Int. Journal of Business Science and Applied Management, Volume 19, Issue 1, 2024
Mobile Banking Adoption: A Closer Look at the Role of Online
Convenience Dimensions
Mutya Tomasi
*
SRM Institute of Science and Technology
Kattankulathur, Tamil Nadu-603203, India
Tel: +918148684652
Email: tm6215@srmist.edu.in
Ilankadhir M
SRM Institute of Science and Technology
Kattankulathur, Tamil Nadu-603203, India
Tel: +918682813709
Email: ilankadm@srmist.edu.in
Abstract
The main focus of the study was two-fold: 1) identifying the most important online convenience factors that
financial institutions should prioritize to encourage consumers to adopt mobile banking, and 2) understanding
how the role of these factors differs within the context of developing countries. This presents a distinctive
perspective on mobile banking in developing countries whose customers have limited knowledge of mobile
banking functionality compared to those in developed economies. The study involved 274 participants from
Uganda. The results reveal that convenience in terms of access, transactions, and possession/post-possession
significantly and positively impacts consumers' intentions to adopt mobile banking. It was also found that
customers' intentions to adopt mobile banking play a crucial role in driving adoption and usage. However,
convenience factors related to search and evaluation were not found to significantly impact consumer intent to
adopt mobile banking. Overall, this study provides valuable insights for financial managers in developing
economies and contributes to the existing body of banking literature.
Keywords: mobile banking, online convenience, online convenience dimensions, mobile banking adoption
intention, mobile banking adoption
Copyright: The Author(s) - This paper is published by the International Journal of Business Science and
Applied Management under a Creative Commons Attribution 4.0 International Licence. Our journal is an open
access resource which means that all content is freely available without charge. Users are allowed to read,
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paper and our journal visit our website.
Submitted: 2023-06-24 / Accepted: 2024-03-07 / Published: 2024-03-09
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1. INTRODUCTION
Banks across the globe are introducing mobile banking solutions to provide customers with self-service
financial options. To facilitate this shift, online financial systems have been developed, and financial institutions
are now encouraging their clients to use digital financial services. Mobile banking is the most efficient and
effective way for both financial institutions and customers to carry out financial transactions (Calli, 2023).
Mobile phones allow customers to conveniently pay bills, transfer funds, and apply for loans (Jiale, 2022). As a
popular technology in the 21st century, mobile banking is recognized as a crucial pillar for inclusive financial
growth and development. It provides a convenient approach to reaching out to financially unbanked and
underbanked communities (Gallego-Losada et al, 2023). Financial institutions prefer mobile banking for its low
costs and increased customer reach, while customers appreciate its convenience. Mobile banking is a game-
changer for those who prioritize comfort and ease of use. According to Shankar and Rushi (2020), convenience
sets mobile banking apart from traditional banking services. Jebarajakirthy and Shankar (2021) emphasize the
significance of online convenience in today's world, where the Internet of Things has transformed how we
interact with technology. With online convenience, customers can easily access information and make informed
decisions about mobile banking services, without worrying about cumbersome processes. Instead, they can
enjoy an endless experience that caters to their interests and needs.
Mobile banking has become increasingly popular among consumers of financial services due to its access
convenience, search convenience, evaluation convenience, transaction convenience, and possession/post-
possession convenience (Shankar et al., 2020; Jadil et al., 2013; Shankar and Rishi, 2020; Shankar and
Jebarajakirthy 2021; Khan et al., 2022; Ong and Chong, 2023). Gupta and Dhingra (2022) note that customers
can perform financial transactions anytime, anywhere, and receive instant authentic feedback. In contrast, a
branch banking system requires a significant amount of resources, such as human and financial, to extend
financial services to unbanked and underbanked communities (Jebarajakirthy and Shankar, 2021). The
operational costs can easily become overwhelming for banks. Additionally, travelling to a branch bank for a
service can be both expensive and time-consuming for customers. Therefore, banking institutions are keen on
identifying the dimensions of online convenience that are crucial in encouraging customers to adopt mobile
banking.
While there have been efforts to understand the convenience of online services, there remains a gap in the
discussion (Jebarajakirthy and Shankar, 2021; Mombeuil and Uhde, 2021). Notably, previous research has
primarily focused on developed countries and major emerging economies like Germany, India, and China
(Shankar et al., 2021; Laukkanen, 2016; Chen et al., 2021). However, technology adoption plays a crucial role
in the economic growth of developing nations (World Bank, 2022). Those with lower incomes need access to
affordable financial services. Technological adoption can help reduce the social and economic disparities
between developing and developed nations (United Nations, 2018). For mobile banking customers in developing
countries, convenience is key to their adoption of mobile banking, as they typically have limited knowledge of
mobile banking functionality. While previous studies on factors influencing customers' intent to adopt mobile
banking in developing countries like Uganda have focused on various factors such as performance expectancy,
perceived security concern, trust, perceived usefulness, perceived ease of use, and perceived social influence
(Maduku, 2014; Murendo et al., 2018; Thusi, and Maduku 2020; Milly et al., 2021, Nonvide and Alinsato,
2023), they have paid little attention to the dimensions of online convenience.
