Mobile Wallet Usage in India

8/19/2019 Mobile Wallet Usage in India

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for more information refer excel sheets attached

RESEARCH PAPER ON

MOBILE WALLETSUBMITTED TO DR! SH"ETA DI#ITSUBMITTED B$

ANAND AGRAWAL 101

KAUSHIK CHAKRAVARTHY 111

SURBHI GARG 121

JANHAVI KOTHARI 131

ABHISHEK NIRGUDKAR 141

SHWETAK SETHI 151

PRANAV TURAKIA 161

Mo%ile &allets are essentiall' di(ital )ersions of traditional &allets

that someone &o*ld carr' in their +oc,et! "hile there are man'

)ariations- *s*all' the' can hold di(ital information a%o*t credit and

de%it cards for ma,in( +a'ments- store co*+ons and lo'alt'

+ro(rams- s+eci.c information a%o*t +ersonal identit' and more so

&e are chec,in( &hat are the main factors that are act*all'contri%*tin( to the +*rchase of mo%ile &allet!

Pa(e 1 of 20



/0! 1 Usa(e of mo%ile &allet )s occ*+ation

23!43

55!64

32!2

1 USA7E )s Occ*+ation

3 to 8 times 9ess than 2 times More than 8 times

Res*lt The maxim*m *sers are st*dent &ho *se mo%ile &allet

/2! 1 Usa(e )s the ann*al income

23!43

55!64

32!2

1 USA7E )s Ann*al salar'


Pa(e 2 of 20



Res*lt Maxim*m *sers are &hose ann*al salar' is %et&een 8:06 la,h

of income

/3! 1 Usa(e )s! A(e

23!43

55!64

32!2

1 USA7E )s A(e


Res*lt The maxim*m *sers are in a(e (ro*+ %et&een 0;:28 i!e! 'o*n(

+eo+le &ho *ses mo%ile &allet

/5! 1 Usa(e )s the fre<*enc' of *sa(e in a month

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23!43

55!64

32!2

1 USA7E )s A(e


Res*lt Mostl' +eo+le do online transaction less than 2 times a month

FACTOR ANALYSIS

Through factor anal!"! #$ rat$ th$ factor! #h"ch cu!to%$r!

con!"&$r #h"l$ u!"ng %o'"l$ #all$t!( Th$ follo#"ng #$r$

th$ r$!ult! o'ta"n$& "n S)SS(

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .635

Bartletts !est of Sp"ericity Appro#. $"i-Square 5%.&%6

df 6

Sig. .'''

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A! th$ ,MO -alu$ .0(/3+ "! gr$at$r than 0(/ #$ can go ah$a&

#"th factor anal!"!( Fro% th$ Scr$$ lot #$ o'!$r-$

th$r$ "! onl on$ co%on$nt #ho!$ $"g$n -alu$ "!

gr$at$r than 1( Th"! co%on$nt conta"n! th$ $l$%$nt!

#h"ch ar$ "nt$r&$$n&$nt( Fro% th$ co%on$nt %atr"

#$ o'!$r-$ that Ea!$ of )a%$nt an& ,no#l$&g$ of

4!"ng ar$ th$ &o%"nat"ng factor! a! th$"r contr"'ut"ng

-alu$ "! gr$at$r than 0(5( Saf$t an& Fr$6u$nc of 4!"ng

ar$ l$!! contr"'ut"ng factor!(

C7I S84ARE TEST9

Ch" !6uar$ t$!t #a! carr"$& out to :n& "f th$r$ "! a r$lat"on!h"

'$t#$$n a $r!on;! 6ual":cat"on an& h"! r$f$r$nc$ for

a%$nt !!t$%( Th$!$ a%$nt !!t$% ar$

<$'"t=Cr$&"t car& N$t 'an>"ng CO< an& <"g"tal #all$t(

7o 9 Th$r$ "! no r$lat"on!h" '$t#$$n 6ual":cat"on an&

a%$nt !!t$% u!$&(

719 Th$r$ "! a r$lat"on!h" '$t#$$n 6ual":cat"on an& a%$nt

!!t$% u!$&(

Ch" S6uar$ r$!ult!9

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Chi-Square Tests

1alue df

Asymp. Sig. 2/-

sided

+earson $"i-Square (&.(4%a ) .'46

ikeli"ood atio (&./(( ) .'46

inear-7y-inear Association 3.55& ( .'5)

8 of 1alid $ases ((%

a. (' cells 26/.59 "a:e e#pected count less t"an 5. !"e minimum

e#pected count is ./%.

