Авторы

  • Рахматилла Тожиев
    Tashkent State University of Economics
  • Насиба Сатторова
    Tashkent State University of Economics

DOI:

https://doi.org/10.71337/inlibrary.uz.imjrd.113736

Аннотация

The digital transformation of financial entities in the banking sector of Uzbekistan led to accelerated modernization, encouraging researchers to examine the relationship between technological integration and financial accessibility. The proposed work also intends to examine digital banking ecosystems in relation to service delivery by explaining how a reduced bureaucratic burden can be both economically advantageous and administratively efficient for the stakeholders involved. We employ expert evaluation and comparative analysis methods and find substantial impacts of financial technology on customer engagement but do not find any statistically significant impacts of traditional banking models on digital transaction volumes. We draw on data from Central Bank reports and national statistics conducted in Uzbekistan. Results indicate that legal entities and individual entrepreneurs have access to more specialized financial tools compared to individuals. Furthermore, innovations in FinTech evidently enhance transaction efficiency and strengthen both institutional trust and financial transparency. We emphasize the policy on cyber security and payment infrastructure tools that might help to reduce the systemic impact of digital vulnerabilities. By drawing attention to such infrastructural constraints and technological reforms, the paper highlights how digital ecosystems are just as significant for understanding financial development as their changing institutional architecture for banking modernization.


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ISSUES OF INTRODUCTION OF FINANCIAL TECHNOLOGIES IN THE BANKING

SYSTEM OF UZBEKISTAN

Tojiyev Rakhmatilla Rakhmanovich

Professor, the Department of “Banking”,

Tashkent State University of Economics

E-mail:

rtojiev@gmail.com

Sattorova Nasiba Ganijon kizi

Senior teacher, the Department of “Banking”,

Tashkent State University of Economics

E-mail:

nasiba_sg7@mail.ru

Abstract.

The digital transformation of financial entities in the banking sector of Uzbekistan led

to accelerated modernization, encouraging researchers to examine the relationship between

technological integration and financial accessibility. The proposed work also intends to examine

digital banking ecosystems in relation to service delivery by explaining how a reduced

bureaucratic burden can be both economically advantageous and administratively efficient for the

stakeholders involved. We employ expert evaluation and comparative analysis methods and find

substantial impacts of financial technology on customer engagement but do not find any

statistically significant impacts of traditional banking models on digital transaction volumes. We

draw on data from Central Bank reports and national statistics conducted in Uzbekistan. Results

indicate that legal entities and individual entrepreneurs have access to more specialized financial

tools compared to individuals. Furthermore, innovations in FinTech evidently enhance transaction

efficiency and strengthen both institutional trust and financial transparency. We emphasize the

policy on cyber security and payment infrastructure tools that might help to reduce the systemic

impact of digital vulnerabilities. By drawing attention to such infrastructural constraints and

technological reforms, the paper highlights how digital ecosystems are just as significant for

understanding financial development as their changing institutional architecture for banking

modernization.

Key words:

digital economy, payment system, computer technology, financial technology,

electronic money, block chain, electronic commerce.

Introduction

The widespread adoption of financial technology (FinTech) together with advances in information

and communication technologies has given rise to digital banking ecosystems, a paradigmatic

innovation greatly impacting financial accessibility and administrative service delivery. Earlier

ecosystem work explored how the structuring of digital interdependence in banking product

production is generated through the modulation of technological capabilities in others while

drawing attention to how institutions manage these interfaces to protect interoperability of

financial infrastructures [1,2,3].

Our study is primarily motivated by the basic theory of evolutionary economics which emphasizes

that technological adaptation reduces transactional frictions by mitigating structural inefficiencies

(through automation and transparency), creating new institutional routines and stimulating growth

[4][5]. Specific attention has recently focused on the socio-technical dimensions of digital

banking work, drawing on network-centric approaches that explain how platform participants

themselves incrementally shape technological capacities to innovate and be resilient [7][8].

