed) .396 .609 .061N 50 50 50 50

serive Pearson Correlation -.102 .074 1 .105Sig. (2-tailed) .480 .609 .466

N 50 50 50 50awarness Pearson Correlation -.062 .267 .105 1

Sig. (2-tailed) .671 .061 .466N 50 50 50 50

Table showing the correlation between factors likeconnectivity, satisfaction, service, awareness


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Interpretation:From the above table it is inferred that factors such asconnectivity, satisfaction, service and awareness are not

correlated with each other and there is no association

between them.


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Sum of Squares df Mean Square F Sig.connectivity Between Groups .480 1 .480 2.131 .151

Within Groups

10.811

48

.225

Total 11.291 49satisfaction Between Groups .171 1 .171 1.922 .172

Within Groups 4.275 48 .089Total 4.447 49

service

Between Groups

.593

1

.593

2.356

.131

Within Groups 12.074 48 .252Total 12.667 49

awarness Between Groups .005 1 .005 .029 .867Within Groups 8.076 48 .168

Total8.081

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One way ANOVA

Table showing the association between Age and connectivity, ageand satisfaction, age and service, age and awareness

h i i i b d i i


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Null Hypothesis: There is no association between age and connectivity,age and satisfaction, age and service, age and awareness

Alternative Hypothesis: There is association between age andconnectivity, age and satisfaction, age and service, age and awareness

Interpretation:It is inferred from the above table that the calculated value for

connectivity (p=.151), satisfaction (p=.172), service (p=.131), awareness

(p=.867) has no association with age, as the there is no significant

difference i.e. less than 0.05, therefore we have to accept the nullhypothesis as there is no significant difference and similarity between

the gender age and connectivity, age and satisfaction, age and service,

age and awareness.


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TABLE SHOWING THE ASSOCIATION BETWEEN AGEGROUP AND PURPOSE OF USAGE BY THE RESPONDENTS

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square

4.218(a) 3 .239

Likelihood Ratio 4.892 3 .180

Linear-by-Linear

Association.242 1 .623

N of Valid Cases 50

purpose of use Total

incomin

g calls

out

going

calls

sms

messagi

ng internet incoming calls

age 18-21 11 6 13 0 30

22-25 6 6 6 2 20

Total 17 12 19 2 50


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Interpretation:Null Hypothesis: There is no association between age group

and purpose of usage of mobile service by the respondents.

Alternative Hypothesis: There is association between agegroup and purpose of usage of mobile service by the

respondents

From the above table it is shown that the Pearson chi

square significance value(p=0.239) which is more than

0.05) therefore we accept the null hypothesis (there is no

association between the age group and number of mobile

phone used by the respondents).


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FINDINGS: Few years back mobile connections were not common among

the students. But with the mobile revolution now we can find

almost every student with mobile phone. Most of the students prefer prepaid connections than

postpaid connections.

Most preferred cellular company amongst the students isairtel and the least preferred company is reliance.

Mostly the students are dissatisfied with the services providedby the different mobile service provider.

Maximum number of respondents was attracted towards thecoverage facility and the least like the roaming services.

T.V. and internet are the best media advertisements that putmore impact on the students buying decisions.

M thl f f l hi h th l th


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Monthly expenses of female are higher than male on themobile services which is derived through cross tabulation.

From the Friedmans test it has been found that value added

services like Internet are most influencing factor for studentsto have particular service provider. And the problem for whichthey need to contact customer care is network facility as itranked at 1st position.

In anova its inferred that there is no significant difference andthus there is no association between the gender age andconnectivity, age and satisfaction, age and service, age andawareness.

In chi-square it is inferred that there is no association betweenage group and purpose of usage of mobile service by therespondents.


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CONCLUSION Study attempts to find out the satisfaction of

consumer regarding cell phone service providers.

Quality of service and the ability to attract and retain

customers dictate the success or failure of next-

generation communications service providers

There should be constant innovation by adding new

additional features since customers are looking for new

features from the mobile service provider.


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Thank you

Documents

RMB Mini Project (2)Final