Search Results (238)

In the increasingly competitive mobile ecosystem, understanding user behavior is essential to improve targeted sales and the effectiveness of advertising. With the widespread adoption of smartphones and the increasing variety of mobile applications, predicting user behavior has become more complex. This study presents a comprehensive framework for predicting mobile payment behavior by integrating demographic, situational, and behavioral factors, focusing on patterns in mobile application usage. To address the complexity of the data, we use a combination of machine-learning models, including extreme gradient boosting, light gradient boosting machine, and CatBoost, along with Shapley additive explanations (SHAP) to improve interpretability. An analysis of extensive panel data from Korean Android users reveals that incorporating application usage behavior in such models considerably improves the accuracy of mobile payment predictions. The study identifies key predictors of payment behavior, indicated by high Shapley values, such as using social networking services (e.g., KakaoTalk and Instagram), media applications (e.g., YouTube), and financial and membership applications (e.g., Toss and OK Cashbag). Moreover, the results of the SHAP force analysis reveal the individual session-level drivers of mobile purchases. These findings advance the literature on mobile payment prediction and offer practical insights for improving targeted marketing strategies by identifying key behavioral drivers of mobile transactions. Full article

Purpose: Our study investigates the combined effects of financial technologies (fintech) and the digital economy on sustainable development, considering geopolitical risks as a moderating factor. Origin: While sustainable development is a global imperative, the integrated roles of digital transformation and fintech remain insufficiently explored. Our research addresses this gap by analyzing their impacts on socioeconomic advancement and environmental sustainability across diverse contexts. Methodology: Employing panel data from 30 developed and developing countries between 1990 and 2023, we assess sustainable development using the Environmental Performance Index (EPI) and the Human Development Index (HDI). Independent variables include proxies for the digital economy (e.g., internet usage, mobile subscriptions, and high-tech exports) and fintech (e.g., digital payments, digital currency, and peer-to-peer lending). The Geopolitical Risk Index (GPRI) is used to evaluate the effect of political instability. We apply generalized least squares (GLS) and fixed-effects estimation (within) to ensure robustness. Findings: Our results indicate that digital transformation and fintech significantly foster socioeconomic development and environmental performance, even amidst geopolitical instability. Key variables such as digital payments and internet access show substantial positive impacts, providing valuable insights for policymakers aiming to enhance resilience and sustainability. Contributions: Our article offers a comprehensive evaluation of how the digital economy and fintech jointly influence sustainable development under geopolitical risks, providing a nuanced understanding for policymakers and researchers. Full article

The adoption of electronic payments has increased globally, driving economic growth by enabling smoother transactions. Digital payments enhance speed, security, trust, and efficiency, prompting governments to implement policies that promote financial inclusion through new payment technologies. However, trust in the financial system is crucial for adoption, given concerns about security, fraud, and data breaches. In Latin America and the Caribbean, where economies are vulnerable to external financial shocks, and trust in financial institutions is low, digital payment adoption presents both financial and social challenges. This study analyzes the impact of financial trust on the likelihood of using digital payments in 17 countries, based on the 2023 Latinobarómetro survey (19,205 individuals). Using logit models, it examines financial trust’s influence across income levels. Results show that trust in financial institutions increases the likelihood of digital payment adoption by 62%, with a stronger effect among high-income individuals. Younger age, higher education, and mobile phone ownership also correlate positively with adoption. This study highlights the need to foster financial trust to boost digital payments, enhance financial inclusion, and reduce cash usage—key for tackling inequality and informality. A major limitation is the lack of longitudinal data for further analysis. Full article

Women in emerging economies face unique constraints rooted in cultural norms, socio-economic disparities, and limited access to education and technology. Narrowing the digital gender gap by ensuring access to financial services may reduce the economic inequalities for women in these countries. This study examines the influence of digital finance in narrowing the gender gap, guided by the research question: To what extent do digital financial services contribute to narrowing the gender gap in access to and usage of financial services in low-and middle-income economies? Gender inclusion was measured by the ratio of accounts owned by women over the total number of accounts. Digital financial inclusion was constructed based on eight components: mobile money account, storing money in financial institutions, Internet access, mobile phone owned, savings, savings in financial institutions, making or receiving a digital payment, and mobile phone or use of the Internet for shopping. A Bayesian regression approach was computed using the Global Findex Database data for 73 countries classified as low and lower-middle-income economies from 2011 to 2022. The Machine Learning approach evaluates the model’s ability to predict women’s autonomy and the role of digital finance. The results show that digital financial services would reduce the gender gap in low-income economies while augmenting the number of open accounts, especially for women. The results aid in the establishment of policies to reduce the gender gap. These results are relevant to the UNSDG agenda, mainly Goal 5 and Goal 10. Full article

