Risks of the Neobanks’ Activities in the Conditions of the Economy
Digitalization
KARINA KAPLIAR1, NATALIA MASLOVA2, VALENTYN HNOIEVYI3
1International Business, Educational and Scientific Institute of International Relations,
Taras Shevchenko National University of Kyiv,
36/1, Yuriia Illienka Str., 04119, Kyiv,
UKRAINE
2Department of Banking, State,
University of Trade and Economics,
19, Kyoto Str., 02000, Kyiv,
UKRAINE
3Department of Economic Design and Marketing,
Interregional Academy of Personnel Management,
79, Svoboda Ave., 39630, Kremenchuk,
UKRAINE
Abstract: - The operation of neobanks, as a new banking concept, is currently gaining great popularity.
However, their activities are associated with specific risks that are not characteristic of classic banks. The
inefficient risk management can harm not only the banks themselves but also customers as well as the entire
banking system. The article aims to identify opportunities and threats in the resistance of neo-banks to risks
against the background of companies' digitalization. The current study applied graphic, analytical research
methods (determination of specific weight and structure fractions), parameterization methods using the matrix
approach and linear functional dependence, and the method of strategic SWOT analysis. The application of
advanced digital technologies enables neobanks to enhance their flexibility and ability to quickly adapt to
changes in the market. The utilization of artificial intelligence allows neobanks to supply their customers with
personalized solutions and services, which can increase customer loyalty and satisfaction. However, neobanks
face specific risks that can negatively affect their activities and entail grave problems both for the bank itself
and for its customers. The growing use of digital technologies increases the risk of cyber-attacks and
unauthorized access to customer financial data. Given the above, neobanks should pay due attention to cyber
security and ensure the highest protection of their customers’ data. Operation shortcomings, technical issues,
and work breakdowns also present a considerable risk, as they can negatively affect the customer's trust and
lead to the loss of business partners and reputation. Therefore, the success of neobanks depends on the ability to
effectively manage these specific risks and ensure a high level of security for their financial services. The
scientific novelty of the obtained results lies in the proposed parametric model for estimating the integrated
neobanks’ risks drawing on the specified component risks. The research findings can be applied to elaborating
a framework of project documents for promoting the development of neobanking while designing the neo-
banks’ risk management policy based on the proposed parametric risk estimation approach. The conducted
study is promising in terms of opening up perspectives for future research, in particular as regards the
effectiveness of neobanks’ risk management given the digitalization in the economic sphere.
Key-Words: - digitalization, neobanking, cyber security, cyber threat, fintech banks, artificial intelligence.
Received: July 9, 2022. Revised: October 6, 2023. Accepted: November 9, 2023. Available online: December 13, 2023.
1 Introduction
For several decades, banking institutions have been
the principal intermediaries for customers to access
a variety of financial products and services.
However, to date, the stability of this mediating
function is gradually decreasing, and the role of
traditional banks is being transformed considerably,
[1]. During the period of pandemic restrictions of
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the coronavirus, [2], banking activity experienced a
particularly transformative impact, when personal
contact between bank employees and customers was
entirely prohibited. Apparently, alongside digitaliza-
tion, this became another driver which prompted the
emergence of banks of a new format namely,
neobanks, [3]. Being full participants in the
financial market, neobanks are fintech companies
that operate under their banking license or function
based on the license of an existing bank. Such banks
focus exclusively on the digital format and do not
have traditional brick-and-mortar branches. They
cut down on costs, which has a positive effect on
providing more favorable service fees, and
favorable interest rates and ensuring numerous
benefits to their customers.
Neobanks are banks that operate based on an
online platform, utilizing modern digital
technologies, and accordingly do not have physical
divisions or branches. Neobanks emerged after the
2008 crisis when there was a pressing necessity to
optimize the costs of traditional banking business.
The functioning of neobanks as a modern alternative
to traditional banks is linked to the development of
digitalization, [4]. The rapid development of the
digital client environment is observed in several
areas across the economy. Consequently, the need to
ensure the ability to make calculations or pay
payments without the need to visit bank branches
has become a prerequisite for the further
development of commodity-monetary relations.
