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Gender and preferences for personal contact: key variables in the Internet Banking use by elderly people.

Abstract

The analysis of the services offered by the Internet Banking and the response of clients to these services constitute a powerful tool for the success in this market. In the case of elders, the population is heterogeneous and the understanding of differences in responses and behaviours is the basis for any good strategic development driven to the personalization of the service. The present study aims to analyse the gender gap in the use of Internet Baking and preferences for personal contact in the grey market as key variables in the explanation of the frequency of use of ten services regularly offered by the Internet banking. A sample of 415 individuals older than 55 years has been analysed. Results show the existence of a gender gap in the frequency of use, being women sporadic users compared to men. In addition, we found out how the level of autonomy in the preference for personal contact dilute gender differences for some services.

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Gender and preferences for personal contact: key variables in the Internet Banking use by elderly people.

Author: Ramón Jerónimo, Mª Ángeles; Peral Peral, Begoña; Villarejo Ramos, Ángel Francisco
Year: 2013
Source: https://idus.us.es/bitstreams/54fd9112-421c-463f-abb6-802686f05c6b/download
Gende and p e e ences o pe sonal con ac : key a iables in he
In e ne Banking use by elde ly people.
MARIA ANGELES RAMÓN-JERÓNIMO
Depa men Business Adminis a ion and Ma ke ing
Pablo de Ola ide Uni e si y, C a. de U e a, km. 1 41013, Se ille
SPAIN
[email p o ec ed]
BEGOÑA PERAL-PERAL
ANGEL FCO. VILLAREJO-RAMOS
Depa men Business Managemen and Ma ke ing
Uni e si y o Se ille A . Ramón y Cajal, 1, 41018 Se ille
SPAIN
[email p o ec ed], [email p o ec ed]
Abs ac : - The analysis o he se ices o e ed by he In e ne Banking and he esponse o clien s o hese
se ices cons i u e a powe ul ool o he success in his ma ke . In he case o elde s, he popula ion is
he e ogeneous and he unde s anding o di e ences in esponses and beha iou s is he basis o any good
s a egic de elopmen d i en o he pe sonaliza ion o he se ice. The p esen s udy aims o analyse he gende
gap in he use o In e ne Baking and p e e ences o pe sonal con ac in he g ey ma ke as key a iables in he
explana ion o he equency o use o en se ices egula ly o e ed by he In e ne banking. A sample o 415
indi iduals olde han 55 yea s has been analysed. Resul s show he exis ence o a gende gap in he equency
o use, being women spo adic use s compa ed o men. In addi ion, we ound ou how he le el o au onomy in
he p e e ence o pe sonal con ac dilu e gende di e ences o some se ices.
Key-Wo ds: - elde ly, In e ne banking, gende gap, pe sonal con ac .
2
INTRODUCTION
Elec onic banking is one o he mos success ul business- o-consume applica ions in elec onic
comme ce [1]. In e ne banking (IB) is a channel ha allows consume s o pe o m a wide ange
o inancial and non- inancial se ices h ough a bank's websi e [2]. IB has eme ged as one o
he mos p o i able e-comme ce applica ions along he las decade [3, 4]. Mo eo e , IB
cus ome s a e he mos in e es ing o banks [5], showing an inc eased sa is ac ion, mo e
posi i e wo d-o -mou h communica ions and he lowes in en ion o change o o he inancial
ins i u ions [6]. Howe e , al hough he g ow h om 2008 o 2012 is no iceable (31% o Eu ope
and 60% o Spain) no e e yone uses IB: a 38% o he popula ion aged om 16 o 74 yea s in
Eu ope and only a 32% in Spain. Bu age is no he single socio demog aphic a iable
explaining di e ences in UE coun ies; i is also possible o cap u e hese di e ences in he use
o IB ac oss gende s. (Figu e 1) [7].
Figu e1. Pe cen ages o IB use s in UE (27) and in Spain by gende (2005-2012).
Se e al s udies ha e documen ed he a ac i eness in he inancial s a us o he g ey ma ke .
Managing he g ey ma ke is one o he ho opics in elec onic banking oday. Re i emen can
dec ease household income, howe e , he income pe membe o he household does no
dec ease ha much since he child en has usually al eady mo ed away. Thus, ma u e consume s
ha e signi ican pu chasing powe bu also a need o ca e ully managing hei asse s along hei
li espan, making he 55-plus segmen ex emely luc a i e o he inancial se ice p o ide s.