This study investigates the factors that affect the adoption of mobile payment systems in Oman, focusing specifically on small and medium-sized enterprises (SMEs) within the expanding FinTech landscape. By utilizing secondary sources of data from the Central Bank of Oman and global FinTech reports, this research identifies essential enablers, such as security features and ease of use, which are propelled by developments in FinTech solutions. It also addresses the obstacles, such as high transaction fees and issues with authentication, that impede SMEs from embracing these technologies. Through an examination of worldwide FinTech adoption patterns, this research offers perspectives on Oman’s progress toward becoming a cashless society. This study employs sophisticated statistical techniques, including histograms and correlation analysis, to reveal significant trends in the rates of mobile payment adoption. The results emphasize the necessity for cooperative efforts among regulators, financial entities, and FinTech developers to minimize costs, strengthen digital infrastructure, and enhance user experiences. These findings are consistent with Oman’s Vision 2040, which aims to foster financial inclusion and propel the country’s shift toward a robust, digitally oriented economy powered by FinTech innovation. Full article

Considering the rapid increase in mobile payment usage, numerous big tech companies have added mobile payment to the primary services that their platforms offer. However, extant research predominantly treats this added service as a standalone offering and investigates user adoption and behavior for this service independent of the primary services. Recognizing this gap in the literature, this study considers the added service as part of an extended ecosystem and examines different motivations for using the primary service. Therefore, this study examines how different motivations for using social networking services (SNSs) shape trust in the extended payment service and ultimately influence behavioral intentions. Drawing on the schema congruity theory, we conceptualize trust as a multidimensional construct—distinguished between cognitive and emotional trust—and explore the impact of trust in the primary service on the use of an added service. Specifically, we analyze survey data of 478 users of South Korea’s leading SNS. The results reveal that both hedonic and utilitarian motivations positively influence emotional and cognitive trust, which, in turn, drive behavioral intention. However, hedonic (utilitarian) motivation exerts a stronger effect on emotional (cognitive) trust. Overall, the findings enhance the knowledge regarding trust formation in extended service ecosystems and offer insights for tech firms integrating financial services into their platforms. Full article

Mobile payment systems have rapidly expanded globally, especially in developing countries like Thailand, Malaysia, and Indonesia. Technological advances, public acceptance, and increased adoption during the COVID-19 pandemic drive this growth. Mobile payments involve key stakeholders: technology providers, end-users, government regulators, and merchants, each contributing to the adoption ecosystem. Users prefer mobile payments for their speed and convenience over traditional cash transactions. This study explores the driver and barrier factors influencing mobile payment QR adoption among merchants, particularly from the MSME perspective, using existing frameworks based on previous research adapted to MSME conditions. Conducted in Indonesia with 418 MSME business respondents, this study employs a quantitative, cross-sectional methodology with a 95% confidence level and an SEM analysis. The findings reveal that perceived ease of use does not significantly impact perceived experience, while perceived usefulness does. Perceived risk, convenience, experience, and word-of-mouth learning statistically significantly influence merchants’ intention to use mobile payments. However, customer engagement, cost, trust, and complexity appear less influential. Overall, this research advances understanding of the key factors affecting merchants’ adoption of mobile payment and provides insights relevant to MSME economic growth. Full article

Bike-sharing initiatives play a crucial role in sustainable urban transportation, addressing vehicular congestion, air quality issues, and sedentary lifestyles. However, the connection between bike-sharing facilities and the advantages perceived by users remains insufficiently explored particular in post-industrial regions, such as Silesia, Poland. This study develops a multidimensional framework linking infrastructure elements—such as station density, bicycle accessibility, maintenance standards, and technological integration—to perceived benefits. Using a mixed-methods approach, a survey conducted in key Silesian cities combines quantitative analysis (descriptive statistics, factor analysis, and regression modelling) with qualitative insights from user feedback. The results indicate that the most valuable benefits are health improvements (e.g., improved physical fitness and mobility) and environmental sustainability. However, infrastructural deficiencies—disjointed bike path systems, uneven station placements, and irregular maintenance—substantially hinder system efficiency and accessibility. Inadequate bike maintenance adversely affects efficiency, safety, and sustainability, highlighting the necessity for predictive upkeep and optimised services. This research underscores innovation as a crucial factor for enhancing systems, promoting seamless integration across multiple modes, diversification of fleets (including e-bikes and cargo bikes), and the use of sophisticated digital solutions like real-time tracking, contactless payment systems, and IoT-based monitoring. Furthermore, the transformation of post-industrial areas into cycling-supportive environments presents strategic opportunities for sustainable regional revitalisation. These findings extend beyond the context of Silesia, offering actionable insights for policymakers, urban mobility planners, and Smart City stakeholders worldwide, aiming to foster inclusive, efficient, and technology-enabled bike-sharing systems. Full article

