Personalization of Banking Products (Services) using Digitalization
Technologies
VITALII RYSIN1, OLHA PROKOPENKO2, OLEKSII MURAVSKYI3, RUSLAN PECHENKO1,
NATALIІA HOLIACHUK4, ANDRII ZINCHENKO5
1Department of Finance,
Lviv Polytechnic National University,
12 Stepan Bandera Street, 79000, Lviv,
UKRAINE
2Department of Business Economics and Administration,
Sumy State Makarenko Pedagogical University,
87 Romenska Street, 40000, Sumy,
UKRAINE
3Department of Banking and Insurance,
National University of Life and Environmental Sciences of Ukraine,
15 Heroes` Defense Street, 03041, Kyiv,
UKRAINE
4Department of Accounting and Auditing,
Lutsk National Technical University,
75 Lvivska Street, 43000, Lutsk,
UKRAINE
5Department of Finance,
Admiral Makarov National University of Shipbuilding,
9 Stalingrad Street, 54000, Mykolaiv,
UKRAINE
Abstract: - The aim of the article was to build and test a potential assessment model using digitalization
technologies for the personalization of banking products. The methods of graphic modeling, and expert survey
were used in the research. The experience and specifics of using digital tools were analyzed, and the
appropriateness of their application in bank practice was determined using the example of a Ukrainian bank.
The potential of implementing specific technological solutions for the personalization of banking products
(services) in the practice of the analyzed bank is determined. The Markowitz Model was applied for the
allocation of the investment budget for the implementation of digital technologies with the purpose of
improving the personalization of banking products (services). It was shown how the practical implementation
of digital technologies and digitization tools will contribute to the growth of the competitiveness of this bank in
the highly competitive market of banking products through the personalization of the client experience.
Prospects for further research include the identification and structuring of digital tools that can be applied to
specific expected personalized experiences.
Key-Words: - Digital technologies, Personalized offers, Banking services, Digital transformation
Received: May 19, 2023. Revised: October 20, 2023. Accepted: November 2, 2023. Published: November 11, 2023.
1 Introduction
In the modern business environment, consumer
needs, preferences, and expectations are the basis
for building a compelling product and service policy
for banks, [1]. In this context, it is the personalized
customer experience in banking that is the problem
area that is increasingly focused on by academics
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DOI: 10.37394/23207.2023.20.216
Vitalii Rysin, Olha Prokopenko,
Oleksii Muravskyi, Ruslan Pechenko,
Nataliіa Holiachuk, Andrii Zinchenko
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and practitioners. Instead, the solution to this
problem is connected with the need to consider the
specifics, potential, and limitations of the banking
sector, particularly regulatory norms and the
possibilities of implementing modern technical and
technological solutions. It is also important to
identify leading innovative solutions in the
organization of activities that can be implemented to
solve the problem of personalization of the client
experience in the banking sector. At the same time,
the specified solutions may be implemented
unsystematically, ineffectively, and inconsistently if
they do not have proper scientific and
methodological justification and development.
Given this, the use of tools aimed at meeting the
needs and expectations of consumers of banking
services as an important element of the product and
service policy of banks becomes relevant at the level
of a specific banking institution. This allows us to
meet these needs and expectations more
systematically, consistently, fully, quickly, and
effectively, determining the limits of this article's
general scientific problem.
Given the rapid development of information
technologies, the system of digital technologies, as
well as products (services) and solutions based on it,
is an environment that is the most interesting from
the perspective of the availability of tools capable of
creating a personalized offer in the banking sector.
At the same time, this environment enables the use
of automated systems to achieve the bank’s goals
and to spread online ways of interaction between
businesses and consumers of products and services
to quickly scale a personalized experience to a
significant part of customers. Organizational and
methodical solutions aimed at improving
automation, optimization, and personalization of the
client experience are important components of the
system of tools aimed at meeting the needs and
expectations of consumers of banking services as an
important element of banks' product and service
policy. These decisions require scientific
development, justification, and implementation at
the level of banking institutions and have a
significant potential to increase the efficiency of
operations and competitiveness of these institutions.
