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The Cognitive and Affective Experiences, Customer Satisfaction and Trust, and the Loyalty Journey in Technology-Mediated Banking Services

Author: Mgiba, Freddy; Ndlazi, Nontsikelelo
Publisher: Zenodo
DOI: 10.5281/zenodo.17341775
Source: https://zenodo.org/records/17341775/files/RMR21-2-125-149.pdf
ABSTRACT
The Cogni i e and A ec i e Expe iences,
Cus ome Sa is ac ion and T us , and he
Loyal y Jou ney in Technology-Media ed
Banking Se ices
F eddy Ma ilahimbilu Mgiba *
Ma ke ing Di ision,
School o Business Sciences,
Uni e si y o he Wi wa e s and,
Johannesbu g, Sou h A ica.
h ps://o cid.o g/0000-0002-4648-3218
[email p o ec ed]
* Co esponding au ho
Non sikelelo Ndlazi
Ma ke ing Di ision,
School o Business Sciences,
Uni e si y o he Wi wa e s and,
Johannesbu g, Sou h A ica
h ps://o cid.o g/0009-0002-1130-30348
[email p o ec ed]
The Re ail and Ma ke ing Re iew
Volume 21, Issue 2, No embe 2025, Pages 125-149
Doi: h ps://doi.o g/10.5281/zenodo.17341775
Sel -se ice echnology-based banking se ices ha e al e ed Gene a ion Z’s pe cep ions and consump ion.
Howe e , hei online in e ac ion expe iences and ou comes a e no ully unde s ood. This pape in es iga ed he impac
o cogni i e and a ec i e expe iences on sa is ac ion, us , and loyal y in en ions among Gene a ion Z cus ome s a e
using sel -se ice banking echnology in Sou h A ica. A concep ual amewo k was p oposed and es ed. Sma PLS
analysis con i med all he hypo heses. The esul s con i med he impac o cogni i e and a ec i e expe iences on
cus ome s’ sa is ac ion and us , and o cus ome sa is ac ion and us on loyal y in en ions. The p oposed pa ial
media ion oles o cus ome sa is ac ion and cus ome us we e con i med. The s udy con ibu es o he academic
deba e on cus ome s’ expe ience and pe cep ions o sel -se ice banking echnology and how hese impac loyal y
in en ions. I b oadens he iew o indus ies ha use simila echnologies.
Keywo ds: Banking; Cogni i e expe ience; A ec i e expe ience; Cus ome sa is ac ion; Cus ome us ; Cus ome
loyal y
The Cogni i e and A ec i e Expe iences … in Technology-Media ed Banking Se ices 126
1. INTRODUCTION
Technology is impo an o he Indus y4.0 digi al economy (Khang, Abdullaye , Hahano , and Shah, 2024),
changing he na u e o se ice, in e ac ions, and cus ome s’ se ice expe iences (Hassan, Bashee , Mi ,
and Abou Fayad, 2024). The inabili y o ha ness echnology would be unimaginable o mos people
(Pan ano, Pedelien o, and Ch is odoulides, 2022). Inc easingly, many o ganiza ions depend on echnology
o compe i i e ad an age, cus ome e en ion, e iciency, and e ec i e communica ion (Hussain,
Alabdullah, Ries, and Jamal, 2023). Fo example, echnology-based mobile banking is hugely signi ican in
oday’s banking wo ld. This indus y, acili a ed by downloadable applica ions (apps) on sma phones and
able s, has wi nessed accele a ed g ow h in ecen yea s (Sha ma, Sha ma, and Singh, 2024) and is poised
o soa o $1824.7 million expendi u e le el by 2026 (Allied Ma ke Resea ch, 2020).