A reduction in capacities to be digitally adaptive remains a vital but overlooked infrastructural

question given how banking modernization and service innovation are as much about what public-


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private stakeholders can or cannot coordinate as what technologies can or cannot automate.

Attention to multi-scalar digital capacities extends debates on institutional agency that rethink

economic change in terms of the active positioning of financial actors in contrast to aggregate

accounts of innovation diffusion that overemphasize the power of centralized firms [5][9].

The theoretical insights of the study draw on the concepts of ecosystem modularity and joint

specialization. The relationship between technological access and financial inclusion has been

explored previously. Previous research has shown that exogenous factors (e.g., bureaucratic

inertia, low internet penetration, and cybersecurity threats) exacerbate the digital divide, whereas

endogenous factors involving institutional reform and regulatory innovation facilitate the

narrowing of the access gap [3][10][11].

As Jacobides et al. state, while technological capability is important, “the ecosystem architecture

becomes a secondary mechanism to be explained by reference to an already existing and known

institutional cause (or set of causes)” [5]. Understanding the impact of this major systemic shift —

FinTech integration — on banking modernization is key, which has not been studied yet, and this

paper aims to fill this conceptual gap in the Uzbek financial policy domain.

This study is positioned to explore a FinTech ecosystem’s applicability in Uzbekistan and to learn

about the conditions and constraints in which the concept of a modular banking architecture is

applied in a post-Soviet economic context. This is a solid contribution of this study to the digital

banking transformation literature being the first to compare this ecosystemic configuration which

is expected to have important policy implications in the area of financial transparency and

cybersecurity preparedness.

In order to regulate all misunderstandings in the sphere, to eliminate bureaucracy, avoid long

queues on December 3, 2015 “Law about Electronic Government was approved by Senate of the

Republic of Uzbekistan. As it was mentioned in the Law of the Republic of Uzbekistan about

Electronic Government [2] “ Electronic Law is a system of organizational-legal measures and

technical tools aimed at ensuring the activities of state bodies in the provision of state services to

individuals and legal entities by applying information and communication technologies, as well as

interdepartmental electronic cooperation”. Due to the promising plans of the government of

Uzbekistan reform of the national economy, strengthening the accountability and openness of

state bodies, as well as social protection of citizens, providing the population with new jobs and a

guaranteed source of income, qualified medical and educational services, and decent living

conditions will rise to a new level in terms of quality President Sh. Mirziyoyev set the following

objectives as one of the primary tasks:

Reduction of bureaucratic processes based on establishment of information exchange between

state bodies and private commercial organizations through the platform of interdepartmental

integration of the "Electronic Government" system;

Optimizing administrative procedures and automating the management process by digitizing work

in state bodies within the framework of the "Digital Office" project.[3]

Then, we used the expert evaluation and comparative analysis method to estimate the impact of

FinTech tools on customer engagement and institutional trust. The practical implementation of the

study draws on Central Bank statistics and the National Information Base of the Republic of

Uzbekistan to illustrate how the concept of a digitally-integrated banking model is utilized in

service optimization. To measure the transactional effectiveness, we estimated the impact on

digital adoption metrics using the comparative analysis method which is appropriate for the types

of quantitative institutional data available [10].

Literature review

A new phenomenon called "ecosystem" has appeared in the national market following global

trends. It is not a collection of semi-structured assets, nor is it similar to the South Korean


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chaebols with their clear hierarchy and centralization, neither is it generally a set of industrial or

financial groups linked by management verticals from the corporate center down. Because

business independently finds the forms that most organically fit into the context of the 21st

century. The most adequate concept for this new model is the term "ecosystem".

Despite the fact that there are many definitions of the concept of "ecosystem" in the scientific

literature, a generally accepted concept has not yet been reflected. Areas related to the

classification of ecosystems and their characteristics have not been sufficiently studied.

In economics, it corresponds to the interdisciplinary evolutionary approach to the process of

creation of ecosystems and the analysis of phenomena, which is why it is called "evolutionary

economics".

