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The framework for cross-border banking in East Africa: a case for the Kenya Commercial Bank

Abstract in English, Afrikaans and Setswana / The study aimed to develop an appropriate cross-border banking framework for
competitiveness in East Africa. To this end, Kenya Commercial Bank was chosen as
case study, as it allowed for an examination of global, multi-domestic and transnational
cross-border competitiveness strategies. The political and sociocultural environments
were the moderating variables for the study, while the sub-variables of competitive
advantage were efficiency, risk management, learning and innovation.
A mixed methods sequential approach was utilised, with the quantitative
approach employing a cross-sectional survey research design as framework, while
probability and nonprobability sampling techniques were used for collecting quantitative
and qualitative data respectively. Both close- and open-ended questions were used.
The quantitative phase of the study sampled 217 potential participants and
received 168 responses, which is a response rate of 77 per cent. Data were analysed
using SPSS software, which provided descriptive and inferential statistics. Thereafter, a
framework for cross-border banking was developed, using regression analysis.
The qualitative phase of the research employed a case study design, with
interviews being conducted with employees of Kenya Commercial Bank. To this end,
purposive, convenience and snowball sampling was utilised. In addition, qualitative data
were processed and analysed through the use of MAXQDA software.
Trustworthiness and rigour were enhanced by transcribing the interviews and
reviewing them for accuracy. The quantitative and qualitative data were subsequently
synthesised, taking into account their points of convergence and divergence.
The study finally established that the most appropriate framework for
competitiveness was to strategically integrate multi-domestic and global strategies, and
moderate these by taking into account prevailing political and sociocultural
environments. Elements for global configuration included centralisation, standard
procedures, similar policies, organisational structures, global dynamics and global
appeal. By contrast, the critical elements for a multi-domestic strategy included
decentralisation, different procedures/policies/organisational structures and marketing
approaches, flexibility, local responsiveness, as well as local dynamics and local
appeal. / Hierdie studie is daarop gemik om ’n gepaste oorgrens-bankweseraamwerk vir
mededingendheid in Oos-Afrika te ontwikkel. Met hierdie doel voor oë is die Kenya
Commercial Bank as gevallestudie gekies, omdat dit die navorsers in staat gestel het
om wêreldwye, multibinnelandse en transnasionale oorgrens-mededingendheidstrategieë te ondersoek. Die politieke en sosiokulturele omgewings is die
moderatorveranderlikes vir die studie, terwyl doeltreffendheid, risikobestuur, leer en
innovering die subveranderlikes van mededingingsvoordeel is.
’n Opeenvolgende gemengemetodes-benadering is gevolg – die kwantitatiewe
benadering maak gebruik van ’n deursnee-opname-navorsingsontwerp as raamwerk,
terwyl waarskynlikheid- en nie-waarskynlikheid-steekproefnemingstegnieke gebruik is
om onderskeidelik kwantitatiewe en kwalitatiewe data in te samel. Geslote vrae én oop
vrae is gebruik.
Tydens die kwantitatiewe fase van die studie is 217 potensiële deelnemers
genader en 168 het geantwoord. Die responsiekoers was dus 77 persent. Data is
ontleed met behulp van SPSS-sagteware, wat deskriptiewe en inferensiële statistiek
opgelewer het. Daarná is daar met behulp van regressie-ontleding ’n raamwerk vir
oorgrens-bankwese ontwikkel.
Tydens die kwalitatiewe fase van die navorsing is gebruik gemaak van ’n
gevallestudie-ontwerp – onderhoude is gevoer met werknemers van Kenya Commercial
Bank. Hiervoor is doelgerigte, gerieflikheids- en toenemende steekproefneming gebruik.
Daarby is kwalitatiewe data verwerk en ontleed met behulp van MAXQDA-sagteware.
Betroubaarheid en nougesetheid is bevorder deur die onderhoude te transkribeer
en te hersien vir akkuraatheid. Die kwantitatiewe en kwalitatiewe data is daarná
saamgevoeg met inagneming van die punte waarop die data ooreenstem en verskil.