Acco ding o Sha ma e al. (2024), mobile banking has a emendous impac on Gene a ion Z, he people
who g ew up alongside he ad ancemen o digi al echnology and he in e ne . This gene a ional coho is
adep a using his echnology (A i in, Aziz, Moha i, and Tah eb, 2024). Hol , Ma ques, and W ay (2012)
no e ha Gen Z elies hea ily on digi al echnology and is echnologically compe en , con iden , eam-
o ien ed, and mul i asking. Tseng, Chang, and Zhu (2024) s a e ha Gene a ion Z is g ea ly impac ed by
echnology p oduc s, such as he In e ne , ins an messaging, ex messaging, mobile phones, sma phones,
and able compu e s. I was o ecas ed ha Gene a ion Z would accoun o app oxima ely 40% o , o
ins ance, China’s en i e consump ion powe by he end o 2020 (Elena Zla ano a-Pazhe a, 2024). The
Chinese economy is closely linked o many A ican economies. Sha ma e al (2024) s a e ha Gen Z will
cons i u e a signi ican po ion o he wo k o ce by 2029. Nguyen (2024) s a es ha a ound 2.6 billion
indi iduals belong o Gene a ion Z, comp ising app oxima ely one- hi d o he wo ld popula ion. They a e
expec ed o become he mos impo an ma ke segmen o he consump ion o p oduc s and se ices by
2025 (Elena Zla ano a-Pazhe a, 2024). Up o 41 pe cen o Sou h A ica’s popula ion alls wi hin his g oup,
which also in luences he consump ion ac ions and pu chasing decisions o he elde ly (Dlamini and Daniels,
2023). To emain compe i i e, banks mus ocus on gaining insigh s in o hei mobile cus ome expe ience
(Sha ma e al., 2024).
One o he s anda d ea u es amongs echnology applica ions is he sel -se ice (SST) ea u es, ea u es
ha a e commonly ound ac oss many indus ies (Min, Ai, and Ken , 2021), such as as - ood (Wang, Cui,
Sun, Liu, Wei, and Gu, 2024), ou ism (Chen, Zhang and Peng, 2024) and banking (Fa idi, Yunanda, and
Rusman o, 2024). SST allows cus ome s o ansac wi hou di ec ly in e ac ing wi h he se ice p o ide
(Min, Ai, and Ken , 2021). They a e p ima ily applied in banking (Aslam, de Luna, Asim, and Fa ha , 2023).
This echnology has exponen ially enhanced Gen Z’s digi al banking expe ience (Fa idi, Yunanda, and
Rusman o, 2024). Fa idi e al (2024) u he asse ha Gen Zs a e young, ea ly adop e s o inno a ions o
ideas who will become he p ima y and mos p o i able cus ome s. Gen Z is he i s gene a ion conside ed
uni e sal (Pa sakia, Ros ami, Da bani, Saada i, and Na abinejad, 2023). Thei in e ac ion expe ience wi h
echnology, bo h cogni i e (CE) and a ec i e (AE), can in luence hei u u e decisions (Salmiah, Sahi , and
Fahle i, 2024). Osakwe, Říha, Elgammal, and Ramayah (2024) s a e ha cogni i e expe ience elemen s
include e o , pe o mance expec ancies, and echnology anxie y. Ka jaluo o, Gla ee-Geo, and Ramdhony
127 The Re ail and Ma ke ing Re iew: Vol21 Issue 2 (2025) ISSN:2708-3209
e al (2021) cha ac e ize a ec i e expe ience (AE) as encompassing posi i e eelings like joy and
exci emen . Acco ding o Chen and Gi ish (2023), a ela ionship exis s be ween cogni i e expe ience,
a ec i e expe ience, and beha io al pe spec i es. The apid echnological de elopmen , g ow h in he
numbe o Gene a ion Z indi iduals, and hei inc easing adop ion o banking echnology ha e a ac ed
esea ch a en ion (Ali ia, Leon, Pu ba, Chand a, and Nalu i a, 2024). As his gene a ion con inuously
adjus s o echnology-based se ices, pe spec i es, and expec a ions o o he gene a ions, and gi en he
di e se psychological s a es o Gen Z, ques ions abou how hey expe ience (cogni i e and a ec i e) sel -
se ice banking dese e u he sc u iny (A i in, Aziz, Moha i, and Tah eb, 2024).
2. PROBLEM AND PURPOSE OF THE STUDY
The gene alizabili y and applica ion o exis ing indings in a new en i onmen o as -changing digi al
echnology emain a conce n (Fakh Hosseini, Chan, Lee, and Jeon e al., 2024) because hey ocused on
pe cei ed use ulness, ease o use, pe cei ed con ol o sel -e icacy, and pe cei ed isks as he common
ac o s o echnology adop ion (Lisana and Handa kho, 2024). They do no ully ca e o he ise o
cus ome -expe ience-enhancing sel -se ice digi al pla o ms (Mogaji, Viglia, S i as a a, and Dwi edi,
2024) and do no conside he di e en cha ac e is ics o each echnology (Yadega i, Mohammadi, and
Masoumi, 2024).