Ma u e consume s a e becoming amilia wi h echnology such as compu e s, In e ne and
mobile phones.
Ma ke e s oo o en s e eo ype olde consume s and igno e hem in hei ma ke ing ac ions [8].
Elde s p esen a high he e ogenei y [9, 10] in hei pu chase beha iou making necessa y o
design s a egies cap u ing his he e ogenei y o co ec ly d i e ma ke ing ac ions o he g ey
ma ke . Fo hese easons, his wo k ies o analyse i gende and p e e ences o pe sonal
con ac wi h banks’ s a in luences IB use. Finding ou hese di e ences would allow banks o
iden i y p one clien s o use IB and adap hei s a egies h ough he pe sonaliza ion o he
se ice.
INTERNET BANKING USE
Some au ho s [11, 12, 13] show demog aphic a iables a ec ing IB use, al hough mos o he
indings poin o a iables such as gende , age, income, le el o educa ion, occupa ion o amily
size a ec ing IB use [14, 15, 9] o he ac o s could be help ul de ec ing exis ing segmen s
ega ding IB use: geog aphical and psychological c i e ia [16, 17], a i udes, expec ed bene i s
[18] o he pe cep ion o he secu i y and p i acy isks [19, 15]. In addi ion, he p ope y o
inancial p oduc s and pe cep ions and a i udes owa ds ecei ed se ices and In e ne as a
inancial dis ibu ion channel [13], banking ansac ions conduc ed by clien s [20] o he numbe
0
5
10
15
20
25
30
35
40
45
2005200620072008200920102011
EU (27) Males
Spain Males
EU (27) Females
Spain Females
3
o banks used by cus ome , acqui ed bank p oduc s and he equency o use [21] a e c i e ia
ha ha e been also analysed o explain IB use.
Rega ding elde ly and echnology and al hough hey a e no a homogeneous segmen o banking
ma ke , a s e eo yped p o ile o olde pe sons has been used [9]. Fo his eason, ou wo k aims
o analyse he use o IB se ices in he elde ly segmen , analysing gende and he p e e ence o
pe sonal con ac in banking.
Fi s ly, conce ning gende and In e ne use, i has been sugges ed ha echnology adop ion
di e s be ween males and emales. Men end o be mo e ask-o ien a ed [22], sys ems-
o ien a ed [23] and mo e willing o ake isks han women [24].
Men’s decisions o use a compu e sys em could be conside ed mo e in luenced by he
pe cei ed use ulness while women’s decisions would be in luenced by he ease o use o he
sys em [25] and he e may be gende di e ences in he mo i a ion, du a ion and enjoymen as e-
consume s [26]. Gi en ha emales ha e adi ionally exp essed mo e nega i e a i udes and
g ea e le els o anxie y owa d compu e s han males [27], less sel -pe cei ed compe ence and
a lowe ease o use wi h espec o he In e ne [28], i seems easonable o conside ha In e ne
banking use may be depend on gende . The e o e, we expec ha olde women use In e ne
banking less han men.
Secondly, some people p e e echnology-enabled se ices be p o ided p ecisely because i
elimina es he need o pe sonal con ac and in e ac ion wi h se ice pe sonnel and o he
cus ome s and e en hey ind i enjoyable [29, 30]. O he s, howe e , p e e o deal o in e ac
wi h people a he han machines, which a e o en hough o be impe sonal and incapable o
p o iding a pe sonalized se ice [31, 32]. Fo his, i is easonable o expec ha cus ome s who
desi e pe sonal in e ac ion wi h he bank may be eluc an o adop and use echnologically
acili a ed means o se ice p o ision, simply o hei p e e ence owa d he pe sonal elemen
and he oppo uni y o social in e ac ion [33, 34]. Desi e o pe sonal con ac does ha e nega i e
impac on usage o in e ne banking [29], while “sel -su icien ” inancial cus ome s, p e e ing
o make hei inancial decisions on hei own, wi hou need o ad ice om hei inancial
en i ies, a e mo e likely o use he In e ne o banking ansac ions [35]. The e o e, we expec
ha elde ly wi h high p e e ences o pe sonal con ac use IB less han sel -su icien ones.
