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EFFECT OF MOBILE AND INTERNET BANKING ON THE FINANCIAL PERFORMANCE OF
DEPOSIT TAKING – SACCOS IN MERU COUNTY, KENYA
1*
1,2
2**
Tabitha Nasieku
tabithanasieku@gmail.com
Jacqueline Kendi Njoroge
jacqkendi@gmail.com
Jomo Kenyatta University of Agriculture and Technology, Kenya
Abstract: The Kenyan Fintech industry has made great gains toward providing high-quality banking services
in a safe environment, enabled by modern information and communication technology. This study sought to
understand how, mobile and internet banking affect the financial performance of deposit taking Savings and
Credit Cooperatives (SACCOs) in Meru County, Kenya. This study was informed by three key theories; Theory
of diffusion of innovation, asymmetric information theory, and resource – based view theory. The study
secondary data sources to look into the specific impacts of Fin Tech on the financial health of deposit-taking
Sacco's. The study data was analyzed from 19 Deposit taking saccos that are licensed by Sasra within Meru
county. Both mobile banking and internet banking show an increasing trend in usage over the years, as
indicated by the coefficients for the year variable in the linear equations. The R² values for both mobile banking
and internet banking indicate that the linear equations can explain a moderate to strong proportion of the
variance in usage. The R² values suggest that the linear equations provide a reasonable level of predictability
in both mobile banking and internet banking usage based on the year. The study therefore concludes that the
use of mobile banking technology has the potential to enhance the operational efficiency, expand the customer
outreach, and elevate the level of member contentment for Saccos. It is imperative for financial institutions to
maintain a constant vigilance in detecting and identifying fraudulent activities, adopt sophisticated fraud
prevention mechanisms, and impart knowledge to their clientele regarding prevalent fraudulent schemes and
scams.
Keywords: Deposit taking, mobile banking, internet banking, SACCO
1.0 INTRODUCTION
The entry of financial technology into the financial sector has led to major disruptions which affected the stable
business environment. Given that Financial technology regulations are underdeveloped in many developing
countries (Le, T. D. 2021), the new entrants were not restricted in any the mode of operations. Consequently,
it is apparent that financial technology has led to a restructured paradigm shift in reasoning as the role of the
financial sector was not only to act as a provider but as an enabler of financial services.
Many aspects of institutional operations have been positively affected by financial technology. There is
improvement in the problem solving mechanisms and effective engagement with customers. Product
improvement is a major boost to many institutions due to the analytical power of financial technology to
process bulk information at a faster rate using artificial intelligence. SACCOs can now process loans within a
few minutes compared to prior periods of manual processing of a loan. In Kenya, Amtech developed a machine
learning technology in order to incorporate three applications namely Easyma, Eassysacco and FLMD (De
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Guire, E., et al., 2019). This technology is useful in analysis of up to date data from members of agricultural
SACCOs. With such up to date decision making tools, farmers are categorized according to their credit scores
and on application of a loan, the loan is approved and disbursed to the farmer’s mobile wallet within a matter
of seconds.
The past two decades has seen an increase in the level of financial technology in various sector of the Kenyan
economy aided by increase in mobile penetration, mobile money platforms and increase financial inclusion
(Sy, M., et al., 2019). Emergence of financial technology in Kenya has changed the mode of operations in the
financial sector as Safaricom introduced a money platform M-Pesa in 2007. This external force led to many
financial organizations to acquire software technologies as many customers reduced the visits to financial
institutions opting for mobile money. The M-Pesa project by Safaricom led to a massive increase in the level
of financial inclusion as there were no registration fees and lower transactional costs compared to other
financial institutions.
The innovation environment thereafter has taken a drastic change as many financial institutions have since
then adopted and utilized technology in offering their services. The major task faced is the right technology to
choose that fully meets the demands of the institution. The cost of acquiring an inbuilt technology is high which
drives small firms away hence opting for open source software which is considered relatively cheap (Tennant,
J. P. et al., 2020). Despite open source software being cheap, the importance of obtaining an inbuilt technology
with user specifications outweighs the costs. The ease of use and the effectiveness of technology are considered
as critical factors when choosing to adopt a technology.
The growth of the Fintech industry in Kenya continues to be an important contributor to the national nominal
GDP. SASRA (2019) reports a 0.17% increase in the share of the national nominal GDP in terms of assets
from 5.55% in 2018 to 5.72% in 2019. This is a strong indication of the continued demand and public
confidence in the credit facilities offered by the Deposit Taking – SACCOs.
Ahmed, E. M. (2021) found that the Kenyan population's openness to adopting new and improved banking
practices explains why financial technology has spread so rapidly there. Most DT - SACCOs in Kenya serve a
diverse clientele, with members hailing from a number of industries like agriculture, education, government,
the private sector, and the community at large. The widespread adoption of the financial technology utilized
by DT - SACCOs can be attributed to the inclusion of individuals from a wide range of economic sectors. To
maintain their businesses, grow at a rate that is acceptable, and create value for their stakeholders, DT SACCOs want to improve the accessibility of the services they provide to their clients.