Fo ins ance, s udies ha e shown ha o he aspec s, such as cus ome pe cep ions (expe ience) wi h
echnology, a e impo an in echnology adop ion. Technology expe ience can di e en ia e a se ice
o ganiza ion, pa icula ly in he p e ailing expe ience economy (Schmi , 1999). As illus a ions, Khashan,
Elso ouhy, Ghonim, and Alaske (2024) isola e he impo ance o cus ome s’ cogni i e expe ience o
adop ion o happen. Fu he , Fakh Hosseini e al (2024) emphasize a ec i e expe ience as a signi ican
de e minan o echnology adop ion. Howe e , G anić (2024) and El Abed and Cas o-Lopez (2024) s a e
ha he combined e ec s o he cogni i e and a ec i e aspec s o echnology would be be e p edic o s o
he in en ion o use echnology and i s ul ima e use. Howe e , ew s udies ha e analyzed sel -se ice
echnologies' cogni i e and a ec i e in luence (El Abed and Cas o-Lopez, 2024), especially o banking
se ices (Ranjan, 2025).
Fu he , he impac o echnology-backed banking s udies does no di e en ia e be ween he gene a ional
coho s. Fo ins ance, acco ding o Sha ma e al (2024), he cha ac e is ics o echnology and i s impac on
Gen Z emain unde explo ed. Indeed, p e ious s udies ha e called o mo e academic inqui ies on Gen Z
(Ameen, Hosany, and Ta hini, 2021), especially he sel -se ice banking expe iences (Zungu, Amegbe,
Hanu, and Asamoah, 2025). The exis ing li e a u e on Gen Z’s p e e ences o sel -se ice ech-based
se ices, b and pe cep ions, and in en ion o loyally suppo b ands calls o a heo e ical model o aid a
mo e holis ic unde s anding o his g oup, especially hei banking expe iences (Elaya and Elal y, 2025). El
Abed and Cas o-Lopez (2024) opine ha he cons uc ion o he cus ome expe ience is holis ic and
in ol es he cogni i e and a ec i e esponses o he consume . Also, expe ience includes cogni i e,
a ec i e, emo ional, social, and physical esponses (Tseng, Chang, and Zhu, 2024), which in luence
pu chasing in en ions (Kowalczuk, Siepmann, and Adle , 2021).
The Cogni i e and A ec i e Expe iences … in Technology-Media ed Banking Se ices 128
The p esen s udy was concep ualized o in es iga e how Gen Z’s CE and AE can be ha nessed o imp o e
banks’ compe i i eness. I ocuses on gaining insigh s in o hei expe iences, pa icula ly echnology-
media ed sel -se ice (SS) banking expe iences (Sha ma e al., 2024). I is impe a i e o explo e cogni i e
(in ellec ual) (Ve ma and Kau , 2023) and eelings o achie e a be e unde s anding o emo ional pe suasion
o he Gene a ion Z coho (Tao, Tian, Sunny, and Tsai e al., 2024). By combining a ec i e wi h he
cogni i e expe ience, o ganiza ions can enhance hei o al cus ome expe ience (Ve ma and Kau , 2023)
and imp o e hei loyal y p ospec s. Fu he mo e, he agmen ed s udies in li e a u e ha e been conduc ed
in di e en con ex s o di e ing echnological ad ances, which limi hei gene alizabili y. To ill his gap, his
s udy explo es Gen Z’s echnology-media ed banking expe iences and loyal y in en ions om a de eloping
coun y con ex . Following Osakwe, Říha, Elgammal, and Ramayah's (2024) example and d awing om
ex an li e a u e, his s udy de elops a esea ch model based on T us -Commi men and Cogni i e-A ec i e-
No ma i e heo ies. These heo ies ha e demons a ed supe io explana o y capabili y compa ed o ea lie
adop ion models (see Ga cía-Milon e al., 2021; Osakwe e al., 2024). The s udy elucida es he de e minan s
in luencing Gen Z cus ome s’ inclina ion o con inue in e ac ing (LOY) wi h echnology-based banking
se ices in Sou h A ica. Nume ous s udies ha e shown LOY o be a unc ion o cus ome sa is ac ion (CS)
and us (CT) (Wedy e al., 2025; Coelho and Imamo ić, 2025), and o he s con i med a s ong link be ween
hese cons uc s (CS, CT, and LOY) (Hoyos Vallejo and Chinela o, 2025). This s udy will, he e o e,
in es iga e he ela ionships be ween CE, AE, CS, CT, and LOY in en ions wi hin he sel -se ice banking
echnology indus y. I aims o ex end cus ome expe ience beyond gene alized sa is ac ion, us , and
loyal y in en ions (Shahid, Khan, Baka , and Bashi , 2022). The esea che s ake inspi a ion om he
Cogni i e-A ec i e-No ma i e (CAN) and he us -commi men heo y (TCT) o pu ou a no el heo e ical
amewo k. The a ionale o he choice is gi en.
