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This study aims to analyse the adoption of mobile payment applications during the coronavirus disease 2019 (COVID-19) pandemic using the technology acceptance model (TAM) and Technology Readiness Index (TRI).

The data were collected from 400 mobile payment application users in Indonesia. The structural equation model–partial least square (SEM-PLS) analysis was conducted to analyse the relationship between variables and test a series of hypotheses.

TRI constructs affect perceived usefulness and perceived ease of use, with the exception of discomfort which has no significant effect on the perceived usefulness. In addition, attitude is influenced by two main TAM variables: perceived usefulness and perceived ease of use. Meanwhile, the intention to use mobile payment applications is influenced by attitude.

This study will assist mobile payment application service providers and policymakers in planning services and increasing the adoption of mobile payment applications during the COVID-19 pandemic. This study will also add the existing knowledge about the mobile payment applications literature in the context of a pandemic.

This study is the first to empirically employ the TAM and TRI in analysing the adoption of mobile payment applications during the COVID-19 pandemic.

The purpose of this paper is to investigate the impact of perceived satisfaction with mobile payment applications based on use experience, and subsequent stated expectations on brand loyalty and future use behavior using a theory-based research integrative model of factors that influence Arabs’ intentions to use mobile payment application(s).

A conceptual model was developed using the mixed research method approach. The focus group approach was used for the qualitative study and structural equation modeling for the quantitative study. Primary data were collected online. Participants were 305 Arab consumers from nine countries in the Middle East.

Satisfaction with the quality of mobile payment application(s) increased use experience and enhanced consumers’ expectations, which in turn positively affected loyalty and purchase intentions.

The study encompassed mobile payment application(s) in nine countries rather than focusing on one market, or on one product type and business. The paper did not perform a comparative study between sampled Arab countries, but rather it sees all countries and respondents just as Arabs.

Service providers should build mobile application(s) based on the features of usability, availability, reliability, adaptability, accessibility, responsiveness and security.

This study is one of the first studies that empirically examines mobile payment consumer’s usage behavior from nine countries of the Arab world where there is scarce research on the topic in the region.

The purpose of the paper is to provide an initial study on the Italian mobile payment services market, and to identify and assess the main diffusion drivers of mobile payment applications.

The research design integrates an exhaustive census of all Italian mPayment applications and an in‐depth analysis of the most significant cases performed through the case studies methodology: ten user companies or “merchants” and six service providers were analyzed through semi‐structured interviews given to top managers.

Through the census, 21 mPayment applications and related services were identified. In addition to this, the case studies brought greater understanding of the key diffusion drivers: strong inhibitory factors and adoption barriers are still restricting user adoption despite the many benefits related to these services.

The research represents a first, exploratory study of a market at its embryonic stage of development. Nevertheless, given the global magnitude of the Italian mobile telecommunications market and the gradual rise of the mPayment paradigm, the analysis can provide a valuable basis for future studies in the field.

The findings can support a wide set of stakeholders – both first movers and newcomers of the mobile payment segment – in their offer definition and market making choices.

The paper combines a census and a case study methodology to delineate the offer's state of the art for innovative, mobile channel‐based payment services; moreover, its assessment of the applications' core benefits, diffusion drivers and adoption barriers can be tested for generalization to different contexts.

The purpose of this paper is to study mobile services for supply chain management (SCM) in the electronic grocery (e-grocery) sector. The authors investigate their diffusion and formulate policies in order to stimulate the adoption.

A System Dynamics model is proposed for a short fresh food supply chain (SC). The model predicts how product traceability, mobile payment, and time-based delivery management functionalities contribute to the adoption of a SCM mobile application.

The three services drive the diffusion of the application. A high level of real time information brings decreased inventory levels and more frequent order placing, leading to an increased number of logistics transactions managed by the mobile application and growth in the associated revenue for the service provider company.

The proposed study fosters research on overcoming the barriers that prevent integration, collaboration, and better visibility in e-grocery SCs.

This work constitutes a roadmap to identify the key enabling factors of e-grocery expansion.

