Search results

As the competition to retain current and attract new mobile payment app users intensifies, meeting users’ needs has become fundamental for mobile payment app service providers to stay competitive. This study aims to investigate the relationship between users’ needs, users’ attitude towards mobile payment apps and users’ continuance intention to use mobile payment apps.

Following an exploratory sequential mixed methods research design, this study first conducted three focus groups in the qualitative phase to investigate issues or concerns faced by current users of mobile payment apps. The study then conducted an online questionnaire survey in the quantitative phase to collect responses from users of mobile payment apps. Partial least squares structural equation modelling was used to analyse 110 valid responses.

Findings show that usefulness (modelled as a second-order reflective construct consisting of three first-order reflective constructs, i.e. ease of use, acceptability and responsiveness), traceability and security had a statistically significant relationship with attitude towards mobile payment apps (which in turn had a statistically significant relationship with continuance intention to use mobile payment apps). It was also found that attitude towards mobile payment mediated the relationships between usefulness, traceability and security; and continuance intention to use mobile payment apps.

The findings of this study can help mobile payment app service providers and developers design apps that offer the functions and features that their users need.

Although some recent studies have investigated the adoption of mobile payments in the Malaysian context, few of these studies examined current users’ continuance intention to use mobile payment apps.

The purpose of this paper is to develop and test an integrated model of the modified technology readiness index (TRI) with the extended expectation-confirmation model, in the context of information technology (E-ECM-IT) to explain the adoption and the intention to continue to use mobile payment applications (apps).

Data were collected from 426 users of mobile payment apps across South Africa. A confirmatory factor analysis was performed to validate the factor structure of the measurement items while structural equation modelling was employed to validate the proposed model and testing the hypotheses.

The overall model explained 81 per cent of variance in adoption and 78.5 per cent in the intention to continue to use mobile payment services. “Drivers” were better predictors of adoption than “inhibitors” while satisfaction emerged as the strongest predictor of continuance intentions.

To the best knowledge of the authors, this study is the first to empirically test an integrated modified TRI and E-ECM-IT model to supplement the paucity of research on the topic. The results show that the integrated model provides an enhanced way to understand the factors that influence adoption and continuance intention towards mobile payment apps. The results also add to existing knowledge of mobile technology literature.

Purpose: The main purpose of this study is to test the effect of consumers’ readiness level to use new technology on their intention to use mobile payment applications based on the technology readiness and acceptance model (TRAM). In detail, it examines how the dimensions of TR as ‘optimism, innovativeness, discomfort, and insecurity’ affect consumers’ intention to utilise mobile payment applications. Moreover, the effect of the technology-accepting behaviour measured by two major factors as ‘perceived usefulness’ and ‘perceived ease of use’ on the intention to use mobile payment applications is also examined.

Need for the study: The existence of a mobile system alone is not enough to attract consumers with no user experience to these applications. The user-centred attribute in the usage of these applications, which involves the influence of technology readiness (TR), has been largely ignored especially in developing countries. By focussing on this area, it is expected to fill the gap that has not been sufficiently handled in the developing country settings and, particularly in Turkey.

Methodology: The study population consists of the consumers who live in İstanbul who is aged 18 and over and use mobile payment technology at least once. After collecting data, confirmatory factor analysis was applied to validate the measurement model. Afterward, the structural model was tested by the Maximum Likelihood-MI estimation method, and the bootstrap samples were stated as 5,000.

Findings: When the results of the study are examined, it is seen that optimism has a significant influence on the perceived usefulness and perceived ease of use dimensions of the technology acceptance model, while innovativeness is significant only on the perceived ease of use. This study results also show that discomfort and insecurity don’t significantly influence the perception of usefulness and easy-to-use mobile payment applications as perceived by individuals. Perceived ease of use is to positively affect the perceived usefulness. Additionally, the perceived ease of use and the perceived usefulness are strong predictors of intention to use mobile payment applications.

Practical implications: Findings of this study demonstrate the validity of the technology readiness and acceptance model for explaining the intention of using mobile payment applications in Turkey. To improve consumers’ intent in the usage of m-payment apps, their level of technological readiness towards technology should be determined and the factors that affect the formation of insecurity and discomfort attitudes of individuals should be emphasised.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).

1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.

From statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.

This is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.

The present study aims to understand small retailers' current use of various low-cost technologies and the factors responsible for small retailers' adoption. Furthermore, these factors of adoption were mapped back to beliefs within the theory of planned behaviour (TPB), and an attempt was made to understand if some of the beliefs dominated over the others and their implications.

The study takes a qualitative approach comprising in-depth semi-structured interviews and direct observation. The qualitative data were analysed through a thematic analysis to identify technology adoption factors.

Amongst the various technologies (mobile apps), payment and procurement apps were the most widely used. The authors identified eight factors influencing technology adoption: the top being customer demand for payment apps and convenience and cost-saving for procurement apps. The study also highlights the role of the dominant beliefs in technology adoption, which managers could use to improve adoption rates.

The current study is a cross-sectional study and the sample was predominantly of grocery retailers, limiting the generalisability of the results.