METHODOLOGY
Da a we e collec ed h ough a su ey du ing he mon hs o No embe and Decembe 2012
using s uden s o e 55 yea s hold en olled in he “Expe ienced Class oom” ini ia i e in a
Uni e si y in he Sou h o Eu ope. The numbe o alid su eys was 415 wi h a p opo ion o
women o 62.5%. The a e age age was 63.6. Mos o hem had seconda y s udies 54.2%, and
uni e si y s udies 36.1% and socioeconomic class was mos ly middle class 80.2%.
We employed scales es ed in p e ious esea ch o measu e p e e ences o pe sonal con ac
[29] and IB use [36]. These i ems we e ancho ed on a 7-poin Like scale (1 = s ongly
disag ee; 7 = s ongly ag ee). The In e ne banking se ices’ concep was measu ed using an
exis ing scale [33]: S1- Check he balance o my accoun s; S2- T ans e unds be ween
accoun s; S3- Make paymen s (c edi ca d, elephony and elec ici y bills, o he paymen s); S4-
T ans e unds om my accoun o o he pe son’s accoun ; S5- Ge in o ma ion on my
in es men po olio (sha es, mu ual unds); S6- T ade sha es and check he s a us o my o de ;
S7- Ge in o ma ion on di e en ypes o loans; S8- Ge an upda e on my exis ing inancing
loan(s); S9- Apply o a inancial se ice; S10- Con ac my bank o answe a ques ion. Use
equency o each se ice desc ibed was ancho ed by: no use, unde 5 imes a yea , be ween 6
and 11 imes a yea , once a mon h, se e al imes a mon h, se e al imes a week, once o mo e
imes a day. To elimina e possible ambigui ies in he ques ionnai e, i was pilo ed using se en
olde adul olun ee s.
4
To assess he cons uc s, we conduc ed a con i ma o y ac o analysis (CFA) using PLS wi h
Sma PLS 2.0.M3 [37]. Based on he CFA esul s, we analyzed con e gen alidi y,
disc iminan alidi y, and he eliabili y o all he mul iple-i em scales [38] (Table 1).
Composi e ac o sco es we e calcula ed o pe o m u he analysis.
Table 1. Reliabili y and Validi y
Cons uc
I ems
Loadings
Pe sonal con ac
AVE: 0.761
Composi e eliabili y: 0.927
C onbach’s Alpha:0.896
I p e e o deal ace- o- ace wi h cus ome se ice people
0.869
I am mo e eassu ed by dealing ace- o- ace wi h cus ome
se ice people
0.904
I like o communica e wi h people when se ices a e being
p o ided
0.817
I eel like I’m mo e in con ol when dealing wi h cus ome
se ice people han wi h au oma ed sys ems
0.897
Use
AVE: 0.848
Composi e eliabili y: 0.943
C onbach’s Alpha: 0.911
I use he In e ne banking equen ly
0.915
I expend a lo o ime using In e ne banking
0.918
I am e y in ol ed wi h he In e ne banking
0.931
RESULTS
The use o con ingency ables is he basic echnique o examining he dependence be ween wo
ca ego ical a iables. We analyse i IB use, in gene al, and i he equency o use o online
bank se ices a e independen om gende . In addi ion, we examine i he e a e di e ences in
he p e e ences o dealing wi h bank s a conside ing gende .
As i is shown in able 2, he wo-sided asymp o ic signi icance o he chi-squa e s a is ic was
lowe han 0.01 o all he bank se ices analysed. Showing e idence o he exis ence o
dependence be ween gende and IB use and gende and he equency o each bank se ices.
Men ha e, on a e age, highe equency o use han women. Rega ding he p e e ences o
con ac wi h bank s a , women ha e highe a e age alues han men (5.395 s. 4.752) (see
Table 2).
Table 2. Chi-squa e s a is ics, di e ences ac oss gende s
Chi-Squa e
(Asymp Sig.)