By ha nessing CAN and TCT, he s udy holds he po en ial o ad ance knowledge on SST banking se ices
and p o ide s a egic guidelines wi h ac ionable in o ma ion o businesses o emain ele an and
compe i i e in his as -changing en i onmen . Also, his s udy s ands ou by using da a om a de eloping
economic con ex and employing Pa ial Leas Squa es s uc u al equa ion modeling (PLS-SEM) o analyze
he ela ionships unde s udy. The Sma -PLS app oach aids a be e unde s anding o he cus ome jou ney
owa ds loyal y in en ions because i cla i ies how CT and CS in luence LOY in en ions. This me hodological
ad ancemen is pa icula ly ele an o decision-make s, such as in e na ional banking b ands, seeking
comp ehensi e insigh s in o o eign in es men oppo uni ies. The s udy can assis bank manage s in
unde s anding he pu chase expe ience and p opose co esponding s a egies o Gen Z cus ome s. I is,
he e o e, bo h imely and impo an o academia and business.
3. LITERATURE REVIEW
The Cogni i e-A ec i e-No ma i e (CAN) p o ides a comp ehensi e heo e ical amewo k o
unde s anding consume s’ in en ion o adop new se ices (Sube o-Na a o, Peleg ín-Bo ondo, Reina es-
La a, and Ola e-Pascual, 2022). Acco ding o he CAN model, cogni i e and a ec i e ac o s in e ac and
join ly de e mine indi iduals’ in en ions and beha io s ega ding echnology adop ion and loyal y (Rahimi
and Oh, 2024). I inco po a es he dynamic in e play be ween a ional e alua ions and emo ional esponses
129 The Re ail and Ma ke ing Re iew: Vol21 Issue 2 (2025) ISSN:2708-3209
and p omises a comp ehensi e unde s anding o indi iduals’ echnology adop ion beha io s (Rahimi and
Oh, 2024). I has p edic i e u ili y in elucida ing cogni i e and a ec i e ac o s in luencing echnology
adop ion and pu chase in en ions. I s u iliza ion o Gen Z shoppe s in oduces no el y compa ed o ela ed
esea ch, such as he s udy by Sube o-Na a o e al (2022), as i ocuses on a signi ican demog aphic
known o i s eage ness o emb ace new echnologies (Ma, Wang, Li e al., 2023). Howe e , he heo y does
no adequa ely add ess us and commi men issues in eusing SST banking se ices a e he ini ial
expe ience.
To add ess his gap, T us -commi men -Theo y (TCT) was conside ed adequa e. TCT highligh s he
impo ance o us and ela ionship commi men in echnology-media ed in e ac ions be ween cus ome s
and businesses (Hengs le , Enkel, and Duelli, 2016) and emphasizes he ela ionships be ween buye s and
selle s (Almu aqab e al., 2024). This heo y has p o en i s supe io explana o y powe o us and
commi men by p oposing he “Key Media ing Va iables” model o desc ibe and explain ela ional in e ac ion
(Apos olopoulos, Kakou is, Lia go as e al., 2024). Acco ding o TCT, cus ome us is a media ing a iable,
ensu ing a ela ionship endu es inde ini ely (Apos olopoulos e al., 2024). The p esen s udy uses he heo y
o unde s and how Gen Z’s expe ience and us in online banking se ices ansla e in o decisions o commi
o a banking b and.
