Search Results (66)

Mobile payment systems are widely viewed as a practical lever for sustainable financial inclusion in developing economies, with relevance to UN Sustainable Development Goals 1, 8, and 10. Yet in countries such as Egypt—where mobile penetration exceeds 95% but banking penetration remains below 35%—sustained engagement with these services lags policy expectations, suggesting that determinants beyond technology shape behavior. This study examines the determinants of behavioral intention and continued use of mobile payment among Egyptian users, and tests whether cultural factors dominate conventional technology-acceptance predictors in a collectivist, high-power-distance setting. A structured bilingual (Arabic–English) questionnaire measuring nine predictors across technology, psychological, and socio-cultural dimensions was administered to 200 active mobile-payment users in Egypt during January–February 2025. Hierarchical regression and mediation analysis (with Sobel/delta-method 95% confidence intervals as a robustness check) were used to examine direct effects on Behavioral Intention and continued use, and the mediating role of Behavioral Intention. Cultural Influence emerged as the strongest predictor of Behavioral Intention (β = 0.421, p < 0.001), followed by Facilitating Conditions (β = 0.282, p < 0.001); conventional TAM variables were not statistically significant. Cultural Influence retained a significant direct effect on continued use (β = 0.253, p < 0.01), indicating partial mediation. The findings support culture-sensitive approaches to technology adoption research and inform financial-inclusion policy in non-Western contexts. Limitations include the cross-sectional design and the convenience-based snowball sample of existing users. Full article

Computer fraud has become a rapidly expanding form of cybercrime linked to the growth of digital infrastructures and socioeconomic development. This study adopts a socio-technical systems perspective to examine the temporal evolution, regional disparities, structural determinants, and future trends of computer fraud in Spain (2011–2022). Official data from the Spanish Ministry of the Interior were used to calculate incidence rates per 100,000 inhabitants. Temporal trends were analyzed using linear regression, regional patterns using clustering analysis, and structural associations using correlation models. Projections were developed to estimate trends up to 2035. Computer fraud increased sharply from 44.7 to 707.7 cases per 100,000 inhabitants, with the strongest growth observed in card and bank fraud. Higher rates were found in economically developed and highly digitalized regions. Fraud incidence was positively associated with broadband access, mobile connectivity, and income levels, whereas traditional technologies were negatively associated. These findings indicate that computer fraud should be understood as a system-level phenomenon driven by the interplay of digital, economic, and territorial factors. Effective prevention requires integrated strategies that combine technological, regulatory, and educational measures, adapted to regional vulnerability profiles. Full article

This research enhances the literature on bank capital structure by combining financial intermediation theory with technological innovation to analyse the impact of FinTech adoption and liquidity management on leverage choices in South African banks. Utilising panel data spanning 2015 to 2024 and applying the Generalised Method of Moments (GMM) to tackle endogeneity and dynamic persistence, the research presents new findings from an overlooked emerging market setting. The results show a diverse effect of technology on leverage. Conventional banking systems, represented by automated teller machines (ATMs), show a positive relationship with the total debt ratio (TDR), suggesting a capital-intensive nature of tangible assets. Conversely, digital technologies such as mobile banking and a composite FinTech Index display a notable negative correlation with leverage, indicating that digital transformation improves efficiency, strengthens internal funding capacity, and reduces dependence on external debt. Moreover, increased liquidity levels are negatively correlated with leverage, suggesting that well-capitalised banks with robust liquidity rely less on debt funding. By examining FinTech and liquidity dynamics, the research contributes to both theory and practice, emphasising digital innovation as an alternative to external funding and stressing the importance of sound liquidity management amid evolving regulatory environments such as Basel III. Full article

Financial inclusion is widely regarded as an important driver of economic development and social well-being, yet existing evidence often treats inclusion as a uniform process. This study examines how different channels of financial inclusion relate to regional economic activity across Mexican states between 2018 and 2023. Distinguishing among traditional banking infrastructure, card-based financial products, and digital inclusion through mobile banking, the analysis finds that digital adoption is the most robust margin associated with higher economic activity, even after accounting for persistent regional differences. Dynamic evidence further suggests a sequential, mobile-first pattern of financial deepening, in which the expansion of mobile banking precedes improvements in economic performance and the later diffusion of credit-based instruments. In contrast, traditional access indicators display weaker short-run associations with regional output. Overall, the findings highlight the importance of technological channels and timing in shaping the economic impact of financial inclusion, particularly in regions where physical financial infrastructure remains limited. Full article