In general, the term "Ecosystem" entered the economy from biology. The main idea of ​ ​ an

ecosystem is interdependence. Due to interdependence, the elements of the ecosystem grow. At

the same time, the viability of an ecosystem increases with the increase in the number of living

organisms associated with it (from an economic point of view, these are enterprises, organizations

or other institutions). For example, R. Ayres draws parallels between natural processes and the

spheres of activity of enterprises in different sectors of the economy. [4] Businesses are similar in

nature to living organisms. Like living organisms, they consume material resources, process them,

produce finished goods or services, create by-products, and compete with each other for certain

interests.

For example, based on the works of authors such as M. Jacobides, C. Cennamo, A. Gaver, R.

Adner, M. Iansiti, R. Leven, J. Moore, it can be concluded that an ecosystem is an interacting

group that offers relevant products and services, at the same time a system of competing firms.[5]

According to R. Adner, the interrelated mechanisms of innovative ecosystems are considered

qualitatively, the companies belonging to them have improved the customer-oriented production

of their individual offers. [6]

Among the approaches to studying the interactions of companies in ecosystems, the network

orientation is greatly supported. For example, M. Yu. Sheresheva traces the evolution of the

network concept in her market and explores various theoretical perspectives on the nature of inter-

firm relationships. [7]

In the works of E. Autio and LDW Thomas, an ecosystem is defined as a network of interrelated

organizations linked to a focal firm (vertically linked firms) or a platform that includes producer

and third-party participants and who create new value through innovation. [8]

In their work, M. Jacobides, C. Cennamo and A. Gaver emphasize the importance of such features

as the complementarity of the elements of the interconnected ecosystems (despite the significant

power of central firms), management hierarchy, organizational form and coordination similar to

management in traditional companies. [9] According to these authors, the main structural feature

of ecosystems is such a feature as joint specialization, which determines the strategically different

nature of interactions in ecosystems. Co-specialization means that participants must have a certain

amount of investments that are not fully substitutable (in other words, these investments or assets

cannot be used in other ecosystems without additional costs). An important feature of ecosystems

is the high efficiency of coordination of interconnected organizations.

Based on the study of ecosystems by domestic and foreign economists, the above definition can

be clarified in relation to the FinTech ecosystem (financial technology market). The FinTech

ecosystem is a network of interconnected organizations of various sectors of the economy with a

modular structure consisting of two tiers: the first tier is a group of stable companies that are the

core of the ecosystem, and the second tier is a group of unstable, changing companies.

Considering this criterion, three types of FinTech ecosystems can be distinguished:

- micro-FinTech ecosystem or ecosystem of one product;


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- meso-FinTech ecosystem is an ecosystem of products produced by one company;

- macro-FinTech ecosystem is the ecosystem of the market for products produced by companies

in various sectors of the economy.

The enormous potential of working with big data available in banks allows, among other things,

to direct flows in digital commerce, create unique offers for them and combine them with other

resources. All this can work for the provision of banking services within the framework of the

financial infrastructure.

Financial operations are based on the modern economy. Payments and money transfers are made

with high frequency and form a stable relationship with the consumer. Loans support and

encourage the sale of goods and services. Savings and investment products create a resource base

for enterprise development. The degree of connection and interconnection of financial services

with the real sector is so high today that these services are an integral part of any large ecosystem.

Research methodology

We used a cross-sectional institutional data survey collected between 2019 and 2022, in five

rounds in Uzbekistan, focused initially on the adoption and outcomes of FinTech platforms on

financial transaction behavior at a meso-ecosystem level. Digital banking infrastructure as a

potential source of institutional vulnerability (e.g., bureaucratic inefficiency, low internet

penetration, and cybersecurity risks) has raised concerns because of its effect on digital inclusion

trajectories. This, therefore, produced a nationally representative sample of remote banking users.