3.1 THE UNIT OF RESEARCH: GEN Z
Gen Z’s demand o emo ional expe iences in pu chasing decisions is high (Elena Zla ano a-Pazhe a,
2024). Fo ou pu pose, Gen Z will be de ined as hose bo n be ween 1995 and 2010 (Zimand-Sheine and
Lissi sa, 2024), who ha e access o di e se online in o ma ion sou ces (F ancis and Hoe el, 2018), and ely
hea ily on social media, s eaming se ices, and use -gene a ed con en pla o ms (Lissi sa, 2024; Zimand-
Sheine and Lissi sa, 2024). Gene a ion Z's unpa alleled sel -se ice echnology skills and massi e
pu chasing powe ende hem a ac i e o esea che s and p ac i ione s (Chong and La i , 2021).
3.2 COGNITIVE, AFFECTIVE EXPERIENCE, CUSTOMER SATISFACTION, AND TRUST
In he p esen con ex , expe iences (cogni i e and a ec i e) a e es ic ed o cus ome s' subjec i e and
in e nal esponses o encoun e s wi h inno a i e echnologies (Tseng, 2021; El Abed and Cas o-Lopez,
2024), which can u he be concep ualized in o cogni i e (CE) and a ec i e (AE) dimensions. CE is any
men al ac i i y in ol ing in o ma ion acquisi ion, p ocessing, e en ion, and eco e y (El Abed and Cas o-
Lopez, 2024). I cap u es a men al p ocess and in ol es pe cep ion, p oblem-sol ing, and abs ac hinking
(Ameen e al., 2021) because i is connec ed o people's conscious men al p ocesses (Gen ile, Spille , and
Noci, 2007). This dimension ca e s o he in ellec ual expe ience and men al p ocesses in cus ome s' minds
(Ve ma and Kau , 2023). A posi i e CE is c ea ed when unc ional in o ma ion is imely p o ided, hus
emphasizing he e iciency and unc ionali y o ob aining se ices and p oduc s. SST can c ea e a supe io
cogni i e expe ience by o e ing e icien se ice and adequa e in o ma ion (Fan e al., 2023). O e ing a
supe io CE in ol es gi ing cus ome s a p oduc o se ice ha gi es sa is ac ion (CS) (Cankül, Kaya, and
Kızıl aş, 2024). A sa is ying expe ience wi h an encoun e is likely o lead o a belie ha he se ice p o ide
is eliable and willing o deli e on hei p omise (Guo and Luo, 2023). Fo he SST-enabled se ice, he
pla o m p o ides a sa is ying in e ac ion. When a se ice p o ide c ea es supe io cogni i e expe ience,

The Cogni i e and A ec i e Expe iences … in Technology-Media ed Banking Se ices 130
cus ome s expec i o deli e on i s p omises and commi men s (Komiak and Benbasa , 2024), which
pe suades hem o us he b and (Guo and Luo, 2023). The e o e, he cogni i e expe ience can c ea e us
o dis us ela ionships be ween cus ome s and se ice p o ide s (Okle ik, Nys een, and Pede sen, 2024).
Guo and Luo (2023) add ha cus ome s’ cogni i e expe ience o banking se ices can de e mine whe he
hey accep o ejec any new banking echnology. T us in luences cus ome sa is ac ion by a ec ing he
buye ’s pe cep ion o alue cong uence wi h he supplie (A hu , Agbemabiese, Amoako, and Anim, 2024).
Gi en he in e connec edness o he se ice wi h SST o he banking se ices in SA, he esea che s
p opose he ollowing hypo heses:
H1: Posi i e Cus ome s’ Cogni i e expe ience wi h sel -se ice banking echnology is signi ican ly
associa ed wi h b and sa is ac ion.
H2: Posi i e Cus ome s’ cogni i e expe ience wi h sel -se ice banking echnology is signi ican ly
associa ed wi h b and us .
