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The diffusion of near-field communication (NFC) m-payment depends largely on retailers who are more motivated to provide NFC m-payment for the retailers' customers if NFC m-payment increases loyalty. Therefore, this paper investigates the relationship between customer acceptance of NFC m-payment and loyalty towards the retailer amongst Generation Z.

The NFC m-payment technology acceptance model was extended with loyalty intention towards the retailer. Therefore, an online survey was conducted amongst Generation Z that resulted in a sample of 310 respondents. The collected data were analysed by structural equation modelling (SEM).

Results proved that the customers' intention to use NFC m-payment contributes to a large extent to loyalty intention toward the retailer. Besides, usefulness, enjoyment, social influence and compatibility with lifestyle played a significant role in customer acceptance of NFC m-payment.

This study's sample consists of Generation Z customers, and other generations should also be tested in future studies.

The intention to use NFC m-payment predict retail loyalty. Retailers should communicate m-payment availability as a new retail service to influence store patronage.

This study provides theoretical contributions to NFC m-payment acceptance and retail loyalty literature. First, this research extends the NFC m-payment technology acceptance model with a new behavioural outcome, loyalty intention towards retailers. Second, this research enriched retail loyalty literature by proving that NFC m-payment technology adoption drives customer loyalty towards retailers.

The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance.

An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model.

Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention.

The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers have regarding m-payment.

Although the hindering effects of perceived risk regarding m-payment acceptance have been confirmed in previous studies, the sources of perceived risk were rarely investigated. By examining the determinants of perceived risk in m-payment acceptance, this paper offers insights into how consumers perceive risks when adopting new innovations. Additionally, it bridges the gap between the antecedents and consequences of perceived risk.

Although perceived risk and usefulness have been identified as two major factors that influence consumer acceptance of an innovative mobile payment (m-payment), relatively few researchers have explored the impact of affective factors on perceived risk and usefulness, and the relationship between perceived risk and usefulness. Also, it is unclear whether there is a difference in the acceptance intention among users across different diffusion stages of this innovation. The purpose of this paper is to investigate the role of positive emotion in consumer acceptance of WeChat payment across time.

This study proposed and validated a framework integrating the consumer response system model and the affect heuristic. A total of 484 valid responses were collected through two online surveys at two diffusion stages of WeChat payment technology. The structural equation modeling and multigroup analysis were used to test the hypotheses.

The results show that users’ acceptance intention is relatively related to perceived risk, perceived usefulness, and positive emotion. Positive emotion has a strong negative impact on perceived risk and a positive impact on perceived usefulness. Also, perceived usefulness strongly decreases users’ perception of risk. Multigroup analyses find that both positive emotion and perceived risk have significant positive and negative impacts on acceptance intention at the stage of market introduction rather than market growth. Rather, the influence of positive usefulness on acceptance intention is significantly higher at the stage of market growth than at market introduction.

This study indicates that exploring the role of positive emotion and the moderating effect of diffusion stages in m-payment acceptance provides a more comprehensive understanding of how to achieve a greater acceptance rate of an innovative m-payment.

This paper hypothesized that perceived relative advantage and perceived compatibility would have a positive effect on merchants' intention to accept payments via P2P mobile payment services, while perceived financial risks and perceived costs would have a negative effect. The study also explored the differences in gender, age and experience.

The proposed model is based on the valence framework, where positive utility is represented by relative advantage and perceived compatibility, while negative utility is represented by perceived risks and perceived costs. The data for this study were collected from small business owners (merchants) at the largest public market in the Center Department of Mirebalais, Haiti, using a purposive sampling method.

The results of a structural equation modeling on a sample of 339 merchants only confirmed the effect of both perceived comparative advantage and perceived compatibility. Furthermore, the multigroup analysis revealed that the perceived comparative advantage is stronger for female merchants, older age groups and merchants who frequently used P2P m-payment for the transfer of remittances. Perceived compatibility is stronger for male merchants, younger age groups and merchants who occasionally used P2P m-payment for the transfer of remittances.

This study was conducted in the economic context of Haiti, where P2P m-payments are commonly used for transferring remittances. Since there are limited studies that examine P2P m-payment acceptance from the perspective of merchants, this study offers valuable insights.

This study aims to explore the consumers’ choices of mobile payments (m-payments) using a comprehensive unified model. The financial technology for digital m-payment has been increasingly introduced in the market, yet their acceptance has remained low.

This study uses the unified theory of acceptance and use of technology (UTAUT) with additional constructs of social influence, trust, anxiety, personal innovativeness and grievance redressal (GR). Structural equation modeling is used to evaluate the predictive model of attitudes toward m-payment. Individuals’ responses to questions regarding their attitude and intention to accept m-payment were gathered and examined through the lens of extended UTAUT model.

While the model supports TAM classical role, empirical examination of the model revealed that users’ attitudes and intentions are influenced by trust, personal innovativeness and social influence. Moreover, intention to use and GR are significant positive predictors of m-payment usage behavior.