Neobanks offer virtually all banking services
without any need to visit a banking institution. Nev-
ertheless, such advantages and ease of use in terms
of financial services may incur certain risks that are
inherent in any product in the digital environment,
[5]. Moreover, there may be specific risks that are
pertinent to neobanks, such as fintech companies in
which clients can not exert any influence. In this
connection, a contradiction arises between the
convenience and safety of the neobanks’ services as
full participants in the financial market. The
prospects for the functioning and development of
neo banking as a type of business and field of
activity depend on how this contradiction will be
addressed, both directly by the neobanks themselves
and by the overall digital infrastructure. Drawing on
the above, the purpose of the study is to identify
opportunities and threats in the neobanks resilience
in terms of risks in the conditions of economies’
digitalization. In accordance with the set goal, the
research addresses the tasks as follows:
- To examine the dynamics of the development in
the neobanking market on the background of digital-
ization processes in the economy;
- To determine the impact of digitalization on the
activities of neobanks and the risks of their
activities;
- To identify the strengths and weaknesses, as well
as opportunities and threats for neobanks, related to
the impact of digitalization.
2 Literature Review
When viewed as financial market participants, neo-
banks are relatively new entities. Their emergence is
associated with the impact of two large groups of
factors. The first group is represented by the
development of digital technologies and the digital
business environment. Consequently, the banking
services transition to the digital environment is a
result of trade digitalization, in particular
international trade, [4]. But this factor was not ex-
plicitly crucial in the emergence of neobanks, since
traditional banks while developing customer service
systems, began to offer some services remotely,
which made them much more convenient for
customers. Another group of factors is related to the
business model of the neobank's operation, [6], [7].
The said model is based on the complete absence of
physical branches, and the entire work with clients
takes place remotely, exclusively through digital
services. The emergence of a new business model is
crucial in the emergence of a new bank format,
namely neobanks.
Neobanks is focusing on improving many of its
external customer-facing operations with digital
solutions. At the same time, a lot of processes in
traditional banks are still largely performed directly
by people in a manual mode to process customer
inquiries, [8]. This high degree of manual
processing is expensive, and time-consuming and
can lead to inconsistent results and high error rates.
These inefficiencies consequently have an essential
impact on the customer experience, which neobanks
lack to a large degree.
In an analytical study, [9], it is noted that such a
feature of the business model can ensure high
profitability of neobanks in the future. However, for
that end, it is indispensable to have certain
prerequisites, among which, in particular, there is
effective risk management in place. Among the
major risks are as follows: the risk of fraud,
reliability of data storage, and cyber threats.
According to, [10], the risks of neobanking are
directly related to the essence and specificity
thereof. Neobanks is a financial technology
company that operates digitally online or via a
mobile application. It is the digital environment in
which Neobank operates that creates the major risks.
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At the same time, the results of a technological
transformation study of the banking sector in 90
countries, [11], demonstrate that neobanking
reduces the risks of Internet fraud in low-risk
countries by 37%, and in low- and medium-risk
countries - by 25%. The digital environment as es-
sentially the environment of neobanks, is not seen
by all researchers as an unequivocal reason for the
neobanking riskiness. If we compare the risks of
fraud, then even the percentage of risk inherent in
neo-banks can be much lower than the percentage of
riskiness of traditional banks. From this point of
standpoint, neobanks appear to be much more
attractive to customers.
The characteristic feature of neobanks is that
they can offer customers personalized banking
services, [12], which makes them much more
appealing to customers as compared to traditional
banks. The strategy of neobanks in interaction with
clients involves the creation of a banking product
that is as easy to use, convenient, and transparent as
possible. It is the convenience and ease of use that is
the key to the success of neobanks as compared to
traditional banks in their fight for customers.
