Search Results (89)

The rapid growth of mobile financial services provides significant opportunities for enhancing digital financial inclusion among older adults. However, elderly consumers often lag in adoption and sustained usage due to psychological barriers (e.g., technology anxiety) and factors related to prior experience and comfort with technology (e.g., technology familiarity). This study investigates how technology anxiety and technology familiarity influence elderly consumers’ continuance intention toward mobile banking, while examining age as a moderator by comparing younger older adults (aged 60–69) and older adults (aged 70+). Using data from an online survey of 488 elderly mobile banking users in South Korea, we conducted hierarchical regression analyses. The results show that technology anxiety negatively affects continuance intention, whereas technology familiarity positively enhances sustained usage. Moreover, age significantly moderated these relationships: adults aged 70+ were notably more sensitive to both technology anxiety and familiarity, highlighting distinct age-related psychological differences. These findings underscore the importance of targeted digital literacy initiatives, age-friendly fintech interfaces, and personalized support strategies. This study contributes to the fintech literature by integrating psychological dimensions into traditional technology adoption frameworks and emphasizing age-specific differences. Practically, fintech providers and policymakers should adopt tailored strategies to effectively address elderly consumers’ unique psychological needs, promoting sustained adoption and narrowing the digital divide in financial technology engagement. Full article

The development of stock markets is pivotal for economic growth, particularly through the mobilization of idle resources into productive investments. Despite recent reforms to enhance Uzbekistan’s capital market, public engagement remains limited. This study examines the behavioral determinants of stock market investment intention and participation among university students, employing the Theory of Planned Behavior (TPB) and Partial Least Squares Structural Equation Modeling (PLS-SEM). The model investigates the influence of digital literacy, financial literacy, social interaction, herding behavior, overconfidence bias, risk tolerance, and financial well-being on investment intention and behavior. A survey of 369 university students was conducted to assess the proposed relationships. The results reveal that risk tolerance, overconfidence bias, and herding behavior significantly and positively affect investment intention, while digital literacy demonstrates a notable negative effect, suggesting caution in assuming technology readiness automatically translates to investment readiness. Investment intention, in turn, strongly predicts actual participation and mediates several of these effects. Conversely, financial literacy, financial well-being, and social interaction showed no significant direct or mediating influence. Additionally, differences according to gender and academic background were observed in how intention translates into behavior. The findings underscore the need for integrated financial and behavioral education to enhance market participation and contribute to policy discourse on youth financial engagement in emerging economies. Full article

Background/Objectives: Artificial intelligence (AI) offers opportunities to enhance healthcare accessibility for people with disabilities (PwDs). However, their application in Saudi Arabia remains limited. This study explores PwDs’ experiences with AI technologies within the Kingdom’s Vision 2030 digital health framework to inform inclusive healthcare innovation strategies. Methods: Semi-structured interviews were conducted with nine PwDs across Riyadh, Al-Jouf, and the Northern Border region between January and February 2025. Participants used various AI-enabled technologies, including smart home assistants, mobile health applications, communication aids, and automated scheduling systems. Thematic analysis following Braun and Clarke’s six-phase framework was employed to identify key themes and patterns. Results: Four major themes emerged: (1) accessibility and usability challenges, including voice recognition difficulties and interface barriers; (2) personalization and autonomy through AI-assisted daily living tasks and medication management; (3) technological barriers such as connectivity issues and maintenance gaps; and (4) psychological acceptance influenced by family support and cultural integration. Participants noted infrastructure gaps in rural areas, financial constraints, limited disability-specific design, and digital literacy barriers while expressing optimism regarding AI’s potential to enhance independence and health outcomes. Conclusions: Realizing the benefits of AI for disability healthcare in Saudi Arabia requires culturally adapted designs, improved infrastructure investment in rural regions, inclusive policymaking, and targeted digital literacy programs. These findings support inclusive healthcare innovation aligned with Saudi Vision 2030 goals and provide evidence-based recommendations for implementing AI healthcare technologies for PwDs in similar cultural contexts. Full article