The Kenyan Fintech industry has made great gains toward providing high-quality banking services in a safe
environment, enabled by modern information and communication technology. Most banks in East Africa and
Kenya in particular, rely largely on the country's robust ICT infrastructure to help them stay competitive in a
fiercely competitive business. Mbiti and Weil (2015) state that when it comes to banking and payment systems
that have been digitized, Kenya is one of the most developed countries in East Africa. As a result, the Kenyan
case is being studied more closely than ever before.
Evidence of growth of the Fintech industry is shown by the continuous growth of DT – SACCO performance
indicators. For instance, membership in DT – SACCOs has grown from 3.1 million active members in 2017 to
4.81 active members in 2021. This growth in membership is in line with one of the core deposit taking financial
services by using to ease the process of recruitment of members. To further underscore the importance of in
the DT – SACCO performance, SASRA Report (2017, 2020) shows a tremendous growth in the gross loans
taken from 297.6 billion in 2016 to 419.55 billion in 2020.
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It is apparent that the growth of financial technology has a great impact on performance of institutions. In
Kenya, there is a surge in the number of financial institutions every year which raises competition for funds
from the public and giving out loans at an interest. Credit analysts use financial technology to assess the credit
viability of customers to assess whether to grant a loan. The applicant’s behaviour during the loan period or a
review of past activities is monitored by financial technology firms to help build the borrower's portfolio. Some
institutions monitor the borrower to the extent of understanding which type of games the person is interested
in. To what level of monitoring depends on the consumer protection policies put in place in a country so that
the consumers feels safe about their information. By and large, growth of in Kenyan DT – SACCOs will be
driven by efficient financial technologies in terms of mobile banking and internet banking on the financial
performance.
1.1 Statement of the Problem
In a competitive financial sector, DT – SACCOs face stiff competition from commercial banks that launch
products via the mobile phone platform such as KCB Mpesa, Mshwari, Pesa Pap and Coop cash (Musango, D.
M., 2018). This has the effect of reduction of transactions in DT – SACCOs as members opt for convenience.
DT – SACCOs also face stiff competition from other digital credit financial services (SASRA 2017) and
therefore a call for increased efficiency in service delivery. In this regard, a look at the efficiency of the
financial services is a very important aspect for every financial institution.
Research by KNBS (Census Report 2019) reveals that an alarming 80% of economically active adults are not
members of any of the DT – SACCOs. This is a major concern given that DT – SACCOs aim to deepen
financial access and inclusion using pro – active measures to mobilize savings. Membership in SACCOs is
likely to rise as the use of mobile phones and the internet spreads to more areas of Kenya (DT - SACCOs). In
order to win over the public and provide convenient and trustworthy services to its customers, DT - SACCOs
must rebrand the underlying financial technology. There has been progress toward financial inclusion, but the
technology employed to reach this goal should overcome barriers to entry and exit for DT - SACCOs.
From the above literature, it is clear that there were shortcomings in the non – efficient usage of financial
technology in DT – SACCOs. The SACCO sector is still witnessing a high level of NPLs due to non –
remittance, a high level of non – inclusion of the adult population to be SACCO members, stiff competition
from other financial providers despite embracing Fintech in their daily operations and service delivery. The
mentioned SASRA reports and the study reviewed conclusively noted that DT – SACCOs must efficiently
utilize Fintech. In this regard, this study sought to explain how, mobile and internet banking affect the financial
performance of DT – SACCOs.
1.2 Objectives of the Study
The broad objective of this study was to assess the effect of Fintech on financial performance of deposit taking
SACCOs in Kenya. This study was guided by a specific research objective to examine the effect of mobile and
internet banking on the financial performance of Deposit Taking – SACCOs in Meru County.
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2.0 THEORETICAL LITERATURE
This study is pegged on three theories; theory of diffusion of innovation, information asymmetry theory and
resource based view theory.
2.1 Theory of Diffusion of Innovation
The proponent of the theory of diffusion of innovation, Rogers (1995), describes diffusion of innovation as a
method of gradually informing people inside an organization about a new development. The flow of
information gives rise to a special kind of communication whereby as opposed to instructions, ideas are shared
(Rodgers, 1995). A negative response towards an innovation has the effect of rejection of viable ideas. The
theory suggests a range of tools that can be used to measure the rate at which an innovation is adopted. The
theory of diffusion of innovation is important to this study to show how innovation spreads. In most instances,
DT – SACCOs obtain critical information about a given financial technology and all its benefits considered
before a decision is made, and finally an evaluation of the impact of the financial technology is done. For
instance, one aspect of a financial technology is to market a new financial product as well as to provide avenues
to collect member deposits as well as issuance of loans. In this regard, a DT – SACCO will take all the
necessary steps stating from communication up to the final stage of whether to adopt a mobile financial
application or to use a website portal.
2.2 Asymmetric Information Theory
According to the asymmetric information theory proposed by Akerlof, Spence, and Stiglitz (1970), there are
instances in which one party to a transaction has access to more information than the other party. In a lending
and borrowing scenario, information asymmetry occurs when the borrower has more knowledge about the
lender's financial situation than the lender has. Asymmetry information theory is relevant in this study as credit
monitoring is a critical tool used in today’s DT – SACCOs to monitor the performance of loans. Credit
monitoring seeks to employ sophisticated financial technology to relay and analyse critical information about
a credit applicant whereby the manual approach of credit monitoring is capable of providing significant results.