In light of these circumstances, the purpose of this study is to investigate the key online convenience
factors that banks in low-income economies with customers who are less familiar with mobile banking
technology must prioritize to facilitate their adoption of mobile banking. These online convenience dimensions
include access, search, evaluation, transaction, and possession/post-possession convenience, as identified by
Shankar and Jebarajakirthy (2021), Khan et al. (2022), and Ong and Chong (2023). This study aims to illustrate
how each of these dimensions of online convenience impacts customersintent to embrace mobile banking in
developing countries. Furthermore, the study employs the stimulus-organism-response (S-O-R) theory
(Mehrabian and Russell, 1974) to demonstrate how environmental cues impact mobile banking customers'
behaviour in developing countries. The stimuli generated by the online convenience dimensions influence their
intentions (organism) to adopt mobile banking, and their response is to adopt and use mobile banking
(Jebarajakirthy and Shankar, 2021). Thus, this study aligns with the evolving expectations of customers for
mobile banking in developing countries such as Uganda.
2. REVIEW OF RELATED LITERATURE
2.1 Mobile Banking
Mobile banking has emerged as a powerful and efficient tool for connecting with customers. This
technology offers customers the convenience of executing a variety of transactions with ease, such as accessing
accounts, paying bills, transferring funds, securing loans, and making payments, as evidenced by studies
conducted by Ho et al. (2020), Jiale (2022), and Li et al. (2022). Despite its critical importance, research on the
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convenience of mobile banking for customers has mainly focused on developed countries and major economies
such as Germany, India, and China (Shankar et al., 2021; Laukkanen, 2016; Chen et al., 2021). As a result,
developing countries face challenges in providing seamless online services, with system downtime and delayed
or no response to toll-free lines negatively impacting customer experiences and increasing reliance on more
expensive traditional banking methods (Microsave, 2017; UNDP-Uganda, 2020). This is because the population
in developing countries often has limited knowledge of mobile banking functionality. According to the United
Nations (2018) and World Bank (2022), the low technological adoption in developing countries has increased
social and economic inequalities between developing and developed countries. This, combined with online
inconveniences has hindered efforts to make mobile banking accessible to everyocne in developing countries.
Previous studies on mobile banking in developing countries have identified factors such as perceived ease of
use, behavioural control, compatibility, social influence, performance expectancies, and hedonic motivations
that impact customers’ intention to adopt mobile banking (Shankar et al, 2020, Shankar and Rushi, 2020, Zhu et
al., 2022, Jiale, 2022, Ciunova-Shuleska et al., 2022, Li et al, 2022, Samsudeen, 2020). However, despite the
increasing adoption of mobile banking for its convenience, this aspect of banking has received little attention,
particularly in developing countries (Shankar and Rushi, 2020).
2.2 Online Convenience
According to Chowdhury (2023), convenience is the most important factor that influences consumers'
purchasing decisions. This is particularly relevant when it comes to mobile banking adoption, as customers are
drawn to the ease and efficiency that online banking offers. With online convenience, customers can quickly
compare prices, make decisions, and complete transactions with minimal effort and cost (Jebarajakirthy and
Shankar, 2021). As a result, banks worldwide are investing significant resources in developing software and
training employees to provide effective and efficient online banking services (Duarte et al., 2018; Mutya, 2020).
Customers value the convenience of time-saving, mobility, less effort, and overall efficiency, which has made
online convenience an attractive prospect for the banking industry (Shankar et al., 2021; Khan et al., 2022).
Although visiting a financial institution can be time-consuming and require effort, customers still expect quick
and efficient service (Duarte et al., 2018). Previous studies have identified the most critical factors of online
convenience to be access, search, evaluation, transaction, possession, and post-possession convenience
(Mahapatra, 2017; Shankar, 2019; Shankar and Rushi, 2020; Jebarajakirthy and Shankar, 2021). Mahapatra
(2017) noted that search and possession convenience is linked to consumption, while access, evaluation, and
post-possession convenience are linked to continued usage. Shankar and Rushi (2020) and Jebarajakirthy and
Shankar (2021) found that access, transaction, possession, and post-possessions are strongly correlated.
However, Benoit et al. (2017) identified search convenience as a significant dimension, and Kaura (2017)
demonstrated that all dimensions play a crucial role in enabling the adoption of mobile banking.
2.3 Theoretical Background
This study utilizes the stimulus-organism-response model developed by Mehrabian and Russell (1974) to
showcase how changes in personal behaviour can be attributed to environmental cues that are processed by
individuals. Stimulus represents the external environmental cues that impact an individual’s behaviour. while an
organism is the internal condition reflected in an individual as a result of the stimulus. On the other hand,
response is the feedback expressed by an individual when the stimulus influences the organism. Since
technology is an external factor that causes the reaction and behavioural change among individuals, this makes
S-O-R appropriate in the study of online convenience dimensions and mobile banking. Similarly, this study
presents online convenience dimensions and mobile banking in developing countries where the customers have
limited knowledge of mobile banking functionality. This makes online convenience factors necessary stimuli to
influence individuals’ intentions to adopt mobile banking. In fact, a previous study by Shakar and Rishi (2020)
used S-O-R in the study of mobile banking in India. Sun et al. (2021) and Duong (2023) also used S-O-R to
study individuals’ intentions and final decision-making. Similarly, the Laato et al, (2020) study supports
Mehrabian and Russell's (1974) theory, indicating that surrounding cues influence an individual’s intention to
respond. Against such a backdrop, the S-O-R model is fit for this study. Access convenience, search
convenience, evaluation convenience, transaction convenience, and possession/post-possession convenience
provide an easy and quick environment for customers to use mobile banking services anytime and anywhere. On
that note, online convenience is a stimulus that influences customers' intention (organism) to adopt mobile
banking, ultimately leading to the customers' adoption and use of mobile banking (response). Thus, the study
identifies access convenience, search convenience, evaluation convenience, transaction convenience, and
possession/post-possession convenience as factors that stimulate and increase customers' intention to adopt and
use mobile banking, as shown in Figure 1.