However, as noted in yet another study, [5], this
ease of use may be perceived by the customer as a
considerable risk. From their subjective standpoint,
the client may associate the simplicity of using the
application with its lack of protection against
fraudulent actions. Therefore, according to the
researchers, access to the data contained in the
application must be reliably protected so that
primarily the clients themselves feel the reliability
and safety of using such a service. Given the above,
it can be assumed that neo-banks pose a significant
threat to traditional banks due to their convenience
for customers. Indeed, neobanking increases
competition in the field, however, as noted, [3],
traditional banks should not consider neobanks as a
threat. Through cooperation with non-banks, they
can receive numerous advantages, but the
introduction of digitalization in traditional banks is
also important in this process. In, [13], the authors
reach similar conclusions, noting from a survey that
most respondents recognize some regulatory
compliance issues in neobanks compared to
traditional banks. At the same time, these problems
are offset by significant advantages for clients due
to the high convenience of services provided by
non-banks.
The findings of a study examining cyber risks
for neobanks, [14], are worthy of note. The results
of this study indicate that cyber risks for neobanks
are correlated with the level of risk for the country’s
economy as a whole. Thus, for groups of countries
in which cyber risks are high, they remain high for
neobanks as well. Notably, in those groups of
countries where the level of cyber risk is quite low,
it is also low for neobanks. Given this, we can
conclude that neobanks do not produce new risks or
increase existing ones. This can be explained by the
fact that in countries where the level of digital
security is at a high level, it is equally high in all
areas of the economy, and conversely: as due to
neobanking is not based on any unique technologies
or those used exclusively by neobanks.
The analysis of literary sources showed that the
risks of neobanks are not unambiguous and call for
a thorough study. The researched papers do not
contain an unambiguous approach to the types of
risks specific to neobanks, moreover, the vast
majority of studies generalize risks at the level of
the banking system or the level of risks specific to
the economy of a specific country.
3 Methods
The research was carried out in three stages. The
first stage involved an analysis in terms of the
dynamics of the neobanks development worldwide.
At this stage, we examined the following indicators:
- the volume of transactions carried out by
neobanks;
- the number of biobank clients;
- the key participants in the market of neobanks.
In the second stage, the impact of economies’ digi-
talization on the neobanks’ activities was analyzed
and the risks of their activities were determined. At
this stage, it was important to distinguish the risks
that are characteristic of neobanks as part of the
banking system and the risks that are characteristic
of the entire system. It was also important to
highlight the specific risks of neobanks, which are
inherent in them as unique fintech companies. A
parametric model for calculating the integral risk of
neobanks based on the use of the matrix method of
calculating the integral risk and the functional
dependence of the integral risk on the neobanks’
risks was also proposed.
In the third stage will be conducted a SWOT
analysis in terms of the neo-banks’ capabilities to
take advantage of the opportunities and counter the
risks entailed by the economy's digitalization.
Accordingly, the strengths, weaknesses,
opportunities, and threats for neobanks will be
assessed at this stage of the research as opposed to
the specific risks that are typical exclusively thereof.
The research used data regarding the neobanks
transaction volume as well as the number of their
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users for the period 2017-2022 and forecast values
until the year 2027. The dynamics analysis of neo-
banking development will be conducted utilizing an
analytical and graphical method for calculating the
annual indicators growth and data visualization.
Further, the method of strategic SWOT analysis will
be applied to determine the internal and external
factors of digitization's impact on neobanks. Data
for the first stage of the study were taken from the
official website of the statistical agency, [15], [16],
[17], [18]. The research calculations and elaboration
of visualizations were carried out in Microsoft
Excel.
All of the calculated values provided in the
article are the values simulated for the sake of
clarity in displaying the order of parameter
calculations and filling in the analytical tables. The
numerical values provided do not reflect any real
data and are presented to reflect the process of
applying the parametric model of calculating the
integral risk of neobanks based on the use of the
matrix method of calculating the integral risk and
the functional dependence of the integral risk on the
neobanks risks.
4 Results
In recent years, there has been a significant increase
in the volume of the neo-banking market, which
indicates that more and more users of banking
services prefer digital solutions in the use of
banking services (Figure 1).