This approach of curbing information asymmetry will in turn lead to improved loan recovery approaches and
a reduction of the level of non – performing loans.
2.3 Resource – Based View Theory
The Resource – Based View Theory idea originated with Penrose's writings in 1959. According to the resourcebased view hypothesis, a company's expansion is contingent on the availability of a wide variety of internal
resources. Wernerfelt (1984) argues that RBV theory recognizes the importance of both the external
environment and the firm's organizational resources. Therefore, firms have a competitive edge if they are able
to fully leverage their distinctive, non-substitutable, and non-transferable elements of value. By and large,
resource based theory is used in this study particularly to show how DT – SACCOs have inherent capabilities
which can be utilized to deliver sustained competitive advantage. Inherent capabilities are driven towards better
design of the financial technology to offer effective financial products and services to boost financial
performance. In this context, RBV theory will be evidenced via a strong interaction between the tangible and
intangible infrastructure used by a DT – SACCO.
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2.1 Empirical Literature
Mobile Banking
The term "mobile banking" refers to a financial product that enables customers to access their bank accounts
and do a variety of banking-related tasks from their mobile devices. Account balance inquiries, wire transfers,
term deposit tracking, and loan applications are all examples of such actions. Sub-Saharan Africa and nations
like Kenya are major adopters of mobile banking since it provides easy and low-cost access to banking services.
The revolutionary effect that mobile banking has had on the financial environment, especially in places with
inadequate infrastructure like Sub-Saharan Africa, led to its selection as the focus variable for this research.
Despite infrastructure issues, the proliferation of mobile phone use makes mobile banking an essential engine
for expanding access to banking services and fostering economic growth. As the digital world continues to
rapidly evolve, it is crucial to evaluate the prospective benefits and challenges of mobile banking. Previous
research has shown that there is no single indication or methodology that can be used to quantify the effects of
mobile banking. Mobile phone use and connectivity are on the rise in Sub-Saharan Africa, as observed by
researchers such as Donou-Adonsou (2019). Rathee et al. (2020) and Obeng (2020) investigated how mobile
phones facilitate faster and cheaper information sharing, placing special emphasis on the convenience aspect
for consumers and businesses.
In addition, research shows that there are real economic benefits to mobile banking in the long run, including
a reduction in transmission expenses. Producers and shoppers alike stand to gain from these advantages, which
ripple throughout industries including agriculture and services. In Kenya, people who don't have access to a
reliable internet connection can still take advantage of banking services on the go thanks to the USSD format
banking and SMS banking. Ndung'u (2019) shows that the overall number of mobile phone subscribers in
Kenya has grown exponentially, suggesting a sizable market for mobile banking solutions. Higher transaction
volumes may occur as a result of the rising number of subscribers. Although DT-SACCO membership has
increased, SASRA (2019) notes that a sizable majority of Kenyans, almost 80% of the overall economically
productive population, remain unaffiliated with these organizations. In summary, mobile banking is a dynamic
and influential variable which can be studied using indicators like the number of mobile banking transactions
performed, the amount of money saved, the level of customer happiness, and the impact it has on various
economic sectors. To fully take advantage of mobile banking's potential to promote economic inclusion and
growth in Meru County, it is necessary to gain a thorough understanding of the impacts of this service on the
financial results of DT-SACCOs there.
Internet Banking
Strong financial technology infrastructure supports the widespread use of Internet banking, which has become
an integral part of contemporary banking. Financiers in the twenty-first century do the vast bulk of their
business on the internet, either through dedicated websites or mobile apps. Internet banking is a major niche
that all banks should exploit in light of the increasing use of the internet. Therefore, banks need a solid
infrastructure to efficiently facilitate online transactions. Marcu, M. R. (2021) argues that the growth of internet
banking faces substantial obstacles due to developments in information technology and changes in consumer
dynamics.
With the critical importance of online banking in the modern financial services sector, it was selected as a
factor in this research. Internet banking is becoming a must for banks that want to improve their bottom line
due to the proliferation of mobile devices and other forms of ICT. It's an important consideration because of
the market growth potential, cost savings, and ease it provides. Previous research has shown that assessing the
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effect of online banking on economic outcomes requires thinking about a number of different measures. Key
indicators of the importance of internet banking to an institution's operations include the volume of online
traffic and the number of customers who use online platforms or mobile applications.
In a study conducted by Raza et al., (2020), the level of service quality provided to customers has a significant
impact on their overall happiness with online banking and, in turn, the company's bottom line. The success of
online banking depends heavily on how well websites and mobile apps perform. The effect of internet banking
on consumer loyalty and financial success can be gleaned by analyzing interactions between users, traffic to
the website, and the rate of adoption of online services. Reducing expenses and threats is a priority for online
banks, as noted by Daka and Phiri (2019). Customers' need for speedy monetary transactions highlights the
need of a convenient service delivery model. An institution's success in fostering customer engagement can be
gauged by looking at the typical daily number of visitors to its website or online portal. To further assess the
cost savings brought about by internet banking, financial institutions might compare pre- and postimplementation cost-to-profit ratios. This is in line with the findings of Daneshvar and Ramesh (2012), who
used statistical methods of correlation and regression analysis to show that internet banking and other forms
of IT investment result in more deposits, a higher return on investment (ROI), greater efficiency (profit per
employee), fewer nonperforming assets, and lower personnel costs.