This determines the relevance and necessity of
researching the personalization issues of banking
products (services) using digitalization technologies
in this article. This determines the relevance and
need for studying the issues of personalization of
banking products (services) using digitalization
technologies in this article.
This problem is especially relevant for
developing countries and transitive economies
because the activities of banks in such countries
require the search for effective tools to maintain
competitive positions due to:
High competition in the market of banking
products and services, including digital solutions in
the banking and financial sector, which are
implemented at the international level;
A relatively weak resource potential reserves
and financial capabilities for maintaining the
stability of banks in such countries are much weaker
than in developed economies, therefore maintaining
market positions and often even survival of these
banks depends on their innovativeness and
progressiveness in customer perception, which can
be implemented through the creation of a
personalized experience of interaction with the
bank.
Because of this, the study of the state of the
application of digitalization tools to improve the
personalization of interaction with clients in the
banking sector due to the implementation of specific
digital technologies is an important scientific
problem that should be considered in this scientific
article. This problem is especially relevant for
countries.
The article aims to study the personalization of
banking products (services) using digitalization
technologies and identify ways of the most effective
use of such technologies within the framework of
the strategy of digital transformation of banks. In
the process of achieving this goal, the following
research problems are expected to be solved:
- Analysis of the experience of involving digital
technologies to personalize the customer experience
using the example of the bank;
- Determining the development potential of
individual areas of digital activity in the analyzed
bank using the three-dimensional model proposed
by the author;
- Interpretation of the results of the potential
assessment and providing recommendations for the
implementation of digital technologies aimed at
personalizing banking products (services).
The hypothesis of this study is the possibility of
improving the personalized experience of bank
customers through the implementation of digital
technologies, the potential, and structure of
investment in the development of which can be
substantiated by using the methodological
framework, as well as theoretical and practical
solutions offered in this article.
2 Literature Review
The concept of specifics plays an increasingly
important role in increasing business
competitiveness in the current conditions, [2], [3].
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Vitalii Rysin, Olha Prokopenko,
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Nataliіa Holiachuk, Andrii Zinchenko
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Instead, cost optimization and the possibility of
scaling activities, which were previously achieved
primarily through product universalization, remain
relevant but require a certain revision of the
methods of achievement.
In this context, digital technologies enable
businesses to scale quickly, providing interaction
with a significant number of customers through
online access, [4], [5], [6]. At the same time, such
technologies create conditions for taking into
account the requirements and needs of a specific
group of consumers due to the ability to quickly
receive information from the customer and quickly
analyze it, [7], [8], [9]. This combination of the
ability to scale activities and simultaneously offer a
personalized product and service determines the
success factor of a modern bank that uses digital
technologies in interaction with customers, [10],
[11]. This, in turn, affects the solution to the
problem of creating prerequisites for the
development of a modern bank in a highly
competitive environment of banking and financial
products, in particular, in developing countries, [12],
[13]. This opinion is relevant as the resource
potential of banks in these countries is quite limited,
especially in relation to financing small and
medium-sized businesses in these countries, [14],
[15].
In this context, modern researchers focus on the
strategic aspects of managing the development of
banks, given that such development should include
digital transformation as one of the main vectors of
change, [16], [17]. At the same time, innovations in
the digital sphere aimed at improving the
personalized experience of customers and creating
personalized banking products (services) derive
from the growing role of digitalization as a factor in
the development of banking, [18]. First of all, such
transformations are conditioned by the prospects for
the development of mobile technologies on the
global market, [19], [20].
Authors considered the problems of the
formation and development of banks implementing
digital technologies, [12]. The results of the analysis
showed that stronger banks pay more attention to
the personalization of banking products (services),
and thus become more competitive and get better
performance.
The studies on the role of establishing an
effective innovation process in implementing the
conditions for the successful operation of banks and
their achievement of competitiveness are worth
noting, [21].
It is also important to rely on the research on
works on the analysis and creation of models of the
effective innovation process in the banking sector of
developed countries, [10], and developing countries.
