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The present study aimed to provide an understanding of the roles of community-based financial service organizations (i.e. rotating savings and credit associations [ROSCAs] as institutional pillars in facilitating low-income, unbanked consumers’ access to informal financial services).

Semi-structured interviews were conducted with 39 low-income, unbanked consumers participating in ROSCAs in Pakistan, where only 21% of adults have a bank account and almost four out of five individuals live on a low income. The obtained data were analyzed using the thematic analysis technique.

ROSCAs’ regulatory, sociocultural and cognitive aspects facilitate low-income, unbanked consumers’ utilization of informal financial services owing to their approachability by, suitability for, and fairness to such consumers. Thus, they promote such consumers’ financial inclusion.

Low-income consumers are mostly unable to access formal financial services due to the existing supply- and demand-side impediments. Understanding ROSCAs’ institutional functioning can help formal financial service providers create more transformative financial services based on the positive institutional aspects of ROSCAs to enhance poor consumers’ financial inclusion and well-being.

The inclusion of low-income, unbanked consumers in formal banking services will help them better control their finances.

Many low-income, unbanked consumers in developing countries utilize informal financial services to meet their basic financial needs, but service researchers have rarely investigated how informal financial institutions function. The present study showed that ROSCAs, as informal institutions, meet low-income, unbanked consumers’ personal, social and financial needs in a befitting manner, which encourages such consumers to use the financial services offered by ROSCAs.

This study aims to investigate access to mobile money services and its relationship to financial planning for adults with mobile phones across different countries in different income groups.

Using new survey data from the Global Findex Database over the 2021–2022 time period, this study applies traditional cross-sectional regressions in investigating the relationship between access to mobile money accounts and the proportion of adults that save and borrow across different countries in different income groups.

This study provides findings on population dynamics, the percentage of adults who own mobile phones, the percentage of adults that own mobile money accounts, and the percentage of adults who save and borrow through mobile money accounts across different countries in different income groups. Results of the cross-sectional regressions indicate a positive relationship between saving and borrowing in relation to access to mobile money accounts across different countries in different income groups. The empirical results are robust after controlling for financial literacy, and moreover, suggest a relatively stronger effect for saving relative to borrowing.

This study proposes a novel approach toward examining the relationship between access to mobile money accounts and the proportion of adults that save and borrow. This study quantifies the aggregate impact of mobile money access on saving and borrowing based on a new cross-sectional data set for different countries in different income groups.

This chapter examines mobile payments and digital banking services. The past decade has seen a rapid increase in the use of alternative payment systems, away from cash to electronic payments. The digitalization of payments includes business-to-business (B2B), customer-to-business (C2B), and government-to-business and consumers (G2B/C), whether the payments are by computer, wire transfers, and point of sale (POS) systems. POS systems have become a standard in many retail outlets. Mobile payments use a smart device for contactless pay. Consumers see the increasing prevalence of payment systems when they go to the retail checkout or service counter. Worldwide, mobile payments are approaching 50% of digital. Digitalized payment systems are becoming more secure, decreasing concerns over mistaken payments, fraud, and errors. Consumers' confidence in value and usage decreases with age. Most fraud is due to scams and not hacking. Greater access to improved infrastructure and affordable smart devices will expand the usage of digitalized payment systems worldwide.

The purpose of the study is to find out the impact of Digital Financial Inclusion (DFI) on economic growth [(Industrial Production Index (INDP)] of Bangladesh.

Using the monthly data over the period 2018 M12 to 2021 M12, this study applied the Auto-regressive Distributed Lag (ARDL) model to assess the effect of DFI indicators on INDP. The secondary data was collected from the Bangladesh Bank and CEIC Global Economic Data.

The study found that the majority of DFI indicators are positively associated with INDP. From the short-run ARDL, it is seen that one unit positive increase in Point of Sales Transactions (POST) can increase the INDP by 0.055 units. From the long-run ARDL, it is seen that POST and e-commerce transactions (ECOMT) have a significant positive impact, while Automated Teller Machine Transactions (ATMT) have a significant negative effect on INDP. One unit increase in POST and ECOMT increases INDP by 0.13544 and 0.11611 units, respectively.

During the era of the fourth industrial revolution, the findings will be beneficial for policymakers, financial technology service providers, manufacturers, consumers, corporations and investors as they pave the way for a more inclusive approach to financial transactions for economic growth.

The study’s novelty is that it explored the influential DFI indicators and shed light on both short-run and long-run relationships between the indicators and macro-economy from the context of a developing nation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0306

Islamic financial technology (fintech), primarily peer-to-peer (P2P) lending, plays a substantial role in funding the unbanked population and small and medium enterprises (SMEs) by offering streamlined financial services through online digital technology. In addition, Islamic fintech lending offers a promising return rate for individual and institutional investors, and therefore, it is considered a worthy investment alternative for diversification. This study aims to examine the determinants of project returns of SMEs on Islamic fintech lending platforms, taking the case study of one Islamic fintech lending platform registered at the Financial Service Authority in Indonesia.