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2.4 Hypothesis Development
According to research by Roy et al. (2018) and Jebarajakirthy and Shankar (2021), access convenience
involves factors such as internet site accessibility, product availability online, and flexibility in terms of time
and place. For mobile banking services, ease and simplicity of access and obtaining services are the most crucial
aspects of access convenience. Customers today desire quick access to banking services on their mobile devices
from anywhere in the world in the least amount of time possible. This high level of convenience can result in
satisfied customers who may refer others to the bank, ultimately leading to long-term profits for the bank.
Additionally, banks can avoid heavy investment in creating new physical branches to reach potential customers.
In fact, Shankar et al. (2021) found that establishing branch banks may have limited value in a growing green
economy. Therefore, we hypothesize that:
H1: Access convenience has a positive impact on mobile banking adoption intention.
The use of mobile banking services is on the rise as customers increasingly seek information prior to
making their purchasing decisions. This trend, driven by advances in technology and the internet, has led
customers to view mobile virtual platforms as convenient and cost-effective sources for obtaining necessary
information (Mahapatra, 2017). To meet these expectations, banks have to prioritize efforts to make the search
process efficient and effective. Customers can easily access pertinent information on their mobile devices at any
time, providing a faster and simpler banking experience (Benoit et al., 2017). However, if the search value in
terms of time and effort is deemed excessive, customers may abandon the service (Shankar, 2020). Therefore,
banks that offer relevant and accurate information will have an advantage in attracting and retaining customers.
By minimizing transportation expenses and avoiding long queues, customers are encouraged to make informed
decisions and banks can build their consumer base. Thus, hypothesis 2 states that:
H2: Search convenience has a positive impact on mobile banking adoption intention.
When it comes to mobile banking, customers want to make informed decisions. Comparing products based
on cost-effectiveness, time utilization, and necessary effort is key. Clear and concise product descriptions are
essential for customers to make rational choices (Shankar, 2021). Factors such as product information, pricing,
performance, and authenticity can all contribute to a customer's decision-making process (Duarte et al., 2018).
Online reviews and feedback make it easy for customers to evaluate products before making a choice.
Comparing financial institution products and pricing can help customers find exceptional deals (Jiang et al.,
2013). In-person banking can make it difficult for customers to connect with others and evaluate products.
However, the convenience of online evaluations can give customers confidence in adopting mobile banking.
Therefore, it can be hypothesized that:
H3: Evaluation convenience positively impacts mobile banking adoption intention.
The demand for speed and accuracy in the digital business world is increasing, and this trend has had a
significant impact on the banking sector due to the emergence of financial technology. According to Shankar
(2019), customers want a seamless mobile banking system that is simple, quick, and cost-effective. They also
prefer transaction confirmation, encryption, and reliable tracking options in case of failed transactions to save
time, effort, and money (Shankar and Rishi, 2020). When transactions are completed quickly and efficiently,
customers experience increased happiness and may become more likely to refer others to the bank. With the
growing availability of technology, customers now prefer self-service options that allow them to handle their
transactions and gain financial skills. This approach saves time and money without any interruption. In contrast,
visiting a physical bank branch can be costly and may not help customers understand the banking system's
workings or complete their transactions (Shankar et al., 2021). Therefore, hypothesis 4 suggests that
H4: Transaction convenience positively impacts mobile banking adoption intention.
Customers engage in business transactions primarily to obtain possession benefits. The transaction is
considered successful once the intended beneficiary receives the product or service (Aw, 2019). However, due
to technological failures in online transactions, possession convenience has become a focal point for
stakeholders in the banking industry. It decreases uncertainty among customers regarding future transactions,
allowing them to reap several benefits with minimal time and effort, such as on-the-spot cash withdrawals,
deposits, and secure investments (Khan et al., 2022). Additionally, post-possession convenience refers to the
"time and effort required to contact a provider after a specific transaction" (Jebarajakirthy and Shankar, 2021).
Customers often experience transaction failures due to technical challenges such as connectivity issues and slow
internet speeds (Shankar, 2020). Banks are offering a range of online tools to address such issues, including
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artificial intelligence-powered real-time grievance status monitoring and question-and-answer links to provide
swift responses to transaction interruptions. This enables customers to overcome obstacles effortlessly without
wasting time or exerting much effort. However, if customers opt for branch banking, they may have to pay for
transportation and spend time visiting the branch to resolve their transaction issues. Therefore, the less time and
effort customers spend on managing a failed transaction, the greater their perceived online convenience (Duarte
et al., 2018). Hence hypothesis 5 posits that:
H5: Possession/post-possession convenience has a positive impact on mobile banking adoption intention.
According to Shankar and Rishi (2020), the desire to utilize mobile banking often results in its successful
adoption and usage. This adoption is heavily influenced by customers' initial intention to use mobile banking, as
noted by Akhtar et al. (2019) and Ho et al. (2020). If customers perceive mobile banking as a solution that
satisfies their financial requirements, they are more likely to embrace it and continue using it. Therefore, we
propose hypothesis 6, which suggests that:
H6: A strong mobile banking adoption intention leads to increased mobile banking adoption.