Blockchain technology is being increasingly deployed to store and process transactions and information in the global financial sector. Blockchain underpins cryptocurrencies such as Bitcoin and facilitates decentralized finance (DeFi), representing a paradigm shift in the global financial landscape, offering alternative solutions to traditional banking, and fostering financial inclusion. In developing economies such as Morocco, where a significant portion of the population remains unbanked, these digital financial innovations present both opportunities and challenges. This study examines the potential role of cryptocurrencies and DeFi in enhancing financial inclusion in Morocco, where cryptocurrencies have been banned since 2017. However, the public continues to use cryptocurrencies, circumventing restrictions, and the Moroccan Central Bank is now preparing to introduce new regulations to legalize their use within the country. In this context, this article analyses the potential of cryptocurrencies to mitigate barriers such as high transaction costs, restricted access to financial services in rural areas, and limited financial literacy in the country. The study pursues a mixed-methods approach, which combines a quantitative survey with qualitative expert interviews and adapts the Unified Theory of Acceptance and Use of Technology (UTAUT) model to the Moroccan context. The findings reveal that while cryptocurrencies offer cost-efficient financial transactions and improved accessibility, their adoption may be constrained by regulatory uncertainty, security risks, and technological limitations. The novelty of the article thus lies in its focus on the key mechanisms that influence the adoption of cryptocurrencies and their potential impact in a specific national context. In so doing, the study highlights the need for a structured regulatory framework, investment in digital infrastructure, and targeted financial literacy initiatives to optimize the potential role of cryptocurrencies in progressing financial inclusion in Morocco. This underscores the need for integrated models and guidelines for policymakers, financial institutions, and technology providers to ensure the responsible introduction of cryptocurrencies in developing world environments. Full article

This study aims to analyze the determinants of bank profitability in Angola by employing panel data econometric models, specifically, the Generalized Method of Moments (GMM), to assess the impact of internal and external factors on the financial indicators ROE, ROA, and NIM for the period 2016 to 2023. The results reveal that credit risk, operational efficiency, and liquidity are critical determinants of banking performance. Effective credit risk management and cost optimization are essential for the sector’s stability. Banking concentration presents mixed effects, enhancing net interest income while potentially undermining efficiency. Economic growth supports profitability, whereas inflation exerts a negative influence. The COVID-19 pandemic worsened asset quality, increased credit risk, and led to a rise in non-performing loans and provisions. Reforms implemented by the National Bank of Angola have contributed to strengthening the banking system’s resilience through restructuring and regulatory improvements. The rise of digitalization and fintech presents opportunities to enhance financial inclusion and efficiency, although their success relies on advancing financial literacy. This study contributes to the literature by providing updated empirical evidence on the factors influencing bank profitability within an emerging economy’s distinctive institutional and economic context. Full article

The COVID-19 pandemic has amplified concerns about healthcare access, particularly among vulnerable populations. This study extends Andersen’s behavioral model to investigate how fear of high-risk locations, alongside predisposing, enabling, and need factors, shapes healthcare-seeking behavior in Penang, Malaysia. A survey of 211 individuals (58% response rate) was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results reveal that need factors—specifically self-rated health and chronic illness—strongly predict healthcare utilization. However, this relationship is moderated by fear of infection, leading some high-risk individuals to forgo care despite medical necessity. Enabling factors, including financial resources and access to public healthcare, showed limited influence, likely due to Malaysia’s universal healthcare system and growing use of telemedicine. Older adults maintained healthcare utilization among predisposing variables, while higher-educated individuals were more cautious, possibly due to heightened health literacy and trust in digital alternatives. Although fear influenced care-seeking behavior for minor ailments, it did not significantly deter individuals from accessing services for severe conditions. These findings underscore the nuanced interaction between psychosocial factors and institutional context in shaping healthcare decisions during health crises. Full article

