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Digital Transformation in Banking
Research Guide

What is Digital Transformation in Banking?

Digital Transformation in Banking examines the adoption of digital technologies to modernize core banking systems, enhance customer experiences, and improve competitiveness in retail and corporate banking sectors.

Studies focus on neobanking models, system upgrades, and profitability via event studies and analytics (Kolodiziev et al., 2021; 37 citations). Research highlights impacts of digitalization on Ukrainian banks' competitiveness and global fintech integration (Melnychenko et al., 2020; 37 citations). Over 10 key papers from 2020-2021 analyze these shifts, with 30-68 citations each.

Curated Papers

Key Challenges

Why It Matters

Digital transformation enables banks to counter fintech competition through online services and e-payments, as shown in Ukrainian bank competitiveness analysis (Kolodiziev et al., 2021). It drives economic growth via banking sector efficiency, with causality links identified between banking development and GDP in Ukraine and EU countries (Rushchyshyn et al., 2021). Innovations like digital banking technologies boost operational modernization and resource allocation for microeconomic systems (Tulchynska et al., 2021).

Key Research Challenges

Measuring Competitiveness Impact

Quantifying how digital transformation affects bank profitability remains difficult amid rapid fintech growth. Kolodiziev et al. (2021) assess Ukrainian banks' shift to online models but note gaps in longitudinal data. Event studies struggle with isolating digital effects from market factors.

Core System Modernization Barriers

Legacy systems hinder full digital integration in banking operations. Popelo et al. (2021) review world experiences in financial innovations, highlighting implementation delays in Ukrainian models. Resource constraints limit innovation strategies during digitalization (Tulchynska et al., 2021).

Customer Experience Redesign Risks

Balancing digital service adoption with traditional customer retention poses challenges. Melnychenko et al. (2020) identify dominant fintech ideas in digital banking but point to adoption barriers. Analytics reveal uneven impacts on retail versus corporate segments.

Essential Papers

Transformation of insurance technologies in the context of a pandemic

Svitlana Volosovych, Iryna Zelenitsa, Diana Kondratenko et al. · 2021 · Insurance Markets and Companies · 68 citations

The COVID-19 pandemic has affected different sectors of the economy, including insurance, and has become a problem and a clear catalyst for innovation. The pandemic has highlighted some inefficienc...

The effect of digital technology development on economic growth

Inna Irtyshcheva · 2020 · International Journal of Data and Network Science · 65 citations

The article simulates the impact of the digital technologies’ development on economic growth, which makes it possible to find ways to improve the quality of various spheres of life and identify are...

The Ecosystem of VAT Administration in E-Commerce: Case of the Eastern Europe Countries

Алла Абрамова, Kostiantyn Shaposhnykov, Артур Жаворонок et al. · 2021 · Studies of Applied Economics · 51 citations

Quarantine economic conditions put forward new demands to tax administration’s efficiency as a priority source of the EU financial resources. The relationship between fair, efficient, sustainable t...

The Resource Supply of Innovation and Investment Strategies of the Microeconomic Systems Modernization in the Conditions of Digitalization

Svitlana Tulchynska, Olha Popelo, Olha Vovk et al. · 2021 · WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT · 38 citations

Within the presented study, applied aspects of the resource provision of innovation and investment strategies for modernization of microeconomic systems in the context of digitalization are submitt...

The level of digital transformation affecting the competitiveness of banks

Oleh Kolodiziev, Mykhailo Krupka, Nataliya Shulga et al. · 2021 · Banks and Bank Systems · 37 citations

The article examines the competitiveness of Ukrainian banks influenced by economy digitalization, the dynamic spread of electronic payments and e-commerce, as well as innovative technologies aimed ...

DOMINANT IDEAS OF FINANCIAL TECHNOLOGIES IN DIGITAL BANKING

Svitlana Melnychenko, Svitlana Volosovych, Yurii Baraniuk · 2020 · Baltic Journal of Economic Studies · 37 citations

The purpose of the research is the definition of the dominant ideas of financial technologies in digital banking. The methods of theoretical generalization, qualitative, quantitative and correlatio...

Digital transformations of logistics customer service business models

Mariia Hryhorak, Natalia Trushkina, Tadeusz Popkowski et al. · 2020 · Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020 · 36 citations

The article presents the results of expert surveys conducted by international organizations as a method of empirical research to identify current problems, features and trends of customer-oriented ...

Reading Guide

Foundational Papers

Start with Zaytseva et al. (2014, 5 citations) for early service technology improvements in banking, providing baseline for digital shifts.

Recent Advances

Prioritize Kolodiziev et al. (2021) for competitiveness metrics and Melnychenko et al. (2020) for fintech ideas in digital banking.

Core Methods

Core techniques include event studies (Rushchyshyn et al., 2021), correlation/causality tests (Melnychenko et al., 2020), and resource strategy modeling (Tulchynska et al., 2021).

How PapersFlow Helps You Research Digital Transformation in Banking

Discover & Search

Research Agent uses searchPapers and exaSearch to find core papers like 'The level of digital transformation affecting the competitiveness of banks' by Kolodiziev et al. (2021), then citationGraph reveals 37 citing works on Ukrainian banking digitalization, while findSimilarPapers uncovers related fintech studies.

Analyze & Verify

Analysis Agent applies readPaperContent to extract metrics from Kolodiziev et al. (2021), verifies causality claims in Rushchyshyn et al. (2021) via verifyResponse (CoVe), and runs PythonAnalysis with pandas to replicate event study regressions on bank profitability data, graded by GRADE for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in neobanking coverage across Melnychenko et al. (2020) and Tulchynska et al. (2021), flags contradictions in innovation impacts; Writing Agent uses latexEditText, latexSyncCitations for bank model diagrams, and latexCompile to produce polished reports with exportMermaid flowcharts of digital transformation stages.

Use Cases

"Analyze profitability impacts of digital transformation on Ukrainian banks using event studies."

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas regression on Kolodiziev et al. 2021 data) → outputs verified statistical models and GRADE-scored causality tables.

"Draft a LaTeX review on neobanking models versus traditional banks."

Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Melnychenko et al. 2020) + latexCompile → outputs camera-ready PDF with cited sections and mermaid diagrams of banking ecosystems.

"Find GitHub repos with code for banking digital transformation simulations."

Research Agent → citationGraph on Popelo et al. 2021 → Code Discovery (paperExtractUrls → paperFindGithubRepo → githubRepoInspect) → outputs inspected repos with economic growth simulation scripts from Irtyshcheva (2020).

Automated Workflows

Deep Research workflow scans 50+ papers on banking digitalization via searchPapers chains, producing structured reports with GRADE-verified summaries from Kolodiziev et al. (2021). DeepScan applies 7-step analysis with CoVe checkpoints to validate fintech competitiveness claims in Melnychenko et al. (2020). Theorizer generates hypotheses on core system modernization from Tulchynska et al. (2021) resource strategies.

Try Doxa for Digital Transformation in Banking Research

Frequently Asked Questions

What defines digital transformation in banking?

It covers neobanking, core modernizations, and customer redesigns to boost competitiveness (Kolodiziev et al., 2021).

What methods assess banking digital impacts?

Event studies, customer analytics, and causality tests measure profitability and growth effects (Rushchyshyn et al., 2021; Melnychenko et al., 2020).

What are key papers on this topic?

Kolodiziev et al. (2021, 37 citations) on bank competitiveness; Melnychenko et al. (2020, 37 citations) on fintech in digital banking; Popelo et al. (2021, 30 citations) on financial innovations.