Figure 1: Study model
AC=Access convenience, SC=Search convenience EC=Evaluation convenience, TC=transaction convenience,
PPC=Possession/post-possession convenience
3. RESEARCH METHODOLOGY
The research analyzed individuals from Uganda who utilized mobile banking services. Despite being a
low-income country, the widespread use of mobile banking, along with an abundance of digital financial retail
outlets and a growing internet usage associated with a high youth population, made Uganda an ideal setting for
this study (Balgobin and Dubus, 2022). The researchers utilized a systematic sampling approach to gather data
through a paper-based questionnaire. Financial retail agents in Kampala City and Mbale City, where mobile
banking usage was rapidly increasing, were visited to collect data. To ensure unbiased results, a screening
question was employed to filter out non-mobile banking users. Additionally, the systematic technique was used
to approach every fourth customer, rather than just selecting individuals who volunteered to participate. This
helped mitigate family bias. Ultimately, 274 out of the 305 questionnaires distributed (89.8% response rate)
were suitable for analysis. As customers are now able to conduct transactions across multiple financial
platforms, the institutional effect has been reduced. Financial retail agents represent various banks and
telecommunication networks that provide mobile banking services. The measurement items used in this study
were adapted from previous research on online convenience and mobile banking adoption, with some
modifications made to meet the study's specific purpose. The study includes three items on access convenience
(Jiang et al., 2013; Jebarajakirthy and Shankar, 2021), three items on search convenience (Jebarajakirthy and
Shankar, 2021), three items on evaluation convenience (Shankar and Rishi, 2020), three items on transaction
convenience (Duarte et al, 2018; Jebarajakirthy and Shankar, 2021), four items on possession/post-possession
convenience (Shankar and Rishi, 2020; Jebarajakirthy and Shankar, 2021), three items on mobile banking
adoption intention (Shankar and Rishi, 2020), and three items on mobile money adoption (Jebarajakirthy and
Shankar, 2021).⁠⁠⁠⁠⁠⁠⁠
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4. RESULTS
Table 1: Demographic profiles
Category
Number = 274
Percentage
Gender
Male
Female
124
150
45.3
54.7
Age
15-25 years
25-35 years
35-45 years
45-55 years
107
104
50
13
39.1
37.9
18.2
4.8
Education
Primary
Secondary
Bachelor degree
Master degree
33
126
98
17
26.0
61.0
35.7
6.2
Experience
Less than 5 years
5-10 years
10-15 years
166
78
30
60.6
28.5
10.9
Table 2: Reliability and Validity
Constructs of Online Convenience
Statements
Access Convenience
(α=0.913, CR=0.916, AVE=0.779)
I can use mobile banking services anytime
I can use mobile banking services anywhere
I can always access mobile banking
Search Convenience
(α=0.906, CR=0.909, AVE=0.765)
It is easy to operate the mobile banking application
I can find what I want without having to look elsewhere
I can get useful information on the application
Evaluation Convenience
(α=0.899, CR=0.867, AVE=0.683)
The application provides detailed service specifications
There is sufficient information to identify different products
It provides an interactive interface with icons and images
Transaction Convenience
(α=0.869, CR=0.874, AVE=0.694)
I can complete my transaction easily with mobile banking
I take a short time to complete a transaction
I always feel safe providing my data on the platform
Possession/Post possession
Convenience
(α=0.888, CR=0.894, AVE=0.666)
I take a short time to get what I want
It takes less effort to get what I want
It is easy to take care of failed transactions
Any after-consumption problems are quickly resolved
Mobile banking Adoption Intention
(α=0.869, CR=0.874, AVE=0.694)
I intend to use m-banking in the future.
I expect that I will use m-banking in the future
I plan to use m-banking applications in the future
Mobile Banking Adoption
(α=0.887, CR=0.894, AVE=0.727)
I will continue to avail myself of services over the mobile banking platform
I prefer to use mobile banking for financial services
I will use mobile banking more often
Table 3: Discriminant validity
SC
PPC
Access Convenience
Search Convenience
0.875
a
Evaluation Convenience
0.044
Transaction Convenience
0.431**
Possession/Post Possession Convenience
0.412**
0.816
a
Mobile Banking Adoption Intention
0.489**
0.720**
Mobile Banking Adoption
0.352**
0.485**
Correlation is significant at p<0.01.
a
the square root of AVE of each latent construct.
Mutya Tomasi and Ilankadhir M.
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Table 4: Path coefficients
coefficients
Access Convenience Mobile Banking Adoption Intention
0.358
Search Convenience Mobile Banking Adoption Intention
0.083
Evaluation Convenience Mobile Banking Adoption Intention
-0.015
Transaction Convenience Mobile Banking Adoption Intention
0.303
Possession/Post Possession Convenience Mobile Banking Adoption Intention
0.291
Mobile Banking Adoption Intention Mobile Banking Adoption
0.841
Standardized Root Mean Squared Residual (SRMR)=0.041, d_ULS=0.431, d_G=0.521, Chi-Square=728.112, Normed Fit
Index (NFI)=0.853
4.1 Path Analysis
The researchers utilized Smart PLS4 to create a structural equation model that examined the proposed
hypotheses. Results in Table 4 and Figure 2 reveal that access convenience (b=0.358), possession/post-
possession convenience (b=0.291), and transaction convenience (b=0.303) significantly increase customers'
likelihood of adopting mobile banking. Likewise, the intention to adopt mobile banking (b=0.841) significantly
impacts mobile banking adoption. However, neither evaluation convenience (b=-0.015) nor search convenience
(b=0.083) significantly influenced customers' intentions to adopt mobile banking. Therefore, we accept
hypotheses one (H1), four (H4), five (H5), and six (H6) while rejecting hypotheses two (H2) and three (H3).