Mean o
equencies
Men - Women
S1- Check he balance o my accoun s
38.081 (.000)
4.56 - 3.38
S2- T ans e unds be ween accoun s
34.356 (.000)
3.12 - 2.22
S3- Make paymen s (c edi ca d, elephony and elec ici y
bills, o he paymen s)
23.381 (.001)
2.78 - 2.01
S4- T ans e unds om my accoun o o he pe son’s
accoun
29.460 (.000)
2.77 - 2.12
S5- Ge in o ma ion on my in es men po olio (sha es,
mu ual unds)
24.866 (.000)
2.89 - 2.21
S6- T ade sha es and check he s a us o my o de
32.298 (.000)
2.27 - 1.65
5
S7- Ge in o ma ion on di e en ypes o loans
27.043 (.000)
2.3 - 1.66
S8- Ge an upda e on my exis ing inancing loan(s)
23.186 (.000)
1.74 - 1.37
S9- Apply o a inancial se ice
26.289 (.000)
1.83 - 1.45
S10- Con ac my bank o answe a ques ion
18.841(.004)
2.37 - 2.28
USE_MED
51.372 (.000)
3.376 - 2.488
PC_MED (Pe sonal Con ac )
69.524 (.000)
4.752 - 5.395
Wi h espec o he symme ic measu es (phi, C ame ´s V and con ingency coe icien ), he
s a is ics indica ed a s a is ically signi ican ela ionship and he alues o all h ee measu es
eached alues om 0.243 o 0.417, showing s ong ela ionships among he cons uc s unde
analysis.
We analyse he dependence among p e e ence o pe sonal con ac and he equency o use o
online banking se ices, bo h o dinal a iables. As esul o he Gamma analysis, he
dependence be ween p e e ence o pe sonal con ac and he equency o use o online banking
se ices is shown being he pa ame e s s a is ically signi ican bu nega i e indica ing ha he
g ea e is he p e e ence o deal wi h bank s a , he lowe equency o online banking and IB
use a e (Table 3).
Table 3. Symme ic measu es
Gamma
(Asymp Sig.)
Kendall´s
Tau c
(Asymp Sig.)
S1- Check he balance o my accoun s
-.261 (.000)
-.222 (.000)
S2- T ans e unds be ween accoun s
-.368 (.000)
-.269 (.000)
S3- Make paymen s (c edi ca d, elephony and elec ici y
bills, o he paymen s)
-.287 (.000)
-.179 (.000)
S4- T ans e unds om my accoun o o he pe son’s
accoun
-.358 (.000)
-.245 (.000)
S5- Ge in o ma ion on my in es men po olio (sha es,
mu ual unds)
-.234 (.000)
-.149 (.000)
S6- T ade sha es and check he s a us o my o de
-.285 (.000)
-.146 (.000)
S7- Ge in o ma ion on di e en ypes o loans
-.227 (.000)
-.125 (.000)
S8- Ge an upda e on my exis ing inancing loan(s)
-.292 (.000)
-.117 (.000)
S9- Apply o a inancial se ice
-.285 (.000)
-.127 (.000)
S10- Con ac my bank o answe a ques ion
-.166 (.001)
-.113 (.001)
USE_MED
-.410 (.000)
-.321 (.000)
O he ques ion analysed is he possible exis ence o dependence be ween he p e e ences o
pe sonalized a en ion and gende o he esponden and he a iables o IB use and equency o
use o se ices online. Fo his eason, we use he a iable pe sonal con ac o di ide he sample
in o wo pa s: hose who p e e o be sel -su icien o au onomous (pe sonal con ac alues 1
o 4) and hose who p e e o deal di ec ly wi h he s a o he bank ( alues 5 o 7). The chi-
squa e es was pe o med sepa a ely o bo h g oups.
Resul s indica e ha o six o he online bank se ices gende and equency o use a e ela ed,
independen ly om i he pe son p e e s o no o deal wi h s a bank. Howe e , o ou o he
se ices: SERV5- Ge in o ma ion on my in es men po olio; SERV8- Ge an upda e on my
exis ing inancing loan(s); SERV9- Apply o a inancial se ice and SERV10- Con ac my
bank o answe a ques ion), elde s who en olding he g oup o sel -su icien in hei inancial
decisions, p esen ed no di e ences among men and women. In addi ion, di e ences in he

6
equency o use o online banking se ices depending on gende o elde s p e e ing o deal
wi h bank employees we e s a is ical signi ican .
DISCUSSION, LIMITATIONS AND FURTHER RESEARCH
The In e ne banking o e s ad an ages o elde s, 24 hou s access, e sa ili y, independence
and he possibili y o o e come he physical ba ie s o he age in he access o se ices.
Howe e , he g ey ma ke p esen s a lack o adap a ion and s ill emains in he call o a
pe sonal a en ion. The In e ne banking has changed he ype o ela ionship be ween clien s
and banks. T adi ionally, his ela ionship was based on he physical p esence o bo h, clien and
s a . Today, in con as , i is possible o manage accoun s and all o he se ices online ha ing
he oppo uni y o compa e di e en p o ide s quickly and easily. In his ma ke , banks need o
be e unde s and he new ype o ela ionship ha he use o In e ne gene a es and how o
ope a e. The u u e o he In e ne bank is in he ype o se ices o e ed and in he way hey
in e ac wi h clien s sa is ying hei needs. In his line, i seems easonable o conside ha he
success could be in he pe sonaliza ion o se ices o a ac i e segmen s.
