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This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.

The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.

Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.

The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.

This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.

Amid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance of touching physical money, people willingly choose mobile payment, resulting in enormous growth in FinTech payment service industries. Because of this, this study aims to examine the effect of factors affecting Gen X and Millennials users to use FinTech payment services.

The authors used 328 responses collected through convenience sampling of Indian users aged between 26 and 57 years in the Delhi-NCR region who are users of FinTech payment services.

The authors’ findings verified that in India, perceived COVID-19 risk, perceived severity for COVID, individual mobility, subjective norms, perceived ease of use and perceived usefulness have statistically significant impacts on FinTech payment services during the COVID-19 pandemic. Structural equation modelling was used to study the proposed research model. Overall, the model predicted 76.9 % of the variation in intention to use FinTech payment services by the abovesaid variables by Indian users during a pandemic.

This study will provide valuable insight to all FinTech service providers and stakeholders in planning and designing the concerned policy. It will be able to draw the attention of users more.

This research added a valuable theory to the existing technology adoption model (TAM) theory. It demonstrated the utility of the above variables in adopting and using FinTech payment services, which will help service providers to develop future strategies because of the COVID-19 pandemic.

Fintech is having a profound impact in Sub-Saharan Africa (SSA) because it offers more financial inclusion. In this paper, the authors examine the interrelationship of Fintech, base of the pyramid (BOP) entrepreneurs and social value creation, particularly in the SSA context.

The current paper uses a qualitative research design with open-ended, in-depth interviews as the main data sources. The authors interviewed respondents from the Sierra Leone Fintech Association and four BOP entrepreneurs operating in different sectors.

The authors find that Fintech services, specifically mobile money, play a significant role in reducing uncertainty surrounding business operations. FinTech also offers growth possibilities for BOP entrepreneurs and creates social value by providing transactional security, convenience and reducing physical cash robberies. At the same time, Fintech contributes to social value by enhancing BOP entrepreneurs as well as consumers' skills development.

This study highlights the importance of context-specific theorization when analyzing the interlinkage between BOP entrepreneurship, social value creation and Fintech. For example, the possibility of safety from a street robbery may not appear to be part of social value creation by a technological development like Fintech. However, in a country like Sierra Leone, which has experienced both a civil war and Ebola outbreak, insecurity has been one of the biggest concerns expressed by BOP inhabitants. Hence, scholars need to incorporate contextual elements of risk, uncertainty and volatility while theorizing on Fintech's application in BOP contexts.

A key managerial implication relates to micro-firm entrepreneurs and information specific benefits. Fintech offers entrepreneurs the possibility to be in regular contact with customers and evaluate their purchasing patterns as well as emergent needs. Fintech offers BOP entrepreneurs a possibility to further develop their technological skills as learning to use such apps can be used as a basis for further skills development. From a policy perspective, our study highlights the importance of regulating Fintech charges so that the affordability is increased, which is expected to result in significantly more BOP entrepreneurs using these services.

The authors find that at the same time, Fintech contributes to social value by enhancing skills development of BOP consumers who interact with case firms.

This paper is one of the first studies that specifically focuses on BOP entrepreneurship and social value creation by Fintech services in an SSA context. It is also one of the few studies that incorporates views from both entrepreneurs and the country's Fintech association, rather than focusing solely on either entrepreneurs or Fintech firms. Finally, there is a specific focus on BOP entrepreneurs engaging in micro-entrepreneurship.

The change in Malaysian financial environment can be attributed to digitalization as banks are racing to digital maturity by 2020. Historically in Malaysia, the use of credit card was a Fintech development in the 1950s to help Malaysians minimize the burden in carrying cash all the time. The aim of financial technology in the 1990s was to encourage bank customers to use the online banking system instead of only automated teller machine. Fintech services are swiftly interrupting banks' services globally. Similarly, Malaysia's banking sector is experiencing the interruption since as more Fintech organizations are innovating new Fintech service to improve convenience for clienteles. Numerous regulatory agencies in Malaysia and the Malaysian government have set up several initiatives to encourage and provide a vigorous growth in the Malaysian Fintech and digital asset regulatory environment. Expectation Confirmation Model, Technology Acceptance Model, and Cognitive Model are viewed as the most popular frameworks that discuss the continuous intention to use information system. The combination of these three models has led to the creation of Technology Continuance Theory (TCT). TCT postulates that five prominent constructs or antecedents are depicted as key indicators in explaining the users' intentions for continuous use: (1) confirmation, (2) perceived usefulness, (3) perceived ease of use, (4) satisfaction, and (5) attitude. Furthermore, TCT adds to the argument on the consumers' continuance adoptions by assimilating satisfaction and attitude into a single construct.

This study aimed to present the methodology of the text data analysis to establish marketing strategies for fintech companies in a practical way. Specifically, the methodology was presented to convert customers' review data, which consisted of the text data (unstructured data), to the numerical data (structured data) by using a text mining algorithm “Global Vectors for Word Representation,” abbreviated as “GloVe”; additionally, the authors presented the methodology to deploy the numerical data for marketing strategies with eliminate-reduce-raise-create (ERRC) value factor analytics.

First, the authors defined the background, features and contents of fintech services based on a review of related literature review. Additionally, they examined business strategies, the importance of social media for fintech services and fintech technology trends based on the literature review. Next, they analyzed the similarity between fintech-related keywords, which represent the trends in fintech services, and the text data related to fintech corporations and their services posted on Facebook and Twitter, which are two of the most popular social media globally, during the period 2017–2019. The similarity was then quantified and categorized in terms of the representative global fintech companies and the status of each fintech service sector. Furthermore, the similarity was visualized, and value elements were rebuilt using ERRC strategy analytics.