Additionally, the R2 value for intention to adopt mobile banking was 0.714, and for actual adoption, it was
0.707. This indicates that the proposed model effectively explains 71.4% of the variation in customer intent to
adopt mobile banking and 70.7% of the variation in mobile banking adoption. Moreover, all variables had a
variance inflation factor (VIF) of less than 2, indicating no multi-collinearity. The model had a Standardized
Root Mean Squared Residual (SRMR) of 0.041, d ULS of 0.431, d G of 0.521, Chi-Square of 728.112, and
Normed Fit Index (NFI) of 0.853, signifying its acceptability and fit, as reported by Hair (2017).
Figure 2: model path results
5. DISCUSSION OF RESULTS
In today's banking landscape, mobile banking has become a necessity for those who want to participate in
the system. It offers unparalleled convenience, allowing consumers to conduct financial transactions effortlessly
from anywhere in the world (Benoit et al., 2017, Shankar and Rushi, 2020). Due to its user-friendly interface
and simplicity, banks are investing more resources in enhancing their online customer experience (Duarte et al.,
2018). In Uganda, banks are actively seeking ways to improve their online services. Our research, outlined in
Table 4, reveals that access convenience, transaction convenience, and possession/post-possession convenience
are the key factors that positively impact customers' willingness to adopt mobile banking.
Customers can conveniently access their bank's internet-based site, and financial products can be obtained
quickly through online platforms from anywhere (Roy et al., 2018). This exceptional convenience often leads to
satisfied customers recommending the bank to others, ultimately increasing revenues without the need for new
bank locations. The most crucial aspects of access convenience are the ease and simplicity of accessing and
utilizing mobile banking services. The study also found that customers value transaction convenience, with a
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54
significant impact on their intent to adopt mobile banking (Jebarajakirthy and Shankar, 2021). Customers desire
a seamless mobile banking system that allows them to perform transactions quickly, easily, and economically.
They prioritize transaction convenience for fast confirmation and end-to-end encryption to save time and ensure
security (Shankar and Rishi, 2020). Nowadays, customers prefer self-service over traditional banking services,
as mobile banking empowers them to manage their transactions and develop their financial abilities.
The study findings indicate that possession/post-possession convenience plays a crucial role in influencing
customers' inclination towards mobile banking, which is consistent with the research conducted by Duarte et al.
(2018) and Jebarajakirthy and Shankar (2021). As per Aw (2019), a transaction is considered successful only
when the intended recipient receives the product or service. This makes it possible for customers to transfer
money effortlessly and quickly to anyone and anywhere, as noted by Khan et al. (2022). Furthermore, post-
possession convenience enables customers to resolve any challenge with financial institutions swiftly and with
minimal effort. However, the interruptions are typically due to low internet speed, which leads to transaction
failure, in line with the findings in Kaura (2013), Mahapatra (2017), Shankar and Rushi (2020), and
Jebarajakirthy and Shankar (2021). They all found possession/post-possession convenience, transaction
convenience, and access convenience to be significant predictors of customers' intention to adopt mobile
banking. Our results also reveal that customers with high intent to adopt mobile banking are more likely to adopt
and use mobile banking products and services, which is consistent with the findings of Laukkanen (2016), Chen
et al. (2021), and Shankar and Rushi (2020). These studies indicate that environmental cues, including online
convenience dimensions, can stimulate customers' organisms into increased intention to adopt mobile banking,
which ultimately results in actual adoption and usage.
However, the results of a recent study have shown that customers' inclination toward mobile banking
remains largely unaffected by evaluation and search convenience. These results align with previous findings by
Shankar and Rushi (2020) and Jebarajakirthy and Shankar (2021), suggesting that visiting a physical bank can
help customers better understand and explore new financial products and services. By doing so, customers can
connect with bank executives and gain insights into the latest developments, thereby reducing the predictive
value of evaluation and search convenience on customers' adoption of mobile banking. Similarly, customers
may not be able to notice changes in online banking systems as their primary focus is on completing
transactions. Consequently, search convenience is deemed a weak determinant of customers' intention to
embrace mobile banking. Moreover, the study found that evaluation convenience is also a weak predictor since
customers may lack the financial knowledge and expertise required to compare and evaluate financial products
and services online. Therefore, they may need to consult branch banks for guidance and advice to make
informed decisions. These findings correspond with those of previous studies in India by Shankar and Rushi
(2020) and Shankar and Jebarajakirthy (2021), indicating that access convenience, transaction convenience, and
possession/post-possession convenience dimensions of online convenience are more influential than evaluation
and search convenience.
However, these results contradict the previous studies conducted by Mahapatra (2017) and Kaura (2013),
who discovered that search convenience plays a significant role in customers' decision to adopt mobile banking.
According to Mahapatra (2017) and Kaura (2013), mobile banking applications offer users links to question-
and-answer pages, detailed information about products and services, and clear terms and conditions, making it
easy to search for information. However, some information concerning costs and other operations of new
products and services may not be available online, requiring a visit to the branch bank. Additionally, Duarte et
al. (2018) found that evaluation convenience has a positive and significant impact on customers' adoption of
mobile banking. Nevertheless, the findings of Shankar and Rushi (2020) and Shankar and Jebarajakirthy (2021)
suggest that customers' limited digital financial knowledge necessitates a visit to branch banks for advice and
guidance to enable them to make informed evaluations for rational decision-making.