Figure 1 illustrates how the volume of neo-
banks’ transactions is growing annually, although
the rate of growth is decreasing. The decrease in the
yearly growth is due to the gradual saturation of the
market, as well as the fact that neobanks compete
with traditional banks that also offer online services
to their customers. At the same time, there is a rapid
increase in the number of biobank clients (Figure 2),
which can testify to the rapid development of this
sector in the financial market. However, as can be
seen from Figure 3, the data indicate a steady trend
toward growth in the volume of Neobank
transactions per 1 user.
Fig. 1: Dynamics growth of the neo banking market, [15], [16]
0,23 0,45 0,83
1,48
2,5
3,34
4,74
6,11
7,31
8,35
9,25
95,65217391
84,44444444
78,31325301
68,91891892
33,6
41,91616766
28,90295359
19,63993453
14,22708618
10,77844311
0
20
40
60
80
100
120
0
1
2
3
4
5
6
7
8
9
10
2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
Transaction volume, USD trillion (right scale) Annual growth, % (left scale)
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Fig. 2: Dynamics growth of neo-bank customers (millions of users), [15], [16]
Fig. 3: The average volume of neo-banking transactions per user (thousands of USD), [17]
Fig. 4: Key participants in the neobanking market in 2022 by number of customers (%), [18]
18,95 32,61
55,89
93,06
145,9
188,4
250,7
301,8
338,1
361,9 376,9
0
50
100
150
200
250
300
350
400
2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
12,39 13,74 15,05 16,31 17,45 18,38 19,76 21,11 22,55 24,04 25,53
0
5
10
15
20
25
30
2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
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The above trend indicates that along with the
number of neo-bank clients, the amount of
calculations they conduct is also growing. Among
other things, this shows that there is a flow of
capital from traditional banks to the disposal of
neobanks, which means that users trust such fintech
banks.
As of 2022, the 10 largest neobanks in the world
accounted for more than 60% of the customers of all
neobanks (Figure 4).
The data in Figure 3 indicate that at this stage of
shaping the neobanking market, it has an
oligopolistic structure. Entry into the market is
limited, as it is necessary to obtain a license from
the regulator to start such an activity, as well as the
need to possess a considerable initial investment to
start the activity. At the same time, there is a
tendency for the appearance of new market
participants, which will increase competition
between them.
When it comes to probing deeper into the neo-
banking development from the standpoint of
institutional economic theory, obviously the
former’s development is related precisely to the
digital society development and the spread of digital
technologies among the population of most
countries globally. At the brick-and-mortar banks,
their digital communication channels are profusely
developing, for instance, mobile applications and
online banking to ensure customers' convenience
and accessibility of services. Consequently, it
enables the customers with convenience and speed
to bank from virtually any location. Furthermore,
banks actively use artificial intelligence and
analytics to process large volumes of customer and
transaction data. It allows for forecasting customer
behavior, providing personalized recommendations
and offers, as well as ensuring a high-security level
by detecting suspicious transactions.
At the same time, neobanks, being, in fact, a
product of digitalization, are also actively exposed
to the influence of digitalization. Neobanks have
digital platforms based on mobile applications and
web platforms. This allows them to provide
innovative and convenient financial services that
appeal to a young and tech-savvy audience. Further,
digitalization encourages the development of
formats for providing payment services. Neobanks
often offer innovative payment solutions such as
prepaid cards, contactless payments, money
transfers through mobile applications, which
provide more convenient and faster transactions.
Some neobanks focus on providing investment
services, allowing clients to invest in various assets
through digital platforms with low fees and minimal
restrictions.
Neobanks, like any financial institution, have
risk threats in their activities. This is due to the
specifics of their activity, business model, and use
of digital technologies. Further, some of these risks
should be considered (Figure 5).
Fig. 5: Risks inherent in neobanks against the
digitalization background
Technological risk. Neobanks are heavily
dependent on technology such as mobile
applications, web platforms, and other digital
solutions. Therefore, they are exposed to
technological risk related to possible technical
failures, data retention problems, cyber-attacks, and
other technical problems.
Risk of innovation. Neobanks that work with
innovative technologies and ideas are exposed to the
risk that they may not be as successful or accepted
by the market as they were expected to perform.