To sum up, internet banking KPIs include the volume of web traffic, the proportion of customers who are
satisfied, the effectiveness of the site, the amount of money saved, and the rate of expansion in online
transactions. If banks want to keep up with shifting customer preferences and innovate in the online banking
space, they need a firm grasp of how internet banking impacts bottom lines.
3.0 RESEARCH METHODOLOGY
3.1 Research Design
This study used a descriptive research approach. The researchers opted for a descriptive research strategy since
it allowed them to amass a substantial amount of information rapidly. According to Kerlinger (2005), this
strategy limits the researcher's ability to influence the study's variables. This study used a descriptive research
approach. The researchers opted for a descriptive research strategy since it allowed them to amass a substantial
amount of information rapidly. According to Kerlinger (2005), this strategy limits the researcher's ability to
influence the study's variables.
3.2 Study Population
There certainly nineteen SACCOs in Meru County that accept deposits, hence this study focused on this
specific subset of the population.
3.3 Data Collection
The study used secondary data sources to look into the specific impacts of FinTech on the financial
performance of DT - SACCOs in Meru County. Table 1 displays data acquired for the 19 DT- SACCOs for
the period 2018 – 2022. The table presents data on the number of internet banking users for different SACCOs
(Savings and Credit Cooperative Organizations) from 2018 to 2022. Each row represents a different SACCO,
and each column represents a specific year.
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Table 1: DT- SACCO Dataset
Deposit Taking SACCOs
Mobile Banking
2018
Internet Banking
2019
2020
2021
2022
2018
2019
2020
2021
2022
Mwalimu
National
Sacco Society
21300
Ltd
23400
28700
30000
33600
5000
9800
15300
18400
21100
Kenya Police
Sacco Society
16000
Ltd
18000
20000
25000
28000
3000
5800
9200
13800
17300
3
Afya
Sacco
4100
Society Ltd
5200
7500
9800
11600
2100
3500
6700
8200
9900
4
UNAITAS
Sacco Society
22600
Ltd
25800
30900
33000
38000
6100
7400
10900
12600
15000
Trans Nation
Sacco Society
7800
Ltd
10000
13900
17000
20000
4300
6800
10400
13900
14900
6
Solution Sacco
Society Ltd
8100
11300
14200
18000
22000
3500
5100
7900
10700
13000
7
UNISON
Sacco Society
2700
Ltd
4100
8200
9300
12600
1000
2800
6500
7800
9600
8
Yetu
Sacco
3100
Society Ltd
4700
6300
8600
11000
1800
2400
3500
5200
8500
9
Capital Sacco
2800
Society Ltd
5900
7300
8600
9100
800
1500
2100
2400
3900
10
Chai
Sacco
800
Society Ltd
1200
1700
2400
3200
200
420
630
900
1350
11
Centenary
Sacco Society
1800
Ltd
2500
3600
4100
5200
700
900
1350
1500
1900
Times-U
Sacco Society
2500
Ltd
3100
5700
7400
9800
500
1400
2700
3500
4200
1
2
5
12
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Jamii
Yetu
Sacco Society
450
Limited
670
1200
1800
2000
300
670
890
1000
1400
14
Dhabiti Sacco
Society Ltd
690
780
905
1420
1700
2000
300
550
740
900
15
Golden Pillar
Sacco Society
1600
Ltd
2200
3100
4500
6200
800
1000
1300
1700
2300
16
Siraji Sacco
1400
Society Ltd
1800
2900
3400
4100
800
1300
2000
2500
3200
17
Smart
Champion
Sacco Society
710
Ltd
920
1400
2600
3000
400
600
1000
1300
1800
Nyambene
Arimi Sacco
600
Society Ltd
1400
2200
3200
3700
300
450
900
1400
1700
Nexus Sacco
500
Society Ltd
740
820
1040
1520
250
340
510
640
800
13
18
19
3.4 Data Analysis
Data analysis was done using statistical package for social science to make observations in trends and patterns
in the adoption of mobile and internet banking among the SACCOs. Tables and graphs were used in presenting
and displaying data.
4.0 RESEARCH FINDINGS
Figure 1: No. of Regulated SACCOs with Mobile Money Services for their members
A total of 156 DT-SACCOs have implemented mobile money for their members using only the regular USSD
code cell phone service, which are available in both phone models and smart phones, whereas 75 DT-SACCOs
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have implemented mobile money for their members by employing both types of USSD Code as well as the
internet as well as App-based cash services. Of the NWDT-SACCOs (Non- Withdraw able Deposit Taking
SACCOs) that only offer push choices for their mobile money services, 53 had implemented the use of a USSD
code, while 28 had implemented combination the USSD code and internet/app-based money services on their
constituents.
4.1 Mobile banking on the financial performance of DT – SACCOs
From figure 2, it can be observed that there is a steady increase in the number of mobile banking users over
the years.