Accordingly, the results of this study provide a distinctive perspective on mobile banking for customers in
low-income countries. While research in developed and major emerging economies has focused on the
convenience of mobile banking apps and their operations for customers with a better understanding, this study is
specifically relevant to developing countries whose customers have limited knowledge of mobile banking
functionality. The findings of the study revealed that mobile banking adoption in developing countries is
significantly influenced by access convenience, transaction convenience, and possession/post-possession
convenience. This aligns with the expectations of the people in developing countries towards the adoption of
new technologies (World Bank, 2022). In developing countries, where the majority of the population is less
informed about mobile banking operations, quick access to mobile banking services, smooth transaction flow,
and timely possession of services are preferred. In the event of any interruptions, the availability of online easy-
to-understand steps is crucial in addressing failed mobile banking performances. A convenient mobile banking
system can aid in reducing the adoption divide globally and create a shift in developing countries from costly
traditional branch banking to efficient mobile banking (Shankar and Rishi, 2020). Developed countries often
advocate for mobile banking as a convenient mode of financial operations for their citizens. However, for
developing nations, convenient mobile banking can also serve as a mechanism to increase adoption rates and
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promote inclusive financial development to eradicate poverty. This trend is primarily driven by the need to
provide basic financial services to the unbanked population, which is a critical component of financial inclusion
efforts. In this context, mobile banking has emerged as a powerful tool that can significantly enhance financial
access and inclusion, particularly in remote and underserved areas. As such, mobile banking is increasingly
being recognized as a key driver of economic growth and development in developing countries. Therefore,
strengthening convenience in technological adoption improves information accessibility, promotes innovative
research, and creates balanced competition between developed and developing countries (United Nations, 2018).
On a similar note, developing countries still need strong and well-distributed branch banking systems that will
enable people to consult whenever there is a need to evaluate the available financial products and services
(Jebarajakirthy and Shankar, 2021). This is because the study results revealed that evaluation and search
convenience did not have a significant influence on customers' mobile banking adoption intentions. These
branch banks would assist customers in searching for detailed information, which is relevant in developing
countries where people have not built significant capacity to understand current advances in mobile banking
technology. However, this may be of minimal importance in developed countries where people have a better
interaction and understanding of advances in mobile banking operations.
5.1 Theoretical
This study is a valuable addition to the limited research available on online convenience in the banking
sector, particularly in low-income economies. The findings shed light on the online convenience dimensions that
financial institution managers in countries like Uganda should prioritize. This is especially important given the
unique characteristics of mobile banking customers in low-income nations, who often have limited knowledge
of mobile banking operations compared to those in developed and major emerging economies. It is noteworthy
that the online convenience dimensions explored in this study can be applied to other fields such as insurance
and education to enhance understanding. Additionally, the study's results can assist central banks of low-income
countries in developing mobile banking regulations that prioritize customer experience. Furthermore, this study
contributes to the literature on the usability, efficiency, and effectiveness of mobile banking, which is essential
for motivating customers to adopt this remarkable innovation. Most significantly, the study provides a
geographical expansion of the mobile banking and online convenience literature (Duarte et al.,2018; Shankar
and Rushi, 2020; Jebarajakirthy and Shankar, 2021).
5.2 Managerial Implications
Financial institutions are increasingly investing in financial technology to better serve their customers.
However, these institutions must pay close attention to the user experience of their mobile banking platforms
and provide relevant information online. By investing in technology that prioritizes convenience for customers,
financial institutions can offer easy access to banking services at any time and from anywhere. This approach is
supported by research in the banking sector. To ensure successful adoption, financial institutions must focus on
creating user-friendly mobile banking platforms. All necessary information should be readily available online so
that customers can make informed financial decisions when using these services. The study identifies ease of
access, transactions, possession, and post-possession conveniences as significant factors in online convenience
that will benefit customers. However, it is also important for banks to maintain physical branches where clients
can receive assistance in navigating new products and services. In addition to prioritizing customer satisfaction,
financial institutions should also strive for customer delight within the mobile banking ecosystem. This can be
achieved through a user-friendly interface that offers one-click solutions and strategies for maintaining the
customer's positive experience. Other essential requirements include clear links to FAQs, no fees for
unsuccessful transactions, and up-to-date online applications to avoid system crashes. By prioritizing user
experience and convenience, financial institutions can provide customers with a seamless mobile banking
experience that saves time and effort.
6. LIMITATIONS AND AREAS OF FURTHER RESEARCH
The landscape of mobile banking is constantly shifting with the emergence of new technologies. It is
important to note that this study may not fully capture the evolving trends in consumer behaviour, as it is a
cross-sectional analysis and mobile banking adoption is a rapidly changing area within the field of behavioural
finance. Nonetheless, this study sheds light on the convenience factor when it comes to customer adoption in
low-income economies, an area that has been under-researched. Moving forward, a longitudinal study would be
necessary to establish cause-and-effect relationships. Additionally, the sample size of 274 Ugandans is relatively
small, given the country's large number of mobile banking users. Future research should aim for larger, more
comparative samples. This study is the first of its kind to explore how online convenience dimensions impact
the adoption of mobile banking in the Sub-Saharan African region, making it a significant contribution to the
field. To further advance research in this area, future studies could explore such mediators and moderators as
perceived usefulness, relative advantage, perceived utilitarian and hedonic values, trust, habits, and adaptability.