Consequently, the innovative products may not find
their customers or may not be profitable enough.
Fintech partnerships. A large number of
neobanks cooperate with fintech startups and other
technology companies. This may lead to risks
associated with the partnership, in particular, fintech
startups and technology companies can have
unpredictable growth dynamics, as many of them
are innovative enterprises. This can lead to financial
difficulties, changes in strategy, or even the closure
of the company, which will affect the services of the
neo-banking partner. In addition, technology
companies may face difficulties in implementing
efficient business processes or ensuring the high
quality of their products or services, which may
affect the quality of services provided by Neobank.
Risks are
characteristic of
non-banks
Technological risk
Innovation risk
The risk of fintech
partnerships
Dependence on
external service
providers
Unfavorable
development of
regulatory policy
Social risk
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Dependence on external service providers.
Neobanks may depend on external providers of
technology and other services to support their
operations. This may create a risk of service
interruption or disruption, affecting their ability to
provide financial services.
Unfavorable development of regulatory policy.
As neobanks grow in popularity, regulators may
introduce new rules and standards that may affect
their operations. Accordingly, neobanks must
consider these risks and ensure compliance with
applicable regulatory requirements.
Social risk. Some neobanks may focus on
providing services to specific groups of consumers,
which may create a risk of social rejection or
conflict.
Given the fact that non-banks are most closely
associated with the introduction of digital
technologies, technological risks come to the fore
among the mentioned risks. This can be seen by
evaluating the results of statistical studies. In
particular, it is worth paying attention to the data
showing the level of fraud in the FinTech sector,
which includes non-banks and certain types of fraud
typical of traditional banking (Figure 6).
Fig. 6: Comparison of fraud in FinTech with other
types of fraud typical of traditional banks (built by
the author according to, [19])
Based on the above data, the average fraud rate
at FinTech companies is 0.3%, which is twice the
rate of credit card fraud (0.15%) and three times
higher than debit card fraud (0.10%). Thus, it can be
noted that the level of fraud in neo-banks
significantly exceeds fraud in traditional banks. This
can be explained by the fact that fraud can occur at
many stages of the user journey, from account
registration to transactions, so it is necessary to
control all areas that attackers can attack. At the
same time, more and more investments are poured
into the neobank industry, which attracts fraudsters
more and more. The costs of such fraud include not
only the immediate actions but also the time and
effort required by the team to investigate, report,
and fix the problem. The most appropriate
countermeasure in this case is a reliable system of
identifiers to detect fraud at all stages of the activity
process, it is essential to take care of a high-quality
registration system.
So, neobanks must consider the specific risks
associated with their business model and the digital
nature of their activities to succeed. It is crucial to
ensure that risks are properly controlled and
managed and to plan strategies to reduce and
prevent them.
For the risk management of neobanks to be
successful, we offer a model that will ensure a
parametric estimation of these risks. Taking into
consideration that in the structure of neobanks, the
estimation of various risk types can be conducted by
diverse functional divisions and performers, we set
forward a matrix approach to solving this task.
Thus, to tackle this issue, we distinguish the
identified risks as follows:
R 1: Technological risk
R 2: Risk of innovation
R 3: Fintech partnerships
R 4: Dependence on service providers
R 5: Regulatory policy risk
R 6: Social risk
The degree of each risk varies from 0 to 1,
where 0 is the minimum value and 1 is the
maximum possible risk value. Such
parameterization of risks is carried out by each
responsible unit, which in the current article is
designated as EXP. As a result of such a parametric
estimation of each risk, a risk matrix can be
elaborated as follows (Table 1).
Table 1. Risk matrix of neobanks*
R 1
R 2
R 3
R 4
R 5
R 6
IR
EXP 1
0,2
0,3
0,5
0,4
0,2
0,1
0,35
EXP 2
0,4
0,5
0,6
0,3
0,1
0,2
0,42
Note: *The parameters of the coefficients in Table 1 are
provided to demonstrate the calculation example and do
not reflect the real risk values
Table 1 is a matrix of relationships, where each
row corresponds to one division or expert of a
neobank, and the columns represent the risk and
integral risk (IR) values for that observation.