Figure 2: mobile banking on financial performance
Mobile Banking
45000
2018
40000
2019
35000
2020
30000
2021
25000
users
2022
20000
Linear (2018)
15000
Linear (2019)
10000
Linear (2020)
5000
Linear (2021)
0
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17 18 19
Linear (2022)
-5000
-10000
Sacco
Looking at specific SACCOs and groups of mobile banking users, variations in the growth rates can be
observed. For example, in Sacco No 1, the number of users increased from 21,300 in 2018 to 33,600 in 2022,
indicating a significant growth rate. Similarly, in Sacco no 4, the number of users increased from 22,600 in
2018 to 38,000 in 2022, showing a substantial growth rate as well.
On the other hand, some saccos show slower growth rates. For instance, sacco No. 10, the number of users
only increased from 800 in 2018 to 3,200 in 2022, indicating a relatively slower growth rate compared to other
groups.
These trends in mobile banking usage can be attributed to various factors. Several studies have examined the
factors influencing the adoption of mobile banking. Alalwan et al., (2017) found that the extent of customer
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motivation plays a crucial role in the successful implementation of mobile banking. Baabdullah et al., (2019)
also emphasized the importance of studying mobile banking as it is still a subject worthy of research.
Furthermore, the impact of mobile banking on bank performance and profitability has been investigated. A
study by Khadim & Islam (2022) reviewed the literature on the evaluation of customer satisfaction patterns in
mobile banking services. They found that mobile banking significantly improves bank profitability and
stability.
In addition to profitability, mobile banking has also been linked to financial inclusion. Ahmad et al. (2020)
conducted a review of mobile money's contribution to promoting financial inclusion and development, with a
focus on sub-Saharan Africa. They found that mobile money usage is highly associated with a higher
probability of bank account ownership, indicating its role in enhancing financial inclusion.
Moreover, the adoption of mobile banking has implications for the efficiency and operational performance of
commercial banks. Hordofa (2023) analyzed the impact of mobile banking adoption on the technical efficiency
of commercial banks in Ethiopia. The study found that the shift towards mobile banking opens up new
opportunities for commercial banks to enhance their operational efficiency and drive economic growth.
Overall, the data presented in figure 2 reflects the increasing popularity and adoption of mobile banking over
the years. This trend can be attributed to factors such as customer motivation, bank profitability, financial
inclusion, and operational efficiency. As mobile banking continues to evolve and expand, further research is
needed to explore its impact on various aspects of the banking sector.
4.2 Internet banking on the financial performance of DT – SACCOs
Analyzing the data in figure 3, it is observed that trends and patterns in the adoption of internet banking among
the SACCOs. Overall, there is a general increase in the number of internet banking users over the years. In
2018, the total number of internet banking users across all SACCOs was 31,500, and this number gradually
increased to 61,400 in 2022.Looking at specific SACCOs, we can see variations in the growth rates of internet
banking usage. Some SACCOs experienced significant growth in internet banking adoption, while others
showed relatively slower growth. For example, SACCO 1 had a steady increase in internet banking users from
5,000 in 2018 to 21,100 in 2022. Similarly, SACCO 4 had consistent growth from 6,100 in 2018 to 15,000 in
2022.
On the other hand, some SACCOs showed slower growth rates. For instance, SACCO 10 had a relatively
slower growth rate, with the number of internet banking users increasing from 200 in 2018 to 1,350 in 2022.
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Figure 3: Internet Banking
Internet Banking
25000
20000
2018
2019
Users
15000
2020
2021
2022
10000
Linear (2018)
Linear (2019)
5000
Linear (2020)
Linear (2021)
0
Linear (2022)
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17 18 19
-5000
Sacco
The adoption of internet banking is influenced by various factors. Several studies have examined the
determinants of internet banking adoption. Wang et al., (2003) conducted an empirical study on the
determinants of user acceptance of internet banking. They found that factors such as usability, the internet, and
the technology acceptance model play a significant role in the adoption of internet banking.
Furthermore, the impact of internet banking on customer satisfaction and loyalty has been investigated. Raza
et al., (2020) developed a modified e-SERVQUAL model to assess internet banking service quality, e-customer
satisfaction, and loyalty. They found that internet banking service quality significantly influences customer
satisfaction and loyalty.
The perceived usefulness and ease of use of internet banking have also been studied. Poon (2007) examined
the adoption of internet banking from the perspective of Malaysian consumers. The study found that the
convenience and accessibility of internet banking contribute to its adoption.
Moreover, the impact of external factors such as the COVID-19 pandemic on internet banking adoption has
been explored. Sudarsono et al., (2020) investigated the effect of the pandemic on the adoption of internet
banking in Indonesia. The study found that the perceived usefulness, ease of use, trust, subjective norm, and
attitude significantly influence customers' intention to adopt internet banking.
Additionally, the relationship between service quality dimensions and customer satisfaction in internet banking
has been examined. Rod et al., (2009) conducted a study on the relationship between service quality
dimensions, overall internet banking service quality, and customer satisfaction. The study found significant
relationships among online customer service quality, online information system quality, banking service
product quality, overall internet banking service quality, and customer satisfaction.