Gen Z alues a ec i e expe iences and assigns less impo ance o unc ionali y (Sha ma e al., 2024). As
consume s ha e g own accus omed o u ilizing SST h oughou hei ansac ing jou ney (Neslin, 2022), hey
a e suscep ible o a ec i e in luences (Laza is, V echopoulos, Sa an opoulos, and Doukidis, 2022). Guo
and Luo (2023) s a e ha cus ome s’ expe ience wi h any echnology-media ed banking se ice can also be
a ec i e, expe iences ha p o oke an emo ion o joy and sa is ac ion. Also, SST expe iences can simula e
ha monious and emo ionally esonan expe iences (Co e , Rod iguez-Boe winkle, and Sil e e al., 2024),
such as happiness, sadness, and su p ise, which a e a ec i e expe iences (AE) (Mel-Abed and Cas o-
Lopez, 2024). A ec i e expe ience maximizes pe sonal pleasu e and encou ages epea ing ac ions ha
gene a e i (Mal aglia i, Sa azin, and Fessle e al., 2024). The a ec i e dimension can p o oke an
indi idual’s emo ions o enjoymen and sa is ac ion wi h a b and and lead cus ome s o us he b and
(Kuma and Hsieh, 2024). The link be ween a ec i e expe ience and us is u he con i med by T an and
Chang (2024). T us implies ha cus ome s depend on ins inc s, in ui ions, o eelings ega ding he eliabili y
o he supplie o ganiza ion (Guo and Luo, 2023). Raji, Olodo, and Oke e al (2024) s a e ha b ands ha
o e a supe io cus ome expe ience a e lo ed and us ed. This us is emendously impo an o
cus ome s’ emo ional accep ance o new echnologies in he se ice indus y (Wong, Tan, Ooi, and Dwi edi,
2024). Gleaning om his discussion, his esea ch p oposes he ollowing hypo heses o Gen Z cus ome s:
H3: Cus ome s’ posi i e a ec i e expe ience wi h sel -se ice banking echnology is signi ican ly
linked o cus ome s’ b and sa is ac ion.
H4: Cus ome s’ posi i e a ec i e expe ience wi h sel -se ice banking echnology is signi ican ly
linked o cus ome s’ b and us .
3.3 CUSTOMER SATISFACTION, TRUST, AND LOYALTY TO SELF-SERVICE BANKING SERVICES
CS is essen ial o widesp ead adop ion and success (Gahle e al., 2023). Recen s udies ha e shown ha
he impac o CS on loyal y in en ions is ia CT (Yesi adewi and Widodo, 2024). CS os e s CT, pa icula ly
in online en i onmen s (Hani , As u i, and Suna di, 2024). CS does no only esul in CT. A good expe ience
131 The Re ail and Ma ke ing Re iew: Vol21 Issue 2 (2025) ISSN:2708-3209
and high sa is ac ion pe cep ion o a se ice ac as a swi ching ba ie and gene a e loyal y (Hidaya and
Id us, 2023). Gunawa dane (2023) s a es ha expe ience and CS cemen e en ion and us . The
ela ionship be ween CS and CT is no unidi ec ional bu ecip ocal (Cui, Sun e al., 2024). T us in he
b and’s hones y, c edibili y, and bene olence builds ai , sa is ying in e ac ions ha p e en con lic s om
leading o dissa is ac ion (Kingsho , Sha ma, Sima, and Wong, 2020). Toge he , CS and CT can be e
explain cus ome loyal y (Pe ze and Robe s-Lomba d, 2024). Whene e CS and CT a e p esen among
ansac ing pa ies, hey esul in loyal y. Fo echnology-media ed ansac ions, LOY encompasses
consume online expe ience and hei deep commi men o ebuy o epa onize a p e e ed p oduc /se ice
consis en ly in he u u e, he eby causing epe i i e same-b and o b and-se pu chasing (Ashiq and
Hussain, 2024). Sa is ying cus ome expe ience is a p ecu so o cus ome commi men and loyal y
(Robe s-Lomba d, Makanyeza, Jaiyeoba, and S o wa, 2024). Fu he mo e, The T us -commi men heo y
sugges s ha when cus ome s us a b and, hey a e mo e likely o commi o i (Ashiq and Hussain, 2024).