Further, for each observation (expert or unit), a
linear combination of risks is used to estimate the
integral risk:
0,30%
0,15%
0,10%
0,00%
0,05%
0,10%
0,15%
0,20%
0,25%
0,30%
0,35%
Fraud in
FinTech
Credit card
fraud
Debit card fraud
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IR=a1*R1+a2*R2+ a3*R3+ a4*R4+ a5*R5+a6*R6
where:
IR – integral risk;
R1-R6 – risks of neobanks;
a1-a6 coefficients that determine the impact of
each risk on the integral risk for a specific
observation.
If a neobank already has empirical data for risk
estimation, then coefficients a1-a6 can be calculated
empirically. If such data are not yet available, they
are expertly determined and adjusted in accordance
with the practical implementation of risks.
For the neobanks to be successful, they must be
ready to effectively manage risks, implement
cybersecurity measures, comply with regulatory
requirements, as well as carefully analyze their
financial transactions and interactions with clients.
Particularly, in the digital environment where risks
are related to security and data protection, cyber
protection systems and the reliability of technical
solutions are of great importance. However, if tradi-
tional banks are to a certain degree protected from
some types of cyber threats because they have paper
media and business processes implemented offline,
neobanks lack that. We will consider and analyze
the possibilities of neobanks to address the risks of
digitalization with the help of a SWOT analysis
(Table 2).
Neobanks enjoy the advantage of using
advanced digital technologies, which allows them to
provide easy-to-use and innovative financial
services. This can help neobanks attract new
customers and retain existing ones, helping to
counter the risk of losing customers. The absence of
physical branches allows neobanks to be flexible
and quickly adapt to changing market conditions.
Accordingly, this ensures reducing the risk of loss
of competitiveness in the market. The use of
artificial intelligence and analytics allows neobanks
to provide personalized solutions and services to
customers, which enhances customer loyalty and
satisfaction, thereby reducing the risk of losing
customers.
Table 2. SWOT analysis for neobanks in terms of risks of economies’ digitalization
Strengths
Weaknesses
1. Digital technologies: neobanks have access to advanced
digital technologies, which allows them to quickly and
efficiently offer customers innovative financial services with
the highest degree of data protection.
2. Flexibility: the absence of traditional branches allows
neobanks to reduce costs and more quickly adapt to changing
market conditions and customer requirements, in particular
under the pandemic restrictions.
3. Convenience for customers: The digital format allows
customers to carry out banking operations from anywhere,
which ensures convenience and accessibility of services.
4. Innovation: neobanks are actively developing and
implementing new technologies, which allows them to offer
customers unique solutions and services.
1. Lack of physical branches: for some
customers, the complete absence of
traditional bank branches can be confusing,
which can cause mistrust.
2. Security: there exists a risk of cyber
attacks and fraud as all transactions are
conducted in an online environment.
Protection against cyber threats is becoming
critical.
3. Limited services: some neobanks may
offer a limited range of financial services
compared to traditional banks.
Opportunities
Threats
1. Market Expansion: digital technologies open opportunities
for global expansion and attracting new customers from
around the world.
2. Strengthening partnerships: neobanks can establish
partnerships with other financial and technology companies
to expand their services and improve integration with the
ecosystem.
3. Improved personalization: with the help of data analysis,
neobanks can collect information about their customers and
provide personalized financial solutions, as well as provide
strong two-step authentication for increased security.
1. Competition: traditional banks and other
financial technology startups are also
actively developing their digital services,
creating enhanced competition in the market.
2. Regulatory policy: changes in legislation
can affect the activities of neobanks and
increase the volume of necessary documents
and security requirements.
3. Technical problems: failures, errors, and
other technical problems can negatively
affect customer trust.
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Digital technologies allow neobanks to expand
their activities in international markets without the
need to open physical offices in each country. This
opens up new opportunities for increasing the client
base and increasing profits. Neobanks have great
potential to successfully grow and counter risks, but
they must actively work on improving security,
personalization, and competitiveness to successfully
retain and attract customers in the digital world.