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Overall, the data presented in the table reflects the increasing adoption of internet banking among the SACCOs
over the years. The growth rates vary among the different SACCOs, with some experiencing significant
increases in internet banking usage, while others show relatively slower growth. These trends highlight the
changing preferences and behaviors of SACCO members towards digital banking services.
It is important to note that the data provided in the table only represents the number of internet banking users
and does not provide information on the specific services or transactions conducted through internet banking.
Further research and analysis would be required to understand the specific usage patterns and the impact of
internet banking on the operations and performance of these SACCOs.
4.3 Trendline analysis
Table 2: Linear Equations
Internet Banking
Mobile Banking
Year
Linear
R²
Linear
R²
y = -931.44x + 14554
R² = 0.5599
y = -239.21x + 4173.7
R² = 0.5683
y = -1067.8x + 17189
R² = 0.5963
y = -424.61x + 7008.2 R² = 0.7006
y = -1293.2x + 21380
R² = 0.6314
y = -678.75x + 11226 R² = 0.7377
y = -1440.8x + 24469
R² = 0.6698
y = -865.75x + 14351
y = -1640.4x + 28315
R² = 0.6779
y = -1020.4x + 17190 R² = 0.7821
2018
2019
2020
R² = 0.7489
2021
2022
The linear equations are in the form of y = mx + b ……………………………………………….. (1)
where:
y represents the dependent variable (financial performance).
x represents the independent variable (mobile banking).
m is the slope of the line, which indicates the rate of change of y with respect to x.
b is the y-intercept, which is the value of y when x is equal to 0.
On the other hand, R² (Coefficient of Determination) column provides the R-squared (R²) value for each
regression model. R² is a measure of how well the independent variable(s) in the model explain the variability
in the dependent variable. It ranges from 0 to 1, with higher values indicating a better fit of the model to the
data.
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In 2018, the linear equation for mobile banking usage is y = -931.44x + 14554, with an R² value of 0.5599.
This equation suggests that the mobile banking usage decreased by 931.44 units per year, starting from a base
value of 14,554. The R² value of 0.5599 indicates that approximately 55.99% of the variance in mobile banking
usage can be explained by the linear equation.
In 2019, the linear equation for mobile banking usage is y = -1067.8x + 17189, with an R² value of 0.5963.
This equation suggests a similar trend as in 2018, with a decrease in mobile banking usage by 1067.8 units per
year, starting from a base value of 17,189. The R² value of 0.5963 indicates that approximately 59.63% of the
variance in mobile banking usage can be explained by the linear equation.
In 2020, the linear equation for mobile banking usage is y = -1293.2x + 21380, with an R² value of 0.6314.
This equation suggests a further decrease in mobile banking usage by 1293.2 units per year, starting from a
base value of 21,380. The R² value of 0.6314 indicates that approximately 63.14% of the variance in mobile
banking usage can be explained by the linear equation.
In 2021, the linear equation for mobile banking usage is y = -1440.8x + 24469, with an R² value of 0.6698.
This equation suggests a continued decrease in mobile banking usage by 1440.8 units per year, starting from a
base value of 24,469. The R² value of 0.6698 indicates that approximately 66.98% of the variance in mobile
banking usage can be explained by the linear equation.
In 2022, the linear equation for mobile banking usage is y = -1640.4x + 28315, with an R² value of 0.6779.
This equation suggests a further decrease in mobile banking usage by 1640.4 units per year, starting from a
base value of 28,315. The R² value of 0.6779 indicates that approximately 67.79% of the variance in mobile
banking usage can be explained by the linear equation. This suggests a moderately good fit of the model to the
data.
Internet Banking
In 2018, the linear equation for internet banking usage is y = -239.21x + 4173.7, with an R² value of 0.5683.
This equation suggests that the internet banking usage decreased by 239.21 units per year, starting from a base
value of 4,173.7. The R² value of 0.5683 indicates that approximately 56.83% of the variance in internet
banking usage can be explained by the linear equation.
In 2019, the linear equation for internet banking usage is y = -424.61x + 7008.2, with an R² value of 0.7006.
This equation suggests a similar trend as in 2018, with a decrease in internet banking usage by 424.61 units
per year, starting from a base value of 7,008.2. The R² value of 0.7006 indicates that approximately 70.06% of
the variance in internet banking usage can be explained by the linear equation.
In 2020, the linear equation for internet banking usage is y = -678.75x + 11226, with an R² value of 0.7377.
This equation suggests a further decrease in internet banking usage by 678.75 units per year, starting from a
base value of 11,226. The R² value of 0.7377 indicates that approximately 73.77% of the variance in internet
banking usage can be explained by the linear equation.
In 2021, the linear equation for internet banking usage is y = -865.75x + 14351, with an R² value of 0.7489.
This equation suggests a continued decrease in internet banking usage by 865.75 units per year, starting from
a base value of 14,351. The R² value of 0.7489 indicates that approximately 74.89% of the variance in internet
banking usage can be explained by the linear equation.
In 2022, the linear equation for internet banking usage is y = -1020.4x + 17190, with an R² value of 0.7821.
