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Demonetization and pandemic-related restrictions in India propelled the usage of mobile payments (M-payments). The culture of online smartphone transactions is expected to rise over the coming years, even after things return to normal. This study aims to unveil the factors that escalate the satisfaction levels of M-payment users and eventually stimulate them to continue using M-payments for their daily activities.

This study evaluated the intention to continue using M-payments for 710 users utilizing structural equation modeling and augmenting the technology acceptance model (TAM) as well as the expectation confirmation model (ECM). Mediation and moderation analysis examined the proposed model's direct and indirect relationships.

The findings unveil that perceived value co-creation participation, service quality and cognitive processing magnify user satisfaction, significantly escalating M-payment continuance usage intention. Perceived value co-creation participation and user satisfaction with M-payment partially mediate the linkage among the constructs. Furthermore, perceived usefulness strengthens the link, while perceived severity of security threats weakens the linkage between user satisfaction with M-payment and continuance usage intention.

The study's findings could benefit M-payment service providers, users, policymakers and the telecom industry to strengthen India's digital payment framework.

The perceived value co-creation participation and cognitive processing domain have not garnered much attention in the M-payment literature. The study strives to comprehend these constructs by widening the purview of TAM and ECM models. It also measures the moderating role of perceived severity of security threats and perceived usefulness to unfurl potential linkages between the identified constructs.

This study proposed and tested three comprehensive models of the usage intention of proximity mobile payment services after a government regulation, by integrating the theory of planned behaviour (TPB) and the norm-activation model (NAM). The purpose of this paper is to investigate the effects of moral norms, merchant pro-activeness and perceived government regulation (demonetisation) on users’ continuance intention of proximity mobile payment services.

In total, 387 users of proximity mobile payment services in India were surveyed using a structured questionnaire. This study was carried out with shoppers in the Mumbai Metropolitan Region and New Delhi because of the diverse and large population of these cities.

The results of this study indicated that: integrating the variables of NAM into the original TPB model enhanced the prediction effect; perceived demonetisation regulation exerted a direct determinant effect as well as moderate effect on continuance usage intention of mobile payment services; also, extended TPB model with perceived demonetisation regulation as moderator could satisfactorily predict the continuance usage intention.

The results provided insightful evidence for the government and policymakers to outline more effective mandatory regulation policies.

This investigation attempts to enhance the theoretical understanding of the antecedents of in-store proximity mobile payment services after government regulation (demonetisation) in India.

The purpose of this study is to investigate the continuance intention of using e-government services in Tanzania as well as moderating effects of system interactivity.

A research model based on expectancy confirmation model was developed and empirically tested using 213 data collected from e-government services users who were selected using the judgemental sampling technique. The variance-based structural equation modelling technique was used for data analysis using SmartPLS 3.0.

The results of this study suggest that system interactivity, computer self-efficacy, management support, confirmation, satisfaction and perceived usefulness have a positive and significant influence on continuance intention to use e-government services. Moreover, the findings of this study indicate that system interactivity moderates the influence of perceived usefulness and satisfaction on continuance intention.

This study extends the expectancy confirmation model with system interactivity, management support and computer self-efficacy which are considered as important factors in continuance usage of technology. Furthermore, this study examines the moderating effect of system interactivity on the effects of perceived usefulness and satisfaction on continuance 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.

The purpose of this paper is to examine the continuance intention of Alipay by proposing an integrated model. This paper highlights how the capacity of providing context-based information to the users plays significant role in determining the continuance intention of mobile payment like Alipay.

Data are collected from 336 Alipay users from Wuhan, P.R. China. To analyze the data, the authors apply structural equation modeling approach. Also, the authors perform importance-performance map analysis (IPMA) to identify the critical factors in explaining the continuance intention of Alipay.

The results of the study reveal that confirmation and perceived usefulness significantly influence the continuance intention of Alipay through satisfaction. Also, perceived usefulness, satisfaction, context and ubiquity have direct impact on the continuance intention of Alipay through attitude. According to IPMA, perceived ease of use, confirmation and context require special managerial consideration to improve their performance.

This research has proposed and validated an integrated model by incorporating context-awareness theory and technology continuance theory. This study provides significant insights that can assist respective decision-makers to formulate/adjust their strategies related to the retention of the existing users of mobile payment like Alipay.

Push notification service (PNS) is an important approach to distribute personalized information to users timely and is getting more and more popular. However, users' privacy concerns are a major inhibiting factor in their continuance usage of PNS. This study investigates the effect of privacy protection functions provided by PNS sites in enhancing users' perceived fairness on the basis of justice theory to mitigate users' concerns of information privacy. The mechanism underlying such influence on users' continuance usage of PNS comprises privacy concern and privacy-control self-efficacy.

Four scenario-based surveys are conducted to test the proposed hypotheses. The authors test the research model with a sample of 360 participants by ANOVA and PLS.

Results show that the proposed privacy protection functions have direct positive effects on users' privacy-control self-efficacy, negative effects on privacy concern and indirectly affect their continuance usage of PNS. Furthermore, the interaction effects between two approaches have different impacts on users' privacy concern and privacy-control self-efficacy.

