Mapping Cyber-Financial Risk Profiles: Implications for European Cybersecurity and Financial Literacy

This study investigates the landscape of cyber-financial risks across Europe by identifying distinct risk profiles based on financial literacy, digital comfort, and economic vulnerability. Utilizing data from the Flash Eurobarometer 525 survey, we employ K-means cluster analysis to categorize European citizens into five distinct cyber-financial risk profiles: Cyber-Savvy Pragmatists, Digital-Savvy Vulnerable individuals, Cautious Traditionalists, Comfortably Naive individuals, and Digitally Hesitant At-Risk individuals. Our findings show significant variations in risk profiles across demographic groups and European regions, with gender disparities and educational differences. We examine how self-perceived financial knowledge and financial decision-making patterns differ across these profiles, uncovering potential overconfidence in some groups that may exacerbate cyber-financial vulnerabilities. This study also explores regional distributions of risk profiles, highlighting areas of heightened cybersecurity concern across Europe. Our results indicate that cybersecurity strategies should be tailored to address the specific vulnerabilities of each risk profile, with particular attention to gender-based disparities and regional variations. This research contributes to a better understanding of cyber-financial risks in Europe and offers actionable information for policymakers, financial institutions, and cybersecurity professionals in developing targeted interventions to enhance digital financial security across diverse populations.

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Publication Details

Journal
Risks
Published
2024-12-10
DOI
https://doi.org/10.3390/risks12120200
Citations
10
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
5.29
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article

Mapping Cyber-Financial Risk Profiles: Implications for European Cybersecurity and Financial Literacy

Alexandru Răzvan Căciulescu, Alexandru Radovici, Razvan Victor Rughinis, Dinu Țurcanu
10 citations
Risks
FinTech, Crowdfunding, Digital Finance
5.29
article

Mapping Cyber-Financial Risk Profiles: Implications for European Cybersecurity and Financial Literacy

Alexandru Răzvan Căciulescu, Alexandru Radovici, Razvan Victor Rughinis, Dinu Țurcanu
article en
10 citations

Abstract

This study investigates the landscape of cyber-financial risks across Europe by identifying distinct risk profiles based on financial literacy, digital comfort, and economic vulnerability. Utilizing data from the Flash Eurobarometer 525 survey, we employ K-means cluster analysis to categorize European citizens into five distinct cyber-financial risk profiles: Cyber-Savvy Pragmatists, Digital-Savvy Vulnerable individuals, Cautious Traditionalists, Comfortably Naive individuals, and Digitally Hesitant At-Risk individuals. Our findings show significant variations in risk profiles across demographic groups and European regions, with gender disparities and educational differences. We examine how self-perceived financial knowledge and financial decision-making patterns differ across these profiles, uncovering potential overconfidence in some groups that may exacerbate cyber-financial vulnerabilities. This study also explores regional distributions of risk profiles, highlighting areas of heightened cybersecurity concern across Europe. Our results indicate that cybersecurity strategies should be tailored to address the specific vulnerabilities of each risk profile, with particular attention to gender-based disparities and regional variations. This research contributes to a better understanding of cyber-financial risks in Europe and offers actionable information for policymakers, financial institutions, and cybersecurity professionals in developing targeted interventions to enhance digital financial security across diverse populations.

RisksVol. 12(12)
Technical University of Moldova (MD), Academia Oamenilor de Știință din România (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Quality Education
Openalex Percentile: Top 4%
FinTech, Crowdfunding, Digital Finance
5.29
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