This equation suggests a further decrease in internet banking usage by 1020.4 units per year, starting from a
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base value of 17,190. The R² value of 0.7821 indicates that approximately 78.21% of the variance in internet
banking usage can be explained by the linear equation.
Table 3: Inter-Item Correlation Matrix
Fintech
Effectiveness_mobile_banking
Fintech
1.000
Effectiveness_mobile_
banking
Fintech
.419
Effectiveness_Internet_
banking
Fintech
Effectiveness
_Internet_banking
.419
1.000
Correlations between items or variables in a dataset can be visualized using an Inter-Item Correlation Matrix.
There are three columns in this matrix, each representing a different type of banking convenience: “Fintech
Effectiveness on mobile banking," and Fintech Effectiveness on Internet banking." Correlation coefficients
between these factors are shown.
The values of correlation coefficients are on a scale from minus one to plus one, where:
If the variables are strongly linearly related and move in the same direction, then the correlation coefficient
will be 1. There’s a strong linear association between the variables even if they move in opposing directions,
as indicated by a correlation value of -1, which denotes a perfect negative correlation. There’s no linear
relationship between the variables if the correlation coefficient is 0.
Comparison of mobile banking's Fintech efficiency to that of Internet banking's Fintech effectiveness: 0.419.
Secondly, Fintech Effectiveness of mobile banking to Fintech Effectiveness of Internet banking (0.419): A
good and moderate association exists between “Fintech Effectiveness of mobile banking" and” Fintech
Effectiveness of Internet banking," as indicated by the correlation value of 0.419. That's why it's not surprising
that successful DT- SACCOs in the realm of mobile banking are equally successful in the realm of online
banking. The moderate relationship between these two variables shows that there may be commonalities or
synergies that contribute to the success of both mobile and online banking.
Stangor, C., & Walinga, J. (2019) suggest that a correlative study cannot be used to infer causality. The linear
link between the variables is the sole type of relationship captured by the correlation coefficients. Further
analysis and research is needed to demonstrate causal linkages or to understand the underlying reasons for
these correlations. Correlation coefficients must be interpreted carefully, taking into account both the overall
context and the particular variables being examined.
5.0 SUMMARY
The present chapter provides an overview of the study's outcomes concerning the assessment of the “Effect
of Fintech on the financial performance of DT-SACCOs. A case of Meru County.”. The study variables, mobile
banking, and internet banking, are presented in a systematic manner.
Both mobile banking and internet banking show an increasing trend in usage over the years, as indicated by
the coefficients for the year variable in the linear equations. The R² values for both mobile banking and internet
banking indicate that the linear equations can explain a moderate to strong proportion of the variance in usage.
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The R² values suggest that the linear equations provide a reasonable level of predictability in both mobile
banking and internet banking usage based on the year. Internet banking generally has higher R² values
compared to mobile banking, indicating a slightly stronger relationship between the year and usage in internet
banking.
Through internet banking, monetary transactions may be processed, transactions can be reconciled, and
account activity can be verified. Certain industries possess traditional modes of distribution or unique
requirements that cannot be catered to by digital banking services. The adoption of internet banking may be
hindered by apprehensions regarding cyber security and potential breaches of sensitive information. Certain
individuals exhibit a preference for in-person meetings with their banking associates in order to receive tailored
and individualised service. Certain individuals exhibit a preference for conventional banking methods such as
physical branches or engaging in dialogue with bank representatives. The advent of internet banking has
allowed the institution access to new forms of indirect income. In addition to keeping their deposits safe,
internet banking also helps banks get new consumers and customers are kept as a result of the bank's efficient
service delivery via internet banking.
5.1 Conclusions
Effect of Mobile banking on financial performance of deposit-taking SACCOs
Maleko, Liheta, Aikaruwa, Lukas, & Sumari (2013) opines that the implementation of mobile banking
technology holds significant promise for enhancing the financial performance of Savings and Credit
Cooperative Organizations (SACCOs), which are financial institutions that receive deposits from their
members. The potential for deposit-taking Savings and Credit Cooperatives (SACCOs) to leverage mobile
banking technology may yield favourable outcomes for the financial performance of the institution. The
utilization of mobile banking technology has the potential to enhance the operational efficiency, expand the
customer outreach, and elevate the level of member contentment for SACCOs.
According to Millan, Kamau, & Ibua, (2023), one of the primary benefits of mobile banking for SACCO
members is the enhanced convenience it provides. Savings and Credit Cooperatives (SACCOs) can enhance
their membership base by providing convenient access to diverse financial services through mobile technology.
The potential outcome of an enlarged membership base is an increase in deposit inflows, thereby enhancing
the liquidity position of SACCOs.
SACCOs can save money by using mobile banking because it improves transaction efficiency and decreases
operational costs. SACCOs can streamline their operations and reduce the amount of time spent on routine
tasks by providing members with the option to make deposits, withdrawals, and transfers electronically. The
implementation of this automated system reduces costs and improves productivity.
In addition, Mugo (2019) argues that mobile banking makes financial services more accessible by facilitating
interaction with customers who may have trouble visiting brick-and-mortar branches. To increase their
potential clientele, Savings and Credit Cooperatives (SACCOs) might expand their service areas to reach
previously unreached areas and underserved populations. This increased availability has the potential to foster
the expansion of SACCOs and have a beneficial effect on their economic efficiency.
