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This paper studies the effect of digital financial inclusion in banking on the poor and deprived populations of African emerging economies from 1997 to 2023.

Automated teller machines, mobile payments and mobile money transactions measure digital financial inclusion. Household consumption expenditure proxies poverty reduction. The autoregressive distributed lag analyzes the study.

The results indicate that automated teller machines, mobile money transactions and financial deepening positively affect poverty reduction, while mobile payments negatively affect poverty reduction. Digital financial inclusion decreases poverty via increased investment and empowerment.

Digital financial products and services should be expanded to all population segments in the economies. The governments should improve the quality and quantity of institutions that guarantee the operation of digital financial activities through the enforcement of law and order. The quality and quantity of mobile money transactions and financial deepening should be increased. The costs and charges involved in using automated teller machines and mobile payments should be regulated to relieve the burden on the population. The government should facilitate access to digital financial services via power supply, transport and telecommunication networks. Banks and telecommunications service providers should improve the payment system network to ensure cost-effective, convenient and secure financial service delivery. The digital infrastructure and financial services markets should be enhanced to fully capture the gains of financial inclusion and reduce poverty.

A literature review provides studies with conflicting findings on the effect of digital financial inclusion on poverty reduction. This study supports that digital financial inclusion decreases poverty.

The rapid growth of the mobile money industry has been matched by a rise in mobile money fraud. The technology required to apprehend perpetrators of such fraud is nonexistent in most developing countries. Hence, the need for individuals to be willing to pay for insurance against such frauds is crucial. This paper aims to examine individuals’ willingness to pay for insurance against mobile money fraud in Ghana.

The paper uses nationally representative data collected from 4,266 adults (persons 18 years and above) in Ghana. Individuals’ willingness to pay premiums for protection against mobile money fraud was elicited by a single-bound dichotomous choice and open-ended contingent valuation designs.

On average, 24.34% of Ghanaians are willing to pay premiums for insurance against mobile money frauds, with more men (26.37%) being willing than women (22.56%). Similarly, the average monthly premium that men are willing to pay for protection against mobile money fraud is GH¢32.16 (US$8.16), while that of women is GH¢22.5 (US$5.62). Furthermore, the results show that years of schooling, income, previous fraud experience, and using the accounts for saving are all positively associated with willingness to pay. However, using other networks apart from MTN has a negative association with willingness to pay.

To the best of our knowledge, this is the first study that examines willingness to pay for insurance against mobile money fraud. Thus, this is the first that estimate quantitatively how much mobile account holders will pay as premiums for insurance against mobile money fraud.

The purpose of this paper is to explore the various characteristics of mobile money transactions and the threats they present to anti-money laundering (AML) and counter terrorist financing regimes.

A thorough literature review was conducted on mobile money transactions and the associated money-laundering and terrorist financing threats. Four key themes were identified in relations to the three stages of money laundering and effective law enforcement.

The findings indicate that as money laundering and terrorist financing transactions continue to gravitate towards the weaknesses in the financial system, mobile money provides yet another avenue for criminals to exploit. Risk factors associated with anonymity, elusiveness, rapidity and lack of oversights were all integral considerations in building an effective AML regime. The use of cash is considered a higher threat than mobile money prior to implementation of systems and controls.

This rapidly changing environment of how individuals manage their money during transactions is set to further explode globally, which poses new problems for regulators and governments alike. Unless there is a unified concentration to heighten global awareness, the imposing threat of mobile money is set to increase at a rapid rate if appropriate actions are not taken.

The findings from this study can be used to gain greater insights on mobile money transactions and raise further awareness of the ever-increasing threat to global financial integrity.

The paper provides a holistic overview of already available academic literature of mobile banking, business model innovation and ecosystem and activity system perspective of business model concepts. The purpose of this conceptual paper is to initiate a debate for future research in the agenda highlighted in this paper.

In this paper, mobile banking business ecosystem of Easypaisa is used as an illustrative case to understand mobile banking business model innovation in the context of business ecosystem and activity system perspective.

Based on Porter’s view of mobile financial service (MFS) industry, it is suggested that patterns of business model innovation can be explained through business ecosystem and activity system. The notion of business model innovation can also be explained through integrated value chain of mobile network operator and its partners in the supply chain of MFS.