Int. Journal of Business Science and Applied Management / Business-and-Management.org
56
Theories like Technology Adoption, Innovation Diffusion, cognitive-motivational-relational, and Planned
Behaviour could also be considered, rather than the traditional stimulus-organism-response approach.
7. CONCLUSION/ RECOMMENDATION
According to Shankar and Rushi (2020), banking institutions need to embrace technological modernization
to provide customers with simple, timely, and economical services. To increase customer delight and value
discovery within the banking sector, banks should strive to make their mobile banking systems as convenient as
possible. This study identifies access convenience, transaction convenience, and possession/post-possession as
the primary dimensions of online convenience that have a significant positive impact on customers' intention to
adopt mobile banking. The ease of use associated with mobile banking positively influences customers'
intention to adopt and utilize mobile money products and services. Furthermore, the global coverage, pleasant
interface, and opportunities for fun and enjoyment with family members, colleagues, and religious fellows
motivate customers to embrace mobile banking.
As customer complaints about mobile banking continue to rise, it becomes increasingly important to
understand the user interface, processing time, and occurrence rate of unsuccessful transactions. Although
mobile banking has the potential to provide customer satisfaction, value discovery, and delight, it has not yet
reached its full potential. Therefore, financial institutions must exercise caution and invest time, energy, and
resources to ensure that customers can enjoy access convenience, transaction convenience, and possession/post-
possession convenience. By doing so, they can increase customers' intention to adopt mobile banking, leading to
greater adoption and utilization of mobile banking.
REFERENCES
Akhtar, S., Irfan, M., Sarwar, A., & Rashid, Q. U. A. (2019). Factors influencing individuals' intention to adopt
mobile banking in China and Pakistan: The moderating role of cultural values. Journal of Public Affairs,
19(1), e1884.
Benoit, S., Klose, S., & Ettinger, A. (2017). Linking service convenience to satisfaction: dimensions and key
moderators. Journal of Services Marketing.
Çallı, L. (2023). Exploring mobile banking adoption and service quality features through user-generated
content: The application of a topic modelling approach to Google Play Store reviews. International Journal
of Bank Marketing, 41(2), 428-454.
Chen, X., You, X., & Chang, V. (2021). FinTech and commercial banks' performance in China: A leap forward
or survival of the fittest? Technological Forecasting and Social Change, 166, 120645.
Chowdhury, R. (2023). Impact of perceived convenience, service quality and security on consumers’ behavioral
intention towards online food delivery services: the role of attitude as mediator. SN Business & Economics,
3(1), 29.
Ciunova-Shuleska, A., Palamidovska-Sterjadovska, N., & Prodanova, J. (2022). What drives m-banking
customers to continue using m-banking services? Journal of Business Research, 139, 731-739.
Duarte, P., e Silva, S. C., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping
convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer
Services, 44, 161-169.
Duong, C. D. (2023). Applying the stimulus-organism-response theory to investigate determinants of students’
social entrepreneurship: moderation role of perceived university support. Social Enterprise Journal, 19(2),
167-192.
Gupta, S., & Dhingra, S. (2022). Past, present and future of mobile financial services: A critique, review and
future agenda. International Journal of Consumer Studies, 46(6), 2104-2127.
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares
structural equation modeling. saGe publications.
Ho, J. C., Wu, C. G., Lee, C. S., & Pham, T. T. T. (2020). Factors affecting the behavioral intention to adopt
mobile banking: An international comparison. Technology in Society, 63, 101360.
Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the mobile banking
literature: The moderating role of sample size and culture. Journal of Business Research, 132, 354-372.
Mutya Tomasi and Ilankadhir M.
57
Jebarajakirthy, C., & Shankar, A. (2021). Impact of online convenience on mobile banking adoption intention:
A moderated mediation approach. Journal of Retailing and Consumer Services, 58, 102323.
Jiang, L. A., Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping
convenience. Journal of Service management.
Khan, M. R., Rana, S., & Hosen, M. I. (2022). Impact of trustworthiness on the usage of m-banking apps: A
study on Bangladeshi consumers. Business Perspectives and Research, 10(2), 234-250.
Kim, M. J., Lee, C. K., & Jung, T. (2020). Exploring consumer behavior in virtual reality tourism using an
extended stimulus-organism-response model. Journal of travel research, 59(1), 69-89.
Kini, R. B., Bolar, K., Rofin, T. M., Mukherjee, S., & Bhattacharjee, S. (2023). Acceptance of Location-Based
Advertising by Young Consumers: A Stimulus-Organism-Response (SOR) Model Perspective. Information
Systems Management, 1-19.
Laato, S., Islam, A. N., Farooq, A., & Dhir, A. (2020). Unusual purchasing behavior during the early stages of
the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer
Services, 57, 102224.
Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations:
The case of the Internet and mobile banking. Journal of Business Research, 69(7), 2432-2439.
Li, G., Zhang, X., & Zhang, G. (2022). To Use or Not to Use: It Is a QuestionAn Empirical Study on the
Adoption of Mobile Finance. Sustainability, 14(17), 10516.
Lopes, R., Façanha, A. R., & Viana, W. (2022, November). I can’t pay! Accessibility analysis of mobile
banking apps. In Proceedings of the Brazilian Symposium on Multimedia and the Web (pp. 253-257).