A! #$ !$$ th$ !"gn":canc$ -alu$ "! 0(0*/ #h"ch "! l$!! than

0(0+( Th$r$for$ #$ r$?$ct 70( Th$r$for$ th$r$ "! ar$lat"on!h" '$t#$$n a $r!on;! 6ual":cat"on an& th$

a%$nt !!t$% u!$&(

ANNOVA

Q3. W !" #$$%&# #$#'(")" *% +)$, *- '#*)%$"-)/ *$ *- !"# %+ ,)*,)*

#, #"- % %)' #''*.

H07 T- #&# %+ #'' *- )" "#

H17 T- #&# %+ #* '#"* *% )" ,)++$*

A$"7

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ANOVA

sage

Sum of Squares df Mean Square Sig.

Bet,een ;roups 6%.3)( 3 //.&)& ()).35& .'''

<it"in ;roups (/.%'& ((/ .((4

!otal %(.()% ((5

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Multiple Comparisons

sage

Sc"effe

2=

family>incom

e

2?

family>incom

e

Mean

@ifference

2=-?

Std.

*rror Sig.

)59 $onfidence =nter:al

o,er

Bound pper Bound

5 lak" to ('

lak"

/ lak" to 5

lak"

-.()355 .'%')/ .(33 -.4/3/ .'36(

a7o:e ('

lak"

-(.46%&5 .'%'/' .''' -(.6)64 -(./4((

7elo, / lak" -/.''''' .('&)6 .''' -/.3'64 -(.6)36

/ lak" to 5

lak"

5 lak" to ('

lak"

.()355 .'%')/ .(33 -.'36( .4/3/

a7o:e ('

lak"

-(./&5/' .'%5// .%% -(.5(&( -(.'333

7elo, / lak" -(.%'645 .(((&4 .)& -/.(/36 -(.4%)3

a7o:e ('

lak"

5 lak" to ('

lak"

(.46%&5 .'%'/' .''' (./4(( (.6)64

/ lak" to 5

lak"

(./&5/' .'%5// .&''. (.'333 (.5(&(

7elo, / lak" -.53(/5

.(((// .6%' -.%46) -./(56

7elo, / lak" 5 lak" to ('

lak"

/.''''' .('&)6 .''' (.6)36 /.3'64

/ lak" to 5

lak"

(.%'645 .(((&4 .&'' (.4%)3 /.(/36

a7o:e ('

lak"

.53(/5 .(((// .6' ./(56 .%46)

. !"e mean difference is significant at t"e '.'5 le:el.

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C7II S84ARE TEST

8+( E$ct of "nco%$ occuat"on g$n&$r an& ag$ on onl"n$

!ho"ng fr$6u$nc!

Inco%$

N*ll H'+othesis H6 There is no relationshi+ %et&een income and

fre<*enc' of online sho++in(!

Alternate H'+othesis H0 Online sho++in( fre<*enc' is si(ni.cantl'

in=*enced %' income of the sho++er!

Th$ follo#"ng #$r$ th$ r$!ult! o'ta"n$& "n S)SS9

Crossta

$ount

=ncome !otal

/ 3 4 (

S"opping>req

/ (5 (& (6 6 54

( (( (3 % % 4'

3 5 (' % ( /4

!otal 3( 4' 3/ (5 ((%

Chi-Square Tests

1alue df Asymp. Sig. 2/-

sided

+earson $"i-Square 5./5&a 6 .5((

ikeli"ood atio 5.545 6 .4&6


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>rom the Chi:s<*are test &e can see that the Pearson Chi:s<*are

)al*e?2 sided@ is (reater than !628 ?2@ so &e cannot reect

the n*ll h'+othesis!

Occuat"on

N*ll H'+othesis H6 There is no relationshi+ %et&een occ*+ation and



in=*enced %' occ*+ation of the sho++er!


Crossta

$ount

Occupation !otal

7ussiness / 3 (

S"opping>req

/ ' /( / 3( 54

( ( (( 4 /4 4'

3 ' (4 ( ) /4

!otal ( 46 & 64 ((%

Chi-Square Tests


sided

+earson $"i-Square %.%%&a 6 .(%'

ikeli"ood atio %.)%4 6 .(&5


Pa(e 12 of 20




)al*e?2 sided@ is (reater than !628 ?2@ so &e cannot reect


$n&$r

N*ll H'+othesis H6 There is no relationshi+ %et&een (ender and



in=*enced %' (ender of the sho++er!

Th$ follo#"ng #$r$ th$ r$!ult!

o'ta"n$& "n S)SS9 Crossta

$ount

;ender !otal

/ (

S"opping>req

/ /3 3( 54

( (4 /6 4'

3 (' (4 /4

!otal 4& &( ((%

Chi-Square Tests


sided

+earson $"i-Square .5)5a / .&43

ikeli"ood atio .6'' / .&4(



)al*e?2 sided@ is (retare than !628 ?2@ so &e can not reect


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Ag$

N*ll H'+othesis H6 There is no relationshi+ %et&een a(e and


Alternate H'+othesis H0 Online sho++in( fre<*enc' is si(ni.cantl'in=*enced %' a(e of the sho++er!