This study examines the impact of mobile wallet adoption on the profitability of a banking institution in Peru during the period 2021–2025, in a context of rapid digital transformation in financial services. The research adopted a quantitative, non-experimental, longitudinal, and explanatory design based on a single-bank case study. Mobile wallet adoption was measured through a synthetic index (IAD) constructed from five indicators using principal component analysis, while profitability was assessed through return on assets (ROA), return on equity (ROE), and aggregate monetary profitability. The effect of the IAD on profitability was estimated using generalized estimation equations with HAC-type robust standard errors. The results show that mobile wallet adoption exerts a positive and statistically significant effect on all three profitability indicators, with the strongest effect on aggregate monetary profitability, followed by ROE and ROA. These findings contribute to the literature by providing longitudinal evidence from an underexplored emerging economy and by showing that the financial effects of digital adoption differ according to the profitability measure considered. Overall, the study highlights the relevance of mobile wallet adoption as a strategic digital factor in banking performance within emerging financial contexts. Full article

This study investigates the potential effects of Mobile Money (MM) and Central Bank Digital Currencies (CBDCs) on the average transaction costs of remittances to Sub-Saharan Africa (SSA), with a focus on Nigeria. While much of the current literature highlights the theoretical benefits of CBDCs in reducing intermediation costs, empirical evidence remains limited. The analysis combines descriptive statistics and regression models to examine the role of MM in reducing remittance fees across SSA. In addition, the Synthetic Control Method (SCM) is applied to assess the post-launch impact of Nigeria’s CBDC, the eNaira, on inward remittance costs. Results show that MM adoption is associated with significant reductions in remittance costs, reinforcing its importance as a tool for financial inclusion and efficiency. In contrast, the eNaira is not yet associated with transaction fee reduction and has not displaced the bank-dominated remittance channels, which are the most expensive. These findings suggest that while CBDCs hold promise, their effectiveness in emerging markets depends on complementary digital infrastructure and policies that support competition and interoperability. This paper offers one of the first empirical assessments of a CBDC’s economic impact on remittance costs, moving beyond largely theoretical or technical discussions. Jointly analyzing MM and CBDCs provides novel insights into their interaction and highlights policy considerations for emerging markets piloting CBDCs or expanding MM infrastructure. Full article

This paper presents a theoretical and empirical analysis of how banks apply artificial intelligence (AI) in digital and mobile banking to implement and communicate ESG (Environmental, Social, and Governance) strategies, with particular emphasis on environmental dimensions of sustainable finance. The study adopts a mixed methodological approach combining desk research, encompassing a synthesis of academic studies, industry reports, and European regulatory frameworks on AI and ESG, and case study analysis of selected banks implementing AI-based sustainability solutions. The findings reveal that AI supports ESG strategy implementation primarily through green investment recommendations, carbon footprint analytics, automated sustainability reporting, and ethical communication with clients. AI-driven tools enhance the operational efficiency, transparency, and customer engagement of financial institutions while simultaneously fostering low-carbon financial behaviors. However, the study also highlights ethical and governance challenges related to algorithmic transparency, data bias, and responsible AI oversight. The paper contributes to the growing body of literature on AI-driven digital transformation and sustainable finance by identifying research gaps and outlining future directions for exploring the role of AI in accelerating the transition of the banking sector. Full article

Over the last decade, there has been a significant increase in banks’ investment in technology, alongside a substantial rise in CEO compensation. Research on executive compensation has primarily focused on traditional performance metrics, such as return on assets and return on equity, as well as governance factors. Investigating the nexus between fintech adoption and CEO compensation introduces a new perspective on the determinants of CEO pay and how technological transformation influences executive remuneration structures. This study investigated the relationship between Chief Executive remuneration and fintech adoption among banks listed on the Johannesburg Stock Exchange. There is a lack of literature on the impact of technology adoption on CEO compensation in developing and emerging economies. The quantitative longitudinal study, conducted over 15 years from 2010 to 2024, collected secondary data from the annual reports of six banks and the IRESS database. A panel data fixed effects regression analysis was employed to analyze the data. CEO compensation included both salary and total compensation. Fintech variables used for the study included automated teller machines, mobile banking, and internet banking. The findings revealed a positive relationship between CEO salary and the rollout of ATMs and mobile banking, while an inverse relationship was noted between salary and internet banking. Similarly, total compensation showed an inverse relationship with the adoption of ATMs and internet banking, whereas mobile banking had a positive effect on total compensation. Understanding how technology impacts CEO compensation can help remuneration committees ensure that CEO pay is linked to the value that infrastructure investments bring to an organization, rather than simply the number of innovations introduced. This understanding will also help solve the principal-agent problem, as it will ensure technology innovations that enhance firm performance are rewarded. In the context of emerging markets, the study’s findings suggest that organizations should recognize and formalize pay linked to digital transformation, rather than focusing solely on short-term financial metrics. This also suggests the need to develop guidelines for executive remuneration disclosure related to the technology sector. The close connection between fintech adoption and technological and regulatory risks highlights the need to balance incentive structures that reward innovation with risk-adjusted performance measures. Full article

