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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.

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.

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.

The purpose of this paper is to determine the significant antecedents of peer-to-peer (P2P) m-payment acceptance and explore the moderating effects of gender on the influence of these predictors with regards to intention of using the system.

The research was conducted on a sample comprised of 701 Spanish smartphone users. A multi-group structural equation modeling analysis was used to test the moderating effect of gender with a particular focus on the relationships between the latent variables of the research model.

The study identified significant differences between the two observed groups – the results show that men are more likely to use mobile payments than women and are therefore less influenced by the potential risks involved. In addition, men are more easily influenced by their social environment, whereas women are more influenced by their personal innovativeness.

The study proposes a three-level model, based on an extended TAM model. It is a pioneering study, exploring the effects of gender on P2P m-payment acceptance. Due to its novel value and the potential involved, the results of the study may be of great importance for m-payment providers, particularly in marketing strategy planning and customer segmentation.

With the popularity of mobile devices and new technologies, such as NFC, mobile payment, which is taking the place of credit cards and cash as the chief payment method, is attracting more and more attention. Thus, this paper aims to investigate the main determinants of mobile payment use intention and proposes a model of mobile payment adoption, integrating mindfulness as a major factor.

Data for the study were collected through an online survey of a representative sample of 414 users in the United States and 380 in Spain. Structural equation modelling (SEM) was used to verify the validity of the variables and the relationships among them.

The results showed that mindfulness, perceived ease of use, perceived usefulness, subjective norms and attitude have significant influence on mobile payment use intention.

The present study is based on samples from only the United States and Spain, which limits generalization of the results. The notion of mindfulness is new in mobile payment adoption research, so future studies should analyze in more detail and in depth its effect on these adoption processes.

This is the first study to incorporate mindfulness into a mobile payment adoption process. Incorporating mindfulness complements traditional variables to show how users address the adoption process (e.g. novelty seeking, engagement, anxiety, attention paid).

The purpose of this paper is to introduce the RISE model on service innovation in coopetitive business environment. The case study illustrates why and how Chinese providers utilize ecosystems for innovative mobile payment service development to achieve coopetitive advantage based on firms’ superior resources.

The companies in the case study include Alipay (third-party actor), Bestpay (mobile operator), and UnionPay (banking). Empirical data comes from semi-structured interviews complemented with observations and documents. The analysis of the data follows grounded theory guidelines: creation of a theoretical framework, data collection, and interpretation of the data using the coding strategies of open coding, axial coding, and selected coding.

Inter-organizational co-innovation appears as a successful strategy for mobile payment service innovation. In addition to strategic choice on this, understanding of superior and inferior resources and capabilities influence firms’ coopetitive advantages in a coopetitive service development environment. Ecosystems are formed along with the innovating activities, and difficulties are caused by coopetition challenges. The RISE model enables the analysis and selection of strategic patterns for service innovation in a coopetitive environment.

The paper contributes to resource-advantage theory and platform ecosystem theory. The theories are used to analyze and model the effects of strategy execution for achieving win-win relationships in inter-organizational co-innovation. This paper helps executives to match their service innovation strategies to platform ecosystem architectures, as well as to understand how resource-advantage challenges affect the execution strategy of setting up their platform ecosystems.