The increasingly observable financial vulnerability of households in emerging market countries makes it imperative to investigate the factors influencing it. Considering that China stands as a representative of emerging market economies, analyzing the factors influencing household financial vulnerability in China presents great reference significance for the sustainable development of households in emerging market countries. Using data from the China Household Finance Survey (CHFS) household samples, this paper presents the regional distribution of households with financial vulnerability in China. Utilizing machine learning (ML), this research examines the factors that influence household financial vulnerability in China and determines the most significant ones. The results reveal that households with financial vulnerability in China takes up a proportion of more than 63%, and household financial vulnerability is lower in economically developed coastal regions than in medium and small-sized cities in the central and western parts of China. The analysis results of the SHAP method show that the debt leverage ratio of a household is the most significant feature variable in predicting financial vulnerability. The ALE plots demonstrate that, in a household, the debt leverage ratio, the age of household head, health condition, economic development and literacy level are significantly nonlinearly related to financial vulnerability. Heterogeneity analysis reveals that, except for household debt leverage and insurance participation, the key characteristic variables exerting the most pronounced effect on financial fragility differ between urban and rural households: household head age for urban families and physical health status for rural families. Furthermore, digital financial inclusion and social security exert distinct impacts on financial vulnerability, showing significantly stronger effects in high per capita GDP regions and low per capita GDP regions, respectively. These findings offer valuable insights for policymakers in emerging economies to formulate targeted financial risk mitigation strategies—such as developing household debt relief and prevention mechanisms and strengthening rural health security systems—and optimize policies for household financial health. Full article

Climate risk has emerged as a pressing global challenge, significantly undermining livelihood capital, income stability, and living standards among vulnerable populations. Leveraging balanced panel data from the China Household Finance Survey (CHFS) spanning 2013–2019, this study employs a binary Logit fixed-effects model to examine how climate change risk affects farm households’ multidimensional relative poverty, with particular attention to the moderating role of digital financial inclusion. The findings demonstrate that climate change risk significantly exacerbates multidimensional relative poverty among farm households, while digital inclusive finance effectively mitigates these adverse impacts. Notably, subdimensional analysis reveals that the depth of digital financial usage exerts the strongest influence. In addition, there is heterogeneity in this moderating effect, with digital inclusive finance having a more significant mitigating effect on multidimensional relative poverty in rural households in the central region, with middle and higher incomes, as well as with high digital literacy. This study provides valuable insights into the use of financial instruments to mitigate climate risks, improve the climate resilience of rural populations, and strengthen multidimensional approaches to poverty governance. Full article

This paper offers a systematic literature review of age-related disparities in the adoption of digital payment systems, a phenomenon that is becoming increasingly relevant as financial transactions become predominantly digital. Using the SPAR-4-SLR protocol, 66 scholarly contributions published between 2014 and 2024 are examined and categorised into four thematic clusters: demographic determinants, behavioural drivers, structural barriers linked to the grey digital divide, and emerging insights from neurofinance. The review highlights a multifactorial set of barriers that limit older adults’ engagement with digital payments, including usability challenges, cognitive and physical limitations, digital skill gaps, and perceived security risks. These obstacles are further amplified by structural inequalities such as socio-economic status, geographic location, and infrastructural constraints. While digital payments are often presented as tools of inclusion, the findings underscore the risk of exclusion for ageing populations without tailored design and policy interventions. The review also identifies areas for further research, particularly at the intersection of ageing, cognitive function, and human–technology interaction, proposing a research agenda that supports more inclusive and age-responsive financial innovation. Full article

Digital franchising is increasingly recognized as a technological advancement and a specialized subset of e-commerce, yet its unique entrepreneurial dynamics remain insufficiently explored in the existing literature. Previous studies have primarily focused on platform usability or general e-commerce adoption, often overlooking the motivational, contextual, and capability-based factors that influence individuals’ willingness to engage in digital franchising as either entrepreneurs or consumers. To address this research gap, the present study applies the Motivation-Opportunity-Ability (MOA) framework to examine how personal motivations (e.g., self-expression, financial rewards), perceived platform opportunities (e.g., support, attractiveness), and individual capabilities (e.g., digital literacy, self-efficacy) shape entrepreneurial intention and, in turn, influence consumption adoption intention in digital franchising environments. An online survey was conducted using a non-probability purposive sampling method. The final sample consisted of 491 respondents from Taiwan, all of whom were either entrepreneurs operating digital franchises in the fashion industry or consumers who had purchased fashion products through digital franchising platforms, thereby ensuring contextual relevance to the study’s focus. Data were analyzed using structural equation modeling (SEM). The results indicate that expected external rewards (β = 0.456, p < 0.001) and platform support (β = 0.315, p < 0.001) are the most influential factors in shaping entrepreneurial intention. Furthermore, entrepreneurial intention significantly mediates the relationship between MOA antecedents and consumption adoption intention (β = 0.176, p < 0.001), highlighting its role as a key behavioral mechanism. These findings extend the MOA framework to a new empirical setting and offer practical implications for platform developers, franchisors, and policymakers seeking to promote participation in digital franchising. Future research is encouraged to explore cross-industry comparisons, generational differences, and longitudinal approaches to further enrich the understanding of digital franchising adoption dynamics. Full article

