Search Results (1,079)

This study examines the psychological mechanisms through which anthropomorphic artificial intelligence (AI) relates to consumer adoption intentions in fragile, low-trust economies. Integrating the Stimulus–Organism–Response framework with the Computers Are Social Actors paradigm, Institutional Trust Theory, and Privacy Calculus Theory, we investigate how human-like AI design shapes cognitive and affective responses within Sierra Leone’s banking sector. Using survey data from 277 banking customers and partial least squares structural equation modeling, we find that AI anthropomorphism exhibits no direct association with adoption intention (β = −0.013, p = 0.760). Instead, its influence is entirely indirect—transmitted in parallel through perceived social presence (β = 0.144, 95% CI [0.062, 0.226]) and trust in the AI system (β = 0.139, 95% CI [0.068, 0.210]). Critically, customer skepticism—shaped by institutional fragility—functions as a boundary condition that substantially attenuates both pathways: among highly skeptical users (+1 SD), anthropomorphism’s conditional effect on social presence becomes non-significant (β = 0.098, p = 0.124) compared to low-skepticism users (β = 0.412, p < 0.001), while its effect on trust is reduced by more than half (β = 0.118 vs. 0.284). These findings identify a critical boundary condition on human-like AI design: in low-trust environments, anthropomorphism operates not as a standalone adoption driver but as a relational amplifier whose efficacy depends on foundational trust and is substantially weakened when skepticism is high. The study challenges universalist assumptions in human–AI interaction research and underscores the need for institutionally sensitive design approaches in fragile economies. Full article

The role of Corporate Social Responsibility (CSR) in advancing economic, social, and environmental well-being has been increasingly acknowledged in the broader context of the United Nations Sustainable Development Goals. For instance, CSR in Saudi Arabia is increasingly framed as a mechanism to support Vision 2030—a national strategy aimed at transforming Saudi Arabia to a sustainable economy. However, evidence on how financial institutions disclose and prioritize CSR at the country level remains fragmented. This study examines the extent and patterns of CSR disclosure across the Saudi banking sector by analyzing publicly available documents, e.g., annual reports and ESG/CSR reports (n = 36) from 10 banks (4 Islamic and 6 commercial). Findings indicate that CSR disclosures were primarily clustered into four macro themes—society, economic contribution, internal stakeholders, and environment—with a strong thematic emphasis on philanthropic activities, financial donations, disability support, and financing for Small and Medium Enterprises (SMEs). Environmental initiatives were disclosed less frequently and were generally narrower in scope, focusing on resource efficiency, recycling, and selective green financing. In addition, a comparative analysis between Commercial and Islamic banks revealed that the latter focused on values-based CSR, while commercial ones emphasized governance-oriented CSR. Full article

In today’s world, climate change has become a global predicament. The implications for financial sector activities have given rise to ample literature on the climate change and banking system stability nexus in developing economies. However, there still remain important knowledge gaps pertaining to areas such as the asymmetric impact of climate change on banking system relationships, threshold effects, and transmission channels. Therefore, this research investigated the impact of climate change on banking system stability in the Southern Africa Development Communities (SADC). The study employed a panel data estimation technique, analysing fixed and random effects to test these hypotheses in SADC. In doing so, it not only explored how climate-related risks affect banking stability but also assessed how economic, environmental, and institutional dynamics mediate this relationship. The findings contribute to informing regional policy on financial resilience and adaptive climate strategies within fragile banking environments. Full article

This study explores how innovation, economic diversification, and digitalization are boosting Oman’s efforts toward building a smart economy within the context of Oman’s banking and financial regulatory sector, while considering the role of artificial intelligence and governmental support. Supported by the and the Resource-Based View and Innovation Diffusion Theory, this study views innovative and digital competences as key national resources that help governments and organizations to adapt to technological variation and reinforce economic pliability. By using a quantitative approach and convenient sampling, the data were collected through a closed-ended structured questionnaire from 296 individuals representing businesses across Oman and analyzed using SmartPLS 4.0. The results demonstrate that innovation, diversification, and digitalization have a positive and significant impact on governmental support, which eventually plays a mediating role in leading the implementation of a smart economy. Although artificial intelligence was expected to strengthen the effects of digitalization and innovation, the findings reveal that its moderating role is not yet significant, suggesting an early stage of AI diffusion within the banking sector. These results not only confirm Resource-Based View and Innovation Diffusion Theory in an emerging economy but also present practical understandings for business leaders and policymakers. Furthermore, these findings underscore the importance of institutional readiness and diffusion maturity in shaping the role of advanced technologies in smart economy development. This study also suggests that incorporating AI-driven innovation, digital capability development, and strong governance can support Oman to attain the Vision 2040 goals of endorsing diversification, inclusive economic growth, and sustainability in the digital era. Full article