The digitalization of finance has accelerated the diffusion of FinTech and raised new questions about how AI, data security and blockchain shape consumer behaviour. This article examines current FinTech users, focusing on mobile banking, security perceptions, AI-enabled personalisation and trust in blockchain. A structured online survey of 191 adult users was analysed with descriptive statistics, chi-square tests and three multiple linear regression models. Results show that adoption is overwhelmingly mobile centric: 84.8% primarily use mobile banking applications, accessed almost exclusively via smartphones (96.9%). Data security is the dominant decision criterion, rated “very important” by 83.3% of respondents. While 70.1% believe AI can substantially improve the FinTech experience, trust depends on transparent explanations of how algorithms operate and on guarantees of personal data protection. Regression models indicate that usage intensity is higher among younger, higher-income users and those who perceive simplified interfaces as encouraging, whereas positive views of AI are broadly shared and not segment-specific. Trust in blockchain is linked to a pro-technology mindset rather than to socio-demographic or urban–rural differences. The findings highlight “secure convenience” and explainable AI as central conditions for sustainable FinTech engagement. Full article

The Botanical Garden of Southern Federal University (SFedU Botanical Garden) is the first botanical garden in the steppe zone of southern Russia, founded in 1927. The priority task of the SFedU Botanical Garden was the introduction of woody plants for greenery and forestry. It has been shown that the introduction of woody plants was the root cause of their invasion in the region. A total of 24 species of invasive trees and shrubs have been identified in the Priazovsky district of the Rostov region. Using species with high seed reproductive capacity and resistance to climatic factors to expand the range of woody plants used for greenery in urban areas poses a real threat of invasion. Thus, 83 species spread spontaneously from the SFedU Botanical Garden collections across its territory, 50 of which are not currently found in the regional culture. An important step in the management of invasive woody plants is for municipalities to adopt basic assortment lists for greening purposes. The SFedU Botanical Garden’s collection policy for woody plants should focus on reducing the number of species in living plant collections by removing species that self-seed and currently have no scientific, educational, or practical use. These species can be stored in a seed bank for future use. The introduction policy of the SFedU Botanical Garden should be aimed at mobilizing and introducing species that are not only highly resilient and effective in providing ecosystem services, but also possess properties that limit their invasion. Full article

As Morocco aspires to position itself as a regional hub for financial innovation in Africa, its Fintech sector presents a paradox: despite a robust digital infrastructure and growing institutional support, adoption remains limited. Systemic barriers—such as a persistent cash-based culture, low mobile money usage, and fragmented collaboration—continue to impede the sector’s growth. Against this backdrop, this study applies the Delphi research method to systematically identify and prioritize the most pressing challenges and strategic actions facing Morocco’s Fintech ecosystem. Drawing on the insights of 45 experts from finance, technology, academia, startups, and service-oriented organizations, the study follows a three-phase process: open-ended brainstorming, narrowing down, and final ranking. The process produced consensus around 12 key challenges and 12 strategic actions, including the need for an open banking framework, a unified national Fintech vision, regulatory sandboxes, and improved collaboration between incumbents and startups. These findings offer actionable insights to Moroccan policymakers and industry leaders and contribute to Fintech research in emerging economies. Full article

This study is to explore information synthesis on research topics and emerging trends in privacy within the context of technology adoption. A search for the terms privacy and technology adoption in the Web of Science database yielded information on 2910 publications from 2005 to 2025. The analysis was conducted using CiteSpace, incorporating cluster analysis, timeline analysis, and burst detection to identify key patterns and developments. Fifteen sub-areas of privacy related to technology adoption were identified, including health information exchange, blockchain adoption, artificial intelligence, Internet banking, smart home devices, location-based services, mobile commerce, ubiquitous commerce adoption, tracing apps, metaverse adoption, and facial recognition payment. Timeline analysis provided insights into the growth or decline of these research clusters over time. Based on the findings, a framework was developed to illustrate key insights and their interconnections, offering guidance for future research. The study concludes by discussing its implications, limitations, and recommendations for further research. Full article