The COVID-19 pandemic has precipitated several challenges, prompting the Indonesian government to enact rules aimed at minimizing direct contact to mitigate the spread of COVID-19, which has also affected transactional activities. Transactions conducted using a digital wallet represent a technological advancement that facilitates a cashless society lifestyle. Bank Indonesia established the Quick Response Code Indonesian Standard (QRIS) as a QR Code standard for digital payments using Electronic Money-Based (EU) servers, electronic wallets, or Mobile Banking. This study aims to identify the elements that affect consumer willingness to convert from cash payments to the QRIS during the COVID-19 epidemic. This study collected data through an online survey, distributing a 17-item questionnaire to QRIS users, yielding 568 valid responses. This research used a modified version of the Push-Pull-Mooring theory and an adaptation of the Unified Theory of Acceptance and Use of Technology (UTAUT2) model, concentrating on consumers’ intentions to transition from cash payments to QRIS utilization. This study employed the Hybrid SEM-ANN methodology with the SmartPLS and IBM SPSS Statistics 27 applications for data analysis. This investigation had 11 hypotheses, of which 4 were accepted. The findings indicated that alternative attractiveness, trust, critical mass, and traditional payment habits significantly influenced the intention to transition from cash payments to QRIS payments during the COVID-19 pandemic. Full article

This study employs the push–pull theory to analyze tourism motivations (push and pull), perceived risk (financial risk and perceived risk), perceived value, educational level and smartphone usage and their effect on willingness to pay (WTP) and electronic word-of-mouth (E-WOM) behavioural intentions in Smart Tourism Destinations (STDs). With a significant sample of 504 respondents in the STD of Cáceres, the push–pull theory is used to assess its impact on smartphone usage. Results reveal that motivations, financial risk, perceived value and educational level positively affect smartphone usage, directly influencing WTP and E-WOM. Managers are advised to prioritize privacy in mobile payments, implement security services against financial risks and promote specialized applications and encourage the personalization of offers through artificial intelligence. Understanding these variables, which explain 41.5% of WTP and 65.8% of E-WOM, provides a basis for strategic decision-making in STDs. Full article

Autonomous ride-hailing services, as an innovative solution in the shared mobility sector, have sparked intense competition with traditional ride-hailing platforms. This study examines a traditional large-scale ride-hailing platform and an autonomous ride-hailing platform, constructing profit models for both platforms under competitive and cooperative scenarios. The impact of these scenarios on the platforms’ optimal profits is analyzed using a game-theoretic framework. The study identifies passenger trust in the autonomous platform and the commission rate as critical factors influencing the strategic choices of the two platforms. Surprisingly, irrespective of variations in passenger valuation coefficients and commission rates, there is no scenario where both platforms simultaneously prefer cooperation, which contradicts intuitive expectations. Furthermore, the findings suggest that when passenger trust and valuation differences are relatively low, the autonomous platform can maximize profits by adopting a high-pricing strategy. However, as passenger trust and valuation differences increase, the autonomous platform must adjust its strategy, shifting toward cost optimization and price competition. The study also explores the role of transfer payments as an incentive mechanism for traditional platforms to encourage cooperation from autonomous platforms, providing a robust theoretical foundation for fostering collaboration between traditional and autonomous ride-hailing platforms. Full article