This study is meaningful in that it quantifies the degree of similarity between customers' responses, experiences and expectations regarding the rapidly growing global fintech firms' services and trends in fintech services.

This study suggests a practical way to apply in business by providing a method for transforming unstructured text data into structured numerical data it is measurable. It is expected that this study can be used as the basis for exploring sustainable development strategies for the fintech industry.

Recently, traditional financial institutions are facing strong competition from disruptive innovators (Fintech firms) forcing them to increasingly invest in new IT solutions to maintain their competitive edge. However, there are still advantages that traditional financial institutions enjoy, of which the primary one may be reputation. Surprisingly, the firm reputation link to use intention has not received much attention in the literature, prompting this research. The purpose of this study is to examine the firm reputation link to use intention in the context of mobile banking.

The results are based on a survey of 783 participants in Vietnam.

The study confirmed that reputation plays an important role in promoting use intention for mobile banking. Additionally, perceived risk and trust are also linked to perceived usefulness (PU) and perceived ease-of-use (PEOU).

This study is among the first to link perceived risk and trust to PU and PEOU in a mobile banking context. Based on the Theory of Reasoned Action, the study adds to the literature by connecting two separated research themes: technology adoption and reputation. It also suggests avenues for both traditional banks and Fintech firms to set their business strategies to enhance their reputation or collaborate for mutual benefits.

The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.

The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.

The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).

This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.

This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.

Emerging literature on fintech has shown that consumers have been slow to adopt fintech-based products and services. However, limited literature is available regarding the factors associated with consumers' adoption of these products and services. This study aims to investigate the factors that are associated with consumer adoption of fintech-based products and services.

Data on the usage and perception of smartphone financial apps by US residents ages 18–70 was collected in the fall of 2020. Based on the Extended Post-Acceptance Model (EPAM) framework, Structural Equation Modeling and Confirmatory Factor Analysis were applied to inspect how financial capability, perceived security and perceived usefulness affect fintech adoption.

Fintech proficiency, investment risk tolerance and perceived safety are positively associated with the frequency of fintech application use upon adoption. Consumers are more likely to feel safer if they are more financially capable and technologically proficient. Consumers with higher risk tolerance tend to believe fintech apps are safe to use. Consumers with higher fintech proficiency are more likely to recognize the usefulness of fintech services.

The study introduces a revised EPAM framework with antecedent factors, fintech proficiency and risk tolerance to investigate the factors associated with consumer adoption of fintech-based products and services. The key findings of this study validate the EPAM in the American context. Additionally, this research is among the first to have confirmed the direct relationship between perceived security and fintech adoption. The results have practical implications for existing fintech companies, banks and financial institutions, policymakers and financial advisory practices considering adopting fintech-based services for their clients.

As mobile payment systems have been in constant demand and are increasing in recent years, the various stakeholders involved in the process need to be identified. The study mainly includes ease of use, perceived usefulness, facilitating conditions, social influences, adoption readiness and intention to use financial technology (FinTech) in India. This paper aims to discuss FinTech and its dynamic changes in the banking sector. This study tests the mediation influence of perceived trust on adoption readiness and intention to use FinTech in India. The proposed impact of mediation of perceived trust was significant but small on adoption readiness and intention to use FinTech.

A questionnaire survey was administered to mobile payment users, and 349 responses were collected. Structural equations are analyzed to determine the proposed variables’ direct effects on adopting them. Additionally, to examine indirect effects, the mediation test is used.

The analysis results support the proposed model and thus help explain the impact of adoption readiness, trust and intention to use digital payment. The study’s significant findings will enable mobile payment institutions to understand the variables related to the growing use of technology in customers’ contexts. The study reveals the significance of ease of use, perceived usefulness and facilitating the service condition, which means that vendors prefer to use compatible devices that are easy to use with other devices. The analysis also explores the critical influence of perceived usefulness on customer behavior, enabling software designers to encourage accessible processes and device advantages for customers.

Mobile payment systems offered by financial institutions until currently become a variety of mobile payment services due to rapidly evolving information technology. This work is a groundbreaking attempt to apply technology acceptance in recent years to the emerging framework of mobile banking systems. This study examines the adoption of mobile payment technologies by proposing an extended technology acceptance model (TAM) to capture the issues associated with adoption in India through banking users. Now customers are aware that cyberattacks on banking networks and data breaches quickly through media and social networks. Also, they know that the industry has done little to avoid or mitigate these attacks.

This study examines the adoption of mobile payment technologies by proposing an extended TAM to capture the issues associated with adoption in India through banking users.

Financial technology (FinTech) is experiencing transformation because artificial intelligence has become the new norm to enrich the experiences of individuals in this modern era of technological advancement. The article utilizes the stimuli-organism-response (SOR) framework to investigate how individual attitudes and behavioral intentions influence the adoption of FinTech, particularly in mobile banking.

433 respondents participated in the self-administered survey to answer questions related to demographic profiles and items to assess the variables adopted in the conceptual framework. The study applied “partial least squares structural equation modeling” PLS-SEM to analyze the data.

A structural equation model indicates that perceived usefulness and ease of use significantly affect attitude and behavioral intention. Moreover, the outcomes show that perceived value and social influence significantly influence, while perceived risks and performance expectancy insignificantly affect behavioral intention. Further, the outcomes also confirm that attitude and behavioral intention substantially influence mobile banking adoption.

The article provides insights for practitioners to improve and assess the quality of mobile banking services by using proposed antecedents that may increase the actual use of FinTech services, which serves as a valuable resource for stakeholders.

The new research model adds to the existing literature by offering empirical evidence of mobile banking adoption by considering three theories. Further, the study builds upon the S-O-R framework that incorporates FinTech attributes to explain the antecedents of the actual use of FinTech towards mobile banking adoption.