Crossta

$ount

Age !otal

( / 3 4

S"opping>req

/ 45 & / ' 54

( 3/ & ( ' 4'

3 (5 4 3 / /4

!otal )/ (% 6 / ((%

Chi-Square Tests


sided

+earson $"i-Square (/.463a 6 .'5/

ikeli"ood atio ('.43) 6 .('&



)al*e?2 sided@ is (retare than !628 ?2@ so &e can not reect


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FACTOR ANALYSIS

8/ Through factor anal!"! #$ rat$ th$ factor! !af$t $a!$ of

a%$nt >no#l$&g$ of u!"ng an& fr$6u$nc of u!"ngD

#h"ch cu!to%$r! con!"&$r #h"l$ u!"ng %o'"l$ #all$t!(



Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .635

Bartletts !est of Sp"ericity Appro#. $"i-Square 5%.&%6

df 6

Sig. .'''

Component Matrixa

$omponent

(

Safety .5)(

*aseOf+ayment .&5)

Kno,ledgeOfsing .%(%

requencyOfsing .5/3

*#traction Met"od0 +rincipal

$omponent Analysis.

a. ( components e#tracted.

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Ch" S6uar$ r$!ult!9

Chi-Square Tests

1alue df

Asymp. Sig. 2/-

sided

+earson $"i-Square (&.(4%a ) .'46

ikeli"ood atio (&./(( ) .'46

inear-7y-inear Association 3.55& ( .'5)


a. (' cells 26/.59 "a:e e#pected count less t"an 5. !"e minimum

e#pected count is ./%.

A! #$ !$$ th$ !"gn":canc$ -alu$ "! 0(0*/ #h"ch "! l$!! than

0(0+( Th$r$for$ #$ r$?$ct 70( Th$r$for$ th$r$ "! a

r$lat"on!h" '$t#$$n a $r!on;! 6ual":cat"on an& th$

a%$nt !!t$% u!$&(

85 Through factor anal!"! #$ rat$ th$ factor! l">$ ca!h 'ac>

&"!count cr$&"t o"nt fr$$'"$! an& oth$r!D #h"ch

"nu$nc$ th$ u!$r! cho"c$ of %o'"l$ #all$t(



Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .6%4

Bartletts !est of Sp"ericity

Appro#. $"i-Square /'5.436

df ('

Sig. .'''

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Communalities

=nitial *#traction

$as">7ack (.''' .&)5

@iscount (.''' .&&4

$redit>point (.''' .&45

ree7ies (.''' .&%'

Ot"er (.''' .&65

*#traction Met"od0 +rincipal $omponent

Analysis.

Total Varian!e "xplained

$omponent =nitial *igen:alues *#traction Sums of Squared oadings

!otal 9 of 1ariance $umulati:e 9 !otal 9 of 1ariance $umulati:e 9

( /.5)3 5(.%66 5(.%66 /.5)3 5(.%66 5(.%66

/ (./66 /5.3/' &&.(%& (./66 /5.3/' &&.(%&

3 .4&& ).544 %6.&3'

4 .3)4 &.%%) )4.6()

5 ./6) 5.3%( (''.'''

*#traction Met"od0 +rincipal $omponent Analysis.

Pa(e 15 of 20



Component Matrixa

$omponent

+romotional

offers

Ot"ers

$as">7ack .6&5 -.5%/

@iscount .6)6 -.53%

$redit>point .%44 .(%(

ree7ies .%/% .3'&

Ot"er .5'5 .&(5

*#traction Met"od0 +rincipal

$omponent Analysis.

a. / components e#tracted.

>rom the MO anal'sis &e can see that the aiser:Me'er:

Olin Meas*re of Sam+lin( Ade<*ac' is 6!F;5 i!e! (reater than

6!8! Also from the comm*nalities ta%le &e can see that all theextraction )al*es are (reater than 6!F i!e! si(ni.cant! So &e can

+roceed for factor anal'sis! >rom the Total Gariance Ex+lained

ta%le and Scree +lot &e can see that 44!0;41 of the

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information can %e ex+lained %' 2 extracti)e factors and the

res*lt can %e cl*%%ed to 2 s*%sets! >rom the com+onent matrix

&e can name the com+onents as 1( )ro%ot"onal o$r!

Cash %ac,- disco*nt- credit +oint and free%ies! Amon( these

cash %ac,- credit +oint and free%ies ha)e )al*es (reater than

6!; i!e! these are more in=*ential! Disco*nt has )al*e less than

6!;- so this is less in=*ential!

2( Oth$r! others!

Pa(e 20 of 20

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Mobile Wallet Usage in India