So, current research on the issue of personalization
of banking products (services) using digitalization
technologies quite objectively represents both the
essence and the relevance of the implementation of
this process. At the same time, the impact of
digitalization tools on the behavior of a bank
customer through the offer of personalized banking
products (services) is a problem that still requires
significant understanding, structuring,
distinguishing specifics, and finding solutions in
theory, methodology, and practice.
3 Methods
The results of a survey conducted in March 2021 by
the Deloitte Center for Financial Services, [12],
were used as a source of statistics and expert data
regarding the consumer attitude to digital
technologies in the banking sector, which are used
to personalize the customer experience. This survey
was conducted by an independent research company
for approximately 3,000 U.S. consumers
differentiated by generation (Z: 18-23; Millennials:
24-39; X: 40-55; Boomers: 56-74, and the Quiet
generation: 75 years or older).
3.1 Research Methods
The work uses the method of graphic modeling to
assess the potential of implementing specific digital
solutions to improve interaction with customers
through digital technologies. The expert survey was
used to assess the potential of implementing digital
technology aimed at personalizing banking products
in accordance with the three-dimensional graphic
model proposed in the article with the justification
of its blocks as variants of the bank’s strategic
behavior.
The Markowitz Model was used to justify the
allocation of the budget for the implementation of
digital technologies to improve the personalization
of banking products (services), [22]. This model is
based on the assumption that the profitability
indicators of different assets of the investment
portfolio (in this case combinations of digital
technologies planned for implementation) are
interconnected. The increased profitability of the
implementation of one technology simultaneously
increases the profitability of other technologies,
while others remain unchanged, and for some, on
the contrary, profitability decreases. Diversification
of the portfolio of digital activity (formation of an
effective combination of technologies) enables
reducing activity risks when implementing digital
solutions for personalizing customer experience.
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Vitalii Rysin, Olha Prokopenko,
Oleksii Muravskyi, Ruslan Pechenko,
Nataliіa Holiachuk, Andrii Zinchenko
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This model has the following assumptions:
the return on investments is taken as the
mathematical expectation of return for n periods:
(1)
the mean squared deviation of profitability over n
periods is taken as the risk of investment :
(2)
The degree and nature of the relationship between
assets i and j is expressed by the covariance:
(3)
where i and j vary from 1 to k (if the portfolio
includes k assets).
(3)
The risk of a portfolio (combinations of digital
technologies planned for implementation),
consisting of k assets, is calculated by the formula:
(4)
The profitability of such a portfolio is the weighted
average yield of the assets of its components:
, (5)
where the share of the assets included in the
portfolio (combinations of digital technologies
planned for implementation) is calculated by using
the following formula:
, (6)
where Pi – is the cost of investment in i technology,
and Pp is the total cost of investment in the
portfolio of assets (a combination of digital
technologies planned for implementation).
3.2 Research Design
The formation of an effective system of interaction
between banks and clients and the management of
such a system under the modern conditions of the
functioning of the banking sector determine the
need to study and organize certain elements of this
system (approaches, methods, functions, factors), as
well as their combination, which, interacting in a
complex manner, contribute, with on the one hand -
the implementation of the bank's goals of obtaining
benefits from the implementation of more
personalized banking products and services,
minimization and proper compensation of activity
costs, on the other hand - the realization of the goals
of the consumer of banking services.
The author of this article proposes a three-
dimensional model based on the following criteria
to assess the potential of implementing a specific
digital technology aimed at personalizing banking
products (services):
a) the potential of process optimization through the
application of a particular digital technology for the
personalization of banking products (services);
b) the potential for the formation of new income
flows thanks to the application of specific digital
technology for the personalization of banking
products (services);
c) the potential to improve the bank’s image through
the creation of a personalized service system
focused on meeting specific customer needs.
It is proposed to assess the potential of
implementing a specific digital technology by
conducting a survey of banking market experts. The
survey involves at least five experts specialists in
the banking sector who work in the same bank and
are engaged in the implementation of new
technologies in their bank.