This paper provides preliminary overview of the exiting academic literature on business model innovations, business ecosystem and activity system in the in the context of value network. Since this is only a literature review paper, therefore, no primary data have been collected for this case study through interviewing from the relevant people.

So far, no research has been conducted in Pakistan to address business model innovation in mobile banking sector in the context of business ecosystem and activity system perspective.

This paper aims to measure the extent of digital financial inclusion (DFI) and examine the effect of socioeconomic characteristics on using government remittances and the adoption of digital financial services (DFS) during the COVID-19 pandemic.

The World Bank Global Financial Inclusion (Global Findex) database 2021 is used in this study, with a sample size of 3,000 Indian individuals. The study measured the demand-side analysis of DFI, namely, accessibility and usage of DFS with selected socioeconomic characteristics such as gender, age, income, education, being in the workforce and residential status of respondents. The dependent variable is binary in nature; therefore, the logistic regression model is used for the data analysis.

The results of the study reveal that individuals’ socioeconomic factors, such as female, all the age groups, tertiary education, third- and fourth-income quintile and workforce, are found to have a significant association with “accessibility,” an exogenous variable of DFS. Besides, respondents’ socioeconomic attributes, namely, female, tertiary education, income for all quintiles and workforce, are more likely to use DFSs in the COVID-19 pandemic. The study also finds the residential status of individuals is influencing the accessibility and usage of DFS.

The findings of the study provide valuable insights to the service providers and policymakers regarding the rapid expansion of DFS by digital infrastructure, simplifying the banking procedures and highlighting the importance of digital financial literacy to accomplish government goals through serving the unbanked population and also design strategies for achieving the objectives of Digital India: “Faceless, Paperless, and Cashless” of DFI across the country.

Notable studies used World Bank Findex survey data to explore the determinants of financial inclusion in general. This research is one among the few studies to explore the determinants of India’s DFI. Moreover, this study measured the effect of individual socioeconomic attributes on the adoption of DFSs during the COVID-19 pandemic, which has not been included in prior studies. Therefore, this study has added value to the existing literature on financial technology innovation and DFS for the sustainable development of emerging nations.

In the global migration crisis COVID 19 had devastating consequences. Workers were confined to their locations due to travel restrictions and working from home became “working away from home” for millions of migrant workers. Mobile financial services emerged as key to livelihood of the mobile remittance recipients. It is essential for service providers to gain insights of users' motives to use mobile remittance services.

This study proposed the model by extending unified theory of acceptance and use of technology (UTAUT) model and integrating by perceived cost (PC) and perceived security (PS). Based on the survey data (n = 344) the proposed model was tested using analysis of variance (ANOVA) analysis.

The findings reveal that performance expectancy, effort expectancy, PC and PS affect the users' behavioral intention (BI) to use mobile remittance applications. Social influence nonsignificantly affects the BI and there is no significant influence of facilitating conditions on user behavior.

The volume of migrant workers preCOVID 19 reached 3.5% of the global population, the shear number of unprotected workers plunged into devastation by the COVID-19 impact is huge to cause an economic meltdown. Under the pandemic crisis conditions, the findings provide several practical implications on how service providers could improve their products and services to increase mobile remittance applications usage.

The purpose of this study was to examine the macroeconomic impact of mobile money in Somalia using quarterly data from 2010 to 2020.

This study applied the structural vector autoregressive approach to examine the response of the macroeconomic variables to the mobile money shocks.

The results show that mobile money increases consumer spending by reducing transaction costs and enhancing access to finance, which promotes the expansion of aggregate output. This study also finds that mobile money helps exchange rate stability and price level maintenance, boosting trade openness. Moreover, mobile money is linked to the rise in real income due to productivity improvement and price stability. The results of this study indicated that mobile money has a short-run relationship with aggregate output, household consumption, price level, trade openness and real income. Through the Granger causality test, this study finds that mobile money has a unidirectional relationship with the exchange rate, price level, household consumption and trade openness.

The empirical findings of this study imply that mobile money can create a wide range of financial services to improve the financial system in rural and urban areas; hence, it enables poor and rural members of society to make payments and receive-and-transfer money using their mobiles.

This paper aims to examine customer experience value orchestrated by non-banks' financial touchpoints to understand how they enhance the financial inclusion of low-income consumers.

Two independent but related studies were conducted using qualitative comparative analyses (QCA) research design with semi-structured interviews to compare and contrast customer experience value at two rural locations in Southern Africa. The interview transcripts were analysed using ATLAS.ti, which is a powerful operating system for analysing qualitative data.