Khami o , Raja i, Huang, and Hong (2024) also con i med ha CT is a p ecu so o cus ome loyal y. O he
s udies ha e shown ha cus ome sa is ac ion and us posi i ely impac loyal y in en ions (Singh, Ras ogi,
and Nayan, 2024; Al-Dwai i, Shehaba , Zah awi, and Hammou i, 2024). Fo Gen Z, and gi en he
ela ionships be ween expe ience, CS, CT, and LOY, his s udy p oposes he ollowing:
H5: Cus ome s’ sa is ac ion wi h sel -se ice banking echnology is signi ican ly linked o b and us
in he banking se ice.
H6: Cus ome s’ sa is ac ion wi h sel -se ice banking echnology is signi ican ly linked o b and
loyal y in en ions in he banking se ice.
H7: Cus ome s’ us in sel -se ice banking is signi ican ly linked o b and loyal y in en ions.
The ela ionship be ween CS and CT in SST banking se ices dese es u he in e oga ion.
3.4 SATISFACTION AND TRUST AS MEDIATORS IN RELATIONSHIPS
Acco ding o Na e al (2023), he ela ionship be ween b and expe ience and loyal y can be media ed by
b and us . Fu he , Ozuem, Willis, Howell, Ran agni, and Ro ai (2024) con i m CT’s media ing ole in he
ela ionships be ween cus ome expe ience (Cogni i e o a ec i e) and CS. Ea lie s udies also con i med
he media ing in luence o CT (see Maxian, B adley, Wise, and Toulouse, 2013; Rasoolimanesh, Tan, Neja i,
and Sha aei, 2024; Rohman and Am ullah, 2024).
Con e sely, CS media es he ela ionship be ween expe iences and us , as con i med by many ecen
s udies (Hani e al., 2024; Ka im e al., 2024). Gi en he na u e o CS and CT ela ionships, he ole o CS
as a media o in o he s udies, and he echnology-media ed banking se ices, i seemed plausible o
p opose he ollowing hypo heses o Gen Z cus ome s:
H8: CS media es he associa ion be ween CE and CT.
H9: CT media es he associa ion be ween AE and CS.
The esul an diag amma ic ep esen a ion o he hypo heses is in Figu e 1.
The Cogni i e and A ec i e Expe iences … in Technology-Media ed Banking Se ices 132
FIGURE 1: CONCEPTUAL MODEL
Sou ce: F om hypo heses s a emen s
4. METHODOLOGY
The s udy employs a quan i a i e me hodology su ey app oach (Maca ón Máñez, Mo eno e al., 2024),
which en ails hypo hesizing and ga he ing nume ical da a (Du e and Ma aule, 2024). The su ey app oach
imp o es he anspa ency and eliabili y o he esea ch ou comes (Kosie and Lew‐Williams, 2024). The
popula ion o in e es was Sou h A ica’s li e a e Gene a ion Z, who had sel -se ice banking expe ience
(Ling e al., 2024) and unde s ood he dis ibu ed ques ionnai es (Ling, Chin, Yi, and Wong, 2024). Non-
p obabili y con enience sampling was applied because i allows he esea che o a ge esponden s who
will bes be able o espond o he s udy’s esea ch ques ions. Acco ding o Robe s-Lomba d e al. (2024),
he app oach inc eases sampling sui abili y and ensu es he pa icipa ion o mo e indi iduals a a educed
cos in a sho ime. The cons uc s we e measu ed on a i e-poin Like -s yle a ing scale anging om
s ongly ag ee (5) o s ongly disag ee (1), wi h a mid-poin (3) indica ing indecision. Simms (2019) s a es
ha scale o ma s beyond 5-poin a e suscep ible o poo da a quali y. Cons uc i ems we e adap ed om
academic publica ions, as shown in Table 1.
TABLE 1: CONSTRUCT ITEMS AND SOURCES
Cons uc
Sou ce o i ems
CE
Komiak and Benbasa (2024), Guo and Luo (2023), Li e al (2024), and Co e e al (2024),
AE
Komiak and Benbasa (2024), Guo and Luo (2023), Li e al (2024), and Co e e al (2024),
CS
Ugwuanyi (2021) and Lin and Guo (2023),
CT
Ugwuanyi (2021) and Lin and Guo (2023),
Sou ce: Sel -compiled
The sel -adminis e ed elec onic ques ionnai e o ms we e dis ibu ed ia he Uni e si y o he Wi wa e s and
s uden emails and a ious uni e si y social media g oups a ailable o he esea che s. All known e hical
isks we e mi iga ed, and he esea che s i s ob ained an e hics clea ance ce i ica e om a Johannesbu g-
based Uni e si y. The e hics clea ance p o ocol numbe is H24/02/10.