One of the eight blocks is singled out for
decision-making on the necessity, possibility, and
specifics of implementing a particular technology
depending on the results of the survey, which
indicate the potential of implementing a particular
digital technology to personalize banking products
or services (Figure 1, Table 1).
The potential for
image
improvement
8
4
2
3
2
1
1
4
6
5
5
The potential
for new revenue
streams
The potential
for process
optimization
Fig. 1: An integrated three-dimensional model for
assessing the potential of implementing digital
technology to personalize banking products
Source: Author’s Development
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Vitalii Rysin, Olha Prokopenko,
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Nataliіa Holiachuk, Andrii Zinchenko
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Table 1. Description of the blocks of the three-dimensional model for assessing the potential for the
implementation of digital technology to personalize banking products
Process
optimization
potential
Potential for
the
formation of
new income
flows
Potential to
improve the
bank’s
image
A block of the
model
corresponding
to the
characteristics
of the
potential
Description of options for actions recommended in
relation to the analyzed digital technology
High (3-4
points)
High (3-4
points)
High (3-4
points)
Block 1
Implementation of the technology is recommended
High (3-4
points)
High (3-4
points)
Low (1-2
points)
Block 2
The implementation of the technology is appropriate
given additional control over the bank’s image
Low (1-2
points)
High (3-4
points)
Low (1-2
points)
Block 3
Implementation of the technology is impractical, it is
recommended to focus on other technologies
Low (1-2
points)
High (3-4
points)
High (3-4
points)
Block 4
Implementation of the technology is appropriate
given additional control over the efficiency of
processes and operations in the bank
High (3-4
points)
Low (1-2
points)
High (3-4
points)
Block 5
Implementation of the technology is expedient under
the condition of additional control over the bank's
income flows
High (3-4
points)
Low (1-2
points)
Low (1-2
points)
Block 6
Implementation of the technology is impractical, it is
recommended to focus on other technologies
Low (1-2
points)
Low (1-2
points)
Low (1-2
points)
Block 7
Implementation of the technology is impractical, it is
recommended to focus on other technologies
Low (1-2
points)
Low (1-2
points)
High (3-4
points)
Block 8
Implementation of the technology is impractical, it is
recommended to focus on other technologies
Source: Author’s Development
In this article, it is proposed to choose ROI as the
profitability of digital technologies for
personalization of customer experience:
, (7)
where GP is gross profit, I is investment in the
development and spread of digital technologies, that
contribute to the personalization of the customer
experience.
The calculated expected profitability of the ith
digital technology ROIі is equal to its average value
according to the profitability dynamics of the
technology for a time equal to the number of
calculation periods n:
(8)
The expected profitability of the portfolio of tools
(combinations of digital technologies planned for
implementation) for the period is calculated as the
weighted average of the expected profitability of the
tools included in it:
(9)
where is the share of digital technology in the
portfolio, which is calculated by the formula (6).
This model was tested in practice through a personal
survey of five experts holding managerial positions
(at least at the level of deputy head of department)
in the Ukrainian bank (Joint-Stock Pivdenny Bank
Public Joint Stock Company, hereinafter
Pivdenny Bank), [23]. This bank won the category
“Banks with Ukrainian capital among large banks”
in the nomination “Corporate Bank” of the Banks of
2021 Ranking according to the FinClub edition,
[24].
In general, it occupies a solid position in the
bank rankings (it ranks 11th in the overall ranking
of banks, which includes state banks and banks with
foreign capital), has performance indicators
allowing for its active development (Moody's A1.ua
ranking), and actively implements digital
technologies.
Before the survey, each expert (employee of
Pivdenny Bank) gave his/her consent to participate
in it and was informed about personal data privacy,
the procedure, and the subject of the research,
followed by the survey itself. The respondents were
asked three questions (given earlier in the article
before the graphic description of the model)
regarding the severity of each of the criteria for
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Nataliіa Holiachuk, Andrii Zinchenko
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evaluating the potential with “yes” or “no” answers
for each of the three digital technologies that were
tested for implementation in the bank where the
respondents work.