The results indicate that non-banks in the two countries design financial services that include functional, economic, humanic, social and mechanic customer experience value dimensions.

The data for this study was collected from financial services customers of retailers and mobile phone network operators in only one research setting in each country. Further research could extend the comparative context for qualitative studies across similar markets. Other limitations are discussed in the paper.

This paper contributes to the body of knowledge by highlighting the salient and germane dimensions and components found to be important in understanding financial inclusion using customer experience value. To the best of the authors’ knowledge, this is the first study that incorporates customer experience value dimensions in understanding the financial inclusion of low-income consumers at the base of the social and economic pyramid in emerging markets.

Mobile services are expanding rapidly, and in this tremendously dynamic environment, companies should provide value-added services to meet users’ demand. In this context, the study aims to determine whether different user groups exist in this market and profile them.

Based on the information of 568 mobile service users, a research was developed in the context of a mature mobile services market – Spain. A behavior-based cluster analysis is developed by means of confirmatory factor analysis (CFA), followed by two-step clustering. Then, an ANOVA and post hoc Tukey tests are conducted to confirm differences among the obtained clusters.

The study findings show that mobile service users cannot be perceived as a homogenous group, as different users with different behaviors coexist in this market. More specifically, four behavior-based segments emerge in the mobile service sector: “service connoisseurs,” “uninvolved pragmatics,” “potential switchers” and “delighted loyal”; “potential switchers” being the most challenging segment for mobile service companies.

This study reports mobile service users’ heterogeneity; and in turn, mobile service managers should consider customers as four different types, instead of considering them as one single customer.

Los servicios móviles se están expandiendo rápidamente y en este entorno tremendamente dinámico, las compañías de servicios móviles deberían de proporcionar servicios de valor añadido para satisfacer la demanda de sus usuarios. En este contexto, esta investigación tiene como objetivo determinar si existen diferentes grupo de usuarios en este mercado y aportar su pefil.

Sobre la base de información de 568 usuarios de servicios móviles se lleva a cabo una investigación en el contexto de un mercado de servicios móviles maduro –España-. Se lleva a cabo un análisis clúster basado en el comportamiento de los usuarios, mediante un análisis factorial confirmatorio (CFA), seguido de un análisis clúster bi-etápico. A continuación, se realizan un test Anova y un test pos hoc de Tuckey para confirmar las diferencias entre los grupos obtenidos.

Los resultados de la investigación muestran que los usuarios de servicios móviles no pueden ser percibidos como un grupo homogéneo, ya que en este mercado coexisten diferentes usuarios con diferentes comportamientos. Más específicamente, cuatro segmentos de usuarios surgen en el sector de los servicios móviles basados en su comportamiento: “conocedores del servicio”, “pragmáticos no involucrados”, “potenciales cambiadores de servicio” y “leales encantados”, siendo “potenciales cambiadores de servicio” los que presentan un mayor desafío las empresas de servicios móviles.

Este estudio muestra la heterogeneidad de los usuarios de servicios móviles, y por tanto, los gestores de los servicios móviles deben considerar a sus clientes como cuatro tipos diferentes, en lugar de considerarlos como un único tipo de cliente.

移动服务正在迅速扩张，在这个巨大的动态环境中，企业应该提供增值服务来满足用户的需求。在此背景下，本研究旨在确定该市场是否存在不同的用户群体，并对其进行分析。

基于568名移动服务用户的信息，在一个成熟的移动服务市场（西班牙）的背景下开展了本次研究。通过确认性因子分析（CFA）进行基于行为的聚类分析，然后进行两步聚类。最后，方差分析和事后Tukey检验被用于确认获得的聚类之间的差异。

研究结果表明，移动服务用户不能被看作是一个同质的群体，因为在这个市场上共存着不同的用户，他们具有不同的行为。具体来说，移动服务领域可以划分为基于用户行为的四个细分市场："服务行家"、"不参与的实用主义者"、"潜在的转换者 "和 "愉悦的忠诚者"；其中，"潜在的转换者 "是对移动服务企业来说最具挑战性的细分市场。

本研究报告了移动服务用户的异质性；反过来，移动服务管理者应该考虑把客户划分为四种不同的类型，而不是将他们视为一个单一的整体。