Go Digital! Determinants of Continuance Usage of Mobile Payment Apps: Focusing on the Mediating Role of Gamification

Background: COVID-19 spread over the last two years has been instrumental in shifting physical banking transactions to mobile-based banking transactions. Recently, M-payments have dominated online and point-of-sale (POS) transactions in the Asia-pacific region. Therefore, there was a need to study the factors influencing M-payments. This research has been conducted to determine the significant factors influencing the usage and continuance usage of M-payment apps in an emerging country and particularly how gamified features enhance the usage of M-payments apps.is study is based on the perspectives of the Unified theory of acceptance and use of technology (UTAUT2) and information system success (ISS) theory, and it adds three new determinants—trust, gamified features, and continued use of mobile payments to better explain and forecast users\u27 behavioral intentions and continued use of mobile payment applications (M-payments apps). Method: The research has employed two studies on sample data from young users of M-payment apps (n=898), the dataset was analyzed through structural equation modelling for mediation and moderation analysis in study one. The second study was grounded through Vignette experiments to analyze the effects of the degree of gamified features on the continued usage of M-payments. Results: The results reported that behavioral intention to adopt, and usage of mobile payments are significantly mediated by gamified features and gamified features are partially mediating continuance usage of M-payments. Trust is the key to enabling continuance usage amongst the users of M-payments. These findings extend the understanding of users’ continuance intention in the context of payments apps. Conclusion: This study would be helpful in presenting insights for the M-payments service providers and the associated banks to develop strategy for the continuance usage of mobile payment apps

Examining the two-dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN

In recent years, research on sustainable consumption has been particularly relevant, highlighting the importance of the collective over the individual to reduce pollution. This study focuses on the study of the perceived marketplace influence (PMI) concept in its organizational and consumer dimensions, together with the financial incentives that exist in the adoption of electric cars and their effect on green customer engagement. A sample of 382 potential buyers of electric vehicles was obtained. A new hybrid analytical approach was taken structural equation modelling and artificial neural network. The research found the most significant variables affecting purchase intention were financial incentives, followed by PMI Organization and finally PMI Consumer. The results of artificial neural network analysis confirmed all the findings of the structural equation modelling, although the importance of each PMI dimension is different for each technique used. The conclusions point to new business opportunities that can be exploited by companies selling this green technology.Funding for open access charge: Universidad de Granada / CBU

Exploring Post-Adoption Behavior of the UPI users with Cognitive and Affective Factors

The National Payments Corporation of India (NPCI) has invested a sizable amount of money in the country's massive payment infrastructure in an effort to enhance the user experience. However, in order for investments to be profitable, NPCI must guarantee the ongoing use of technological solutions and post-adoptive behaviors like continuance and recommendation intention. The impact of cognitive factors (i.e. Performance expectancy, effort expectancy, social influences, facilitating conditions; personal innovativeness) and affective factors (such as satisfaction) on conative factors (such as continuation and recommendation intention) in the perspective of UPI applications (apps) was investigated using the UTAUT model. Partial Least Square Structural Equation Modeling when applied on 651 users (PLS-SEM) showed that satisfaction had a direct impact on continuation intentions, which in turn had an impact on recommendations intentions. It was discovered that all cognitive factors, including performance expectations, effort expectations, and facilitating conditions, have an impact on satisfaction. According to the study, adding a significant individual difference variable—personal innovativeness with regard to information technology—would aid in our understanding of the role that these factors play in the development of continuous intention. It further examines the influence of trust and security, and the pace of innovation on continued intentions. Through the mediating function  of user satisfaction, it also looked at the impact of performance expectancy, effort expectancy, social influence, facilitating variable, and personal innovativeness on the continuance intentions of the UPI system. All factors have been shown to be significant. Future researchers will find it extremely helpful that the study used a validated instrument to better understand user adherence and referral intentions. Therefore, this study adds to the limited body of knowledge in the payment industry literature by examining how users perceive UPI apps and post-adoption behaviors