Indonesia’s financial system is bank-centric, with banks managing approximately 78% of the nation’s financial assets; therefore, the effectiveness of monetary policy transmission depends on banks’ responsiveness to the central bank’s interest rate policy (the BI Rate). However, a policy-relevant anomaly persists: deposit rate pricing is more strongly anchored to the Deposit Insurance benchmark (IDIC Rate) than to the BI Rate. This study argues that this research is significant because it identifies a “Dual Benchmark System” that traditional single-anchor models fail to address, representing a critical friction in emerging market transmission. This study examines this dual-benchmark paradigm and the associated asymmetric risks using a panel VAR with a Generalized Impulse Response Function (GIRF) on quarterly data for 63 commercial banks from 2010 to 2024. The results indicate that IDIC Rate shocks have a larger and more persistent effect on deposit rates than BI Rate shocks, generating asymmetric transmission risks. This dominance creates a structural “price ceiling” that keeps funding costs high, ultimately raising lending rates for borrowers and distorting deposit growth rates. Furthermore, this analysis reveals that external policy signals are far more influential than internal financial performance. This suggests that under the Basel III framework and prevailing financial regulations, banks prioritize liquidity compliance and safety net protection over internal operational efficiency. Macroeconomic shocks remain weaker than policy shocks and dissipate more quickly. This finding reveals a potential systemic coordination risk, implying an urgent need for tighter policy coordination between the Central Bank and the IDIC to reduce structural frictions, maintain transmission effectiveness, and protect long-term financial stability. Full article

The growing importance of sustainability in the financial sector increases the need to analyse the green image of banks. However, research to date mainly focuses on large commercial banks, while cooperative banks, despite their local nature of operation and strong social ties, remain relatively poorly recognised empirically, especially regionally and in terms of young consumers’ perceptions. The aim of this article is to assess the level of the green image of cooperative banks and to identify selected socio-demographic and economic, psychological, and behavioural determinants that determine its perception by young customers in a selected region of Poland. Empirical research was conducted using a survey method (questionnaire interview, n = 256) in 2024. The green image was operationalised as a synthetic indicator, including an assessment of cooperative banks’ environmental responsibility activities, environmental initiatives, and sustainability communication, measured on a scale of 1–7. Student’s t-test, analysis of variance and a logistic regression model were used in the data analysis. The results indicate that the green image of cooperative banks in the study group is neutral (M = 4.34). Statistically significant differences were found depending on selected characteristics of the respondents. The results suggest the need to segment communication activities in the area of sustainability and to adapt the image-building strategy to the profile of young customers. Full article

This study empirically investigates the performance of Elastic Machine Learning, an industrial, unsupervised anomaly detection tool, in the identification of fraudulent behavior in banking transactions. Using AI-generated datasets that were designed to simulate realistic banking environments, the analysis examines three distinct fraud-related scenarios: (i) abnormal associations between a single account and multiple IP addresses, (ii) bursts of cross-border transactions within short time windows, and (iii) unusually high transaction values relative to historical behavior. The results show that the Elastic platform consistently detects anomalous patterns across all examined scenarios by flagging suspicious behavior during the fraud window in real time. This study provides the first empirical assessment of the operational behavior of an industrial, unsupervised anomaly detection platform across multiple fraud-related scenarios in the banking sector, offering practical insights for real-time fraud monitoring and early-warning systems, while supporting institutional resilience and the robustness of the financial system. Full article