Uiteindelik het die studie bepaal dat die mees gepaste raamerk vir mededinging
sou wees om multibinnelandse en globale strategieë te integreer en te modereer met
inagneming van heersende politieke en sosiokulturele omgewings. Die elemente van
wêreldwye konfigurasie sluit in sentralisering; standaardprosedures; ooreenstemmende
beleide, organisasiestrukture en globale dinamiek; en globale aantrekkingskrag.
Daarenteen sluit die noodsaaklike elemente vir ’n multibinnelandse strategie die
volgende in: desentralisering; verskillende prosedures, beleide, organisasiestrukture en
bemarkingsbenaderings; buigsaamheid; plaaslike responsiwiteit; plaaslike dinamiek; en
plaaslike aantrekkingskrag / Maikaelelo a thutopatlisiso e ne e le go tlhama letlhomeso le le maleba la go ralala
melelwane la kgaisano kwa Aforikabotlhaba. Go fitlhelela seno, go tlhophilwe Banka ya
Kgwebo ya Kenya go sekasekwa, ka ntlha ya fa e ne e kgontsha tshekatsheko ya
ditogamaano tsa kgaisano tsa selegae-bontsi le ditlamo tse di kgabaganyang ditšhaba
le melelwane. Ditikologo tsa sepolotiki le loagosetso e nnile dipharologantsho tse di
dirisitsweng mo thutopatlisisong, fa dipharologantshopotlana tsa tshiamelo ya kgaisano
e nnile bokgoni, tsamaiso ya matshosetsi, go ithuta le go itlhamela.
Go dirisitswe mokgwa o o tswakantsweng o o sekasekang data go tswa kwa
tshimologong, fa mokgwa wa go lekanyetsa dipalopalo ka go dirisa thadiso ya patlisiso
e e ralalang maphata e nnile letlhomeso, mme go dirisitswe thekeniki e bannileseabe ba
kokoanngwang mo thulaganyong e e nayang batho botlhe ditshono tse di lekanang tsa
go ka tlhophiwa le e e sa neyeng batho botlhe ditshono tse di lekanang tsa go ka
tlhophiwa go kokoanya data e e ka kgonang go lekanyediwa le e e ka se keng ya kgona
go lekanyediwa. Go dirisitswe dipotso tse di batlang karabo ya ee kgotsa nnyaa le tse di
batlang tlhaloso.
Legato la patlisiso le le akaretsang dipalopalo le tlhophile batho ba ba ka nnang
le seabe ba le 217 mme ga amogelwa tsibogo ya ba le 168, se e leng tsibogo e e
lekanang le diperesente tse 77. Go sekasekilwe data go dirisiwa serweboleta sa SPSS,
se se tlametseng ka dipalopalo tse di tlhalosang le tse di lebisang kwa ditshwetsong.
Morago ga moo go ne ga tlhamiwa letlhomeso la banka e e dirang go kgabaganya
melelwane, go dirisiwa tshekatsheko e e lekanyetsang kamano ya dipharologantsho.
Legato la go tlhaloganya mabaka la patlisiso le dirisitse mokgwa wa go lebelela
rekoto ya setheo se se rileng, mme go botsoloditswe badiri ba Banka ya Kgwebo ya
Kenya. Go fitlhelela seno, go dirisitswe mokgwa wa go tlhopha sampole ka go tlhopha,
go dira gore bannileseabe ba ngoke bannileseabe ba isago le go tlhophiwa ga
bannileseabe ba ba fa gaufi. Go tlaleletsa foo, data e e sa kgoneng go lekanyediwa e
sekasekilwe ka tiriso ya serweboleta sa MAXQDA.
Go okeditswe boikanyego le kelotlhoko ka go gatisa dipotsolotso le go di
sekaseka gape go tlhomamisa nepagalo. Data e e kgonang go lekanyediwa le e e sa
kgoneng go lekanyediwa di ne tsa kopanngwa, go lebeletswe dintlha tsa tsona tse di
golaganang le tse di fapaaneng.
Gape thutopatlisiso e lemogile gore letlhomeso le le maleba go gaisa la kgaisano
ke gore go nne le togamaano ya go golaganya ditogamaano tsa selegae le tsa lefatshe,
mme di sekasekiwe go etswe tlhoko tikologo e e gona ya sepolotiki le loagosetso.
Dintlha tsa thulaganyo e e akaretsang di akareditse go tlisa ditirelo fa lefelong le le
lengwe fela, ditsamaiso tse di tlwaelegileng, dipholisi tse di tshwanang, dipopegotheo
tsa setheo, diphetogo mo lefatsheng mmogo le kgatlhego mo lefatsheng. Go farologana
le seo, dintlha tsa botlhokwa tsa togamaano ya selegae-bontsi e akareditse go tlisa
ditirelo fa lefelong le le lengwe fela, dithulaganyo/dipholisi/dipopegotheo tsa setheo tse
di farologaneng le mekgwa ya papatso, go obega, tsibogo ya selegae, gammogo le
diphetogo tsa selegae le kgatlhego ya selegae. / Graduate School of Business Leadership / D.B.L

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/26736
Date11 1900
CreatorsOkoche, John Michael Maxel
ContributorsMolefe, G.N.
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageUnknown
TypeThesis
Format1 online resource (xxxv, 541 leaves) : illustrations, application/pdf

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