Drawing on the constructed matrix illustrating
the SWOT analysis, it is expedient to quantify the
impact of each element. To address this task, we
first elaborate a weight matrix of relationships
between strengths (S), weaknesses (W),
opportunities (O), and threats (T). The matrix is
filled in drawing on a parameterized employees
expert estimation representing Neobank’s relevant
departments (Table 3).
Table 3. Weight matrix of relationships between
strengths (S), weaknesses (W), opportunities (O)
and threats (T)*
S
W
O
T
S
9
5
7
3
W
3
4
2
O
8
6
T
5
Note: *The parameters of the coefficients in the table are
given to demonstrate a calculation example and do not
reflect real values
Having addressed the above, it is necessary to
normalize the weights of each element. To do this,
we divided each element of the weight matrix by the
sum of the weights for the applicable category (Ta-
ble 4).
Table 4. Normalized weight matrix of relationships
between strengths (S), weaknesses (W), opportuni-
ties (O), and threats (T)*
S
W
O
T
S
0.450
0.2941
0.3043
0.1500
W
0.1765
0.1739
0.1000
O
0.3478
0.3000
T
0.2500
Note: *The parameters of the coefficients in the table are
given to demonstrate a calculation example and do not
reflect real values
Drawing on the obtained weights, we can
determine the parameterized value of the influence
degree of each element in the SWOT matrix, which
is defined as the sum of the products of the
normalized weights by the factor weights:
For strengths (S):
0.45*9+0.2941*5+0.3043*7+0.15*3=7.1054
For weaknesses (W):
0.1765*3+0.1739*4+0.1×2=1.488
For opportunities (O): 0.3478*8+0.3*6=5.6704
For threats (T): 0.25*5=1.25
The obtained values represent an estimation of
each element’s impact on the SWOT matrix and
allow an evaluation of the ratio of its elements.
Determination of the ratio of influence is based on
the obtained indicators, which are given in the
previous paragraph. The greater the value of the
indicator, the stronger its influence. In our example,
the strengths have a value of 7.1054, which is the
largest. Accordingly, strengths have the greatest
impact, which should be taken into account when
making relevant management decisions.
5 Discussion
Comparing the obtained results with the results of
other studies, it is worth noting that several studies
also maintain that neobanks are characterized by the
risks of the traditional banking system, [20], [21]. In
our research, we highlight the risks that are specific
to neobanks due to the specifics of their activities.
This insight into the risks significantly widens the
divide between traditional banks and neobanks to
tackle such risks.
A recent study, [22], reveals the issue of the
location of neobanks and indicates that more than
57% of all neobanks in Europe are located in
Germany, Italy, and France. However, the results of
our research show that the impact of digitization on
economies is so significant that the activities of
neobanks are not in any way limited territorially.
Moreover, the determining factors in their
development are institutional factors that provide
the necessary regulatory and legislative basis for
their functioning.
In yet another study, [4], [23], the authors
conclude that the key differences between
traditional banks and neobanks lie in the differences
in their business models. Based on this, the risks
also differ. The findings of our research indicate the
presence of both common risks and solely particular
ones that are specific to neobanks. A study, [24], is
devoted to the management of one of these risks, in
which a strategy for addressing the security of
information assets is elaborated. Violation of the
security of information assets, according to our
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Volume 21, 2024
classification, belongs to the technological risks of
neobanks, which are defined in work as the most
threatening. Therefore, the noted work is helpful for
further deepening the author's research, in particular,
the formation of approaches to the management of
certain technological risks. The results of the SWOT
analysis show that neobanks also have certain
advantages compared to traditional banks due to the
specificity of their business model, which is based
on digitalization. Our conclusions about the
advantages of neobanks are also confirmed by
research on the future of banking, [25], in which it is
noted that the latest technical solutions of neobanks
can make them leaders in the industry, allow them
to capture a significant share of the market and
significantly increase profitability.