Economic shocks in international systems propagate not only through financial channels but also through real-sector interactions, creating feedback effects that can amplify systemic risk across countries. However, country-level systemic risk assessments often rely on single-layer analyses, potentially overlooking such cross-channel dynamics. To investigate how country-level systemic risk interpretations differ across propagation layers, we constructed a multilayer network that integrates cross-border financial exposures and real-sector trade linkages. Using BIS Locational Banking Statistics and UN Comtrade data for 20 countries from 2000 to 2023, we developed a multilayer contagion framework that combines continuous within-layer propagation based on DebtRank with a threshold-based mechanism that activates cross-layer contagion when critical loss levels are exceeded. Initial shocks were calibrated using sovereign credit default swap (CDS), which implies default probabilities, to reflect market-based credit risk conditions. The results show that countries’ systemic roles and risk transmission patterns vary across layers and over time, and that incorporating cross-layer amplification reveals vulnerabilities not captured by single-layer models. Full article

Coffea arabica, a popular beverage ingredient, is prized for its rich chemical composition, which has demonstrated significant positive effects in terms of antioxidant, anti-inflammatory, neuroprotective, and metabolic health. In November 2024, fruit rot with a 15% incidence was observed on C. arabica in Menglian city, Yunnan province, China. Symptoms began as irregular black spots that turned necrotic, wrinkled, and cracked. Fungal isolates from lesions showed morphological characteristics consistent with Fusarium coffeibaccae. Morphological data were supplemented with phylogenetic analyses based on three loci (ITS, TEF1-α, RPB2), and sequences were deposited in GenBank as for ITS (PV211189 and PV211190), TEF1-α (PQ867811 and PQ867812), and RPB2 (PV261064 and PV261065). Koch’s postulates were fulfilled on attached fruits. After 17 days at 25 °C with 70% humidity, typical rot symptoms appeared on inoculated fruits, while controls remained symptom-free. This is the first report of C. arabica fruit rot caused by F. coffeibaccae in China. This study aims to identify the aetiological agent of recently observed coffee fruit rot in Yunnan and to characterize F. coffeibaccae. It provides the first baseline data for targeted monitoring and sustainable control of F. coffeibaccae-mediated fruit rot in China’s expanding coffee sector. Full article

This study examines the transmission of monetary policy to bank credit granted to the non-financial private sector in Morocco, a bank-dominated emerging economy where non-financial corporations play a central role in investment, employment, and economic growth. Using monthly data over the period 2006–2023, the analysis relies on an ARDL–ECM framework that distinguishes short-run credit dynamics from long-run adjustment processes while accounting for potential structural breaks. The results indicate that changes in the policy rate do not exert a statistically significant effect on bank credit in the short run, suggesting a high degree of credit inertia. The bounds test supports the existence of a stable long-run equilibrium relationship in credit, although no significant long-run elasticities with respect to monetary policy or credit risk variables are identified. Instead, credit dynamics appear to be driven primarily by short-run adjustment mechanisms, largely shaped by credit risk and balance-sheet allocation. Overall, these findings suggest that monetary transmission in Morocco operates gradually and indirectly, mainly through prudential and balance-sheet channels rather than the conventional interest-rate channel. This implies that the effectiveness of monetary policy depends critically on prevailing risk conditions and their interaction with prudential frameworks in bank-based emerging financial systems. Full article

As cryptocurrencies evolve from niche assets to systemic financial components, the banking sector faces a strategic dilemma: displacement or adaptation. Using 27,510 bank–year observations from 2014 to 2023 across thirty-two economies, predominantly within the European banking sector, this study isolates the technological prerequisites for this adaptation. We employ a continuous interaction model with robust controls to test how national digital infrastructure moderates bank responses to valuation cycles in the four dominant cryptocurrencies by market capitalization (Bitcoin, Ethereum, Ripple, and Binance Coin). The results document a robust lagged complementarity effect: in digitally advanced economies, cryptocurrency booms significantly increase bank non-interest income in the subsequent year, while lending portfolios remain unaffected. A one-standard-deviation increase in crypto returns interacts with digital capacity to boost fee revenue by approximately 0.7 percentage points (0.20 standard deviations). Crucially, this effect persists after controlling for GDP and equity market interactions, confirming that technological capacity, rather than general economic wealth, acts as the binding constraint. These findings refine FinTech adaptation research by demonstrating that high-bandwidth infrastructure enables banks to monetize external volatility via service deployment and custody, transforming a potential threat into a structural revenue stream.m. Full article