4 Results
Table 2. Results of the assessment of the potential for the implementation of digital technology to personalize
banking products (services)
Technology
Evaluation criterion
Ratings of respondents
Average
score
Correspo
ndence to
the model
block
(Figure 3)
Resp. 1
Resp. 2
Resp. 3
Resp. 4
Resp. 5
A. Using artificial intelligence to
analyze personalized customer needs
Optimization of processes
4
3
4
4
3
3.6
BLOCK 1
Formation of new income flows
3
4
4
4
4
3.8
Improving the bank’s image
4
3
4
4
4
3.8
B. Use of scoring systems to calculate
personal proposals for bank credit
limits
Optimization of processes
4
4
4
4
4
4
BLOCK 5
Formation of new income flows
2
2
2
3
3
2.4
Improving the bank’s image
3
3
3
4
3
3.2
C. Providing personal contact with
customers via the bank’s messengers
Optimization of processes
2
2
1
1
2
1.6
BLOCK 8
Formation of new income flows
2
1
2
2
1
1.6
Improving the bank’s image
4
3
4
4
3
3.6
D. Providing customers with data
regarding their history with the bank
Optimization of processes
3
2
3
3
3
2.8
BLOCK 4
Formation of new income flows
3
3
4
3
4
3.4
Improving the bank’s image
4
3
3
4
4
3.6
E. Regular informing customers about
new offers that match their consumer
profile
Optimization of processes
3
2
2
2
2
2.2
BLOCK 8
Formation of new income flows
2
2
2
3
2
2.2
Improving the bank’s image
4
3
3
3
3
3.2
Source: created based on the results of an expert survey in accordance with the author’s approach
Given a rather positive experience of
introducing digital solutions and technologies into
the practice of the analyzed bank, a three-
dimensional model for assessing the potential of
implementing digital technologies to personalize
banking products (services) using the example of
Pivdenny Bank (Ukraine) was tested in this article.
The testing gave the results in Table 2.
Figure 2 shows the correspondence of the tested
technologies to the blocks of the integrated three-
dimensional model for assessing the potential of
implementing digital technology to personalize
banking products (services).
The justification of the allocation of the budget
for the implementation of digital technologies to
improve the personalization of banking products
(services) using the Markowitz Model showed the
following results (Table 3).
The initial shares Vi of instruments in the
portfolio are calculated as shares of investment in
the portfolio according to Formula (6),
according to Formulas (2), (3), and (4), ROIp
according to Formula (14). Next, an active strategy
— increasing profitability at a given calculated level
of risk — was used.
The optimization model (10) was used. The
optimization yielded the following results (Table 4,
Figure 3): increased portfolio profitability by 22.2%
at the same level of risk.
Fig. 2: Correspondence of the tested technologies to
the blocks of the integrated three-dimensional model
for assessing the potential for the implementation of
digital technology to personalize banking products
(services).
Source: Created by the author based on the results of an
expert survey
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Table 3. Results of the justification of budget allocation for the implementation of digital technologies to
improve the personalization of banking products (services) using the Markowitz mode
Indicator
Digital technology, which is planned for implementation in the
digital complex of Pivdenny Bank
The average value
of indicators
A. Using artificial
intelligence to analyze
personalized customer
needs
B. Use of scoring
systems to calculate
personal proposals for
bank credit limits
C. Providing personal
contact with customers
via the bank’s
messengers
D. Providing customers
with data regarding their
history with the bank
E. Regular informing
customers about new
offers that match their
consumer profile
Investment, Pj, UAH million
182.00
341.00
340.00
520.00
180.00
Gross profit, GPj, UAH million
318.50
504.68
448.80
1201.20
217.80
ROI
0.75
0.48
0.32
1.31
0.21
-
-
-
-
-
0.614
Total investment in the development of
digital technologies, , UAH million
-
-
-
-
-
1563
Initial share of technologies in the investment
portfolio, Vi,
0.116
0.218
0.218
0.333
0.115
ROI-
0.136
-0.134
-0.294
0.696
-0.404
-
-
-
-
-
0.35
ROIp
-
-
-
-
-
0.72
Source: Author’s Calculations
Table 4. Optimization of the digital complex of Pivdenny Bank
Indicator
Digital technology planned for implementation in the digital
complex of Pivdenny Bank
Average
value
А.