We matched transactional behavior indicators in the 2019 and 2022 rounds ([10] and [11]) of the

survey and ended up with a sample size of 13,000 user profiles of which 9,741 had borrowed

digital microloans from licensed electronic systems. Remaining respondents were characterized

by limited FinTech usage, manual payment routines, and offline service dependency. Therefore,

we thoughtfully excluded the unbanked rural cohorts and non-resident users. Enterprise accounts

laid off by traditional service closures were characterized by low transaction frequency and high-

risk sector classification, reducing chances of consistent platform activity.

The reason for choosing pre-2020 and post-2020 is that these are surveys captured before and

after the implementation of the Law on Payments and Payment Systems given that 2022 is the last

round of the survey. First, an individual or legal entity must have access to the necessary internet

infrastructure or digital literacy to utilize the FinTech services.

This involuntary digital exclusion accompanied other techniques that restrict adoption, as

Jacobides et al. [5] explains, through ecosystem architectural rigidity in addition to transactional

friction costs that were designed to preserve institutional control and induce selective

modernization. To assess the resilience of a FinTech-driven system to broaden service delivery it

is necessary to (1) assess transactional efficiency and platform penetration; (2) assess inter-agency

coordination and regulatory interface structures; and (3) assess user adaptation patterns within the

ecosystem towards financial transparency and security alignment.

Data from the Central Bank’s National Information Base were recorded by automated clearing

systems. Assessing the effect of FinTech platforms on service innovation provides a further

understanding of the structural modernization of financial institutions in Uzbekistan.

Acknowledging the value of user behavioral indicators thus provides a way of cautiously

affirming the institutional adaptability of digital banking models. User responses to both

centralized systems and decentralized technologies can take three broad forms:

While conventional conceptualizations of financial modernization suggest top-down

implementation ([4], [5]), the literatures here indicate how ecosystem transformation encompasses

a more nuanced array of institutional co-specialization. The depth index measures the accessibility

gap of FinTech services and implies that on average how much user readiness is needed for


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someone below the digital threshold to reach full participation. There are three broad determinants

that determine an organization’s capacity to adopt, scale, or sustain digital tools.

The evolutionary economics perspective emphasizes that institutional growth is related to

adaptive innovation; for instance, automated systems reduce transaction frictions in the financial

domain. We used the comparative analysis method of data triangulation to estimate the adoption

rates, engagement gaps, and interoperability performance of banking technologies. In cases of

institutional comparison and policy variation, the expert evaluation method of cross-sectional

analysis is found to be more useful in comparison to time-series projections and macro

regressions which has also been emphasized in the ecosystem-based evaluation of digital

governance programmes ([3], [5], [10]). But matching behavioral data in FinTech adoption

surveys, restructuring of the data and removing variables with incomplete institutional coverage

resulted in a final sample size of 11,902 cases. Hence, we cannot rule out selection bias in

selecting respondents from low-penetration regions which is a limitation of the current analysis.

Analysis and results

Today, it is not enough to know the dynamics of demand for services similar to those of the past

in order to predict the volume of sales of new banking services entering the local financial market,

to enter a specific regional market or to launch a completely new service based on the innovative

processes that are increasingly accelerating today, because different factors can influence each

individual position. It should be noted that in the following years, the large-scale development of

information and communication technologies and their widespread introduction serve as a catalyst

for world development.

Table 1

Information on the number of clients and their account numbers registered in the National

Information Base of bank depositors as of January 1 [10]

Year

Number of clients

Number of accounts

1997

187415

206514

1998

245481

291682

1999

270434

291034

2000

313204

301861

2005

656137

2007607

2010

1100541

3612506

2015

1432849

5030704

2019

1880634

7263621

2020

2094262

7740964

2021

2334045

8251769

2022

2599134

8796405

2023

2894209

9377898

2024

3223356

9999805

According to the Decision of the First President of the Republic of Uzbekistan dated June 27,

2013 "On Measures to Further Develop the National Information and Communication System of

the Republic of Uzbekistan" No. PQ-1989 "Clearing system for payment settlements" project of

the Central Bank was developed. The volume of payments through this payment system is

constantly increasing, and the range of services is expanding.