Maduku, D. K. (2014). Behavioural intention towards mobile banking usage by South African retail banking
customers. Investment management and financial innovations, 11(3), 37-51.
Mahapatra, S. (2017). Mobile shopping among young consumers: an empirical study in an emerging
market. International Journal of Retail & Distribution Management.
Malaquias, F., Malaquias, R., & Hwang, Y. (2018). Understanding the determinants of mobile banking
adoption: A longitudinal study in Brazil. Electronic Commerce Research and Applications, 30, 1-7.
Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking
between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust.
Technology in Society, 59, 101151.
MicroSave Consulting (2017) Quality and Usage of Digital Financial Services. Retrieved on 20 June 2023
https;//www.un.org
Milly, N., Xun, S., Meena, M. E., & Cobbinah, B. B. (2021). Measuring mobile banking adoption in Uganda
using the Technology Acceptance Model (TAM2) and perceived risk. Open Journal of Business and
Management, 9(01), 397.
Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success
model. Computers in human behavior, 45, 359-374.
Mullan, J., Bradley, L., & Loane, S. (2017). Bank adoption of mobile banking: stakeholder perspective.
International Journal of Bank Marketing.
Murendo, C., Wollni, M., De Brauw, A., & Mugabi, N. (2018). Social network effects on mobile money
adoption in Uganda. The Journal of Development Studies, 54(2), 327-342.
Nonvide, G. M. A., & Alinsato, A. S. (2023). Who uses mobile money, and what factors affect its adoption
process? Evidence from smallholder households in Cote d’Ivoire. Journal of Financial Services Marketing,
28(1), 117-127.
Ong, H. B., & Chong, L. L. (2023). The effect of cashless payments on the internet and mobile banking. Journal
of Financial Services Marketing, 28(1), 178-188.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in
behavioral research: a critical review of the literature and recommended remedies. Journal of applied
psychology, 88(5), 879.
Reimers, V., & Chao, F. (2014). The role of convenience in a recreational shopping trip. European Journal of
Marketing.
Roy, S. K., Shekhar, V., Lassar, W. M., & Chen, T. (2018). Customer engagement behaviors: The role of
service convenience, fairness, and quality. Journal of Retailing and Consumer Services, 44, 293-304.
Samsudeen, S. N., Selvaratnam, G., & Mohamed, A. H. H. (2020). Intention to use mobile banking services: an
Islamic banking customers’ perspective from Sri Lanka. Journal of Islamic Marketing.
Int. Journal of Business Science and Applied Management / Business-and-Management.org
58
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and
informatics, 32(1), 129-142.
Shankar, A. (2021). How does convenience drive consumers' web rooming intention? International Journal of
Bank Marketing, 39(2), 312-336.
Shankar, A., & Jebarajakirthy, C. (2019). The influence of e-banking service quality on customer loyalty: A
moderated mediation approach. International Journal of Bank Marketing.
Shankar, A., & Rishi, B. (2020). Convenience matters in mobile banking adoption intention? Australasian
Marketing Journal (AMJ), 28(4), 273-285.
Shankar, A., Datta, B., Jebarajakirthy, C., & Mukherjee, S. (2020). Exploring mobile banking service quality: a
qualitative approach. Services Marketing Quarterly, 41(2), 182-204.
Shankar, A., Gupta, M., Tiwari, A. K., & Behl, A. (2021). How does convenience impact showrooming
intention? Omnichannel retail strategies to manage global retail apocalypse. Journal of Strategic Marketing,
1-22.
Souiden, N., Ladhari, R., & Chaouali, W. (2020). Mobile banking adoption: a systematic review. International
Journal of Bank Marketing.
Sun, J., Chen, P. J., Ren, L., Shih, E. H. W., Ma, C., Wang, H., & Ha, N. H. (2021). Place attachment to pseudo
establishments: An application of the stimulus-organism-response paradigm to themed hotels. Journal of
Business Research, 129, 484-494.
Tam, C., & Oliveira, T. (2017). Literature review of mobile banking and individual performance. International
Journal of Bank Marketing.
Thusi, P., & Maduku, D. K. (2020). South African millennials’ acceptance and use of retail mobile banking
apps: An integrated perspective. Computers in Human Behavior, 111, 106405.
Tomasi, M. (2020). Perspective of Financial Literacy on Agribusiness Performance in Uganda; A Close Look at
Farmers’ Attitude and Social Media Platforms.
United Nations (2018). Technology in developing and emerging countries. Retrieved on 21 June 2023
https;//www.un.org
United Nations Development Program -Uganda (2020) Digital Financial Inclusion. Retrieved on 20 June
2023 https;//www.undp.org/Uganda/
World Bank (2022). Digital financial products, services and advisory for developing countries
https;//www.worldbank.org/
Zhai, X., Wang, M., & Ghani, U. (2020). The SOR (stimulus-organism-response) paradigm in online learning:
an empirical study of students’ knowledge hiding perceptions. Interactive Learning Environments, 28(5),
586-601.
Zhu, J., & Wang, M. (2022). Analyzing the Effect of People Utilizing Mobile Technology to Make Banking
Services More Accessible. Frontiers in Public Health, 10.
Zhu, Q., Lyu, Z., Long, Y., & Wachenheim, C. J. (2022). Adoption of mobile banking in rural China: Impact of
information dissemination channel. Socio-Economic Planning Sciences, 83, 101011.