scieee Open visual document viewer

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

Ramón Jerónimo, Mª Ángeles; Peral Peral, Begoña; Villarejo Ramos, Ángel Francisco

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.

Full text

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 REFERENCES [1] Al-Jab i, I.M. & Sohail, M.S., Mobile Banking Adop ion: Applica ion o Di usion o Inno a ion Theo y, Jou nal o Elec onic Comme ce Resea ch, Vol.13, No. 4, 2012, pp. 379- 391 [2] Hoehle, H., Scoma acca, E. & Hu , S., Th ee decades o esea ch on consume adop ion and u iliza ion o elec onic banking channels: A li e a u e analysis, Decision Suppo Sys ems, Vol.54, 2012, pp.122–132. [3] Lee, M.Ch., Fac o s in luencing he adop ion o in e ne banking: An in eg a ion o TAM and TPB wi h pe cei ed isk and pe cei ed bene i , Elec onic Comme ce Resea ch and Applica ions, Vol. 8, 2009, pp. 130–141. [4] Yuen Y.Y., Yeow P.H.P., Lim N. & Saylani N., In e ne Banking Adop ion: Compa ing De eloped and De eloping Coun ies, The Jou nal o Compu e In o ma ion Sys ems, Vol. 51, No. 1, 2010, pp.52-61. [5] Pikka ainen T, Pikka ainen K, Ka jaluo o H, & Pahnila S., Consume accep ance o online banking: an ex ension o he echnology accep ance model, In e ne Resea ch: Elec onic Ne wo king, Applica ions and Policy, Vol. 14, No. 3, 2004, pp. 224–35. [6] Mols NP, The In e ne and he banks' s a egic dis ibu ion channel decisions, In e na ional Jou nal o Bank Ma ke ing, Vol. 17, No. 6, 1999, pp. 295–300. [7] Eu os a (2013), Indi iduals using he In e ne o In e ne banking. h p://epp.eu os a .ec.eu opa.eu/ gm/ able.do? ab= able&plugin=1&language=en&pcode= in000 99 [8] Laukkanen T., Sinkkonen S., Ki ija i M. & Laukkanen P., Inno a ion esis ance among ma u e consume s, Jou nal o Consume Ma ke ing, Vol.24, No. 7, 2007, pp.419–427. [9] Ma ila M., Ka jaluo o H. & Pen o T., In e ne banking adop ion among ma u e cus ome s: Ea ly majo i y o lagga ds?, The Jou nal o Se ices Ma ke ing, Vol.17, No. 4/5, 2003, pp.514- 526. [10] Mumel D. & P odnik J., G ey consume s a e all he same, hey e en d ess he same - my h o eali y?, Jou nal o Fashion Ma ke ing and Managemen , Vol.9, No. 4, 2005, pp.434-449. [11] Du kin, M., In sea ch o he in e ne -banking cus ome : Explo ing he use o decision s yle, In e na ional Jou nal o Bank Ma ke ing, Vol. 22, No. 6/7, 2004, 484–503. [12] Lassa WM, Manolis C, & Lassa SS. The ela ionship be ween consume inno a i eness, pe sonal cha ac e is ics, and online banking adop ion. In e na ional Jou nal o Bank Ma ke ing Vol. 23, No. 2, 2005, pp. 179–99. [13] Ma ínez-Gue e o M, O ega-Egea JM, & Román-González MV., P o iling he adop ion o online banking sys ems in he Eu opean Union, Jou nal o In e ne Business, Vol. 2, 2005, pp. 1–29. [14] Ding, X., Ve ma, R. & Iqbal, Z., Sel -se ice echnology and online inancial se ice choice, In e na ional Jou nal o Se ice Indus y Managemen , Vol. 18, No. 3, 2007, pp. 246- 68. [15] Howc o B, Hamil on R, & Hewe P., Consume a i ude and he usage and adop ion o home-based banking in he Uni ed Kingdom, In e na ional Jou nal o Bank Ma ke ing, Vol. 20, No. 3, 2002, pp. 111–121. [16] Gouna is, S., & Ko i os, C., In es iga ing he d i e s o in e ne banking adop ion decision A compa ison o h ee al e na i e amewo ks, In e na ional Jou nal o Bank Ma ke ing, Vol. 26, No. 5, 2008, pp. 282-304. 8 [17] Kaynak, E., & Ha ca , T.D., Ame ican consume ’s a i udes owa ds comme cial banks. A compa ison o local and na ional bank cus ome s by use o geodemog aphic segmen a ion. In e na ional Jou nal o Bank Ma ke ing, Vol. 23, No. 1, 2005, pp. 73–89. [18] Machaue A, & Mo gne S., Segmen a ion o bank cus ome s by expec ed bene i s and a i udes, In e na ional Jou nal o Bank Ma ke ing, Vol.19, No. 1, 2001, pp. 6–18. [19] Chen LD, Gillenson ML, & She ell DL, En icing online consume s: an ex ended echnology accep ance pe spec i e, In o ma ion Managemen , Vol. 39, No. 8, 2002, pp. 705– 719. [20] Zucca