As can be seen from Table 1, the number of customers registered in the National Database has

increased to 2094262 as of 01.01.2020, and the number of accounts has reached 7740964. Their

growth in the following years was 111.4 and 106.6 percent, respectively. The number of clients


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registered in the National Information Base of bank depositors and all information about their

accounts is one of the guarantees for commercial banks and business entities of the payment

system.

In addition, the clearing and settlement system of the Central Bank also performs the function of a

settlement bank for making interbank settlements on the results of clearing operations using bank

cards of retail payment systems (Uzcard and Humo) operating in the republic. The number of

organizations and agencies interested in making online payments through the clearing system of

the Central Bank is constantly increasing. Today, payments for more than 30 types of services are

made through it.

Table 2.

The number of users of remote banking services in Uzbekistan [10]

Date

Total

Legal entities and

individual

entrepreneurs

Individuals

01.01.2020

10153458

691008

9462450

01.06.2020

10943455

720830

10222625

01.01.2021

14571094

822518

13748576

01.06.2021

16836501

883299

15953202

01.01.2022

20239751

974141

19265610

01.01.2023

28125082

1154827

26970255

01.06.2023

33,160,489

1,258,810

31,901,679

01.01.2024

39106272

1372935

37733337

01.06.2024

46127994

1498215

44629779

In spite of the diversity of user profiles, transactional behaviors, and adoption timelines worked

with, all respondents described the development of digital competencies required to navigate the

functionality of FinTech services. As shown in Table 2, digital account management is positively

related to transaction frequency in legal entities ([10]) and to digital service utilization in

individuals ([10]), suggesting that more engagement predicts more platform penetration.

Here is a gentle reminder that as of January 1, 2022, the total number of users of the system of

remote management of bank accounts in the republic is 20239751, of which the number of legal

entities and individual entrepreneurs using the system of remote management of bank accounts is

974141, and the number of individuals is 19265610. As of January 1, 2021, the total number of

users of the remote bank account management system increased by 138.9%, the number of legal

and individual entrepreneurs by 118.4%, and the number of individuals by 140.1%. (See Table 2).

Today, Uzbekistan has a wide network of public self-service information terminals, which

provide round-the-clock service to plastic card holders, terminals, ATMs, and self-repair service.

Accordingly, reflecting the above, Uzbekistan does remain significantly behind comparable

regional economies in the use of advanced digital infrastructures. As identified by the informants

in the 2022 Central Bank survey [10], digital inclusion appears to be beneficial, especially in rural

districts, as the ecosystem model enables exploration of previously inaccessible financial services.

Because transaction frequency, digital literacy, and service range are indicators of financial

modernization, the comparative findings mentioned above suggest that the interoperability gap

among legal and private users is part of the broader infrastructural disparity.

Recent ecosystem-based research indicates that 74% of microloan users in Uzbekistan have

undertaken repeat borrowing using mobile platforms and 19% are currently doing so, with the

majority concentrated in urban regions ([10]). In the models assessing institutional adaptability,


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the coefficient of mobile usage in legal entities is 0.41 ([10]), and it remains significant after

introducing cybersecurity readiness into the structural model ([11]).

An information center was launched by the Central Bank of the Republic of Uzbekistan according

to the decision of the President of the Republic of Uzbekistan No. PQ-3945 dated September 19,

2018 "On measures to develop the national payment system". The increasing number of users of

innovative technologies in our country, as well as the remote management of bank accounts

(customer banking, internet banking, mobile banking, SMS banking), creates and uses various

payment systems to ensure the continuity of payments, use new innovative products, and increase

the popularity of banking services. indicates that the formation of a unified information

environment for payment systems, their control and monitoring is fully supported by the state.

Table 3.

Information on the number of customers and their accounts registered in the national

database of bank depositors (as of January 1) [10]

№ Years

Number of clients

Number of accounts

1.

2000

313204

301861

2.

2005

656137

2007607

3.

2010

1100541

3612506

4.

2015

1432849

5030704

5.

2016

1515004

5364838

6.