M-payment provides customers with new digital payment platforms while providing businesses and marketing agents with more alternatives for online marketing. However, there is not much reported about m-payment adoption in Pakistan. This research introduces and evaluates new constructs that were not included in the original model. In Pakistan, to the best of the authors’ knowledge, this is a first of its kind of research which is purely based on the customers’ perspective of m-payment adoption.

The purpose of this study is to investigate the determinants that likely influence the intention of using digital payment systems such as the Jordan Mobile Payment (JoMoPay) system among public sector employees in Jordan. To achieve the purpose of the current study, the authors developed a new research model based on the extended unified theory of acceptance and use of technology (UTAUT2), with one of Hofstede’s cross-cultural dimension scales [uncertainty avoidance (UA)] to provide a further understanding of the JoMoPay system acceptance in Jordan.

A partial least squares-structural equation modeling approach was used to analyze the data collected by self-administration from the 270 employees working in the Jordanian public sector located in Amman city, the capital city of Jordan. Because most main public sectors are located in Amman and because of the cost and time considerations, the current study applied a non-probability sampling with the purposive sampling technique.

The empirical results reveal that the evident drivers of behavioral intention to use the JoMoPay system are significantly and positively influenced by social influence, UA, performance expectancy, price value and effort expectancy; therefore, the H1, H2, H3, H5 and H6 were supported. Conversely, the results show no significant relationship between facilitating conditions and the behavioral intention to use the JoMoPay system, and hence, the related hypothesis (H4) was not supported.

The results of this study provide beneficial information to the Central Bank of Jordan and other service providers in Jordan about employee intentions to adopt JoMoPay system and increase decision-makers’ knowledge on factors that have an important impact in UTAUT2 model.

The results of this study enable policymakers to understand the important factors that will enhance savings, investments and living standards, create job opportunities as well as reduce the poverty, the paper money printing cost, risks of money transportation cost and the risk of human errors.

The outcomes obtained will help both practitioners and researchers elucidate and understand the situation of digital payment systems acceptance among Jordanian public sector employees, as well as help them formulate plans to expedite the adoption process of digital payment systems in the case of UA.

The increase in mobile telephone penetration has offered new opportunities for technology to improve payment operations all over the world. Little research has examined the issues related to the decision-making (DM) of mobile payment systems usage in the Jordanian context. The purpose of this study is to examine the factors that may have an influence on the adoption of mobile payment systems. This study has empirically tested the expanded unified theory of acceptance and use of technology (UTAUT2) together with awareness (AW), trust (TR), security (SE) and privacy (PR) as independent variables to explain the mobile payment system adoption in Jordan.

In total, 270 employees participated in a field survey questionnaire from the public sector in Amman city, the capital city of Jordan. Data were analyzed through a quantitative approach of partial least squares–structural equation modeling.

The results mainly showed that the determinants of DM to use mobile payment system are price value, social influence, performance expectancy, AW and TR. All of these determinants explained 60.2% of the variation of DM. In total, 72.2% has been explained as the TR to use m-payment system by SE and PR. Furthermore, the results revealed that TR mediates the association between SE as well as PR and the DM to use mobile payment system.

Interestingly, these new variables were found to be important and contribute to the UTAUT2 model. Consequently, the decision-makers in the Central Bank of Jordan should consider all these factors when re-upgrading a Jordan Mobile Payment system in the near future.

This study aims to investigate the intention of using mobile payment (m-payment) services in Sarawak, Malaysia.

A total of 194 online payment users were selected to respond to the structured questionnaire. The partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data by assessing the measurement and model.

Perceived usefulness (PU) and perceived ease of use mediated the relationship between perceived compatibility (PC) and the intention to use the mobile payment for mobile network operators’ services.

The analysis provides insights that PC is considered as a significant determinant for mobile payment of mobile network operators’ services.

The operators can consider factors such as PC in the design of their mobile applications and the potential to expand the m-payment services to others e-wallet such as Sarawak e-wallet. The model possesses medium prediction power, which suggests that other variables such as perceived security and personal innovativeness also can be used to predict the usage behaviour of mobile payment for the mobile network services.

The present study contributes to the m-payment users’ behaviour intention literature by investigating the mobile-based predictors of using m-payment technology in an emerging digital economy state in Sarawak, Malaysia. This study also extends the knowledge of technology acceptance model by introducing the mediation effect of PU and ease of use between the mobile-based predictors and m-payment 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.

This study aims to offer a comprehensive review of mobile payment (m-payment) research in hospitality and tourism.

This study systematically reviews 105 m-payment-themed publications retrieved from five research engines including EBSCOhost, Google Scholar, Web of Science, ScienceDirect and Scopus. Content analysis is used to draw insights from the articles.

Results show that research on m-payment in hospitality and tourism is generally categorized into consumer, supplier and policy dimensions. This study proposes a framework to summarize the demand–supply research standpoints and conditions that qualify research outcomes while providing contemporary policy-related discussions. Four research priorities for future studies are recommended.

Knowledge accumulation and policy-related discussions identified in this study equip practitioners with the opportunities and challenges brought by m-payment. This study provides recommendations according to the factors that drive adoption of m-payment.

This study addresses the academic gaps by critically analyzing m-payment research in hospitality and tourism and identifying four research priorities for future studies.