В.
С.
D.
Е.
Initial investment portfolio
ROI
0.75
0.48
0.32
1.31
0.21
-
Initial share of technologies in the investment
portfolio, Vi,
0.116
0.218
0.218
0.333
0.115
-
Optimized investment portfolio
Optimized weight of technologies in the investment
portfolio, Vi,
0.560
0.145
0
0.295
0
ROIp initial
-
-
-
-
-
0.72
ROIp optimized
-
-
-
-
-
0.88
Potential change of ROIp
-
-
-
-
-
+22%
Investment portfolio risk
-
-
-
-
-
0.59
Investment portfolio risk
-
-
-
-
-
0.59
Source: Author’s Calculations
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Initial investment structure
Optimized investment structure
Fig. 3: The initial and optimized structure of investment in the digital complex of Pivdenny Bank
Source: built by the author
This technology has the highest potential for
increasing the bank’s performance. At the same
time, attention should be paid to the potential of
these technologies, which is revealed not only
through the growing income but also through the
improvement of the bank’s image and the
optimization of banking processes and procedures
(see the results of a preliminary expert survey
according to the proposed model).
Forming the prerequisites for the effective
implementation of certain digital technologies in the
bank’s operations to personalize the customer
experience, it should be noted that in the online
environment, banks use these technologies for
informational, transactional, and/or analytical
purposes. The lack of direct interaction between the
bank and customers and non-verbal signals can be
compensated by other factors, such as:
– information about banking products (services);
qualitative factors, such as interactivity functions,
so that customers feel part of the process (for
example, this can often be implemented with the
help of chatbots based on artificial intelligence);
customer assistance in the search and selection of
banking products (services); feedback as a request.
So, to personalize banking products (services), the
bank shall differentiate the customer experience and
create a unique sales offer that is attractive to the
target group(s), which combines a competitive
advantage and has value for the customer.
5 Discussion
This article reflects one of the basic aspects that
describe the digitalization processes in the banking
sector the personalization of banking products
and services using digital technologies. In this
context, it should be noted that the digital
experience of bank customers under research can be
implemented through the implementation of
artificial intelligence models to understand the range
of emotions experienced by people, which correlates
with the study, [25], personalizing the customers’
behavior and providing them relevant
recommendations. So, personalization has the
potential to increase service satisfaction, as the
author noted, [26], or the prospect of using other
tools, such as customer data analysis, as the
researcher discussed, [27]. A personalized approach
to savings and lending based on these and other data
can make consumers’ interactions with banks’
digital channels more personal and “human”, as
found, [28], and more efficient, as work noted, [29],
with a better result for banks.
In this context, the results obtained in the work
fully correlate with the results of other recent
studies, confirming the conclusion that the
transformation of banking and the spread of digital
technologies within the Open Banking concept is a
meaningful strategic process of changes in the
banking system in terms of the challenge of the new
digital economy, [30], [31].
At the same time, it should be taken into
account that the principle of “unity of the optimal
management solution” characteristic of the
traditional way of management is being replaced in
the modern business environment by the principle of
“multiplicity of possible solutions” (divergent
thinking). The reason is that a large number of
possible alternative management solutions are
possible in unbalanced, unstable, actively, and often
non-linearly developing systems, which is
characteristic of the modern banking sector. This
provides certain tactical and strategic advantages,
which are important to forecast with a certain
probability. This is especially relevant for transitive
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DOI: 10.37394/23207.2023.20.216
Vitalii Rysin, Olha Prokopenko,
Oleksii Muravskyi, Ruslan Pechenko,
Nataliіa Holiachuk, Andrii Zinchenko
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economies and developing countries, where the
divergence of managerial thinking can become a
competitive advantage in the changing business
environment of these countries.