Small retailers face stiff competition from organised retail and e-commerce platforms which threatens small retailers' existence. Small retailers' survival is vital as many people depend on the small retail sector for livelihood. Increased use of technology seems the only way for them to stay competitive and increase profitability. The study's outcome could help increase technology adoption amongst small retailers and increase small retailers' competitiveness.

Despite the widespread presence of small retailers in emerging economies, few studies have examined technology adoption amongst them. This study is also the first to use the TPB theory in the small retailer technology adoption context.

The study has two aims: first, it aimed to investigate the impact of contextual factors (such as information quality, service quality, system quality, trust in applications (app) and COVID-19 health anxiety) on the intention to use the Mobile Payment (MP) app, and subsequently, the actual use of the app. Second, the aim of this study is whether the COVID-19 threat has a moderating influence on the relationship between customers' intent to use MP app and the actual use of MP app.

The data are collected through an online survey from 341 Mobile Banking (MB) app users from Pakistan to empirically analyze the relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety and COVID-19 threat, intentions to use MB-app and actual use of MB-app.

The empirical analysis of the data collected from MB-app users from Pakistan shows that service quality, system quality, information quality, trust in the app and COVID-19 health anxiety positively related to intentions to use MB-app, consequently affect the actual use of MB-app. Furthermore, the results demonstrate that the COVID-19 threat positively moderates the relationship between intentions to use MB-app and actual use of MB-app.

Although, prior research established a positive impact of mobile apps on customer service and consumer satisfaction. Yet, it is not clear which factors influence customers to adopt MB-app. This study contributes to the research on MB-apps based on adaptive structuration theory and examines the technological factors and contextual factors that collectively explain when and how individuals decide to adopt MB-app.

Using features of social media, peer-to-peer (P2P) mobile payment enables users to foster social interaction every time transactions are made. Given the increasing popularity of social features in P2P mobile payment applications, it is worth understanding how these components contribute to users’ switching behavior between conventional mobile payment and P2P mobile payment services. By treating sociability of P2P mobile payment as a pull factor, this study aims to extend the push–pull–mooring framework in the context of P2P mobile payment.

A questionnaire survey was conducted to obtain data. Respondents from the USA were exclusively selected due to the emerging number of P2P mobile payment users and the volume of transactions in this country. Based on a sample of 232 Amazon Mechanical Turk mobile payment users, the authors tested the hypotheses using the partial least squares structural equation model technique with SmartPLS software version 3.

The finding reveals that sociability is triggered by social presence, social benefit and social support within the P2P mobile payment platform. Moreover, dissatisfaction with perceived enjoyment of conventional mobile payment (push factor), customer innovativeness (mooring factor) and sociability of P2P mobile payment (pull factor) jointly influence users’ intention to switch to P2P mobile payment services, and subsequently drive their migration behavior.

Unlike past research that mainly focuses on utilitarian-related factors, to the best of the authors’ knowledge, this study is among the first to thoroughly examine the sociability features of P2P mobile payment service as a form of a social-centric system.

Platform-driven business models have witnessed a significant proliferation in emerging economies. Such initiatives bring cost-effective services to a larger section of the population, given the reach of mobile phones. Drawing insights from the institutional theory and theories on the multisided platform, this paper aims to examine the impact of institutional intervention and platform competition on the initial adoption and continuance intention of platform-based payment services.

The research model is empirically developed through a unique single-case study covering the high-value banknote demonetization in India that was initiated in November 2016. The research is primarily based on archival data and is supported by a limited number of interviews.

The research finds that institutional interventions (in multiple forms) have increased people’s eagerness to use mobile payment. Supportive institutional environment and common citizen’s increased eagerness for mobile payment usage resulted in the emergence of multiple mobile payment platforms. Moreover, competition among multiple payment platforms positively impacts the continuance intention of users to use mobile payments.

The research supplements the present understanding of the technology adoption challenges. The study highlights that the relative success of technology adoption cannot be attributed only to the users’ economic or technological motives, as embodied in the adoption models. Carefully designed interventions by the institutions can reduce users’ inertia in using new technology and positively influence the emergence of multiple platform-based service providers.

Despite the significance of donations (Sadaqah) via mobile payment in Islamic countries, little is known about the variables influencing continuance intention toward using m-payment for donations (Sadaqah). Based on the stimulus-organism-response (S-O-R) model, this research explores the influence of perceived quality (i.e. system, information, service) as a stimulus on customer satisfaction, engagement and delight as organisms, which then affects continuance intention toward using m-payment for donations (Sadaqah) as a response. Moreover, the study investigates the moderating role of Islamic religiosity.

Using partial least squares structural equation modeling (PLS-SEM), a representative data sample of 419 Egyptian Muslims was analyzed to test hypotheses.

The findings revealed that all perceived quality constructs significantly positively affect customers' satisfaction. Customer satisfaction, in turn, positively affects customer engagement and delight. Moreover, customer engagement, delight and Islamic religiosity significantly positively affect continuance intention toward using m-payment for donations (Sadaqah). The findings also revealed that Islamic religiosity moderates the influence of customer engagement and customer delight on continuance intention toward using m-payment for donations (Sadaqah).

This is the first study to examine using m-payment for donations (Sadaqah) in an Islamic environment based on the S-O-R model.