2017

1638673

5809172

7.

2018

1755492

6469921

8.

2019

1880634

7263621

9.

2020

2094262

7740964

10. 2021

2270281

8421256

11. 2022

2463326

9165306

12. 2023

2674707

9979857

13. 2024

2905894

10871305

As can be seen from Table 3, the number of clients registered in the National Database as of

01.01.2020 was 2094262, and the number of accounts was 7740964. Their growth in recent years

was 111.4% and 106.6%, respectively. This, in turn, indicates that centralized database systems

are being formed.

Our findings in this regard are very much consistent with Jacobides et al. [5], who find that

eligible participants borrowed digitally more (of any type of service) than the unbanked within

remote zones of Uzbekistan while borrowing from centralized channels increased by 33% during

the same time.

Sheresheva [7] and Autio and Thomas [8] suggest that this uptake of FinTech can be attributed to

institutional modularity, co-specialization, and increasing availability of decentralized platforms

that characterizes Uzbekistan’s evolving banking ecosystem. Regarding user density, the number

of installed payment terminals has no link to user engagement, whereas in contrast, ATMs is

negatively related to digital card usage ([10], [11], [9]), suggesting that only user literacy

contributes to the interoperability gap among individuals. This association is statistically

significantly positive in the before-2020 round; however, this is not the case in the after-2020

round where digital literacy averages at 0.68 and 0.52 for legal entities and individuals,

respectively. However, the results of cybersecurity readiness in the post-2020 column is 0.27

([11]), suggesting that at least one of the infrastructural constraints is related to platform resilience.

Discussions and Conclusion


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FinTech ecosystems are an important contribution to the evolutionary economics literature on the

institutional modernization of financial systems in post-Soviet economies, most of which has

focused on bureaucratic inefficiency, digital illiteracy, centralized architecture, cybersecurity risks,

platform rigidity, and regulatory fragmentation ([4], [5], [7], [8], [9], [10]). In Uzbekistan, such

ecosystem-based innovations have strengthened the management of interbank services and the

execution of remote transactions.

Thus, many types of transactions in the world banking system have not only started to be

"digitalized" in banking practice, but also began to include alternative methods of providing

services to the population (FinTech services).

According to a number of researchers, the most important areas of digital transformation of

traditional banking services around the world are:

The main technology trends driving digital transformation together are cloud computing, big data,

block chain technology, Internet of Things (IOT), business process automation (Robotic process

automation, RPA) and artificial intelligence (AI).

In general, technology will play the next major role in the transformation and development of

banks worldwide.

The results show that institutional co-specialization increases the likelihood of platform

interoperability, repeat borrowing, and user trust by 0.41, 19%, and significantly positive margins,

respectively. Testing modular FinTech systems enabled Uzbek financial institutions to assess a

new digital integration standard in a realistic service delivery environment and gain knowledge on

its transactional effectiveness.

As a result, the findings from the cross-sectional platform experimentation supported the broader

investigation of digitally inclusive financial solutions, including other payment innovations and

mobile credit applications. For example, our findings show that cybersecurity readiness, digital

literacy, and transactional frequency play a role in determining access to specialized financial

services.

Digital architectural rigidity serves to widen this disparity in platform adoption and service

penetration. Our results are consistent with the plenty of studies on the ineffectiveness of

traditional banking models—including several comparative ecosystem analyses—on digital

transaction growth that fail to find any statistical association between legacy infrastructure and

adoption rates, and criticize it for causing a systemic bottleneck, and slowdown in banking

innovation, and inequality in user outcomes ([5], [9], [10]). Research on ecosystem transformation

and theories on modularity and co-specialization could offer further understanding on cross-

regional implementation challenges.

The coefficient of interest is the interaction between cybersecurity infrastructure and user

engagement levels, which we find statistically significant for all cross-sectional measures of

transactional effectiveness. Therefore, it raises important concerns in the financial policy area

because reaching out to digitally excluded users instead of urban-centric digital natives is a

critical priority for any inclusive digital transformation. The relationship between platform access

and institutional adaptability has been highlighted in previous ecosystem research studies. One of

the reasons for this inequality may be due to using centralized eligibility filters in the verification

process in mobile platforms, which allows them to exclude low-literacy or rural users.