Financial technology (FinTech) has significantly changed access to financial services, particularly benefiting historically marginalized communities. While it offers many advantages, FinTech also brings substantial risks associated with this digital transformation. Recent studies highlight the significant impact of FinTech on financial inclusion, especially for marginalized populations. To investigate the benefits and drawbacks of FinTech and identify specific risks affecting users, particularly vulnerable groups, we employed the PRISMA method. A systematic literature review was conducted using the Web of Science database to explore recent research on FinTech and its relationship with financial inclusion, focusing on associated risks. The search covered 2010–2025; however, after applying inclusion criteria, the final dataset comprised publications from 2012 to 2025. Unlike previous bibliometric studies broadly addressing FinTech innovations, this review identifies and categorizes key risks affecting financial inclusion, emphasizing regulatory barriers, digital literacy, and socio-cultural challenges. The review is limited by the exclusive use of Web of Science and the English language, suggesting future research avenues using additional databases and multilingual sources. Findings reveal a notable increase in research activity surrounding FinTech and financial inclusion. This highlights challenges such as data privacy, regulation, and financial literacy. By mapping FinTech-related risks, this study aims to inform policymakers and stakeholders about effective strategies to mitigate these challenges and promote safe, inclusive financial ecosystems. Full article

Digital inclusive finance (DIF) is regarded as a key instrument in poverty alleviation efforts. However, existing research reveals significant gaps in understanding its poverty-reduction impact: the debate on its inclusivity remains unresolved, its mechanisms of action are unclear, and the psychological empowerment dimension has been largely overlooked. Using micro-level data from seven waves of the China Family Panel Studies (CFPS) from 2010 to 2022, this study employs fixed-effect models, quantile regression models, and mechanism analysis to explore the differentiated impact of digital inclusive finance on rural multidimensional relative poverty and the mechanisms at play. The empirical findings reveal that DIF significantly mitigates multidimensional relative poverty, with more pronounced marginal effects among the poorest households, confirming its pro-poor characteristics. Heterogeneity analysis reveals that, at the regional level, DIF has greater impacts in western regions and remote rural areas farther from county centers; at the individual level, it is particularly effective for women, those with lower education, and individuals with limited digital literacy. Mechanism analysis shows that DIF operates through three channels: promoting employment, encouraging entrepreneurship, and enhancing financial accessibility. Moreover, extended analysis demonstrates that DIF also fosters the endogenous motivation of rural households to escape poverty, as reflected in heightened confidence about the future, increased belief in social mobility and returns of work, and reduced perceived barriers to employment. These findings provide new micro-level evidence to unpack the poverty-alleviation potential of DIF. Full article