The elde ly cons i u e a g owing segmen oday and p esen s di e en cha ac e is ics om he
es o he popula ion (mo e ee ime, g ea e eedom in hei economic and inancial
decisions, and less use o In e ne and o he ICTs). Howe e , hey do no cons i u e a
homogeneous segmen [39]. In ac , he p esen wo k shows he exis ing gende gap desc ibed
in he eal dependence among he In e ne Banking use and gende . Speci ically all he In e ne
Banking se ices analysed p esen ed signi ican di e ences among gende s, being used in a
highe ex en by men han women. An explana ion o hese di e ences could a ise om he
p e e ence o women o pe sonal con ac . In he sample analysed woman p esen ed highe
mean alues o his p e e ence and, as i is shown in ou esul s, p e e ence o pe sonal con ac
seems o be nega i ely ela ed o he use o In e ne Banking se ices. Women p e e a pe sonal
con ac in he IB showing a p e e ence o pe sonal sou ces o in o ma ion and lowe isks.
A deepe analysis, di e en ia ing be ween au onomous and dependen clien s -who p esen low
and high le els o pe sonal con ac p e e ences espec i ely- show how au onomous ge
in o ma ion, in e ac and apply o a se ice independen ly om gende . Main aining he gende
di e ences obse ed in he comple e sample o he es o he se ices.
How o pe sonalize se ices o elde s? Rega ding he esul s p esen ed in his pape , a i s idea
comes om he gende gap, i seems app op ia e di e en ia e he o e among gende s. Females
p e e highe le els o secu i y and pe sonal con ac , hen companies in e es ed in his segmen
mus p epa e hei Web o he in e ac ion o hem. Webs cons i u e he only communica ion
channel in his case and designs mus i he p esence o au onomous and dependen elde
people. Au onomous mus eel a simila expe ience o he pe sonal con ac and he secu i y and
assis ance p o ided by he absence o s a mus be compensa ed by design, unc ionali y,
a ailable in o ma ion and ease o use. Women show his need o a en ion in a highe ex en .
Banks mus analyse all he cu en da a hey ha e abou ela ionships wi h elde s om di e en
gende s o pe sonalize he o e o hem changing he se ice om he concep o segmen a ion
o pe sonaliza ion. Th ough he pe sonaliza ion based in da a analysis, banks can ein o ce he
in e ac ion wi h clien s in manne s no achie ed by he pe sonal con ac because se ices can be
o e ed in a cheape , as e and be e manne . Banks ying o a ac he a en ion o elde s
owa d he In e ne banking mus conside o d i e hei o e speci ically o hem, ai hem as
people mo e han a segmen and pe sonalize he se ice h ough he In e ne .
This wo k mus be conside ed as a i s s ep in he unde s anding o he g ey In e ne banking.
Fu he esea ch could pe secu e mo e ambi ious objec i es o compensa e he limi a ions o his
esea ch. Fi s , he di icul y o collec da a om elde s d o e us o hose membe s o he
popula ion ha we e a ou disposal, being ou sample collec ed wi hou conside a p obabilis ic
app oach. Al hough he sample is di e se and he p opo ion o socio demog aphics p esen in
he popula ion is consis en wi h he dis ibu ion o he sample used, con enience sample mus
be unde s ood as a i s app oach calling o a deepe analysis o his g oup. Secondly, he
concep s analysed in his pape a e only a na ow ision o he complex phenomena o In e ne
7
banking o elde s. Many o he a iables could be help ul in he unde s anding o he g ey
ma ke beha iou s, o ins ance psychological a iables as hose appea ing in TAM2 [40] o
TAM3 [41] o concep s such as sel -con idence, ole ance o isk and so on. Fu he esea ch
could deeply analyse he psychological p o i o elde s using In e ne
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Acknowledgemen s
The ini ia i e Andalusia P ojec s o Excellence has inanced his esea ch h ough he p ojec
P09-SEJ-4568. We wan also o hanks he collabo a ion o Rosa Mª A ila and he Class oom
Expe ience a he Uni e si y o Se ille in he da a collec ion.