Skip to content

Author

Anica Vukašinović

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Open access 2025

From Digital Interactions to the Metaverse: Bibliometric Analysis of Contemporary Consumer Behavior and New Research Trends

The aim of this work is a bibliometric analysis of scientific production in the field of consumer behavior, cluster analysis, and identification of the latest research trends. The analysis includes 8,837 scientific publications from the Web of Science Core Collection (WoSCC) database from 2020 to 2025, using the PRISMA and SPAR-4-SLR protocols and the VOSVIEWER tool. By applying cluster analysis and co-occurrence analysis, seven research clusters were identified: (1) Psychological, socio-cultural and brand-specific foundations; (2) Consumer engagement, value co-creation and technology-mediated interactions; (3) Digital marketing, social media and online influence; (4) Online environment, e-commerce and data management; (5) Technology adoption, mobile and virtual experience, metaverse; (6) Service quality, satisfaction, loyalty and experience in physical and service environments; and (7) Negative consumer experiences, the impact of the crisis and service recovery. The findings of this study are relevant for theoreticians and practitioners in the field of business economics, and guidelines for further research trends are also observed.

Višnja Bartolović, Anica Vukašinović, M. Puvača · 0 citations
Open access Aug 2026

Exchange-Rate Volatility and Financial Stability in the Banking Sector: Distributional Evidence from G7 and High-Income European Economies

The present study examined how volatility in exchange rates shapes banking-sector financial stability across the G7 and six high-income European countries, consisting of 13 developed economies. The study analyses the time period from 2000 to 2023. To measure volatility, the present study employed the GARCH(1,1) conditional variance of monthly real effective exchange rates. Stability is measured through the following two supporting indicators: Bank Z-score (solvency) and Non-Performing Loan (NPL) ratio (credit quality). Our analysis combines the Fully Modified OLS and two-step System GMM for analysing long-run and dynamic effects. To assess distributional heterogeneity, Method of Moments Quantile Regression (MMQR) is employed, while Dumitrescu–Hurlin tests are used for examining causality. The results show that volatility in exchange rates significantly reduces bank solvency and elevates credit risk. These effects are highly uneven: the adverse impact falls on the most fragile banking systems—those in the lower quantiles of the Z-score distribution and the upper quantiles of the NPL distribution. Causality runs unidirectionally, moving from volatility to instability. Institutional quality, which is proxied by the rule of law and regulatory quality, is seen to significantly decrease the credit-risk channel but not the solvency channel. Our findings provide implications for developed economies and support targeted, fragility-sensitive macro-prudential policy.

Ivana Miklošević, Katerina Fotova Čiković, Anica Vukašinović · 0 citations