o, C. & Sa a d, M., Hyb id segmen a ion o in e ne banking use s, Jou nal o Bank Ma ke ing, Vol. 28 No. 6, 2010, pp. 448-464 [21] Dimi iadis, S., Kou emenos, A. & Ky ezis, N., T us -based segmen a ion. P elimina y e idence om echnology-enabled bank channels, In e na ional Jou nal o Bank Ma ke ing, Vol. 29 No. 1, 2011, pp. 5-31. [22] Min on, H. L., Schneide , F. W., Di e en ial psychology. P ospec Heigh s, IL: Wa eland P ess, 1980. [23] Ba on-Cohen, S., The Essen ial Di e ence: Men, Women and he Ex eme Male B ain. Penguin, London, 2004. [24] Powell, M., & Ansic, D., Gende di e ences in isk beha iou in inancial decision- making: an expe imen al analysis. Jou nal o Economic Psychology, Vol.18 (6), 1997, pp.605- 28. [25] Venka esh, V., & Mo is, M. G., Why don' men e e s op o ask o di ec ions? Gende , social in luence, and hei ole in echnology accep ance and usage beha io . MIS Qua e ly , Vol. 24 (1), 2000, pp. 115-139. [26] McCloskey, D., The Impo ance o Ease o Use, Use ulness, and T us o Online Consume s: An Examina ion o he Technology Accep ance Model wi h Olde Consume s. Jou nal o O ganiza ional and End Use Compu ing, Vol. 18 (3), 2006, pp. 47-65. [27] Nayak, L., P ies , L., S ua -Hamil on, I., & Whi e, A., Websi e design a ibu es o e ie ing heal h in o ma ion by olde adul s: An applica ion o a chi ec u al c i e ia. Uni e sal Access in he In o ma ion Socie y, Vol. 5, 2006, pp. 170-179. [28] Wood, E., Lanuza, C. , Baciu, I., MacKenzie, M., & Nosko, A., Ins uc ional S yles, A i udes and Expe iences o Senio s in Compu e Wo kshops. Educa ional Ge on ology, Vol. 36 (10-11), 2010, pp. 834-857. [29] Walke , R.H., & Johnson, L.W., Why consume s use and do no use echnology-enabled se ices. Jou nal o Se ices Ma ke ing, Vol. 20/2, 2006, pp. 125–135. [30] Cu an, J.M., Meu e , M.L., & Su p enan , C.F., In en ions o use sel -se ice echnologies: a con luence o mul iple a i udes, Jou nal o Se ice Resea ch, Vol. 5 No. 3, 2003, pp. 209-24. [31] Dabholka , P.A., & Bagozzi, R.P., An a i udinal model o echnology-based sel se ice: mode a ing e ec s o consume ai s and si ua ional ac o s, Jou nal o he Academy o Ma ke ing Science, Vol. 30 No. 3, 2002, pp. 184-201. [32] Walke , R.H., C aig-Lees, M., Hecke , R., & F ancis, H., Technology-enabled se ice deli e y: an in es iga ion o easons a ec ing cus ome adop ion and ejec ion, In e na ional Jou nal o Se ice Indus y Managemen , Vol. 13 No. 1, 2002, pp. 91-106. [33] Pa sio is, A.G., Hughes, T., & Webbe , D. J., Adop e s and non-adop e s o in e ne banking: a segmen a ion s udy, In e na ional Jou nal o Bank Ma ke ing, Vol. 30, No. 1, 2012, pp. 20 – 42. [34] Cu an, J.M., & Meu e , M.L., Sel -se ice echnology adop ion: compa ing h ee echnologies, Jou nal o Se ices Ma ke ing, Vol. 19, No. 2, 2005, pp. 103-13. [35] Ma ínez Gue e o M, O ega Egea JM, & Román González MV, P o iling he adop ion o online banking sys ems in he Eu opean Union. Jou nal o In e ne Business, Vol. 2, 2005, pp. 1–29. [36] Kwon, O. & Wen, Y., An empi ical s udy o he ac o s a ec ing social ne wo k se ice use, Compu e s in Human Beha io , Vol. 26, 2010, pp.254-263. [37] Ringle, C. M., Wende, S., & Will, A., Sma PLS 2.0 (M3), Hambu g, 2005 h p://www.sma pls.de. 9 [38] Fo nell, C., & La cke , D., E alua ing s uc u al equa ion models wi h unobse able a iables and measu emen e o , Jou nal o Ma ke ing Resea ch, Vol. 18, No. 1, 1981, pp. 39- 50. [39] Ramon-Je onimo, M.A., Pe al-Pe al, B. & A enas-Gai án, J., Elde ly Pe sons and In e ne Use, Social Science Compu e Re iew doi:10.1177/0894439312473421, i s published on Feb ua y 7, 2013. [40] Venka esh, V., & Da is, F. D., A heo e ical ex ension o he echnology accep ance model: ou longi udinal ield s udies. Managemen Science, Vol. 46, 2000, pp. 186–220. [41] Venka esh, V., & Bala, H., Technology accep ance model 3 and a esea ch Agenda on In e en ions. Decision Sciences, Vol. 39(2), 2008, pp. 273–315. 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.