This study provides some suggestions and guidance for PNS providers to design effective privacy protection technologies.

Retailers are increasingly using self-service technologies to improve customer experience and reduce costs. The purpose of this study is to identify factors that could explain the level of continuance intention of mobile self-scanning applications in retail. Based on previous theoretical streams, the present study integrates technology readiness (TR) and service quality into the technology acceptance model.

Using data collected through an online survey of 217 users of a mobile self-scanning application of a large supermarket chain operating in Portugal, the study uses partial least squares structural equation modeling to test the proposed hypotheses.

The results indicate that the continuance usage of the self-scanning apps is directly driven by users' satisfaction and perceived usefulness. Findings also show that TR has a positive and significant impact on ease of use and perceived usefulness. Ease of use has a positive impact on users' satisfaction and perceived usefulness but has no direct effect on the continuance intention to use the application. Perceived quality has a positive direct effect on satisfaction and a positive indirect effect on continuance intention. Finally, need for interaction has a negative effect on TR.

This work contributes to a better understanding of the emerging market for mobile self-scanning applications in retail applications, particularly relevant in a digital transition context.

The quality of people life and efficiency of banks can be improved by mobile banking (m-banking). The long-term success of m-banking depends on its constant use. The purpose of this paper is to investigate the determinants of m-banking continuance intention to use, using the technology continuance theory (TCT) by including the self-efficacy and channel preference.

Empirical data from 369 Malaysian users who had prior experience with mobile banking were analysed, using partial least squares technique.

The results confirmed that the TCT model had a high exploratory power in explaining users’ perceived usefulness (PU), satisfaction, attitude and intentions to continue to use m-banking. Furthermore, self-efficacy and channel importance were important drivers of continuance intention in the context of m-banking. According to the results, perceived ease of use has no effect on PU and attitude in the post-adoption stage.

The findings help bank managers to understand the importance of meeting customers’ needs and expectations as a prerequisite in enhancing their satisfaction and favourable attitude towards m-banking and consequently their continuance intention.

Based on the TCT model, this study contributes to the limited body of research on continuance intention to use m-banking. Furthermore, self-efficacy and channel preferences were added to the TCT model and the results confirmed the importance of enriching the TCT model to explain continuance intention to use information systems by adding contextual factors.

This study aims to examine the impact of perceived risk dimensions, confirmation, perceived usefulness and perceived ease of use on user satisfaction and their continuance intention to use mobile payments across Vietnam based on the extended technology continuance theory (TCT).

This study used an online questionnaire-based survey design to collect data from 417 respondents using judgmental and snowball sampling techniques. The respondents in this survey are personal users of mobile payments across Vietnam. Data analyses and hypothesis testing were carried out using the partial least squares structural equation modeling.

The findings demonstrate that physical risk, time loss risk, opportunity cost risk, confirmation, perceived ease of use and perceived usefulness are important elements influencing consumers’ satisfaction toward continuance intentions to use mobile payment services. Satisfaction is also significantly associated with continuance intentions to use mobile payments across Vietnam. Other relationships, including functional risk, social risk, financial risk and information risk are not significantly related to satisfaction. These results are expected to be useful for mobile payment service providers. Understanding the factors mentioned in this study enables mobile payment service providers to improve their offerings strategically and then motivate their clients to keep using mobile payments.

The work is among the very few bodies of empirical research to investigate the continuance intention to use mobile payments using the extended TCT by incorporating the various dimensions of perceived risk construct in the fintech sector to develop a research model for this study. Furthermore, combining with perceived risk dimensions, this study expands the TCT model’s mobile app to the fintech sector, and advances the understanding of the use of the extended TCT in the fintech sector and adds to the theory.

The usage rate of mobile financial services (MFS) has shown an uptick since the emergence of the COVID-19 pandemic in Bangladesh. This study aims to reveal the underpinning reasons for such MFS surge and its continuance by integrating health belief model (HBM) and expectation confirmation model (ECM).

The study analyzes 529 MFS users' responses during the second wave of the COVID-19 outbreak in Bangladesh using the partial least square method.

Satisfaction is more predictive than perceived usefulness in explaining continuance usage intention. Expectation confirmation also indirectly affects continuance intention. Among the HBM constructs, the indirect effect of perceived severity on continuance intention via perceived usefulness and satisfaction is significant. Besides, the impact of self-efficacy on continuance intention is also significant. Moreover, perceived credibility significantly affects satisfaction and indirectly affected continuance usage intention via satisfaction.

The study projects boosting customers' satisfaction is critical for the successful retention of existing MFS customers. MFS service providers should emphasize the factors that amplify satisfaction. They must evaluate preadoption factors so that customers can have positive confirmation. Especially, the service providers, the policymakers and the regulators should take an active role in improving the users' self-efficacy and the system's credibility. Undertaking the MFS literacy program, installing hotline service to provide emergency help will boost users' confidence in using the system.

The study is a unique contribution in the context of Bangladesh. To the best of the authors’ knowledge, no previous MFS studies in Bangladesh explored MFS continuance usage intention during COVID-19 and beyond. Besides, the inclusion of “perceived credibility” in the framework will supplement the earlier studies conducted on this aspect.