This is one of the few contributions focussing on increasing the efficiency of e-grocery SCs by applying management strategies supported by mobile devices.

Global digital payment transactions increase continuously. Due to the inconsistencies that occurred across the research findings, past researchers have called for further investigation to verify and empirically test the mobile payment acceptance model. The purpose of this paper is to develop an integrative model that is derived from the multiple technology acceptance models (TAM)’s a theoretical framework and past literature to understand how consumers decided to adopt mobile payment. By simultaneously testing mechanisms, namely, ease of use, usefulness and risk, the current study will be able to advance scholarly knowledge of the underlying consumer’s attitude and behavior that link social influence to intention to use.

A total of 370 valid responses were collected using self-administered questionnaires distributed via online platforms, a representative for Thai consumers. An ordinary least square regression and bootstrap analyzes were conducted through PROCESS Macro to analyze the moderated serial-multiple mediation model in the consecutive inducing of social influence, perceived ease of use, perceived usefulness and perceived risk toward the consumer’s intention to use mobile payment.

Within the context of consumers evaluating a mobile payment, statistics significant were found for the hypothesized direct and indirect effects of perceived ease of use and perceived usefulness on an intention to use. The results showed that Thai consumers’ intention to use mobile payment was significantly affected by their attitudes in terms of usefulness and the less complication in using the applications. It is confirmed that social influence indirectly affects intention to use via the increase of perceived ease of use and perceived usefulness. The study also found a significant interaction between perceived risk and perceived usefulness toward intention to use.

It is recommended to service providers to continue improving the user-friendliness, navigation, integrity and furnish the system with more value-added activities within the mobile payment application. It is also essential for the company to deliver tutorials and clear and easy-to-follow instructions to customers. At the same time, the marketer should develop marketing strategies to promote the usefulness and simplicity of using the applications to the consumers. When consumers experienced the easiness and usefulness of the applications, these could overcome the resistance feeling to use due to the concern on any potential risk.

The study contributes to the existing body of knowledge on consumer usage behavior and TAM by integrating all important variables and developed a parsimony framework to explain consumers’ usage adoption on mobile payment. Moreover, the current study was the very first that proposed and tested a serial of multiple mediations of perceived ease of use and perceived usefulness, moderated by perceived risk, in the relationship between social influence and consumers’ intention to use mobile payment and discovered a moderating role of perceived risk toward the relationship between perceived usefulness and mobile payment usage intention.

Consumers in India are increasingly using mobile payment systems (MPSs) to make online and offline payments. Digital payment applications are gradually being used as surrogates for cash, checks and plastic money. The motive behind this research is to analyze the different antecedents that impact the users' willingness to continue using the MPS in India.

An extensive study of the literature review supports the creation of a framework that describes the continuance intention of using MPS. Data from a survey of 612 respondents from India were collected to assess the research model. The study used partial least squares (PLS)–structural equation modeling (SEM) technique to empirically validate the framework developed.

The outcomes of the research suggest that service quality, attitude, effort expectancy and perceived risk act as influencing antecedents of continuance intention to use MPS. Determinants like perceived trust, convenience and social value have no influence on users' continuance intention. SEM analysis has verified the proposed model, which explains 50.7% of the variance of the users' continuance intention of using MPSs.

The research is built upon cross-sectional data carried out in India. Hence, the outcomes of the study are limited to this region only.

Engaging with the consumers for a long time and enabling their continuance usage are extremely important for firms offering mobile payment services. The managerial implications provide insights into the different ways to capture new business opportunities to the firms rendering mobile payment services in the wake of changing consumer behavior.

This research tries to analyze users' continuance intention to use MPS in India. Although many research studies have investigated the willingness of the individuals to adopt novel technology in different frameworks, there are hardly any empirical studies carried out to analyze the antecedents of users' continuance intention to use MPSs.

This study investigates the use of gamification in promoting the silver generation's adoption of mobile payment technology through the gamified cultural practice of gifting red packets. It considers the effectiveness of using gamification in a cultural context to promote technology acceptance among older adults. This crossover between digital technology and cultural traditions brings unique gaming elements to the adoption of technology.