In the author’s opinion, possible options for
management decisions regarding the
implementation of specific digital technologies to
personalize banking products and services in a
turbulent environment should be evaluated based on
the critical rationality principle. It implies that one
principled disadvantage can outweigh a set of less
principled advantages. So, it is appropriate to use
the model proposed by the author in this article,
which enables weighing the advantages of
implementing a particular technology in the specific
conditions of the bank and comparing them with
possible losses of efficiency. The principle of “non-
linearity of management” is also urged in this
context. This is a typologically correctly organized
management action, implemented through a certain
model, which provides for the possibility of variable
actions given changes in the environment, which
may turn out to be more effective than a strong
management influence applied at the wrong time
and not in the right place.
The results of the practical application of the
approach proposed by the author can be
implemented at the level of evaluation tools and
methods of justifying management decisions
regarding introducing new products (services) to the
market and implementing certain digital solutions
that contribute to this.
6 Conclusion
This article aims to emphasize the importance of
implementing a personalized approach in banking in
terms of digital transformation, which requires the
selection and structuring of particular digitalization
tools that improve interaction with customers
through increased personalization of banking
products (services). The author of the article
proposed a three-dimensional model for assessing
the potential of implementing specific digital
technology to personalize banking products
(services). It is based on the following criteria: the
potential for optimizing processes through the
application of specific digital technology for
personalizing banking products (services); the
potential for the formation of new income flows by
applying specific digital technology for the
personalization of banking products (services); the
potential to improve the bank’s image through the
creation of a personalized service system focused on
meeting the specific customer needs. The author
tests this model on the example of assessing the
reasonability of implementing five digital
technologies in a particular bank (Pivdenny Bank,
Ukraine), which are expected to contribute to the
improvement of personalization of banking products
(services). The potential and appropriateness of
implementing each of these technologies were
analyzed. The potential for increased profitability of
the implementation of these technologies through
the reallocation of investment resources for the
development of specific technologies was
determined.
In general, this study focuses on enriching the
understanding of modern economic processes in the
banking sector by theoretically summarizing and
structuring the issues of personalization of banking
products (services) using digitalization technologies,
as well as identifying ways of the most effective use
of such technologies within the strategy of digital
transformation of banks. At the same time, this
study relies on the need to ensure competitiveness as
a dominant factor in the development of a modern
bank in market conditions. This is especially
relevant for banks in developing countries or
transitive economies with quite a weak resource
potential, where the institutional conditions for
development are often unfavorable.
The implementation of the model proposed by
the author (the practical value of which is confirmed
by testing on the example of a specific bank), as
well as the structure of the investment portfolio
proposed by the author in the implementation of
digital technologies aimed at personalizing banking
products, allows to form a systematized and justified
system of decision options under certain conditions
at the bank level. Such a scientific and practical
toolkit can effectively stimulate the development of
the bank's activities to improve interaction with
clients. It will allow the combination of the latest
digital technologies and business solutions to
improve the bank's performance of its basic
functions.
The theoretical and practical value of the
solutions and proposals for the development of
banking practice presented in this article implies the
possibility of using the three-dimensional model
proposed in the article to justify the appropriateness
of implementing digital technologies in a particular
bank, which should improve personalization of
banking products (services), as shown by testing of
this model.
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DOI: 10.37394/23207.2023.20.216
Vitalii Rysin, Olha Prokopenko,
Oleksii Muravskyi, Ruslan Pechenko,
Nataliіa Holiachuk, Andrii Zinchenko
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Nataliіa Holiachuk, Andrii Zinchenko
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DOI: 10.37394/23207.2023.20.216
Vitalii Rysin, Olha Prokopenko,
Oleksii Muravskyi, Ruslan Pechenko,
Nataliіa Holiachuk, Andrii Zinchenko
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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.
Creative Commons Attribution License 4.0
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DOI: 10.37394/23207.2023.20.216
Vitalii Rysin, Olha Prokopenko,
Oleksii Muravskyi, Ruslan Pechenko,
Nataliіa Holiachuk, Andrii Zinchenko
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