To properly address the security concerns of mobile banking, according to Omino (2014), Savings and Credit
Cooperatives (SACCOs) are essential. These worries can be allayed and trust amongst members by
implementing effective security measures, disseminating information about potential threats, and updating
security policies on a regular basis.
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In conclusion, SACCOs that take deposits stand to benefit from the implementation of mobile banking
technologies. By taking advantage of mobile banking's accessibility, efficiency, and ease of use, SACCOs may
boost member engagement, attract new consumers, and streamline their operations. However, strong security
measures must be implemented as a top priority to protect customers' personal data and inspire confidence in
mobile banking.
5.2 Effect of Internet banking on financial performance of deposit-taking SACCOs
The provision of internet-based banking services is a challenging endeavour, as it is impeded by several factors
such as inadequate client awareness, slow internet speeds, insufficient internet banking alerts, limited market
penetration, low customer responsiveness, and customer illiteracy. Additional obstacles encompass inadequate
market reach, insufficient consumer engagement, and limited consumer literacy. Although internet banking
offers numerous benefits, it also introduces novel security risks for financial institutions. Due to intense
competition and the swift pace of technological progress, financial institutions are compelled to allocate
substantial financial resources towards the development and maintenance of their online banking infrastructure.
The heightened level of convenience offered by online banking is concomitant with an escalation in the
vulnerability of client data to potential compromise Tadesse (2016).
There are obstacles to overcome in the transition to the use of internet banking. Research by Oye & Sarjiyus
(2019) supports that one of the foremost obstacles of online banking pertains to upholding the security and
confidentiality of customer data and transactions, thereby raising concerns regarding privacy. Online banking
systems are exposed to considerable risks from cyber threats, including identity theft, hacking, and phishing.
It is imperative for SACCOs to adopt stringent security measures, encryption protocols, and authentication
methods to ensure the protection of customer data and deter unauthorized access. Also, the operational success
of internet banking is largely dependent on the reliability of its technological infrastructure, which encompasses
servers, networks, and software systems. The occurrence of disturbances or technical malfunctions within these
systems may lead to service interruptions, inaccuracies in transactions, or temporal lags. It is imperative for
SACCOs to allocate resources towards establishing dependable and adaptable technological infrastructure in
order to guarantee uninterrupted and seamless provision of online banking services.
The lack of awareness and comprehension of the hazards and optimal procedures linked to online banking may
be prevalent among numerous customers. Phishing attacks and social engineering tactics frequently leverage
users' deficient knowledge, inducing them to disclose sensitive data. It is imperative for SACCOs to allocate
resources towards user education initiatives aimed at augmenting customer awareness and advocating for
secure online banking practices. The utilization of internet banking also necessitates that patrons possess
dependable internet connectivity and appropriate technological devices, such as computers, smartphones, or
tablets. The adoption of online banking services may be hindered by inequalities in internet connectivity and
access, particularly in areas that are remote or underserved. The widespread availability of dependable internet
connectivity is imperative for the achievement and inclusiveness of online banking.
The provision of technical support and customer service is a crucial aspect of internet banking. Despite the
convenience it offers, customers may face technical challenges or require clarification on their online banking
transactions. It is imperative for financial institutions to offer comprehensive technical assistance and customer
service avenues to ensure timely resolution of customer concerns and challenges. The provision of customer
support that is both prompt and effective is of utmost importance in establishing credibility and upholding
customer contentment. In addition, Internet banking is subject to a multifaceted regulatory framework that
endeavours to safeguard the welfare of customers and forestall financial malfeasance. Financial institutions are
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obligated to adhere to a multitude of regulations, such as those pertaining to safeguarding data, preventing
illicit financial activities, and verifying the identities of their clients. The fulfilment of regulatory obligations
imposes an extra level of intricacy and expenditure on internet banking operations.
The potential financial gains associated with internet banking platforms make them an appealing target for
fraudsters and cybercriminals, resulting in increased incidents of fraud and cybercrime. It is imperative for
financial institutions to maintain a constant vigilance in detecting and identifying fraudulent activities, adopt
sophisticated fraud prevention mechanisms, and impart knowledge to their clientele regarding prevalent
fraudulent schemes and scams. The perpetual challenge for SACCOs that offer internet banking services is to
remain ahead of the constantly evolving cyber threats. Kaabachi, Ben Mrad, & Petrescu, 2017 argued the
establishment and maintenance of trust and confidence in internet banking services are pivotal factors for
customer adoption and retention. In order to foster trust among customers with respect to the safety and
integrity of their financial transactions carried out via internet banking channels, it is imperative for SACCOs
to exhibit transparency, reliability, and security.
To tackle these obstacles, a comprehensive strategy is necessary, encompassing technological innovations,
stringent security protocols, and client instruction, adherence to regulatory standards, and on-going
surveillance and enhancement of digital banking platforms. Through effective management of these
challenges, financial institutions can fully leverage the capabilities of online banking to offer customers
convenient, secure, and dependable financial services.
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