Fo da a analysis, he s udy ollowed he p esc ibed s anda d p ocedu es. SPSS e sion 27 was used o
analyze demog aphic in o ma ion, ollowing Limna, K aiwani , and Si ipipa anakul (2023). To con i m he
concep ual model and es he hypo heses, he esea che s p ocessed he collec ed da a using he
133 The Re ail and Ma ke ing Re iew: Vol21 Issue 2 (2025) ISSN:2708-3209
Sma PLS 3.0 so wa e (P adi ya and Pu wan o, 2024). This is a powe ul analy ical ool o empi ically es
complex ela ionships be ween obse ed and la en a iables o a model ha is based on ewe
homogeneous sample se s (Hai , Hul , Ringle, and Sa s ed , 2022; Jacqueline, Senjaya, Fi li, and Yadila,
2024). I in ol es e i ying he eliabili y and alidi y o he scale used be o e assessing he quali y o he
model (Su yan i and Kuswa i, 2024). The analysis echnique has wo s ages: he ou e (also known as he
measu emen model) and he inne models (also known as he s uc u al model) (Hai e al., 2022). The
measu emen model is o en used o e alua e he ou e loadings o he indi idual cons uc (A olabi,
Owoade, Iye e, and Nwobi, 2024). The esea che s assessed he measu emen model’s eliabili y,
con e gen , and disc iminan alidi y. C onbach's alpha was used o con i m he eliabili y o he model. I
p o ides an es ima e o he eliabili y o he scale sco es (Malapane and Ndlo u, 2024). Fo con e gen
alidi y, A e age Va iance Ex ac ed (AVE) assesses he p opo ion o a iance in each cons uc accoun ed
o by i s measu ed indica o s (Suma mi, Tjahjono, and Qama i, 2024). Acco ding o Cheung, Coope -
Thomas, Lau, and Wang (2024), i measu es he ex en o which all he i ems come oge he (con e ge) o
explain a pa icula cons uc and is used o e i y con e gence alidi y. Highe AVE alues indica e ha he
cons uc is well- ep esen ed by i s indica o s (Malapane & Ndlo u, 2024).
Bahammou Sami , Aicha, Zoh a e al. (2024) ecommend using he He e o ai -Mono ai Ra io (HTMT) o
a disc iminan alidi y check. The HTMT app oach has high sensi i i y and speci ici y in de ec ing
disc iminan alidi y p oblems.
Assessmen o media ion analysis includes e alua ing he coe icien o de e mina ion (R2) (Sanchez and
Tanpoco, 2023) and checking o mul icollinea i y using he Va iance In la ion Fac o (VIF) (Zhang, Siyal,
Riaz, Ahmad, Hilmi, and Li, 2023). R2 shows he a iance in endogenous a iables due o exogenous
a iables in he model (Zhang e al., 2023). Model i ness was also assessed be o e e alua ing he s uc u al
model.
5. ANALYSIS RESULTS
The su ey achie ed a usable sample o 370 Sou h A ican Gen Z membe s, he demog aphic p o ile o
whom is in Table 2. The popula ion es ima ion, he S uc u al equa ion modeling equi emen , and Raoso
con i med he adequacy o he sample size.
All he 370 pa icipan s we e compu e -li e a e. F om Table 2, i is enligh ening o obse e ha he emales
we e be e ep esen ed in he s udy, wi h a 68% sha e o he g oup. O e hal o he pa icipan s we e in
he 18-21 age g oup. The 55.4% ep esen a ion can be used as a handle o p ope posi ioning in banking
o ganiza ions a ge ing Gen Zs. The o al sha e o Gen Zs no in o mal employmen is also wo h no ing.
This ca ego y consis s o mo e han 85% o he pa icipan s. Wi h i e b ands iden i ied, one b and accoun ed
o mo e han 40%. I is he s a is ics wo h u he in e oga ion. The 76% mobile se ice sha e o he
echnology-based banking se ice p esen s ano he hin o be e a ge ing possibili ies.
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