Although at this stage of neobanks’
development, their absolute virtuality is perceived
more from the point of view of risk, in the near
future the development of technologies will provide
such a high level of cyber protection that it will
become practically insignificant for the financial
sector, [2]. In this case, we share the authors’ stand-
point, as we believe that digitization is impossible
without improving security, and the trend toward
digitization is unquestionable. Under such
conditions, with maximum cyber security, neobanks
will be able to direct resources to the maximum
extent to the realization of their opportunities, which
we discovered during the SWOT analysis.
Despite all the advantages of neobanking, they
will come short of displacing traditional banks from
the market, [26]. This is because the latter are also
transforming their business models and
implementing solutions to provide their customers
with online payment platforms and remote account
management. Hence, the researchers, [27], come to
a similar conclusion, maintaining that consumers of
banking services who are clients of neobanks tend to
keep open accounts in traditional banks as well, as a
way to minimize risks. In, [3], [13], the authors also
emphasize that neo-banks should not be perceived
as a threat by traditional banks. At the same time,
the latter should use the opportunity to cooperate
with non-banks to improve the customer experience,
reduce operating costs, reach a larger audience, and
increase the availability of financial services. Our
research shows that traditional banks today remain
more reliable providers of financial services, which
can give them a temporary advantage in attracting
customers. While neo-banks are at the stage of
formation, traditional banks have time to carry out
the necessary digital transformations.
Drawing on the results of our research, the
opportunities for the development of neobanks are
connected with the use of artificial intelligence. It is
artificial intelligence that will ensure the collection
and analysis of data about customers, their behavior,
and preferences and will provide the opportunity to
use this information to enhance the services and
provide personalized offers to customers. Similar
conclusions are arrived at in a study devoted to the
future of banking, [28]. Artificial intelligence will
be inextricably linked with digitization, and
therefore its use in the development of neobanking
is also inevitable.
Thus, the key advantage of the presented
research is the formation of a thorough list of risks
specific to neobanks, as well as their comparison
with the main opportunities in the field of
neobanking. This allows us to propose the main
areas of integral risk assessment for neobanks based
on specific components, which is a key contribution
of the work beyond alternative studies. In contrast to
many studies, the work revealed that today, the
sphere of neobanking is characterized by a higher
level of risk than traditional banks. However, this
conclusion is limited to the analysis of purely
technological risks, in particular, fraud in the
electronic sphere.
6 Conclusion
Neobanks have the advantage of using advanced
digital technologies, which allows them to provide
convenient and innovative financial services. This
can help the former to attract new customers and
retain existing ones, helping to counter the risk of
losing customers. The absence of physical branches
allows neobanks to be flexible and quickly adapt to
changing market conditions. Consequently, this
allows for reducing the risk of loss of
competitiveness in the market. The use of artificial
intelligence and analytics allows neobanks to
provide personalized solutions and services to
customers, which increases customer loyalty and
satisfaction, thereby reducing the risk of losing
customers. Digital technologies provide neobanks
with the opportunity to expand their activities in
international markets without the need to open
physical offices in each country. This opens up new
opportunities for increasing the client base and
increasing profits.
However, neobanks are characterized by
specific risks that can significantly harm both the
bank itself and its clients. With the use of digital
technologies, the risk of cyberattacks and
unauthorized access to customer financial data
increases. Neobanks must pay due attention to cyber
security and ensure data protection. Outages, errors,
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Volume 21, 2024
and other technical problems can negatively affect
customer confidence and lead to loss of business.
The scientific novelty of the obtained results lies in
the proposed parametric model of neobanks’
integral risk assessment based on the outlined
component risks.
The obtained results can be applied in the
elaboration of framework project documents for
promoting the development of neobanking as well
as while developing the neobanks’ risk management
policy based on the proposed parametric risk
estimation approach.
The conducted research opens promising
perspectives for future research regarding the
effectiveness of neobanks’ risk management in the
current conditions of economies’ digitalization.
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The authors equally contributed to the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare.
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DOI: 10.37394/23209.2024.21.2
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Valentyn Hnoievyi
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22
Volume 21, 2024