With the proliferation of mobile devices and payment systems in modern financial services, there is an increasing need to process and analyze continuous streams of transaction data for credit risk assessment. Leveraging the inherent symmetries in financial markets and data structures, this paper introduces DeepCreditRisk, a symmetry-aware deep learning framework that addresses key challenges while maintaining critical invariance properties in financial data representation. The framework incorporates three main components: an adaptive temporal fusion mechanism, a heterogeneous graph neural network, and an attention-based interpretable output layer. The temporal fusion mechanism effectively models both short-term fluctuations and long-term trends in financial time series, while the heterogeneous graph neural network captures intricate relationships within the financial ecosystem. The framework maintains important symmetrical properties in both temporal and structural representations, ensuring balanced feature learning and invariant risk assessment. The attention-based output layer preserves representation symmetry while enhancing model interpretability. Extensive experiments on a large-scale credit risk dataset demonstrate DeepCreditRisk’s superior performance, achieving a 7.2% improvement in the Area Under the Receiver Operating Characteristic Curve (AUC-ROC) and an 18.6% improvement in the Kolmogorov–Smirnov (KS) statistic over state-of-the-art baseline models. The framework maintains high predictive power across various time horizons and provides interpretable insights into feature importance. DeepCreditRisk represents a significant advancement in applying deep learning to credit risk assessment, offering financial institutions a more accurate, robust, and transparent approach for evaluating creditworthiness and managing risk. Full article

Mobility-as-a-service (MaaS) apps provide a single platform for journey planning, booking, payment and ticketing, and are proposed as a medium for encouraging sustainable travel behaviour. Generating sustainable-vehicle-based journey alternatives can be formulated as a multi-modal multi-objective journey-planning problem, one that is known to have a prohibitively large solution space. Building on prior insights, we develop a scalable decomposition-based solution strategy. A Pareto set of journey profiles is generated based on inter-transfer-zone objective criteria contributions. Then, guided by neural-network predictions, extended versions of existing shortest-path algorithms for open and public transport networks are used to optimise the paths and transfers of journey profiles. A novel hybrid k-means and Dijkstra’s algorithm is introduced for generating transfer-zone samples while accounting for transport network connectivity. The resulting modularised algorithm knits together and extends the most effective existing shortest-path algorithms using neural networks as a look-ahead mechanism. In experiments based on a large-scale transport network, query response times are shown to be suitable for real-time applications and are found to be independent of transfer-zone sample size, despite smaller transfer-zone samples, leading to higher quality and more diverse Pareto sets of journeys: a win-win scenario. Full article

Inadequate financial literacy and overconfidence in financial knowledge, coupled with the use of mobile payments (MPs), may contribute to harmful financial behaviors. While the relationship between financial knowledge confidence and financial behaviors is well documented, there is limited understanding of how financial confidence affects the use of alternative financial services (AFSs), such as payday loans, and how MPs moderate this relationship. This study examines the moderating effect of MPs on the association between financial knowledge confidence and the demand for AFS, utilizing data from U.S. adults surveyed in the 2018 National Financial Capability Study. The results show that individuals who use MPs are significantly more likely to engage with AFSs compared to non-users, with MPs increasing the likelihood of AFS usage by 92% (odds ratio: 1.92). Furthermore, overconfident individuals who use MPs are 94% more likely to rely on AFSs (odds ratio: 1.94). These findings highlight the need for targeted financial education and policymaking to mitigate the risks associated with financial overconfidence and MP usage. Full article

Climate change poses significant challenges to informal street vendors, particularly in urban settings where they operate in vulnerable environments. These challenges include economic instability, health risks, and sociopolitical exclusion, which are further exacerbated by extreme weather events and inadequate policy support. This review focuses on understanding these impacts by synthesizing lessons and exploring potential solutions from South Africa and other regions that could be implemented by governments and street vendors. A systematic review was conducted, following PRISMA guidelines, to synthesize findings from 48 studies published between 2015 and 2024. This review employed qualitative and quantitative analysis using thematic coding in ATLAS.ti and Microsoft Excel version 2024. Comparative analyses across regions and time periods were conducted to identify differences in impacts and adaptation strategies. Among the 48 studies, 52% were conducted in Africa and 50% in Asia, making these the most frequently represented regions in research on climate change and informal street vendors. Most of the publications were between 2021 and 2024 (52%). This review further highlights that climate change has led to significant economic losses, reduced working hours, and increased operational costs for informal vendors. Health impacts, such as respiratory illnesses and heat stress, are prevalent, particularly among vendors exposed to air pollution and extreme temperatures. Gender-specific vulnerabilities were noted, with women facing compounded challenges due to caregiving responsibilities and inadequate access to sanitation facilities. While Asian vendors have adopted technological solutions like mobile payment systems and cooling devices, these may not be currently feasible for South African vendors. Instead, tailored interventions that consider the local context and available resources are necessary to effectively support South African street vendors. Key recommendations include integrating vendors into urban resilience planning such as encouraging the use of cleaner and more sustainable transportation, improving access to healthcare, and providing financial support. Additionally, governments and communities should pilot the solutions identified in this review and publish their findings to inform future policies and practices. Full article