Project return information and other information, such as the name of the SME raising fund, project duration, location, contract (aqad) and value (amount of money) to be raised, were extracted from the Islamic fintech lending platform. Furthermore, a regression analysis was performed using the completed projects as sample data (n = 122) on the platform.

The results show that the rate of return is significantly affected by project duration and type of Sharia-compliant contract. Location and project value are, however, found to be statistically insignificant. This study’s overall results align with the Signaling theory, indicating the importance of information for decision-making.

Due to limited access to the data, our study uses data from one of seven Islamic fintech lending platforms; thus, the study results may not be generalized to the general population.

The results suggest that investors aspiring to invest their funds in SME projects on Islamic fintech lending platforms should consider the project duration and contractual agreement since these factors significantly influence the return. Additionally, society may consider the Islamic fintech lending platform a viable investment instrument since its return rate follows the risk-return principle in classical and established finance theories. That is why Islamic fintech lending platforms are competitive compared to the more established ones, such as the Islamic stock market.

To the best of the authors’ knowledge, this study is the first study using an empirical approach to reveal the project return determinants of SMEs on Islamic fintech lending platform.

In this article, the research objective is to empirically investigate the effect of the adoption of the Brazilian instant payment system, Pix, on the local credit market structure and the diversification of the banking system in Brazilian municipalities.

By analyzing the data, in this study, we compile and align data from supervisory and public sources, covering the period from 2019 to 2022 in Brazil. As of 2014, Brazil was comprised of 5568 municipalities distributed across five regions: North (450 municipalities), Northeast (1792), Midwest (467), Southeast (1668) and South (1191), according to the Brazilian Institute of Geography and Statistics (IBGE). Our analysis relies on the volume and quantity of Pix to the outstanding credit operations in Brazil.

This article provides evidence that the widespread adoption of Pix has impacted the financial structure of municipalities. This analysis of banking concentration in the country and municipalities, based on banking relationships, helped us assess whether the adoption of Pix had any correlation with the increase in credit lines. Overall, the results from the statistical tables suggest that the adoption of Pix may be having a positive impact on the local credit market structure.

The originality contribution of the study is to initiate an investigation into the impact of this instant payment system, Pix, on the Brazilian reality. Pix was launched in 2020, amid the COVID-19 pandemic, and had significant numbers, such as over 61% of the adult population having at least one Pix key registered in a little over a year; about 100 million people made at least one payment with Pix; and more than 1.4 billion transactions per month, with 72% between individuals, as presented by the REB 2021.

This chapter examines three common fintech use cases transforming the financial industry. First, the chapter introduces fintech's role in enhancing financial services and promoting financial inclusion, especially through digital platforms. Second, it investigates various fintech applications that support financial institution management by harnessing the power of artificial intelligence (AI) and machine learning (ML). Finally, the chapter explores fintech use cases related to the regulatory environment, including regulatory technology (regtech), blockchain technology, and cryptocurrencies. The insights presented in this chapter cater to researchers and practitioners keen on better understanding fintech's diverse applications in the ever-evolving financial industry landscape.

The ongoing evolution of the Internet and the subsequent digitalisation of financial services, along with the ever-increasing innovation of financial products, have rendered consumers more vulnerable to a wider range of fraud in the banking sector and, particularly, to consumer financial fraud (CFF). This paper aims to analyse the factors that may contribute to CFF exposure and victimisation among Spaniards, with a special focus on financial literacy.

This paper provides a comprehensive overview of leading publications on the topic, followed by empirical analyses using regression models with a sample of 6,207 Spanish individuals drawn from the Survey of Financial Competences.

Objective and subjective financial knowledge are positively correlated with CFF exposure via email but do not protect against CFF victimisation. Similarly, financial knowledge overconfidence is positively related to the former but fails to constitute a driver of the latter. Financial inclusion, measured by the number of financial products held, not only increases the risk of this exposure but also contributes to its subsequent victimisation.

To the best of the authors' knowledge, no previous paper has analysed the relationship between CFF and financial literacy by differentiating two types of vulnerabilities to fraud (exposure and victimisation) while considering different constructs of financial literacy. Dissecting these two domains may explain why the same financial literacy construct can have different effects at both stages of financial fraud and, furthermore, how different financial literacy constructs may affect the same stage of financial fraud.

This chapter reviews possible regulatory updates needed to address the four general challenges arising from digitalization of financial services, regardless of the business models of the financial services providers. These challenges are customers' data rights, artificial intelligence (AI) ethics, cybersecurity and financial exclusion.

This chapter reviews digital payment infrastructures at the retail, wholesale and cross-border levels, available operating and governance models and trade-offs. Various developments in the field of digital payments, key challenges and the role of the central banks in helping to address those challenges are introduced. This chapter starts by examining issues in retail payments, before moving on the wholesale and large-value payments, real-time gross settlement (RTGS) which is the core settlement of payment systems before examining cross-border payments. This chapter ends with an overview of the role of central banks in promoting digital payment infrastructures.