This paper examines the short-run transmission of monetary policy to bank credit granted to the non-financial corporate sector in Morocco, a bank-based emerging economy. Using monthly macro-financial data over the period of 2014–2024, the study estimates a reduced-form VAR model to analyze the dynamic interactions between the policy rate, bank credit, banks’ holdings of sovereign securities, credit risk indicators, and short-term market spreads. Impulse response functions and forecast error variance decompositions indicate that a one-standard-deviation monetary policy shock is associated with a small and short-lived response of non-financial corporations bank credit at a monthly horizon, accounting for only a limited share of its forecast error variance, while the same shock is more strongly reflected in market spreads and banks’ balance-sheet reallocations toward sovereign assets, alongside temporary movements in credit risk indicators. Overall, these results are consistent with a reduced-form transmission pattern in which monetary policy appears to affect bank credit primarily through indirect financial channels related to risk perception, portfolio reallocation, and balance-sheet management, rather than through immediate changes in aggregate credit volumes. This interpretation is conditional on the VAR specification and short-run horizon considered, and suggests an attenuation of the interest rate–credit channel in a bank-dominated emerging economy, rather than evidence of a structural breakdown of monetary transmission. Full article

The expansion of financialised capitalism has increasingly compelled actors in the banking and financial sector to engage with population groups that have traditionally remained outside the sphere of financial investment practices. Over recent decades, the number of small household investors has grown substantially. This article asks the following questions: Given the inherent complexity and uncertainty of financial markets, how do banks appeal to customer segments with limited familiarity with financial theory and practice? What kinds of narratives underpin their marketing strategies? The analysis demonstrates how these narratives are crafted through emotive, moral, and cognitive elements tailored to customers situated in specific phases of the life course. The concept of financial seductibility serves as an analytical lens, highlighting how the appeal of financial products is highly context-dependent. The article thereby enriches and adds classificatory nuance to the literature on household financialisation. Full article

The RAG agentic architecture has demonstrated its ability to transform large language models (LLMs) into agents capable of planning, reasoning, and executing subtasks using external tools or APIs. In the financial sector, one of the main priorities when implementing new technologies—especially in systems like chatbots—is the protection of customer data and the need to maintain customer trust, making the challenges significant. This research presents a robust banking chatbot system that integrates RAG agentic architecture with specialized financial components, setting a new standard in the digital banking sector by prioritizing security, transparency, and functionality. The contributions of this work include the implementation of RAG agentic reasoning and self-correction financial components, and, primarily, the empirical study of the impact of a semantic firewall with online learning in financial RAG agentic systems, evaluated using public benchmarks and standard ranking metrics. Full article

The European Union’s energy transition framework presents significant challenges for the maritime sector, requiring technical, organizational, and market-based compliance measures. The FuelEU Maritime Regulation (FuelEU) introduces flexible mechanisms such as banking, borrowing, and pooling that broaden compliance options for shipowners. This study examines the role of pooling in European shipping, focusing on its operational models, enabling conditions, and economic implications. Pool formation demands extensive information exchange and effective coordination, creating a need for specialized intermediaries and supporting the emergence of a market in which pooling prices are shaped by supply and demand. The research employs a qualitative methodology combining stakeholder and exploratory market analysis, assessment of regulatory and market drivers, case studies, and comparative analysis, complemented by expert interviews and a targeted survey. The findings highlight pooling as a pivotal compliance instrument, particularly as a fallback option during the reporting period, and show that it currently represents the most cost-efficient means of achieving FuelEU compliance. Intermediary service providers, especially digital platforms, play a central role by facilitating coordination, improving transparency, and reducing compliance costs. The study further identifies key factors influencing shipowners’ costs and revenues in pools, emphasizing the critical importance of alternative fuel availability and prices. Full article