dc.contributor.author | Palang'a, Josephat Nyongesa | |
dc.contributor.author | Kamotho, Adrian | |
dc.contributor.author | Munene, David | |
dc.date.accessioned | 2021-10-16T09:15:04Z | |
dc.date.available | 2021-10-16T09:15:04Z | |
dc.date.issued | 2020-08 | |
dc.identifier.uri | https://www.globalscientificjournal.com/researchpaper/Mobile_credit_apps_adoption_and_continuous_use_in_a_growing_digital_economy.pdf | |
dc.identifier.uri | http://repository.kemu.ac.ke/handle/123456789/1076 | |
dc.description.abstract | Since the launch of Commercial bank of Africa’s MShwari in 2012, Kenya’s first digital banking product
which offers a savings account and access to digital credit,
the market for digital credit has expanded rapidly in
Kenya. Digital credit is now offered by most commercial
banks as well as privately developed loan apps from able
lenders. In the first two years, CBA through its M-Shwari
product had already dished out over 20 million loans to
2.6 million borrowers while Kenya Commercial Bank’s
KCB-Mpesa helped them to grow from 200,000 new
loans per year to about 4,000,000 (Totolo, 2017). A recent
report from FSD Kenya indicates that 29 per cent of
mobile phone owners in Kenya have borrowed from MShwari and there are over 49 loan apps in the country.
Also, according to the report, in Kenya’s digital lending
market share, M-Shwari is leading followed by KCB MPesa at twelve per cent, Equity Eazzy at four per cent, Tala
at 1.8 per cent and MCo-op Cash at 1.3 per cent (Mbogo,
2018). This paper aims to examine the determinants
of Mobile Credit Apps adoption and continuous use in a
growing digital economy, case study Kenya.
The researcher used descriptive survey research design.
The target population was smart phone users in Nairobi,
its environs and 2 rural areas with a good number of
mobile smart phone use. The researcher selected a sample
of 600 users from the targeted areas. The researcher used
purpose random sampling to select the respondents. Data
was collected from the primary source. The collection of
primary data was done using a combination of structured
survey questionnaires and personal interviews, which
were administered to the respondents. The data was edited
then cording and tabulation was carried out using SPSS.
The data was analyzed using qualitative and quantitative
techniques.
The findings revealed that the economic factor has a
significant effect on the use of mobile credit in Kenya.
The research was done on some 600 individuals in
Nairobi County and its environs. Practical implications–
The findings offer FinTech providers, financial
institutions and the government with a better
understanding of what contribution digital credit brings to
the improvement of individuals’ livelihoods. The research
contributes to the application of new mobile technology
in the financial sector. The findings also help financial
institutions consider mobile technologies when aiming to
improve financial access to the unbanked individuals. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Global Scientific Journals | en_US |
dc.relation.ispartofseries | Vol 8,;(8) | |
dc.subject | FinTech, digital credit, mobile technologies, digital economy and digital banking | en_US |
dc.title | Mobile credit apps adoption and continuous use in a growing digital economy | en_US |
dc.type | Article | en_US |