Face recognition is one of the most widely adopted biometric technologies, with applications in mobile devices, banking, and access control. However, its widespread use raises security concerns. One of the most common threats is presentation attacks (PAs), in which adversaries spoof the system using printed photos, videos, or masks. Developing effective Presentation Attack Detection (PAD) methods has become critical, yet generalizing to unseen Presentation Attack Instruments (PAIs) remains a major challenge. This is further complicated by the fact that most public PAD datasets are closed and limited in attack diversity and acquisition conditions. Standard evaluation protocols are typically based on intra- and inter-dataset setups, which may not reflect real-world variability. To address this, we propose analyzing presentation attacks using a novel metric, the Presentation Attack Similarity Index, which quantifies the similarity between different attacks. Based on this, we identify Presentation Attack Similarity Clusters, grouping attacks with high interchangeability. This approach offers deeper insight into PAI relationships, allowing for the strategic selection of representative attacks and the design of more balanced training datasets. Full article

In the present era where digitalization, FinTech, and blockchain technologies are reshaping the global financial landscape, traditional measures of bank performance need to evolve. This paper introduces a hybrid approach that combines multi-criteria efficiency assessment and econometric modeling to evaluate bank performance within the context of digital transformation in emerging economies. Focusing on a panel of banks across selected emerging markets, this study first applies a multi-criteria decision-making technique (Data Envelopment Analysis) to assess operational efficiency using both conventional indicators and digitalization-driven metrics, such as mobile banking penetration and blockchain adoption. We then employ a panel econometric model to investigate the factors that shape efficiency outcomes, with special attention to FinTech and blockchain innovations as potential drivers. The results reveal a nuanced picture of how digital technologies can influence bank performance, highlighting both opportunities and constraints for financial institutions in less developed markets. The findings offer actionable insights for bank managers, regulators, and policymakers striving to balance traditional operational priorities with the demands of digital transformation. By linking efficiency measurement with an examination of the digitalization process, this paper provides a timely contribution to the literature on banking and financial innovation, serving as a foundation for future research and strategic decision-making in the FinTech and blockchain era. Full article

The introduction of mobile banking is essential in today’s financial sector, where technological innovation plays a critical role. To remain competitive in the current market, businesses must analyze client attitudes and perspectives, as these influence long-term demand and overall profitability. While previous studies have explored general adoption behaviors, limited research has examined how individual factors such as social influence, lifestyle compatibility, financial technology self-efficacy, and perceived usage cost affect mobile banking adoption among specific generational cohorts. This study addresses that gap by offering insights into these variables, contributing to the growing literature on mobile banking adoption, and presenting actionable recommendations for financial institutions targeting younger market segments. Using a structured questionnaire survey, data were collected from both users and non-users of mobile banking among the Gen Z population in the United States. The regression model significantly predicts mobile banking adoption, with an intercept of $-0.548$ ($p < 0.001$). Among the independent variables, perceived cost of usage has the strongest positive effect on adoption ($B=0.857$, $\beta =0.722$, $p < 0.001$), suggesting that adoption increases when mobile banking is perceived as more affordable. Social influence also has a significant positive impact ($B=0.642$, $\beta =0.643$, $p < 0.001$), indicating that peer influence is a central driver of adoption decisions. However, self-efficacy shows a significant negative relationship ($B=-0.343$, $\beta =-0.339$, $p < 0.001$), and lifestyle compatibility was found to be statistically insignificant ($p=0.615$). These findings suggest that reducing perceived costs, through lower fees, data bundling, or clearer communication about affordability, can directly enhance adoption among Gen Z consumers. Furthermore, leveraging peer influence via referral rewards, Partnerships with influencers, and in-app social features can increase user adoption. Since digital self-efficacy presents a barrier for some, banks should prioritize simplifying user interfaces and offering guided assistance, such as tutorials or chat-based support. Future research may employ longitudinal designs or analyze real-life transaction data for a more objective understanding of behavior. Additional variables like trust, perceived risk, and regulatory policies, not included in this study, should be integrated into future models to offer a more comprehensive analysis. Full article