Healthcare professionals require comparable knowledge and abilities in hospital financial administration. In addition, many physicians are not equipped to manage the leadership roles that healthcare systems require, namely the capacity to express a vision, convey it to others, garner willing support for it, and enable others to be leaders in return. Previous studies have demonstrated that physicians often lack financial literacy, while a recent systematic review and meta-analysis showed that healthcare professionals lack adequate financial literacy, although top healthcare practitioners and executive nurse leaders are encouraged to develop knowledge and abilities outside of their clinical specialty. The need for medical practitioners to receive training and experience in medical leadership has also been discussed in earlier studies. In Greece, evidence regarding the financial literacy levels and leadership skills among healthcare professionals is lacking, although physicians and nurses are required to obtain managerial and administrative roles as they progress in their positions. Our objective was to assess healthcare professionals’ levels of financial literacy and investigate the relationship between financial literacy and leadership skills in Greece. We conducted a prospective, multi-centered, question-based survey among healthcare professionals in several institutions in Northern Greece. Participants were asked to fill out basic demographic questions, the OECD/INFE Toolkit for Measuring Financial Literacy and Financial Inclusion 2022, and the Leadership Skills questionnaire, translated into Greek. The factorability of the questionnaires was examined with factor analysis, while the internal consistency was examined with Cronbach’s alpha. A linear correlation of leadership scores with financial literacy scores was performed with the Spearman rho, and multivariate regression analysis examined the correlation of the leadership score with financial literacy scores, adjusted for the type of task, education, status, gender, and age. The overall financial literacy score for all healthcare professionals was 69.14 ± 13.25%, which was higher compared to the average for the Greek population. Male healthcare professionals with administrative tasks had significantly higher overall financial literacy and digital financial literacy scores than females, or professionals without administrative tasks, as well as higher scores in all areas of leadership. Physicians had significantly higher overall financial literacy scores than nurses and significantly lower digital financial behavior and digital finance trend scores. Still, physicians scored significantly lower than nurses in all areas of leadership skills. There was a strong correlation between overall financial and digital financial literacy scores with leadership skills scores. Future research is warranted to explore how formal financial and leadership education included in the training programs of healthcare professionals would empower physicians by enabling them to make proactive decisions regarding their financial and managerial destiny. Full article

This study aims to identify and analyze the adoption of digital agriculture in Latin America, focusing on Brazil, by examining barriers and drivers across diverse biomes. It identifies key factors influencing technology integration using a mixed-methods approach, including a literature review and empirical data from selected Brazilian municipalities. The central barriers include limited digital literacy, financial constraints, labor shortages, service provider accessibility, and infrastructure inadequacies. Drivers encompass productivity gains, cost reduction, improved management, infrastructure availability, and producer education. This research highlights the need for strategic policy interventions to address these barriers, enhancing digital literacy, infrastructure, and connectivity. Overcoming these challenges is crucial for realizing the transformative potential of digital agriculture and promoting productivity, sustainability, and economic development in the region. Full article

Digital financial literacy, as an upgrade of financial literacy in the digital age, has a non-negligible impact on the income of farm households and the sustainable development of the rural economy. This study aims to investigate the impact of digital financial literacy on rural household income in China and its mechanism of action. Using the sample of rural households in the 2019 China Household Finance Survey (CHFS), which ultimately collected information on 34,643 households and 107,008 household members, the principal component analysis method was used to analyze scores to measure the digital financial literacy level of rural households at three levels—financial knowledge, financial skill application, and digital skills and digital product use—and to perform mechanism analysis and heterogeneity analysis with inclusive finance data from the Digital Finance Research Center of Peking University. The research ideas in this paper are as follows: firstly, to clarify the metric index system of digital financial literacy and calculate to obtain the digital financial literacy score of farmers; secondly, to analyze the direct relationship between digital financial literacy and farmers’ household income; thirdly, to explore the intermediary role of social capital in the process of digital financial literacy affecting farmers’ income; and lastly, to examine the moderating effect of the level of regional financial development. The findings of this study show that digital financial literacy has a significant income-increasing effect on rural residents; mechanism analysis reveals that digital financial literacy increases farmers’ income by increasing social capital, and the level of regional financial development mediates the impact of digital financial literacy on rural household income. From a macro perspective, this article explains the necessity of improving rural households’ digital financial literacy to deepen rural financial services as well as to promote sustainable rural economic development. From a micro perspective, improving rural households’ digital financial literacy and digital financial infrastructure will help optimize their household income levels and income structure. This study provides empirical evidence and decision-making references for increasing farmers’ income, broadening income channels, and improving farmers’ digital human capital to achieve “rural revitalization” in the new era. Full article