Drawing upon technology acceptance Model (TAM) and prospect theory, a research model is evaluated using structural equation modeling. Data were collected via survey from elderly consumers who are current users of WeChat but are yet to use its mobile payment functions.

The results reveal the perceived effectiveness of gamification is determined by the perceived enjoyment of the game and contributes to users' attitude development, directly and through its perceived usefulness. Perceived risks were identified as a barrier to converting positive attitude into adoption intention.

The findings contribute to the conceptualization and understanding of the effectiveness of gamification in technology adoption, specifically among the silver generation.

In contrast with previous gamification studies on gamified experience, this study introduces a new conceptualization of the perceived effectiveness of gamification and its measurement. This study validates game engagement as being effective in encouraging seniors to adopt a technology. In an era of an aging population where digitization is a norm, improving the digital literacy and digital inclusion of elders by encouraging them to adopt technology is essential to developing a more accessible and inclusive social environment.

Shifting to mobile-based banking transactions from physical banking transactions can be considered as a social distancing mechanism, which helps to prevent the spread of Covid-19 virus. As the spread of Covid-19 is expected to continue for long, the continued usage of mobile-based payment services as a strategy to maintain social distancing has to prevail. Hence, this study aims to propose an integrated framework of mobile payments adoption and its continuance intention by integrating health belief model (HBM) and expectation confirmation model (ECM) of information system continuance.

The subject of the study constitutes new adopters of mobile payments. A total of 654 respondents participated in the survey. The conceptual model was empirically validated using structural equation modeling and serial mediation analysis.

The study found that the HBM constructs, namely, perceived severity, perceived susceptibility and self-efficacy significantly influenced adoption/confirmation of mobile-based payment services. The continuance intention was significantly predicted by perceived usefulness and perceived satisfaction. Furthermore, the perceived health threat (comprising perceived severity and perceived susceptibility) indirectly affects continuance intention through confirmation, perceived usefulness and satisfaction.

There are short-term and long-term implications for the study. Short-term implications include triggering the HBM at policy levels, to adopt mobile payments/banking as a means of social distancing in the wake of the increasing threat of Covid-19 in India. Long-term implication for service providers is to convert adopters into loyal consumers by enhancing usefulness and satisfaction.

The study proposes a novel attempt to explain the adoption and continuance of mobile-based payment as a preventive health behavior to contain the spread of Covid-19 outbreak. The study proposes an integrated framework of HBM and ECM to explain pre-adoption and post-adoption behavior of consumers with respect to mobile-based payment services during Covid-19 context.

This study aims to identify the impact of mobile payment on firm performance by developing a model based on the technology, organization and environment framework (TOE framework) including relative advantage, complexity, compatibility, innovativeness, mobile payment knowledge, critical mass, competitive pressure and external support.

The data were collected from the retail and service firms in Bangkok, Thailand (n = 387). Multiple regression analysis was applied to test the proposed model and carried out in SPSS version 25.

The results indicated that the TOE factors, including relative advantage, innovativeness, mobile payment knowledge, critical mass, competitive pressures and external supports, can predict firm performance. While innovativeness is the strongest predictor of positive firm performance, on the other hand, critical mass is found to be negatively significant on firm performance.

This research suggests that firms that accept mobile payment can identify the positive impact on firm performance and it is important for payment service providers and the government to work closely with firms.

As some merchants still refuse to implement mobile payment services in their business, this current study seeks to understand the impact of mobile payment. However, not many studies are reported its impact in Southeast Asia. This study is probably the first in Thailand to examine the impact of mobile payment on firm performance in the retail and service firms.

The purpose of this paper is to examine the impact of key antecedents of unified theory of acceptance and use of technology model 2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India.

A sample of 267 mobile payment system users in National Capital Region was obtained through an online survey. A partial least squares method was used to find out whether key antecedents of UTAUT2 predict behavioral intention to accept mobile payment systems which further predicts use behavior toward mobile payment systems.

The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.