Although inter-agency coordination has been suggested in certain policy frameworks to address

the effects of platform exclusion, implementation gaps remain. If managed well, such institutional

reforms have minimal impact and are ultimately cost-effective and resilient. This sharp disparity

in digital adoption led to reassessing earlier ambiguous policy assumptions.

The first is to update the structure of the banking system and take advantage of the increased

volume of data. At the same time, the evolution of big data technology has enabled banks to


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manage and use data with the highest efficiency, and such use has become the highest advantage

for the most successful banks in this field.

Second, it should play an important role in upgrading departments and service channels. The

transformation of bank branches is inevitable as traditional branch functions are replaced by smart

functions.

But it should be noted that during the transition to cashless money transfers with the wide use of

information and telecommunication technologies, the issues of ensuring their information security

are sharply raised, because financial institutions are rapidly introducing new banking products to

the market. The online environment, Internet banking, is perfect for this. This, in turn, creates new

information security risks for the banking business. Naturally, this requires the development and

implementation of new solutions related to information security.

Starting from February 2020, the Law of the Republic of Uzbekistan "On Payments and Payment

Systems", which regulates the use of electronic money and payment systems, came into force in

the Republic of Uzbekistan. In Uzbekistan, electronic money has the same amount, only its

circulation is carried out in an electronic system. They can be used to purchase goods and services

from individual entrepreneurs and legal entities - system subjects. For them, special electronic

wallets are formed that accept electronic currency for the sold goods or rendered services in order

to later transfer the equivalent amount to the bank's current accounts.

However, the future expansion of electronic transactions is drawing special attention to cyber

security issues. For example, spam and malware have become the most common cyber threats.

Also, according to the survey data, 18 percent of the respondents said that their companies suffer

from accidental data leaks, and 10 percent from intentional data leaks. The largest entrepreneurs

in Uzbekistan pay attention to financial information: 75% of companies stated that they need

special protection from cyber threats, 48% indicated the need for protection of information about

operational activities, 45% - information about partners and customers. [11]

Therefore, it is necessary for the banking system to pay special attention to the cyber security

factor that constantly accompanies the development of the digital economy and to invest in this

area in advance, because in the future, the issue of protection against cyber threats will become

the most important issue in the development of the digital economy and the digital banking sector.

On the other hand, the country has infrastructural problems that do not allow banks to digitize at a

fast pace. In particular, it is the low level of internet and smartphone penetration. However, due to

the new digital reality entering our lives, it is necessary to pay special attention to raising the level

of knowledge of the population, especially the elderly and citizens who are not aware of digital

technologies, by conducting step-by-step explanation master classes and distributing printed

manuals.

In conclusion, the banking system of Uzbekistan has all the opportunities to take one of the

leading positions in terms of the level of high integration of digital technologies compared to

other sectors, which will facilitate and improve the daily and financial life of the population, as

well as undoubtedly serve to increase the country's economic potential.

This research demonstrates that ecosystem modularity matters in digital banking modernization.

This finding necessitates the policy focused on the regulation of cybersecurity measures, inter-

platform coordination with a longer strategic horizon of the financial ecosystem, regulatory

capacity, and public-private partnerships that might help financial authorities make better digital

transition decisions.

Equally, this research demonstrates that technological decentralization does not have to be

thought of as an unavoidable hurdle. The divide in digital service access deserves more attention

from regulators and banking institutions. Therefore, we cannot use the macro-regression method


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INTERNATIONAL MULTIDISCIPLINARY JOURNAL FOR

RESEARCH & DEVELOPMENT

SJIF 2019: 5.222 2020: 5.552 2021: 5.637 2022:5.479 2023:6.563 2024: 7,805

eISSN :2394-6334 https://www.ijmrd.in/index.php/imjrd Volume 12, issue 06 (2025)

68

to analyse the impact of the FinTech ecosystem evolution, which is a better method than the linear

projection method to deal with the potential selection bias issue.

