Subtopic Deep Dive
Economic Security in Digital Finance
Research Guide
What is Economic Security in Digital Finance?
Economic Security in Digital Finance examines cybersecurity risks, AML compliance, and resilience of digital payment systems to economic shocks in digitized financial services.
Researchers model cyber risks and stress-test digital infrastructures amid digital transformation. Key studies address operational risks in electronic money (Mishchenko et al., 2022, 33 citations) and risk management in remote banking (Mamadiyarov, 2021, 31 citations). Approximately 10 recent papers from 2018-2022 analyze these issues, with over 400 total citations.
Why It Matters
Economic security ensures trust in digital finance amid rising cyber threats and pandemics, as shown in insurance tech transformations (Volosovych et al., 2021, 68 citations) and fintech stability during COVID-19 (Baltgailis and Simakhova, 2022, 27 citations). It supports SME financing via secure platforms (Ivashchenko et al., 2018, 46 citations) and operational risk mitigation in mobile money (Mishchenko et al., 2022). Failures undermine economic stability, as modeled in blockchain-AI governance for crises (Suarez Lopez and Vargas Alcaide, 2020, 43 citations).
Key Research Challenges
Operational Risk in Mobile Money
Electronic money issuers face heightened operational risks from extensive digital adoption. Mishchenko et al. (2022) identify complexities in payment systems requiring advanced management. This challenges EMI stability and system functionality.
Cyber Risks in Remote Banking
Digital transformation accelerates FinTech but exposes banks to cyber vulnerabilities during remote services. Mamadiyarov (2021) stresses gaining customer trust via demand analysis. Pandemic conditions amplify these risks.
Resilience to Economic Shocks
Digital infrastructures must withstand shocks like COVID-19 disrupting chains. Volosovych et al. (2021) highlight inefficiencies in traditional models exposed by pandemics. Suarez Lopez and Vargas Alcaide (2020) propose blockchain-AI for crisis control.
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...
Fintech platforms in SME’s financing: EU experience and ways of their application in Ukraine
Alla Ivashchenko, Ігор Брітченко, Mykhailo Dyba et al. · 2018 · Investment Management and Financial Innovations · 46 citations
The main aim of the given research is to develop an appropriate approach for creation of information FinTech platform with the EU standards compliance mainly for SMEs in order to support innovative...
Digitalization of financial services in European countries: Evaluation and comparative analysis
Олена Пахненко, Pavlo Mykolaiovych Rubanov, Dusan Hacar et al. · 2021 · JOURNAL OF INTERNATIONAL STUDIES · 45 citations
Автори запропонували оцінювати рівень цифровізації фінансових послуг (DFSI) за трьома компонентами: цифрова інклюзія, фінансова інклюзія та цифрові фінансові послуги. Запропонований підхід включає ...
Blockchain, Artificial Intelligence, Internet of Things to Improve Governance, Financial Management and Control of Crisis: Case Study COVID-19
Belen Suarez Lopez, Antonio Vargas Alcaide · 2020 · SocioEconomic Challenges · 43 citations
Today, the coronavirus infection COVID-2019 deals a devastating blow to the economies of most countries due to disruption of production chains, the bankruptcy of small and medium-sized businesses, ...
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...
Operational risk management of using electronic and mobile money
Volodymyr Mishchenko, Svitlana Naumenkova, Andrii Grytsenko et al. · 2022 · Banks and Bank Systems · 33 citations
The extensive use of electronic and mobile money causes additional risks, which complicates the work of electronic money issuers (EMIs) and the functioning of payment systems. The paper aims to inv...
The impact of banking sector development on economic growth: Comparative analysis of Ukraine and some EU countries
Nadiya Rushchyshyn, Olha Mulska, Юлія НІКОЛЬЧУК et al. · 2021 · Investment Management and Financial Innovations · 32 citations
The effective functioning of the banking sector has a key impact on the stability of economic growth. The study is aimed at monitoring the banking sector development and identifying causality betwe...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with highest-cited recent works like Volosovych et al. (2021) for pandemic catalysts in insurance security.
Recent Advances
Prioritize Mishchenko et al. (2022) for mobile money risks, Mamadiyarov (2021) for remote banking, and Baltgailis and Simakhova (2022) for fintech stability.
Core Methods
Core methods include correlation analysis and causality tests (Melnychenko et al., 2020), risk modeling in FinTech (Mamadiyarov, 2021), and digital inclusion metrics (Pakhnenko et al., 2021).
How PapersFlow Helps You Research Economic Security in Digital Finance
Discover & Search
Research Agent uses searchPapers and exaSearch to find papers like 'Operational risk management of using electronic and mobile money' (Mishchenko et al., 2022), then citationGraph reveals clusters around Volosovych et al. (2021) on pandemic-driven insurance tech, and findSimilarPapers uncovers related fintech risk studies.
Analyze & Verify
Analysis Agent applies readPaperContent to extract risk models from Mishchenko et al. (2022), verifies claims with verifyResponse (CoVe) against citation networks, and runs PythonAnalysis for statistical validation of operational risk metrics using pandas on EU fintech data from Ivashchenko et al. (2018); GRADE grading scores evidence strength for cyber resilience claims.
Synthesize & Write
Synthesis Agent detects gaps in AML compliance across papers like Mamadiyarov (2021), flags contradictions in shock resilience narratives, then Writing Agent uses latexEditText, latexSyncCitations for 10 papers, and latexCompile to produce a report with exportMermaid diagrams of risk flows.
Use Cases
"Analyze operational risks in mobile money from recent EU-Ukraine studies"
Research Agent → searchPapers + exaSearch → Analysis Agent → readPaperContent (Mishchenko et al., 2022) → runPythonAnalysis (pandas risk correlation plot) → GRADE-verified statistical summary.
"Model cyber risks in remote banking during digital transformation"
Research Agent → citationGraph (Mamadiyarov, 2021) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → LaTeX report with risk matrix figure.
"Find code for simulating fintech economic shocks"
Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo + githubRepoInspect → runPythonAnalysis sandbox execution → verified shock resilience simulation output.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ digital finance security papers, chaining searchPapers → citationGraph → structured report on risk trends from Mishchenko et al. (2022). DeepScan applies 7-step analysis with CoVe checkpoints to verify resilience models in Volosovych et al. (2021). Theorizer generates hypotheses on blockchain-AI for shocks from Suarez Lopez and Vargas Alcaide (2020).
Frequently Asked Questions
What defines economic security in digital finance?
It analyzes cybersecurity risks, AML compliance, and resilience of digital payment ecosystems to shocks, modeling cyber risks and stress-testing infrastructures.
What methods address operational risks in electronic money?
Mishchenko et al. (2022) investigate operational risk management for EMIs using qualitative and quantitative analysis in payment systems.
Which papers are key for pandemic-era fintech security?
Volosovych et al. (2021, 68 citations) cover insurance tech transformations, Suarez Lopez and Vargas Alcaide (2020, 43 citations) propose blockchain-AI for crisis governance.
What open problems exist in digital finance resilience?
Challenges include scaling cyber risk models for remote banking (Mamadiyarov, 2021) and ensuring SME platform security amid shocks (Ivashchenko et al., 2018).
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