Importantly, it can also be overcome through more tailored capacity-building programs, such as

the establishment of digital onboarding centers, the use of localized training manuals, and user

workshops at regional, district, and community levels. Hence, considering the limitations of this

study, one of our future research focuses is to conduct a similar cross-country analysis using data

from Central Asian neighbors to capitalize on the benefits of ecosystem modeling in the area of

financial transparency and digital inclusion.

References

1. Sharma, Gaurav. "What is Digital Banking?". VentureSkies. Retrieved 1 May 2017

2. Law of the Republic of Uzbekistan about Electronic Government, December 3, 2015

3. Decree of the President of the Republic of Uzbekistan dated January 28, 2022 No. PF-60 "On

the Development Strategy of New Uzbekistan for 2022-2026"

4. Ayres, R. On the life cycle metaphor: Where ecology and economy diverge / R. Ayres //

Ecological economics. - 2004. - No. 48. - B. 425-438.

5. Jacobides, M. Towards the theory of ecosystems / M. Jacobides, C. Cennamo, A. Gawer //

Strategic Management Journal. - 2018. - vol. 39, iss. 8. -P. 2255-2276.

6. Adner, R. Adapt your innovation strategy to your innovation ecosystem / R. Adner // Harvard

Business Review. - 2006. - vol. 84, No. 4. - B. 98–107.

7. Sheresheva M.Yu. Forms of network interaction between companies. Moscow, State University

Publishing House - Higher School of Economics, 2010.340 p.

8. Autio E., Thomas LDW Innovation Ecosystems: Implications for Innovation Management.

Dodgson M., Gann DM, Phillips N., eds. The Oxford Handbook of Innovation Management.

Oxford, Oxford University Press, 2014.

9. Yaccobides M., Cennamo C., Gaver A. Industries, Ecosystems, Platforms, and Architectures:

Rethinking Our Strategy at a Global Level. Working paper. London, Business School, 2015.

10. Compiled by the author based on the annual reports of the Central Bank of the Republic of

Uzbekistan

11. Digital Uzbekistan: goals, tasks, prospects (https://mitc.uz/ru/news/view/3011

Библиографические ссылки

Sharma, Gaurav. "What is Digital Banking?". VentureSkies. Retrieved 1 May 2017

Law of the Republic of Uzbekistan about Electronic Government, December 3, 2015

Decree of the President of the Republic of Uzbekistan dated January 28, 2022 No. PF-60 "On the Development Strategy of New Uzbekistan for 2022-2026"

Ayres, R. On the life cycle metaphor: Where ecology and economy diverge / R. Ayres // Ecological economics. - 2004. - No. 48. - B. 425-438.

Jacobides, M. Towards the theory of ecosystems / M. Jacobides, C. Cennamo, A. Gawer // Strategic Management Journal. - 2018. - vol. 39, iss. 8. -P. 2255-2276.

Adner, R. Adapt your innovation strategy to your innovation ecosystem / R. Adner // Harvard Business Review. - 2006. - vol. 84, No. 4. - B. 98–107.

Sheresheva M.Yu. Forms of network interaction between companies. Moscow, State University Publishing House - Higher School of Economics, 2010.340 p.

Autio E., Thomas LDW Innovation Ecosystems: Implications for Innovation Management. Dodgson M., Gann DM, Phillips N., eds. The Oxford Handbook of Innovation Management. Oxford, Oxford University Press, 2014.

Yaccobides M., Cennamo C., Gaver A. Industries, Ecosystems, Platforms, and Architectures: Rethinking Our Strategy at a Global Level. Working paper. London, Business School, 2015.

Compiled by the author based on the annual reports of the Central Bank of the Republic of Uzbekistan

Digital Uzbekistan: goals, tasks, prospects (https://mitc.uz/ru/news/view/3011